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Water and Food as well as visit our exhibitors and sponsors.", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MFNPZ8/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MFNPZ8/", "attachments": []}, {"guid": "53f67149-c8f7-5a6b-a87d-b79dae61cbd1", "code": "9S9U8F", "id": 4694, "logo": null, "date": "2025-11-17T15:00:00+13:00", "start": "15:00", "duration": "00:30", "room": "WF Levels 5,6,7 Catering", "slug": "foss4g-2025-4694-0-afternoon-break", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9S9U8F/", "title": "Afternoon Break", "subtitle": "", "track": "Break", "type": "Afternoon Tea", "language": "en", "abstract": "This is the time where you can have a 30min break to recharge with Tea, Coffee, Juice, Water and Food", "description": "This is the time where you can have a 30min break to recharge with Tea, Coffee, Juice, Water and Food", "recording_license": 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This workshop introduces key concepts like STAC and COGs, and walks participants through real-world Earth observation analyses, empowering EO professionals to apply modern tools in their own work.", "description": "The advent of cloud computing has revolutionised the capabilities of researchers and professionals globally, helping them to access and analyse Earth observation (EO) data more easily than ever. Despite the well-understood tools and technologies, such as cloud-optimised GeoTIFFs and the Spatio-Temporal Asset Catalog (STAC) and STAC API specifications, many EO professionals have not yet had the opportunity to practically apply these innovations. This workshop aims to bridge that gap by showcasing how cloud-native geospatial technologies simplify the process of working with EO data, using Python as the primary programming language.\r\nIn part one of the workshop, we\u2019ll give an introduction to cloud native geospatial, and then participants will get hands-on coding an Earth observation data science notebook from scratch, loading and visualising Landsat data.\r\nIn part two, we\u2019ll talk about Al Gore\u2019s vision for a digital earth, and how we\u2019re on the path to realising that vision, and then we\u2019ll delve into a real-world case study focused on documenting land productivity metrics, a crucial component for monitoring the UN Sustainable Development Goal (SDG) indicators for 15.3.1, also using Landsat data. Then we\u2019ll shift over to another example of a long time series of sea-surface temperature data, accessed from Source Coop, before concluding with a discussion session.\r\nThroughout the workshop, participants will gain hands-on experience and insights into how cloud-native geospatial technologies have significantly enhanced the ability to access and analyze large volumes of EO data. By the end of the session, attendees will have acquired practical examples and knowledge to further develop their skills in this innovative field.", "recording_license": "", "do_not_record": false, "persons": [{"code": "7DNCHN", "name": "Alex Leith", "avatar": "https://talks.staging.osgeo.org/media/avatars/8e50dd2bf140ac1062331efd4a8a5dbe_XmJwlUU.jpg", "biography": "Alex is an open geospatial technologist specializing in software development, cloud infrastructure and program governance with an emphasis on Earth observation data. As Executive Director at Auspatious, Alex focuses on making data more accessible and works to support informed decision-making and promote sustainable development.\r\n\r\nAlex volunteers as a Non-Executive Board Director at the Geospatial Council of Australia, OSGeo Oceania and Earth Observation Australia and performs the role of Treasurer at Earth Observation Australia. In his free time, he enjoys exploring the wilderness with his children and sampling a great craft beer.", "public_name": "Alex Leith", "guid": "777c0ce9-50c5-5250-b0a6-1b2c11d26790", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7DNCHN/"}, {"code": "VXBNDV", "name": "Michelle Roby", "avatar": "https://talks.staging.osgeo.org/media/avatars/DSC05647_paV5uaU.jpg", "biography": "Michelle Roby is a Developer Advocate at Radiant Earth, where she leads community engagement for Cloud-Native Geospatial Forum (CNG) efforts and the Source Cooperative data sharing utility. Michelle manages community programs, organizes workshops, and contributes to documentation and tooling that make open geospatial data easier to access and use.", "public_name": "Michelle Roby", "guid": "67d3e9e4-743a-5050-93c9-ce2c1077fe05", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/VXBNDV/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZWVCEH/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZWVCEH/", "attachments": []}, {"guid": "509a4de4-966d-5c58-b375-4bbd87474d7d", "code": "KZGHTZ", "id": 4188, "logo": null, "date": "2025-11-17T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF603", "slug": "foss4g-2025-4188-exploring-cloud-native-geospatial-formats-hands-on-with-raster-data-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KZGHTZ/", "title": "Exploring Cloud-Native Geospatial Formats: Hands-on with Raster Data Workshop", "subtitle": "", "track": "Workshop - Advanced Level", "type": "Workshop", "language": "en", "abstract": "Dig into three cloud-native raster formats\u2014COGs, Zarr, and Kerchunk\u2014and learn how data access works under the hood with hands-on Python exercises, no image libraries required!", "description": "Ever wonder what GDAL is doing under the hood when you read a GeoTIFF file? Doubly so when the file is a Cloud-optimized GeoTIFF (COG) on a remote server somewhere? Have you been wondering what this new Zarr thing is all about and how it actually works? Then there's the whole Kerchunk/VirtualiZarr indexing to get cloud-native access for non-cloud-native data formats, what's that about?\r\n\r\nCloud-native geospatial is all the rage these days, and for good reason. As file sizes grow, layer counts increase, and analytical methods become more complex, the traditional download-to-the-desktop approach is quickly becoming untenable for many applications. It's no surprise then that users are turning to cloud-based tools such as Dask to scale out their analyses, or that traditional tooling is adopting new ways of finding and accessing data from cloud-based sources. But as we transition away from opening whole files to now grabbing ranges of bytes off remote servers it seems all the more important to understand exactly how cloud native data formats actually store data and what tools are doing to access it.\r\n\r\nThis workshop aims to dig into how cloud-native geospatial data formats are enabling new operational paradigms, with a particular focus on raster data formats. We'll start on the surface by surveying the current cloud-native geospatial landscape to gain an understanding of why cloud native is important and how it is being used, including:\r\n\r\n* the core tenets of cloud-native geospatial data formats\r\n* cloud-native data formats for both raster and non-raster geospatial data\r\n* the intersection with SpatioTemporal Asset Catalogs (STAC) and how higher-level STAC-based tooling can leverage cloud-native formats for efficient raster data access processing of cloud-native data\r\n\r\nThen we'll get hands-on and go deep to build up an in-depth understanding of how cloud native raster formats work. We'll examine the COG format and read a COG from a cloud source by hand using just Python, progressively grabbing data from the image until we can extract a target tile, all without using any image libraries. We'll repeat the same exercise for geospatial data in Zarr format to see how that compares to our experience with COGs. Lastly we'll turn our attention to Kerchunk/VirtualiZarr to see how these technologies might allow us to better optimize data access with non-cloud-native formats.\r\n\r\n#### Prerequisites\r\n\r\nThis workshop expects some familiarity with geospatial programming in Python. Most of the notebook code is already provided, so any gaps in understanding don't necessarily prohibit completing the exercises. That said, a basic knowledge of STAC and Cloud-Native Geospatial Python tooling and working with rasters as single and multidimensional arrays is quite helpful.\r\n\r\nA good primer workshop is Alex Leith of Auspatious's [Cloud-Native Geospatial for Earth Observation Workshop](https://github.com/auspatious/cloud-native-geospatial-eo-workshop). It is recommended to work through those activities or have an equivalent knowledge prior to working through the notebooks in this workshop.\r\n\r\n### Pre-workshop Prep\r\n\r\nWe'll have a lot to cover in the workshop and time is against us. Please try to come with a working notebook execution environment already setup and ready to go. The [workshop repository README](https://github.com/jkeifer/cng-raster-formats) outlines three different options: build and run the docker container, use a GitHub Codespace, or run from a python venv managed via `uv`.\r\n\r\nDue to the uncertain quality of conference internet, a local option (docker or using `uv`) is recommended, but Codespaces can be useful for those that cannot run either of those options.", "recording_license": "", "do_not_record": false, "persons": [{"code": "8TAMEN", "name": "Jarrett Keifer", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_7316_crop_a35B92h.jpeg", "biography": "Jarrett Keifer is a Senior Geospatial Software Engineer at Element 84, a commercial geospatial consultancy that uses open-source to build effective customer solutions. His interests include education and outreach, geospatial data formats, and high-performance systems/network programming. He enjoys designing systems to operate at scale, particularly to support remote sensing data processing and earth science applications, and has over ten years of experience contributing to open source projects.", "public_name": "Jarrett Keifer", "guid": "a96982f6-47e9-53fd-9d40-f07ed7f44fa6", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8TAMEN/"}], "links": [{"title": "Workshop repository", "url": "https://github.com/jkeifer/cng-raster-formats", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KZGHTZ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KZGHTZ/", "attachments": []}, {"guid": "da682a64-e477-5d4a-ac98-ee9adf0da7d5", "code": "PYJ8SB", "id": 4684, "logo": null, "date": "2025-11-17T17:00:00+13:00", "start": "17:00", "duration": "00:45", "room": "WF603", "slug": "foss4g-2025-4684-agm-osgeo-oceania", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PYJ8SB/", "title": "AGM - OSGeo Oceania", "subtitle": "", "track": "AGM", "type": "AGM", "language": "en", "abstract": "OSGeo Oceania Annual General Meeting", "description": "OSGeo Oceania Annual General Meeting", "recording_license": "", "do_not_record": false, "persons": [{"code": "KQTCXR", "name": "Elisa Puccioni", "avatar": "https://talks.staging.osgeo.org/media/avatars/kenex-_0010_Elisa-Puccioni_9PYSQxe.jpg", "biography": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus sit amet hendrerit lorem, in tincidunt quam. 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Whether you're new to GIS or looking for a modern alternative to traditional WebGIS tools, this session will provide a practical introduction to Re:Earth's low-code capabilities.\r\n\r\n### **What to Expect:**\r\n\r\n- **Web Map Creation**: Learn to build interactive maps using Re:Earth Visualizer\r\n- **Content Management**: Manage layers, properties, and metadata with Re:Earth CMS\r\n- **Integrated Workflow**: Understand how CMS and Visualizer work together\r\n\r\n### **Who Should Attend:**\r\n\r\nGIS users, educators, local government staff, and non-developers seeking a user-friendly, a data platform for building and managing interactive web maps \u2014 low coding required.\r\n\r\n### Advance Preparation\r\n\r\nYou can look our [online textbook](https://eukarya.notion.site/Workshop-textbook-29a16e0fb16580fda3fae3e62b93ce2b?source=copy_link)\r\n\r\nPlease register your Re:Earth account in advance through [the official website](https://reearth.io/home).", "recording_license": "", "do_not_record": false, "persons": [{"code": "Y7FMR3", "name": "Hinako Iseki", "avatar": "https://talks.staging.osgeo.org/media/avatars/twitter_icon_Vhvafh3.jpg", "biography": "GIS engineer at Eukarya, from Japan. \r\nBoard member of OSGeo Japan Chapter.", "public_name": "Hinako Iseki", "guid": "7d62334a-a8f7-5e72-b043-b087d09caaa3", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/Y7FMR3/"}, {"code": "DB9888", "name": "Maher Alhamoui", "avatar": null, "biography": "Software developer at Eukarya. 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By the end, you\u2019ll come away with a better understanding of the product development process and, hopefully, momentum on your big idea.\r\n\r\nAll are welcome: open source experts, newbies, developers, mappers, hackers, and dreamers.", "recording_license": "", "do_not_record": true, "persons": [{"code": "89DBZW", "name": "Stella Blake-Kelly", "avatar": "https://talks.staging.osgeo.org/media/avatars/sbk_team_v2_LsqWq7D.png", "biography": "Stella Blake-Kelly is a digital cartographer, product consultant, and all-round geospatial maker. She helps teams turn complex location data into intuitive, impactful products\u2014combining design with technical know-how. With over a decade of experience helping government, business and for-purpose sectors with spatial, Stella specialises in making geospatial tools people want to use.", "public_name": "Stella Blake-Kelly", "guid": "f31b9039-e65e-521c-80a0-44c7dfff5c08", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/89DBZW/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WZJEBN/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WZJEBN/", "attachments": []}, {"guid": "0f00951b-37e5-5a11-882c-1cc0f0844975", "code": "YCAYBW", "id": 4315, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/YCAYBW/qfday_XV5SO5G.jpeg", "date": "2025-11-17T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF610", "slug": "foss4g-2025-4315-international-qfield-day-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/YCAYBW/", "title": "International QField Day Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "Join us for QField Day 2025\u2014a half-day of insights, innovation, and community. Discover how QField streamlines fieldwork through powerful features, plugins, and real-world use cases across various professional sectors.", "description": "Join us for the international QField Day!\r\nDiscover the latest innovations and powerful enhancements in QField. Discover how it streamlines field data collection, simplifies workflows, and empowers professionals and organisations across various industries.\r\nWhether you're a long-time QField user, just getting started, or simply curious about cutting-edge field operations, this event is your chance to connect with the QField product team and gain valuable insights into how QField can elevate your projects.\r\nFrom rapid mapping to AI, plugins to community building\u2014and even leading research efforts like the EU-funded egeniouss project\u2014get ready for a half day of inspiration, knowledge sharing, and exploring how QField empowers people to map and understand the world, solving everyday tasks and global challenges alike.", "recording_license": "", "do_not_record": false, "persons": [{"code": "8VUFRV", "name": "Marco Bernasocchi", "avatar": "https://talks.staging.osgeo.org/media/avatars/094d5f0768ac7ead78be67b37dffe778_yJmXEAG.jpg", "biography": "Marco Bernasocchi is an open-source advocate, entrepreneur and full-stack geoninja. He is the creator of QField for QGIS, currently serves as QGIS.org Chair, and is an Open Source Geospatial Foundation board member. In his day job, Marco is the CEO of OPENGIS.ch, which he founded in 2011.\r\n\r\nA geographer by trade, Marco lives in a small Romansh-speaking mountain village in Switzerland, where he loves scrambling around the mountains to enjoy the feeling of freedom it gives him. Outgoing, flexible and open-minded, Marco fluently speaks five languages. The best thing is: He not only knows how to say it but also loves sharing his know-how.", "public_name": "Marco Bernasocchi", "guid": "00b3a94c-7e92-536b-a523-23e3d6f35d31", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8VUFRV/"}, {"code": "DLPB79", "name": "Daniel ODonohue", "avatar": null, "biography": "Daniel has spent 15 years wandering around the geospatial industry in various roles, which has given him plenty of opportunities to see what works (and what spectacularly doesn't).\r\n\r\nFor the past 5 years, he's been hosting the Mapscaping podcast, where he's had the privilege of chatting with hundreds of geospatial folks - from brilliant developers building the tools we all use, to researchers pushing boundaries, to the unsung heroes keeping projects alive. These conversations have given him a front-row seat to watch how communities form, flourish, and sometimes flame out.", "public_name": "Daniel ODonohue", "guid": "fc1a335f-eb43-5bd9-86e0-5c4aaca62615", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/DLPB79/"}, {"code": "TDP8W3", "name": "Eliane Bernasocchi", "avatar": null, "biography": null, "public_name": "Eliane Bernasocchi", "guid": "4393de1d-80ea-53ad-b2a7-1962748cef22", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/TDP8W3/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/YCAYBW/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/YCAYBW/", "attachments": []}], "WF611 Jody Garnett's Room!": [{"guid": "a7a375f8-c620-5f3f-a10b-e7e0c77a7d1e", "code": "H7LS7U", "id": 4474, "logo": null, "date": "2025-11-17T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF611 Jody Garnett's Room!", "slug": "foss4g-2025-4474-introduction-to-geoserver-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/H7LS7U/", "title": "Introduction to GeoServer Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "This workshop will cover the basics of setting up a GeoServer instance and adding vector and raster data to it, and applying styles to the data to produce a completed web map.", "description": "GeoServer is a much loved open-source project and one of the most popular web mapping services in the world. This workshop provides a gentle hands-on introduction in setting up and enjoying GeoServer.\r\n\r\nThis workshop covers the advantages of using GeoServer; looking at the abilities of this open-source technology.\r\n\r\nThis session is a great way to get started, geared towards those with no prior open source experience. Familiarity with GIS concepts is recommended for attendees, and you are welcome to bring your own data.\r\n\r\nWe will start with a demonstration of GeoServer installation and touch on system requirements and installation of extensions\r\n\r\n* Hands-on publication of spatial data (vector, raster and database).\r\n* GeoServer styling and web mapping use\r\n* Preflight check-lists making sure your datasets, and web services, are ready for use.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/H7LS7U/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/H7LS7U/", "attachments": []}, {"guid": "12c1efe9-eb65-5eb1-9432-a554e7837798", "code": "37MXUT", "id": 4482, "logo": null, "date": "2025-11-17T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF611 Jody Garnett's Room!", "slug": "foss4g-2025-4482-geotools-geospatial-introduction-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/37MXUT/", "title": "GeoTools Geospatial Introduction Workshop", "subtitle": "", "track": "Workshop - Intermediate Level", "type": "Workshop", "language": "en", "abstract": "Introduction to spatial concepts for the Java developer. This is a great programmer first introduction to everything from geometry to map features and styling.\r\n\r\nWorkshop updated with latest Java 17, ImageN, and CQL2 technologies.", "description": "Are you new to GeoSpatial? This GeoTools session is back by popular demand updated with Java 17 examples and the latest ImageN and CQL2 technologies. Offering a visual introduction for Java developers we will explore  how you can integrate GIS services into your next project.\r\n\r\nFor those new to the GeoSpatial scene we provide an introduction to spatial concepts and how to avoid common pitfalls.\r\n\r\nThe workshop offers a steady series of workbooks introducing:\r\n\r\n* Feature creation\r\n* JTS Geometry\r\n* Coordinate Reference Systems and Re-projection\r\n* Geospatial data and spatial queries\r\n* Accessing large format rasters\r\n* Rendering, cartography and styling\r\n* Raster Operations with ImageN\r\n\r\nCovering both the concepts and the science of map making the workbooks serve as an excellent reference, but the focus is always on you and the code you need to get the job done.\r\n\r\nThis is a hands-on workshop - so bring your Java IDE or command line and a sense of adventure.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/37MXUT/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/37MXUT/", "attachments": []}], "WF502": [{"guid": "2648be56-4e24-5ccd-8c5f-b16ac15ad65d", "code": "AGFBHA", "id": 4337, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/AGFBHA/day-04-hexa_7hrjJyo.png", "date": "2025-11-17T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF502", "slug": "foss4g-2025-4337-hands-on-dggs-and-ogc-dggs-api-with-dggrid-and-pydggsapi-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AGFBHA/", "title": "Hands-on DGGS and OGC DGGS-API with DGGRID and pydggsapi Workshop", "subtitle": "", "track": "Workshop - Intermediate Level", "type": "Workshop", "language": "en", "abstract": "This hands-on workshop walks through a full DGGS data pipeline. You'll use the FOSS tool DGGRID to index geospatial data and then publish it using pydggsapi, a new open-source server for the OGC API DGGS standard. Leave with a running web service on your laptop.", "description": "Discrete Global Grid Systems (DGGS) are getting more attention, and with the new OGC API - DGGS standard released, it's a good time for the open-source community to get practical, hands-on experience. This workshop bridges the gap between the theory of DGGS and a working implementation.\r\n\r\nWe'll show you why DGGS are so useful for integrating and indexing different data sources and spatial data analysis without the usual headache of map projections. Then, we work through a complete, real-world data pipeline using FOSS tools.\r\n\r\nIn this workshop, you will:\r\n\r\n- take a standard geospatial file (like a GeoTIFF or GeoPackage).\r\n- use the command-line tool DGGRID (https://github.com/sahrk/DGGRID | https://dggrid.readthedocs.io/latest/ ), generate grids and index this data onto a hexagonal grid\r\n- we will introduce hierarchical indexing for ISEA3H and ISEA7H with the new Z3 and Z7 indexing systems in DGGRID\r\n- in the decond part, we set up and configure pydggsapi (https://github.com/LandscapeGeoinformatics/pydggsapi/ | https://pydggsapi.readthedocs.io/en/latest/), an open-source Python server that implements the newly (to be) released OGC API - DGGS standard.\r\n\r\n- we then point pydggsapi at the data you just created and launch the service\r\n- we explore several ways how to interact with your new web service using a browser, or curl/Python notebook, and maybe even QGIS, to make queries and retrieve data.\r\n\r\nWho should attend?\r\n\r\nThis workshop is for developers, data managers, and generally DGGS and geospatial enthusiasts who want to learn how to publish their data using this new paradigm.\r\n\r\nPrerequisites:\r\n\r\nParticipants should be comfortable with the command line and have a basic understanding of what geospatial raster and vector data are. We can use Docker or plain Miniconda/Micromamba/Pixi Python environments to ensure the dependencies are easy to set up for everyone. Bring your laptop (Win, Mac, Linux, *BSD might all work).\r\n\r\nBy the end, you will understand the concepts of DGGS-indexed data and will have built a functioning DGGS-based web service yourself.", "recording_license": "", "do_not_record": false, "persons": [{"code": "PQFYHP", "name": "Alexander Kmoch", "avatar": "https://talks.staging.osgeo.org/media/avatars/propic_Alexander_Kmoch_geog2_0fBoMB2.png", "biography": "Alex is an Associate Professor in Geoinformatics and a Distributed Spatial Systems Researcher with many years of experience in open-source geospatial data management and web- and cloud-based geoprocessing with a particular focus on land use, soils, hydrology, hydrogeology and water quality data. His interests include Discrete Global Grid Systems (DGGS), OGC standards and web-services for environmental and geo-scientific data sharing, modelling workflows and interactive geo-scientific visualisation.\r\n\r\nAlex completed a Marie Sk\u0142odowska-Curie Individual Fellow (MSCA) with our Landscape Geoinformatics working group on improving standardised data preparation, parameterization and parallelisation for hydrological and water quality modelling across scales and has now started a 5-year project on spatial modelling of soil properties using machine-learning.", "public_name": "Alexander Kmoch", "guid": "f982ce9d-e4ac-586d-ba7f-3c01bf216bb5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PQFYHP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AGFBHA/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AGFBHA/", "attachments": []}, {"guid": "841ba313-898c-56c2-b167-3756df3f529d", "code": "CVT8GC", "id": 3769, "logo": null, "date": "2025-11-17T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF502", "slug": "foss4g-2025-3769-getting-sentinel-data-within-seconds-with-stac-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CVT8GC/", "title": "Getting Sentinel Data within Seconds with STAC Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "Discover how to access and analyze Sentinel satellite imagery in seconds using STAC APIs and Microsoft Planetary Computer. In this hands-on workshop, you'll use Python to fetch data, calculate vegetation indices, and build efficient Earth observation workflows.", "description": "This hands-on workshop introduces a modern and efficient way to access and analyze Sentinel satellite data using STAC (SpatioTemporal Asset Catalog) APIs and the Microsoft Planetary Computer. You'll learn how to build scalable Earth observation workflows in Python\u2014without downloading massive datasets manually.\r\nWe\u2019ll begin with an overview of STAC and the role of the Microsoft Planetary Computer as a cloud-native source for open geospatial data. Participants will learn how to search and access Sentinel-2 and Sentinel-1 imagery based on time, location, and cloud coverage\u2014directly within Python using libraries like pystac-client, odc-stac, and xarray.\r\nDuring the workshop, you'll:\r\n- Search and preview Sentinel datasets using STAC\r\n- Fetch cloud-hosted imagery from Microsoft Planetary Computer\r\n- Visualize bands and calculate vegetation indices like NDVI, EVI, and RVI\r\n- Perform pixel-level analysis with minimal compute time\r\n- Build efficient, reproducible workflows using Jupyter notebooks\r\n\r\nBy the end, you\u2019ll have a working pipeline to go from area of interest to actionable insights in minutes\u2014ideal for environmental monitoring, agriculture, and forest analysis. This workshop is perfect for developers, remote sensing analysts, or GIS professionals looking to simplify and accelerate their satellite data workflows.", "recording_license": "", "do_not_record": false, "persons": [{"code": "J7Z7F8", "name": "krishna lodha", "avatar": "https://talks.staging.osgeo.org/media/avatars/me_nr4yySK.jpg", "biography": "Krishna Lodha is the founder and director of [Rotten Grapes Private Limited](https://rottengrapes.tech/), a software development company specializing in open-source GIS solutions. With a strong background in geospatial technologies and a passion for FOSS, Krishna has led the development of several impactful Web GIS applications for clients across forestry, agriculture, water management, and urban planning sectors. Under his leadership, the company has successfully deployed solutions that leverage platforms like GeoServer, OpenLayers, and QGIS, helping government and private organizations optimize their spatial data workflows.\r\n\r\nKrishna is also a content creator who shares knowledge through [YouTube tutorials](https://www.youtube.com/@krishnaglodha) and [technical blogs](https://medium.com/rotten-grapes) focused on open-source GIS development. His work emphasizes practical, scalable solutions using open standards and tools, aiming to make geospatial technology more accessible to developers and analysts alike.\r\n\r\nAn advocate for community-driven innovation, Krishna regularly mentors students and professionals interested in building careers in geospatial software. He actively participates in open-source projects and contributes to the broader FOSS4G ecosystem.", "public_name": "krishna lodha", "guid": "31289962-4743-536d-bb09-b711c119b4c5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/J7Z7F8/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CVT8GC/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CVT8GC/", "attachments": []}], "WF503": [{"guid": "401fb1b3-12d6-5290-a60e-78c9379aa17c", "code": "NJERTQ", "id": 4460, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/NJERTQ/Screenshot_2025-07-11_at_12.26.47_o7XkvFG.png", "date": "2025-11-17T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF503", "slug": "foss4g-2025-4460-building-geospatial-ai-applications-from-data-to-insights-with-open-source-tools-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NJERTQ/", "title": "Building Geospatial AI Applications: From Data to Insights with Open Source Tools Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "Combine deck.gl visualization, data processing, and AI APIs to create intelligent mapping applications. Build a real geospatial AI app from scratch, processing spatial data and generating insights through modern web technologies.", "description": "This hands-on workshop guides developers through building a complete geospatial AI application using modern open source tools. Participants will create a functional application that processes spatial data, generates AI-powered insights, and presents results through interactive visualizations - all running in the browser with no backend required.\r\n\r\n### Technology Stack\r\n\r\n- **Visualization**: deck.gl for high-performance geospatial rendering\r\n- **App development**: Vercel AI SDK \r\n- **AI Integration**: AI APIs for intelligent data analysis\r\n- **Cloud Analysis**: Using MCP to access data and run cloud analysis from CARTO platform\r\n- **Development**: React with TypeScript\r\n\r\n### Workshop Structure\r\n\r\n#### Hour 1:  Foundation\r\n- Project setup with React, TypeScript\r\n- Simple LLM tool integration\r\n\r\n#### Hour 2: AI & data Integration\r\n- Loading and processing geospatial datasets (GeoJSON, CSV)\r\n- Controlling UI via AI\r\n\r\n#### Hour 3: Visualization and Integration\r\n- Creating interactive maps with deck.gl\r\n- Connecting CARTO maps & external tools\r\n- Postprocessing\r\n\r\n### Requirements\r\n\r\n- JavaScript/TypeScript and React experience\r\n- Laptop with Node.js and modern browser\r\n- Anthropic API key\r\n\r\nParticipants will leave with a complete, functional geospatial AI application and reusable code patterns for building similar applications.", "recording_license": "", "do_not_record": false, "persons": [{"code": "QEWFVN", "name": "Felix Palmer", "avatar": "https://talks.staging.osgeo.org/media/avatars/T08SE2FMZLP-U08SE2FNE0P-9f7bbe65c4f7-512_uLCdC4B.jpg", "biography": "Master in Physics by the University of Oxford. Primary maintainer of [deck.gl](https://deck.gl), the leading open-source framework for high-performance web geospatial visualization. Creator of [A5](https://a5geo.org), an innovative pentagonal spatial indexing system with truly equal area cells that offers superior accuracy and lower distortion than traditional hexagonal approaches.", "public_name": "Felix Palmer", "guid": "3f4b2ac6-357e-5b9a-ac02-90b8959fe22a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/QEWFVN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NJERTQ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NJERTQ/", "attachments": []}, {"guid": "866afbcb-64ca-5c05-a776-64d4efa64a2c", "code": "XD8Z8K", "id": 3720, "logo": null, "date": "2025-11-17T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF503", "slug": "foss4g-2025-3720-doing-geospatial-with-python", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XD8Z8K/", "title": "Doing Geospatial with Python", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "This workshop will provide an introduction to performing common GIS/geospatial tasks using Python geospatial tools such as OWSLib, Shapely, Fiona/Rasterio, and common geospatial libraries like GDAL, PROJ, pycsw, as well as other tools from the geopython toolchain.", "description": "With a low barrier to entry and large ecosystem of tools and libraries, Python is the lingua franca for geospatial development. Whether you are doing data acquisition, processing, publishing, integration or analysis, there is no shortage of solid Python tools to assist in your daily workflows.\r\n\r\nThis workshop will provide an introduction to performing common GIS/geospatial tasks using Python geospatial tools such as OWSLib, Shapely, Fiona/Rasterio, and common geospatial libraries like GDAL, PROJ, pycsw, as well as other tools from the geopython toolchain. Manipulate vector/raster data using Shapely, Fiona and Rasterio. Publish data and metadata to OGC web services using pygeoapi, pygeometa, pycsw, and more. Visualize your data on a map using Jupyter and Folium. Plus a few extras in between!\r\n\r\nThe workshop is provided using the Jupyter Notebook environment with Python 3.\r\n\r\n**Requirements for the Attendees**\r\n\r\nPlease see https://geopython.github.io/geopython-workshop for details on how to setup the workshop before you attend.\r\n\r\nA Gitter channel exists at https://gitter.im/geopython/geopython-workshop for discussion and live support from the developers of the workshop.\r\n\r\nThe workshop uses Jupyter Notebooks. Jupyter is an interactive development environment suitable for documenting and reproducing workflows using live code.\r\n\r\nAs the installation of all dependencies on all platforms (Windows, Mac, Linux) can be quite involved and complex, this workshop provides all components within a Docker Image.\r\n\r\nIn addition, geospatial web services like pygeoapi and pycsw in this workshop are provided by Docker images.\r\n\r\nThe core requirement is to have Docker and Docker Compose installed on the system. Once you have Docker and Docker Compose installed you will be able to install the workshop without any other dependencies.", "recording_license": "", "do_not_record": false, "persons": [{"code": "H8LVLX", "name": "Tom Kralidis", "avatar": "https://talks.staging.osgeo.org/media/avatars/83c097f0f3c7bcea5f7fb0eaf41b00a5_vB70GlK.jpg", "biography": "Tom Kralidis is with the Meteorological Service of Canada and longtime contributor to FOSS4G. He leads and contributes to numerous projects in the Geopython ecosystem.  He is the 2024 recipient of the Sol Katz Award for Free and Open Source Software for Geospatial (FOSS4G), awarded annually by OSGeo to individuals who have demonstrated leadership in the FOSS4G community.\r\n\r\nTom is the co-chair of the OGC API - Records Standards Working Group, chair of the WMO Expert Team on Metadata, and serves on the OSGeo Board of Directors.  He is the 2024 recipient of the Sol Katz award.", "public_name": "Tom Kralidis", "guid": "9428ef15-62ef-5dd8-b134-61bd98b184f5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/H8LVLX/"}, {"code": "J7Z7F8", "name": "krishna lodha", "avatar": "https://talks.staging.osgeo.org/media/avatars/me_nr4yySK.jpg", "biography": "Krishna Lodha is the founder and director of [Rotten Grapes Private Limited](https://rottengrapes.tech/), a software development company specializing in open-source GIS solutions. With a strong background in geospatial technologies and a passion for FOSS, Krishna has led the development of several impactful Web GIS applications for clients across forestry, agriculture, water management, and urban planning sectors. Under his leadership, the company has successfully deployed solutions that leverage platforms like GeoServer, OpenLayers, and QGIS, helping government and private organizations optimize their spatial data workflows.\r\n\r\nKrishna is also a content creator who shares knowledge through [YouTube tutorials](https://www.youtube.com/@krishnaglodha) and [technical blogs](https://medium.com/rotten-grapes) focused on open-source GIS development. His work emphasizes practical, scalable solutions using open standards and tools, aiming to make geospatial technology more accessible to developers and analysts alike.\r\n\r\nAn advocate for community-driven innovation, Krishna regularly mentors students and professionals interested in building careers in geospatial software. He actively participates in open-source projects and contributes to the broader FOSS4G ecosystem.", "public_name": "krishna lodha", "guid": "31289962-4743-536d-bb09-b711c119b4c5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/J7Z7F8/"}, {"code": "GDVTCB", "name": "Jorge S. Mendes de Jesus", "avatar": null, "biography": "Jorge S. Mendes de Jesus is an Agronomist and geoinformatics specialist with a PhD in Geography and Sustainable Development from Ben-Gurion University. He has extensive experience in spatial data infrastructures, having worked at the Joint Research Center (ISPRA) as an OGC web service developer, Plymouth Marine Laboratory on remote sensing applications, and ISRIC on major projects including SoilGrids and WOCAT. Jorge currently runs TerraOps - Innovations (https://terraops.org), providing Geo-as-a-Service solutions and REST API development for geospatial data using the OSGeo stack. His expertise spans Python programming, Kubernetes deployment, and spatial data analysis for agricultural and environmental applications.", "public_name": "Jorge S. Mendes de Jesus", "guid": "85647afe-a73d-5d50-84ba-514a35847d05", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GDVTCB/"}], "links": [{"title": "Doing Geospatial in Python", "url": "https://geopython.github.io/geopython-workshop", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XD8Z8K/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XD8Z8K/", "attachments": []}], "WF510": [{"guid": "3254feb1-db66-53e7-a461-a51eb89e5518", "code": "ZFPBLE", "id": 3744, "logo": null, "date": "2025-11-17T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF510", "slug": "foss4g-2025-3744-qgis-plugin-development-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZFPBLE/", "title": "QGIS PLUGIN DEVELOPMENT Workshop", "subtitle": "", "track": "Workshop - Advanced Level", "type": "Workshop", "language": "en", "abstract": "This hands-on workshop teaches the basics of QGIS plugin development with Python. Participants will learn to set up their environment, build functional tools, and extend QGIS capabilities. Ideal for GIS users and developers, the session includes a practical project where attendees create and test a simple plugin.", "description": "\ud83d\udc65 Target Audience:\r\n\r\nGIS analysts, researchers, environmental scientists, developers and GIS enthusiasts\r\n\r\nAnyone with basic Python knowledge and interest in geospatial tools\r\n\r\n\ud83c\udfaf Learning Objectives:\r\n\r\nUnderstand the QGIS plugin architecture and how QGIS interacts with Python\r\nLearn to set up a development environment for plugin creation\r\nBuild and package a basic functional plugin\r\nUnderstand GUI design using Qt Designer\r\nUse PyQGIS API to access layers, features, and perform spatial tasks\r\nLearn tips for plugin debugging, deployment, and sharing via QGIS Plugin Repository", "recording_license": "", "do_not_record": false, "persons": [{"code": "ZXHQVX", "name": "Michel Nzikou Mamboukou", "avatar": "https://talks.staging.osgeo.org/media/avatars/Michel_portrait_photo_dHUHVcB.jpg", "biography": "Dr. Michel M. Nzikou is a Research Fellow at the Centre for Exploration Targeting (CET) at The University of Western Australia (UWA). His current research focuses on developing QGIS plugins to enhance the usability of the Loop3D algorithm for three-dimensional subsurface geological modelling.\r\n\r\nHe holds a PhD in Exploration Geophysics from Curtin University, awarded in 2019. Prior to his role at UWA, Dr. Michel M. Nzikou gained extensive industry experience as a field, processing, and interpretation geophysicist with Epiroc, Moombarriga Geoscience, and HiSeis.\r\n\r\nHe is a strong advocate for open-source technology and is passionate about advancing science through open collaboration and knowledge sharing. Outside of his academic and professional pursuits, he has also been a member of the Fury River Dragon Boat team, competing at both state and national levels.", "public_name": "Michel Nzikou Mamboukou", "guid": "b0743179-64f9-543c-8a95-847e73375076", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ZXHQVX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZFPBLE/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZFPBLE/", "attachments": []}], "WF702": [{"guid": "aece53c4-f10f-506e-9479-bf250ecb689f", "code": "BJJF7M", "id": 4321, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/BJJF7M/qfield_for_qgis_i1KsZzD.png", "date": "2025-11-17T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF702", "slug": "foss4g-2025-4321-qfield-qfieldcloud-hands-on-fieldwork-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BJJF7M/", "title": "QField & QFieldCloud: Hands-On Fieldwork Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "Learn how to do fieldwork with QField and QFieldCloud, the fieldwork apps for QGIS.", "description": "QField is the field data collection app for QGIS. It is trusted over million times and used by hundreds of thousands of users every month. QFieldCloud is the synchronization and fieldwork management platform for QField and QGIS.\r\n\r\nThis workshop will introduce the basics of QField and QFieldCloud to achieve effortless fieldwork.\r\n\r\nWe will walk through the entire fieldwork process, including setting up your QGIS project, publishing the project via QFieldCloud, collecting data using the QField mobile app, and synchronizing field data back into your main dataset at the office.\r\n\r\nBasic knowledge of QGIS is desirable but not essential. Participants are asked to bring their own laptops and have the QField app pre-installed on their smartphone or tablet.\r\n\r\nThe app is available for Android, iOS, Windows, Linux and MacOS.", "recording_license": "", "do_not_record": false, "persons": [{"code": "MYMVUL", "name": "Ivan Ivanov", "avatar": "https://talks.staging.osgeo.org/media/avatars/cb99d7b158e420ea430bb3f1b0d7bdb6_afcIdy9.jpg", "biography": "I am the lead developer and product owner of QFieldCloud, part of OPENGIS.ch. I also do QGIS, QField, pyQGIS and Django development. Based in Bulgaria, citizen of the world.", "public_name": "Ivan Ivanov", "guid": "72bcd292-7ba6-53b2-97f2-e95ed95a0435", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/MYMVUL/"}, {"code": "PESSWX", "name": "Berit Mohr", "avatar": "https://talks.staging.osgeo.org/media/avatars/Berit_Mohr_Kreis_8eTbusr.png", "biography": "Berit Mohr is a passionate GIS enthusiast and advocate for open-source software. In October 2024, she joined OPENGIS.CH as a GIS specialist, where she advises, trains, and manages small and big projects.\r\nHaving lived in New Zealand for 10 years, she has had the chance to gain extensive experience across academia, the private sector, and development cooperation. Berit brings a global perspective to her work enhancing her talent for teaching and translating across languages.\r\nIn her free time, Berit enjoys exploring the outdoors with her bike, tending her garden, and hiking in the mountains, spending every possible moment in nature.", "public_name": "Berit Mohr", "guid": "47c7f1e2-7abf-5c66-974a-78217c153c5d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PESSWX/"}, {"code": "UVNRZV", "name": "Mathieu Pellerin", "avatar": null, "biography": "Mathieu Pellerin is the QField lead developer and project owner over at OPENGIS.ch as well as a QGIS core developer. While starting mainly focused on user interface improvements, Mathieu has over the year touched on many parts of QGIS from symbology to data providers and the processing toolbox.", "public_name": "Mathieu Pellerin", "guid": "40a7abe0-bdfb-52f9-9aa7-d2c35829e54a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/UVNRZV/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BJJF7M/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BJJF7M/", "attachments": []}, {"guid": "d90343c3-7eab-590f-8883-6436cad37be4", "code": "RUVQSJ", "id": 4292, "logo": null, "date": "2025-11-17T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF702", "slug": "foss4g-2025-4292-cartography-for-rebels-building-beautiful-maps-with-free-tools-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RUVQSJ/", "title": "Cartography for Rebels: Building Beautiful Maps with Free Tools Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "Learn to create a map from start to finish using QGIS and open data in this beginner-friendly workshop. No prior knowledge is required. By utilising open source software and data, participants gain hands-on experience in map creation while exploring cost-effective open-source tools.", "description": "In this workshop, participants will learn how to create a map from start to finish using open source software such as QGIS and freely available open data. No prior experience is required - the session is designed to be beginner-friendly and welcoming to all skill levels.\r\nBy working with open source tools and open data, participants will gain hands-on experience in map creation while exploring the power and flexibility of cost-effective, community-driven solutions.\r\nDuring the workshop, we\u2019ll cover techniques such as generating hillshades from Digital Elevation Models (DEMs) and integrating them with other layers, including aerial or satellite imagery, to enhance map presentation. We\u2019ll also explore data-driven symbology, rule-based labelling, and final steps to prepare the map for print.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BNKK3R", "name": "Pierre Kurth", "avatar": "https://talks.staging.osgeo.org/media/avatars/PK_470x515_grey_yPkKpZf.jpg", "biography": "Pierre is a seasoned Cartographer and GIS specialist with 20+ years of experience across print, digital, and spatial domains. Known for his hands-on approach and client-first mindset, he delivers impactful GIS training and guides organisations through seamless transitions to modern spatial systems. Since joining NGIS in 2022, he\u2019s expanded his training expertise across both open-source and enterprise GIS platforms. Catch him at FOSS4G Auckland - he might just map his way into your next project.", "public_name": "Pierre Kurth", "guid": "e91a5158-c8d5-58cd-a3d0-7b0c2e62eb5f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BNKK3R/"}, {"code": "7Z8LG8", "name": "Mike Gresham", "avatar": "https://talks.staging.osgeo.org/media/avatars/Professional_9IGriVN.jpg", "biography": "Mike has more than 20 years experience with geospatial applications in a wide range of industry fields and disciplines i.e. forestry, energy, civil infrastructure, asset management, geotechnical engineering, environmental impact assessments, mining, oil and gas. His interest areas include geospatial strategy and requirements analysis, application development, automation, remote sensing, cartography and the application of geospatial technologies in project environments.\r\n\r\nHe is also a strong advocate for the Open Source community and loves what it brings to the geospatial industry.", "public_name": "Mike Gresham", "guid": "ef11911a-4399-5032-873d-a436988f9c1d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7Z8LG8/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RUVQSJ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RUVQSJ/", "attachments": []}], "WF710": [{"guid": "4b136b7e-ed79-5509-9ce3-631aed1134aa", "code": "83XWUZ", "id": 3719, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/83XWUZ/pygeoapi-logo-notrans_1db1zTO.png", "date": "2025-11-17T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF710", "slug": "foss4g-2025-3719-diving-into-pygeoapi-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/83XWUZ/", "title": "Diving into pygeoapi Workshop", "subtitle": "", "track": "Workshop - Intermediate Level", "type": "Workshop", "language": "en", "abstract": "pygeoapi is an OGC Reference Implementation supporting numerous OGC API specifications. This workshop will cover publishing geospatial data to the Web using pygeoapi in support of the suite of OGC API standards.", "description": "pygeoapi is an OGC Reference Implementation supporting numerous OGC API specifications. Lightweight, easy to deploy and cloud-ready, pygeoapi's architecture facilitates publishing datasets and processes from multiple data sources to the Web. This tutorial will cover publishing geospatial data to the Web, and using the API from QGIS, OWSLib and a web browser. The workshop will cover the following OGC API standards:\r\n\r\n- OGC API - Features\r\n- OGC API - Coverages (OACov)\r\n- OGC API - Maps (OAMaps)\r\n- OGC API - Tiles (OATiles)\r\n- OGC API - Processes (OAProc)\r\n- OGC API - Records (OARec)\r\n- OGC API - Environmental Data Retrieval (EDR)\r\n- SpatioTemporal Asset Catalog (STAC)\r\n\r\n**Requirements for the Attendees**\r\n\r\nPlease consult the workshop documentation at https://dive.pygeoapi.io, and ensure you are setup accordingly (https://dive.pygeoapi.io/setup) prior to attending the workshop.\r\n\r\nA Gitter channel exists at https://gitter.im/geopython/diving-into-pygeoapi for discussion and live support from the developers of the workshop.\r\n\r\nAs the installation of all dependencies on all platforms (Windows, Mac, Linux) can be quite involved and complex, this workshop provides all components within a Docker Image.\r\n\r\nThe core requirement is to have Docker and Docker Compose installed on the system. Once you have Docker and Docker Compose installed you will be able to install the workshop without any other dependencies.", "recording_license": "", "do_not_record": false, "persons": [{"code": "H8LVLX", "name": "Tom Kralidis", "avatar": "https://talks.staging.osgeo.org/media/avatars/83c097f0f3c7bcea5f7fb0eaf41b00a5_vB70GlK.jpg", "biography": "Tom Kralidis is with the Meteorological Service of Canada and longtime contributor to FOSS4G. He leads and contributes to numerous projects in the Geopython ecosystem.  He is the 2024 recipient of the Sol Katz Award for Free and Open Source Software for Geospatial (FOSS4G), awarded annually by OSGeo to individuals who have demonstrated leadership in the FOSS4G community.\r\n\r\nTom is the co-chair of the OGC API - Records Standards Working Group, chair of the WMO Expert Team on Metadata, and serves on the OSGeo Board of Directors.  He is the 2024 recipient of the Sol Katz award.", "public_name": "Tom Kralidis", "guid": "9428ef15-62ef-5dd8-b134-61bd98b184f5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/H8LVLX/"}, {"code": "J7Z7F8", "name": "krishna lodha", "avatar": "https://talks.staging.osgeo.org/media/avatars/me_nr4yySK.jpg", "biography": "Krishna Lodha is the founder and director of [Rotten Grapes Private Limited](https://rottengrapes.tech/), a software development company specializing in open-source GIS solutions. With a strong background in geospatial technologies and a passion for FOSS, Krishna has led the development of several impactful Web GIS applications for clients across forestry, agriculture, water management, and urban planning sectors. 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Visit the [QGIS Earth Engine Plugin Installation Guide](https://gee-community.github.io/qgis-earthengine-plugin/installation/) for step-by-step instructions.", "recording_license": "", "do_not_record": false, "persons": [{"code": "ATDGPE", "name": "Ujaval Gandhi", "avatar": "https://talks.staging.osgeo.org/media/avatars/ujaval_round_KYEFkgr.png", "biography": "Ujaval is the founder of [Spatial Thoughts](https://spatialthoughts.com/) - a learning platform for modern geospatial technologies. Ujaval got his Masters in Geospatial Information Engineering from the University of Wisconsin-Madison. After joining Google Inc. in California, he moved to India in 2006. He was one of the early employees at Google India and part of the team that launched Google Maps for India. He worked on multiple Geo teams at Google and led the GIS team in India.\r\n\r\nAfter 15 years of corporate experience, he left Google in 2020 to work on his startup - Spatial Thoughts - to create a learning platform to bridge the skill gap in the geospatial industry. His online academy has trained participants from over 100 countries. His learning materials on QGIS, Python, Earth Engine, and GDAL are cited as the top learning resources globally and are used by more than 1 million people every year.\r\n\r\nUjaval is a world-renowned training facilitator and is passionate about advancing the use of open-source technologies in teaching and research. He is an active QGIS community contributor and a QGIS.org certified training provider.", "public_name": "Ujaval Gandhi", "guid": "f79ce8ae-af5b-597b-8b13-0d9ed7095a65", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ATDGPE/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GQLTEA/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GQLTEA/", "attachments": []}, {"guid": "76ad0714-f585-55de-a885-619430ce65bc", "code": "G8XDLT", "id": 3768, "logo": null, "date": "2025-11-18T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF603", "slug": "foss4g-2025-3768-building-spatial-apis-in-postgresql-with-postgrest-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/G8XDLT/", "title": "Building Spatial APIs in PostgreSQL with PostgREST Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "Join this hands-on workshop to learn how to build fully functional spatial APIs using PostgreSQL, PostGIS, and PostgREST. We'll cover setup, data exposure, and using spatial functions\u2014empowering you to build powerful, backend-free geospatial services using just SQL.", "description": "This workshop is a deep dive into building geospatial APIs directly from your PostgreSQL database using PostgREST and PostGIS\u2014no backend frameworks required. You'll learn how to expose spatial data (like points, lines, and polygons) as RESTful endpoints, and perform geospatial operations such as distance queries, intersections, and bounding box filters using PostGIS functions.\r\nWe\u2019ll begin by setting up PostgreSQL with PostGIS and configuring PostgREST to serve your database as a REST API. Then, we'll walk through creating tables, views, and SQL functions to handle various spatial use cases. You'll learn how to query spatial data through HTTP, return GeoJSON responses, and optimize queries for performance.\r\nParticipants will get hands-on experience with:\r\nInstalling and configuring PostgREST\r\nWorking with spatial data types and functions in PostGIS\r\nCreating and securing spatial endpoints\r\nBuilding and testing real-world use cases (e.g., find nearby features, filter by geometry)\r\nBy the end of the session, you\u2019ll have a fully working geospatial API built entirely with SQL\u2014ready for integration with frontend apps, dashboards, or GIS tools. Ideal for developers, GIS analysts, and anyone interested in modern spatial data APIs without the complexity of writing backend code.", "recording_license": "", "do_not_record": false, "persons": [{"code": "J7Z7F8", "name": "krishna lodha", "avatar": "https://talks.staging.osgeo.org/media/avatars/me_nr4yySK.jpg", "biography": "Krishna Lodha is the founder and director of [Rotten Grapes Private Limited](https://rottengrapes.tech/), a software development company specializing in open-source GIS solutions. With a strong background in geospatial technologies and a passion for FOSS, Krishna has led the development of several impactful Web GIS applications for clients across forestry, agriculture, water management, and urban planning sectors. Under his leadership, the company has successfully deployed solutions that leverage platforms like GeoServer, OpenLayers, and QGIS, helping government and private organizations optimize their spatial data workflows.\r\n\r\nKrishna is also a content creator who shares knowledge through [YouTube tutorials](https://www.youtube.com/@krishnaglodha) and [technical blogs](https://medium.com/rotten-grapes) focused on open-source GIS development. His work emphasizes practical, scalable solutions using open standards and tools, aiming to make geospatial technology more accessible to developers and analysts alike.\r\n\r\nAn advocate for community-driven innovation, Krishna regularly mentors students and professionals interested in building careers in geospatial software. He actively participates in open-source projects and contributes to the broader FOSS4G ecosystem.", "public_name": "krishna lodha", "guid": "31289962-4743-536d-bb09-b711c119b4c5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/J7Z7F8/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/G8XDLT/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/G8XDLT/", "attachments": []}], "WF613": [{"guid": "1591c7be-f804-5845-8ba2-a26922dfa155", "code": "7S9CLN", "id": 4231, "logo": null, "date": "2025-11-18T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF613", "slug": "foss4g-2025-4231-terra-draw-cross-platform-drawing-library-for-all-map-applications-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7S9CLN/", "title": "Terra Draw - cross-platform drawing library for all map applications Workshop", "subtitle": "", "track": "Workshop - Intermediate Level", "type": "Workshop", "language": "en", "abstract": "Terra Draw is a drawing library for cross-platform mapping libraries such as Maplibre, Leaflet, OpenLayers, Mapbox, Google Maps, ArcGIS. It brings advanced drawing features for all web map applications with a unified API. This workshop introduces you how you can develop drawing feature with Terra Draw in your application.", "description": "[Terra Draw](https://github.com/JamesLMilner/terra-draw) is developed and maintained by James Milner. The speaker is a author of maplibre-gl-terradraw that is Tarra Draw plugin for maplibre-gl-js. This workshop's proposed agenda includes two parts - presentation and hands-on:\r\n\r\nFirstly, introduction of Terra Draw will be delivered in order to let you understand what Terra Draw can bring to your map application.\r\n\r\nThe next part will be hands-on exercise. As an example of use of Terra Draw, the workshop will show you how you can integrate drawing feature with Maplibre GL JS. The agenda of exercise will be:\r\n\r\n- Installation and setup basic functionality of raw Terra Draw\r\n- Advanced functinalities of Terra Draw (layer stying, events, adding data, etc)\r\n- Quick introduction and tutorial of maplibre-gl-terradraw plugin\r\n\r\nEach participant is expected to bring a laptop computer installed in [NodeJS v22 LTS](https://nodejs.org) and [VSCode](https://code.visualstudio.com/) to exercise Terra Draw in own computer with provided sample codes.\r\nThe workshop will use Maplibre as an example, however participants can choose any mapping libraries such as Leaflet, OpenLayers if they prefer using it.\r\n\r\nIf time is allowed, the exercise will show you how you can integrate Terra Draw with different map libraries other than Maplibre. Terra Draw has a unified API, so it will be pretty easier for you to adapt it once you will be familiar.", "recording_license": "", "do_not_record": false, "persons": [{"code": "QN9QGN", "name": "Jin Igarashi", "avatar": "https://talks.staging.osgeo.org/media/avatars/2639701_9ZSELCD.jpeg", "biography": "Jin Igarashi is senior software developer working on geospatial for many years. Since I was involved in water projects as GIS developer in Eastern Africa in 2014, I develop and maintain several open source software (called GIS for water) supporting water utilities in Africa to manage and visualize water and sewerage network in the web apart from my professional work. I am passionate about driving innovation in the WASH field due to my background in information technologies and WASH experience.", "public_name": "Jin Igarashi", "guid": "c56cbcf4-1e0d-5882-af2d-6453da7eb0b2", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/QN9QGN/"}], "links": [{"title": "TerraDraw workshop material", "url": "https://workshops.terradraw.water-gis.com/", "type": "related"}, {"title": "Workshop example codes and template", "url": "https://github.com/watergis/terradraw-workshop-template", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7S9CLN/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7S9CLN/", "attachments": [{"title": "Introduction", "url": "/media/foss4g-2025/submissions/7S9CLN/resources/workshop_introduction_1YiaNuT.pdf", "type": "related"}]}, {"guid": "c123b95f-9c85-51c7-93f2-b806bb814359", "code": "TG98J9", "id": 4229, "logo": null, "date": "2025-11-18T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF613", "slug": "foss4g-2025-4229-create-and-customise-your-own-3d-web-maps-with-terriajs-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TG98J9/", "title": "Create and Customise Your Own 3D Web Maps with TerriaJS Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "Learn how to build and brand your own 3D geospatial data explorer using TerriaJS - without writing code!", "description": "TerriaJS is an open-source framework for web-based geospatial catalogue explorers.\r\n\r\nIt uses Cesium and Leaflet to visualise 2D and 3D geospatial data, and it supports over 50 different Web APIs, file formats and open data portals.\r\n\r\nIt is almost entirely JavaScript in the browser, meaning it can even be deployed as a static website, making it simple and cheap to host.\r\n\r\nTerriaJS is used across the globe to create next-generation Digital Twin Platforms for open geospatial data discovery, visualisation and sharing - it is used to drive\r\n\r\n- [Digital Earth Australia Map](https://maps.dea.ga.gov.au/)\r\n- [Digital Earth Africa Map](https://maps.digitalearth.africa/)\r\n- [Pacific Map (Digital Earth Pacific)](https://map.pacificdata.org/)\r\n- [VIC Spatial Digital Twin](https://vic.digitaltwin.terria.io/) (Australian State Gov)\r\n- [Tokyo Digital Twin](https://info.tokyo-digitaltwin.metro.tokyo.lg.jp/)\r\n- and many others\r\n\r\nThis hands-on TerriaJS workshop will walk you through configuring maps, adding your own data, and applying custom branding using JSON configuration files. You\u2019ll also learn how to publish your map on GitHub Pages, making it accessible to others with just a shareable link. Perfect for anyone wanting to present spatial data and stories, no programming skills required.\r\n\r\nParticipants should bring a laptop with a text editor (such as VSCode) and NodeJS installed. By the end, you\u2019ll have your personalised TerriaJS map running locally and published online via GitHub Pages.\r\n\r\nFor more information about Terria:\r\n\r\n- https://terria.io/\r\n- https://github.com/TerriaJS/terriajs", "recording_license": "", "do_not_record": false, "persons": [{"code": "FTNNNP", "name": "Nick Forbes-Smith", "avatar": "https://talks.staging.osgeo.org/media/avatars/Nick_02-10-24White_CZZggFb.jpg", "biography": "Open source software engineer building geospatial web open data platforms. FOSS4G and OSGeo advocate.", "public_name": "Nick Forbes-Smith", "guid": "b8220981-c429-5d47-88f2-2b575f80a397", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/FTNNNP/"}, {"code": "8F7QQF", "name": "Michael Holmes", "avatar": "https://talks.staging.osgeo.org/media/avatars/970568FB-C9DC-4FE6-A3BD-A8C6B07674B7-1653-000000C447EDE48C_qXRr8EM.jpg", "biography": "Geospatial Software Engineer with a background in spatial data processing and visualisation. Passionate about open source technology and spatial research.", "public_name": "Michael Holmes", "guid": "c140617e-be9f-5a67-8056-53fbe34b1ebb", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8F7QQF/"}, {"code": "PV9TQT", "name": "Zoran Kokeza", "avatar": "https://talks.staging.osgeo.org/media/avatars/photo_wqO1nKt.png", "biography": "Senior Software Engineer with 5+ years of experience and a background in surveying and geospatial technologies. Passionate about open source and open data.", "public_name": "Zoran Kokeza", "guid": "f959e4be-e201-5490-bd40-c5341703aac8", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PV9TQT/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TG98J9/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TG98J9/", "attachments": []}], "WF610": [{"guid": "2c39bd34-0872-51fb-af37-ab2793355f16", "code": "RDZMQP", "id": 4537, "logo": null, "date": "2025-11-18T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF610", "slug": "foss4g-2025-4537-oxidize-to-decarbonize-building-more-sustainable-geospatial-processes-with-rust-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RDZMQP/", "title": "Oxidize to Decarbonize. Building more sustainable geospatial processes with Rust Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "Geospatial workflows can be surprisingly energy-intensive. This workshop introduces Rust as a fast, efficient alternative to interpreted languages like Python and R. Learn how Rust\u2019s performance and safety make it ideal for sustainable geospatial analysis, and explore the eorst toolkit for spatial data, raster processing, and modelling.", "description": "Even though servers, data centers, and high-performance computers use a considerable amount of energy\u2014and thus contribute significantly to carbon emissions, the environmental impact of computation is often overlooked. This is especially ironic in geospatial science, where much of the work aims to understand and protect natural resources. Remote sensing workflows can be resource intensive, and as data volumes and analysis complexity grows, so too do the computational demands. Efficiency becomes not just a practical issue, but an environmental concern. The tools we use may matter more than we think.\r\n \r\nThis workshop explores how programming language choice can meaningfully reduce the environmental cost of geospatial analysis. While interpreted languages like Python and R are the most popular choices due to their accessibility and rich ecosystems, they often fall short at scale. Their reliance on runtime interpretation and garbage collection often translates into longer compute times and higher energy usage, and thus generate more emissions. \r\n \r\nCompiled languages like Rust and C++ can offer an alternative path. These languages are significantly more efficient, often completing tasks faster and with less energy consumption. Rust in particular is emerging as a powerful option for scientific computing. It provides memory safety without a garbage collector, using a system of ownership and borrowing to manage memory at compile time. The result is software that is fast and reliable, with minimal runtime overhead. Unlike C or C++, Rust helps prevent common errors such as buffer overflows, null pointer dereferencing, and data races on parallel processes, without sacrifice in performance.\r\n \r\nRust\u2019s growing adoption by major tech players, like Microsoft, AWS, Google, and even the Linux kernel project reflects its maturity and reliability. This support, highlight that Rust is more than an academic or niche choice, but a practical, long-term solution.\r\n \r\nThis workshop will introduce core Rust concepts relevant to geospatial analysis and explore the growing Rust geospatial ecosystem\u2014including libraries for spatial data handling, raster processing, modelling, and machine learning.\r\n \r\nIn this hands-on session, we will explore Rust fundamentals and use eorst to compute cloud frequency over a two-year period from satellite Sentinel-2 imagery.\r\n \r\nThe eorst crate is an open-source Rust library designed to simplify and accelerate geospatial raster processing. Inspired by tools like Rasterio, RIOS, Dask, and Open Data Cube, eorst wraps complex geospatial operations in high-level abstractions, while preserving the performance benefits of systems programming. It minimizes the overhead of abstraction, letting developers focus on the science rather than the plumbing.\r\n \r\nOriginally developed to support the Spatial BioCondition framework for modeling ecosystem condition, eorst now underpins large-scale operational workflows for Queensland\u2019s Department of the Environment, Tourism, Science and Innovation. The library's main features are:\r\n \r\nEfficient geospatial raster I/O\r\nOn-the-fly projection and alignment.\r\nTiling and parallel out-of-core processing.\r\nRaster point sampling.\r\nZonal statistics.\r\nMosaicking.\r\nBand math and time series operations.\r\nSTAC integration.\r\nXGBoost and LightGBM inference.\r\nOptional OpenCV image processing.\r\n \r\n \r\nRust also interoperates well with Python and R, making it a pragmatic choice for hybrid workflows and for teams gradually transitioning toward more efficient computation. As part of the session, we will also demonstrate how to create a simple Python wrapper using the pyo3 library, allowing Rust functionality to be accessed from Python.\r\n \r\nIf you are curious about producing more sustainable geospatial analysis, this session will be a practical starting point.", "recording_license": "", "do_not_record": false, "persons": [{"code": "3QRPYC", "name": "Leonardo Hardtke", "avatar": "https://talks.staging.osgeo.org/media/avatars/WIN_20250822_14_07_18_Pro_wDbP0bA.jpg", "biography": "I\u2019m a Dr, Leonardo Hardtke, a senior scientific officer at the Department of the Environment, Tourism, Science and Innovation. I specialize in applying advanced remote sensing and spatial data analysis to support ecosystem condition monitoring and environmental decision-making. I\u2019ve been working with Rust for geospatial workflows for several years, developing tools like the eorst crate. I\u2019m passionate about bridging cutting-edge programming with practical environmental science to create scalable, reproducible solutions.", "public_name": "Leonardo Hardtke", "guid": "e3961913-77b3-532b-96fd-de194c5d3f06", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/3QRPYC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RDZMQP/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RDZMQP/", "attachments": []}, {"guid": "bac5de11-3fca-5019-be74-ae608a6f3d8b", "code": "S9ENL7", "id": 4325, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/S9ENL7/DEP_8tmhIvr.png", "date": "2025-11-18T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF610", "slug": "foss4g-2025-4325-participatory-mapping-field-survey-and-computer-lab-qfield-integration-into-machine-learning-landcover-classification-within-digital-earth-pacific-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/S9ENL7/", "title": "Participatory mapping field survey and computer lab: QField integration into machine learning landcover classification within Digital Earth Pacific. Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "The workshop will include a) field survey component where participants will be able to walk around Auckland to collect data points in QField for QGIS and b) a computer lab component where participants will use Digital Earth Pacific Python Notebooks to generate a land cover map.", "description": "FOSS4G abstracts:\r\nWorkshop abstract:\r\nParticipatory mapping field survey and computer lab: QField integration into machine learning landcover classification within Digital Earth Pacific.\r\n\r\n3-hour workshop\r\nThe objective of the workshop is to share a workflow to allow for field data, calibration, and validation of a land cover classification model output. \r\n\r\nLand cover classification:\r\nLand cover classification forms serves numerous functions including land cover accounting, monitoring land use changes, biodiversity and conservation monitoring, measurements of urban and agricultural expansion as well as forest inventories and national greenhouse gas inventories.  \r\n\r\nThis workshop will include two main components:\r\n1.\ta field survey component where participants will be able to walk around Auckland to collect data points in QField for QGIS. \r\n2.\ta computer lab component where participants will use Digital Earth Pacific Python Notebooks to generate a land cover map based on the data collected in their respective surveys.\r\nThese participatory mapping workflows enable users from a range of disciplinary backgrounds to contribute to land cover mapping outputs. These outputs may be used for a range of applications including land cover classification. \r\nThe learning outcomes of this workshop will include the following: \r\n1.\tParticipants will learn how to collect field data using QField \r\n2.\tParticipants will also be able to ingest this data into Digital Earth Pacific and through a Jupyter Notebook Environment\r\n3.\tParticipants will be able to build on introductory levels of Python programming knowledge. \r\nWithin QField and Python, participants will be making use of the following tools and libraries:\r\n\u2003\r\n\r\nQField workflows to be covered:\r\nPoint data collection\tCollection of points for different land cover classes\r\nTransects \tTransects \r\nPolygons\tCollecting polygon areas of interest\r\nAccuracy assessments\tEnsuring data collected is within set thresholds of horizontal accuracy\r\n\r\nPython libraries to be covered:\r\nPandas / Geopandas\tVector data analysis and plotting\r\nodc-geo\tWeb map plotting\r\nRasterio\tRaster data analysis and plotting\r\nodc.stac\tLoading satellite data through Digital Earth Pacific Spatiotemporal Asset Catalogues.", "recording_license": "", "do_not_record": false, "persons": [{"code": "GDHPXP", "name": "Nicholas Metherall - SPC", "avatar": "https://talks.staging.osgeo.org/media/avatars/1601042519072_QxlyXQi.jpeg", "biography": "Nick is working with the Pacific Community - SPC. Nick provides science advice and product development for Digital Earth Pacific and other earth observation and geospatial projects and applications. \r\n\r\nNick is currently completing his PhD through a joint cotutelle program between the University of the South Pacific and the Australian National University. His research focuses on ridge-to-reef environmental monitoring as well as GIS environmental modelling and remote-sensing land-sea frameworks through riparian corridors. He completed his MSc in the water science specialisation through courses in both the Fenner School as well as the Research School of Earth Sciences at the ANU. Nick also completed his MSc thesis research on quantifying the impacts of in-river gravel extraction on sediment transport in Fiji.\r\n\r\nNick's research areas and skills include: GIS and remote sensing, hydrological and environmental modelling, python, FullCAM carbon accounting, field sampling and measurements of surfacewater and groundwater chemical, geophysical and hydrological parameters and some ecological fieldwork sampling experience forestry biomass carbon assessments as well as sampling of benthic invertebrates and ichthyofauna.\r\n\r\nHe has worked in a range of Government Departments including the Federal Departments of Agriculture, Water and Environment, the Climate Change Division of the Department of Environment and Energy and the Australian Trade Commission. During this time, Nick also worked in environmental monitoring of the impacts of the Ranger Uranium Mine on the Magela floodplains and creeks adjacent close to Jabiru and Kakadu in the Northern Territory. Nick led a team of volunteers to secure second place in the MAXAR Spatial Challenge regional category through a project that combined Digital Globe sub-metre high resolution imagery with FullCAM modelling to assess regeneration of biomass carbon in the context of the 2019-20 bushfire recovery through a case study in Cann River, Gippsland. Nick was also the team lead for the Yadrava na Vanua team that gained first place in the Space for Planet Earth Competition to use satellite data to estimate carbon sequestration. The team was led by students and staff from the University of the South Pacific, University of Fiji and Fiji National University.", "public_name": "Nicholas Metherall - SPC", "guid": "950e8736-c01f-5031-be6a-78427dd1b615", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GDHPXP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/S9ENL7/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/S9ENL7/", "attachments": []}], "WF611 Jody Garnett's Room!": [{"guid": "d16cadd1-b86c-59a4-88bd-8e3b5a299523", "code": "ZRFGZW", "id": 4475, "logo": null, "date": "2025-11-18T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF611 Jody Garnett's Room!", "slug": "foss4g-2025-4475-geoserver-3-developers-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZRFGZW/", "title": "GeoServer 3 Developers Workshop", "subtitle": "", "track": "Workshop - Intermediate Level", "type": "Workshop", "language": "en", "abstract": "GeoServer is an amazing project, and an amazing project to work on!", "description": "Please attend this workshop to:\r\n\r\n* Get Started with the GeoServer 3 codebase\r\n* Orientation with a Tour of the GeoServer architecture\r\n* Introduction the service dispatch framework, including creating your own service\r\n* built chain and test facilities\r\n* Create a custom function for use with map styling\r\n* Create a custom process for use with style transformations and web processing service\r\n* Anatomy of a successful pull request\r\n\r\nAttendees will build their own GeoServer, learn a bit about how our community operates, and enjoy extending the base application. \r\n\r\nIf you are a developer looking to support GeoServer,  or join us for a sprint or bug-stomp, this workshop is great introduction. \r\n\r\nThis course features hands-on development.  We encourage and expect you to bring your favourite Java development environment.\r\n\r\nFor a good time with open source join GeoServer today!", "recording_license": "", "do_not_record": false, "persons": [{"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZRFGZW/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZRFGZW/", "attachments": []}, {"guid": "a29eab7a-049b-5061-8591-29bde31251f4", "code": "9A37UM", "id": 4446, "logo": null, "date": "2025-11-18T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF611 Jody Garnett's Room!", "slug": "foss4g-2025-4446-getting-started-with-geonetwork-5-a-hands-on-developer-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9A37UM/", "title": "Getting Started with GeoNetwork 5: A Hands-On Developer Workshop", "subtitle": "", "track": "Workshop - Intermediate Level", "type": "Workshop", "language": "en", "abstract": "A workshop to introduce the new Spring Boot architecture of GeoNetwork 5", "description": "GeoNetwork is the most popular and loved open-source catalog, trusted by organizations to deliver on their geospatial data management objectives. \r\nGeoNetwork 5 is the future version based on Spring Boot, which will introduce some architectural innovations for developers.\r\n\r\nIn this practical session we will show you what is boiling into the pot and you\u2019ll learn how to:\r\n\r\n- Set up GeoNetwork 5 locally using Docker and Docker Compose alongside GeoNetwork 4.x for a hybrid test environment\r\n- Explore the new architecture, based on Spring Boot \r\n- Test core features such as OGC API Records and the new Formatter architecture, for output with real metadata examples\r\n- Navigate the codebase, understand how to contribute or where to start to build you custom application on GeoNetwork foundations\r\n\r\nJoin us to jump-start your GeoNetwork 5 developments and help shape the future of this open-source metadata platform!", "recording_license": "", "do_not_record": false, "persons": [{"code": "RU9BR9", "name": "Antonio Cerciello", "avatar": "https://talks.staging.osgeo.org/media/avatars/78a6d15d6225d622e591ed1069dff66e_pRd1KE6.jpg", "biography": "I\u2019m a GIS developer and data analyst. I\u2019m passionate about open source, data visualization and knowledge sharing. I love when technologies break down barriers.", "public_name": "Antonio Cerciello", "guid": "837ff7bb-8c6f-5338-9cc1-f2209b79326d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/RU9BR9/"}, {"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9A37UM/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9A37UM/", "attachments": []}], "WF502": [{"guid": "b966defa-94b4-53ed-b8c5-c60603dcbd8f", "code": "7PKNY3", "id": 4238, "logo": null, "date": "2025-11-18T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF502", "slug": "foss4g-2025-4238-foss4g-with-net-a-hands-on-introduction-for-spatial-developers-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7PKNY3/", "title": "FOSS4G with .NET: A Hands-On Introduction for Spatial Developers Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "The .net-platform is gaining ground in the open-source community but is it for us \u201cspatial-junkies\u201d?\r\nIn this workshop we touch on the subject, going through possibilities and limitations of using .net in foss4g.\r\nDatabase connections\r\nUsing existing spatial servers\r\nBuilding your own spatial server\r\nFrontend interactive maps", "description": "Is .NET Ready for the Spatial World?\r\nIn 2014, Microsoft announced that the .NET Core platform would become open source. Since then, it has steadily gained traction within the open-source community. But how well does it fit within the FOSS4G (Free and Open Source Software for Geospatial) ecosystem?\r\nThis workshop aims to explore exactly that\u2014bridging the powerful, modern capabilities of the .NET platform with the rich, well-established tools in the OSGeo stack.\r\nWhy Consider .NET for Geospatial Projects?\r\n\r\nThere are several reasons why you might choose the .NET platform for geospatial applications:\r\n* Legacy integration: You may be working in an enterprise environment where .NET systems already exist, and you're looking to add spatial functionality.\r\n* Greenfield projects: You may be considering .NET for its modern tooling, performance, or cross-platform capabilities using .NET 8+.\r\n* C# language benefits: C# is expressive, type-safe, and comes with excellent async/await support\u2014useful for scalable geospatial applications.\r\n* Strong IDEs: With Visual Studio and Visual Studio Code, .NET developers benefit from some of the best development environments available.\r\n\r\nThis workshop is for anyone curious about using .NET as a viable toolset in geospatial development\u2014whether for new applications or enhancing existing systems.\r\nWorkshop Structure\r\nThe workshop will consist of three short, focused programming examples. Each one introduces a different layer of the technology stack\u2014from database interaction to frontend mapping.\r\n1)Database Access with PostGIS Using Npgsql\r\nWe\u2019ll start at the data layer, using the Npgsql library to connect a C# application to a PostgreSQL/PostGIS database.\r\nTopics include:\r\nConnecting to PostGIS with connection strings\r\nExecuting spatial queries\r\nReading and writing geometry types using NetTopologySuite.IO.PostGIS\r\nMapping results to C# objects\r\n\r\n2)Handling Spatial Data in the Backend with NetTopologySuite\r\nNext, we move to the backend. The NetTopologySuite library provides robust spatial capabilities similar to JTS (Java Topology Suite).\r\nTopics include:\r\nRepresenting geometries such as points, polygons, and linestrings\r\nPerforming spatial operations (e.g., intersection, buffering, distance)\r\nBuilding spatial APIs using ASP.NET Core\r\n\r\n3)Serving Frontend Maps\r\nFinally, we bring everything to life in the browser. We will demonstrate how to use Blazor (a .NET-based frontend framework) alongside OpenLayers to create an interactive web map.\r\nTopics include:\r\nServing GeoJSON data via Web API\r\nDisplaying spatial data in OpenLayers/Leaflet in a .net-context.\r\nAdding interactivity: popups, hover info, and basic layer control\r\n\r\nThis combination lets you stay within the C# ecosystem across the full stack while integrating with powerful open-source geospatial libraries.\r\n\r\nWho Should Attend?\r\nThis workshop is ideal for:\r\n.NET developers new to the FOSS4G ecosystem who want to understand how to integrate spatial capabilities\r\n\r\nProject leaders or software architects evaluating .NET for geospatial projects\r\n\r\nGeospatial professionals who find themselves moving into or collaborating with teams using the .NET platform\r\n\r\nWhether you're an experienced backend developer or a GIS expert exploring new toolchains, this session will offer practical, real-world insights.\r\n\r\nPrerequisites\r\nAttendees should have:\r\n* Basic familiarity with C# and the .NET platform\r\n* Experience using an IDE such as Visual Studio or Visual Studio Code\r\n* A general understanding of geospatial concepts (e.g., coordinates, layers, spatial queries)\r\n\r\nKeywords\r\n.NET, PostGIS, Npgsql, NetTopologySuite, OpenLayers, Leaflet,C#, FOSS4G, spatial API", "recording_license": "", "do_not_record": false, "persons": [{"code": "SRBCF3", "name": "Joakim Svensberg", "avatar": null, "biography": null, "public_name": "Joakim Svensberg", "guid": "4625b3df-4172-5a7f-855a-179f40d3defb", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/SRBCF3/"}, {"code": "T8EYAA", "name": "Anders Dahlgren", "avatar": "https://talks.staging.osgeo.org/media/avatars/b4fdf8ab-5930-41af-a67d-78237c163b04_UGfjvMf.jpg", "biography": "I have worked in the GIS industry for over 30 years. In recent years, I have become deeply focused on the FOSS4G technology stack, implemented in a .NET context. I hope to be able to help new users in the same way I was helped at the start of my open-source career.", "public_name": "Anders Dahlgren", "guid": "36d932e8-f4bb-5291-8026-57d4bf99b54a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/T8EYAA/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7PKNY3/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7PKNY3/", "attachments": []}, {"guid": "34569649-f988-56b6-beeb-5b2cf8a94517", "code": "M3TF7B", "id": 4287, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/M3TF7B/Flow_Horizontal_Con%EF%AC%81guration_oimOMdV.svg", "date": "2025-11-18T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF502", "slug": "foss4g-2025-4287-collaborative-geospatial-workflows-in-action-a-hands-on-alpha-with-re-earth-flow-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/M3TF7B/", "title": "Collaborative Geospatial Workflows in Action: A Hands-On Alpha with Re:Earth Flow Workshop", "subtitle": "", "track": "Workshop - Advanced Level", "type": "Workshop", "language": "en", "abstract": "Try Re:Earth Flow\u2019s visual, browser-native interface to clean, join, and export spatial data\u2014no coding required. In this hands-on alpha workshop, you\u2019ll collaborate live and help shape the future of the platform.", "description": "Experience **Re:Earth Flow** hands-on in this workshop where you\u2019ll build and run geospatial data workflows entirely in your browser. Re:Earth Flow is a new open-source, visual ETL platform \u2014 currently in alpha \u2014 designed to make transforming spatial data more accessible, collaborative, and code-free.\r\n\r\nWorking with real datasets, you\u2019ll walk through how to clean, filter, join, and export spatial data using our flow-based UI. You\u2019ll also get a preview of how real-time collaboration works in the browser \u2014 with no installs, no command line, and no fuss. This is your chance to test the tool early, give feedback, and help shape its roadmap.\r\n\r\n### **What to Expect:**\r\n\r\n- **A Guided Walkthrough**: Learn how to build ETL workflows visually using Re:Earth Flow\r\n- **Real Datasets**: Import shapefiles or CSVs, perform spatial joins, and export to GeoJSON or 3D Tiles\r\n- **Live Collaboration**: Work with others in real time via our WebSocket-powered backend\r\n- **Open Feedback Loop**: Share what worked, what didn\u2019t, and what you want to see next\r\n\r\n### **Who Should Attend:**\r\n\r\nGIS users, planners, analysts, and developers looking for a modern, collaborative way to transform spatial data \u2014 right from the browser. No coding experience required.\r\n\r\nTextbook url: https://www.notion.so/Workshop-textbook-2a216e0fb16580b7a5eed7631cf3267a?pvs=73", "recording_license": "", "do_not_record": false, "persons": [{"code": "PD7ETL", "name": "Kyle Waite", "avatar": null, "biography": null, "public_name": "Kyle Waite", "guid": "c903800d-c74a-5d67-81e9-f92f779f215f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PD7ETL/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/M3TF7B/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/M3TF7B/", "attachments": []}], "WF503": [{"guid": "21da1da1-7a83-5fd2-9edd-10d82042f5e0", "code": "MHHJE7", "id": 4338, "logo": null, "date": "2025-11-18T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF503", "slug": "foss4g-2025-4338-exploring-cloud-native-geospatial-formats-hands-on-with-vector-data-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MHHJE7/", "title": "Exploring Cloud-Native Geospatial Formats: Hands-on with Vector Data Workshop", "subtitle": "", "track": "Workshop - Advanced Level", "type": "Workshop", "language": "en", "abstract": "Dig into geospatial vector formats\u2014including GeoJSON, WKT/WKB, and cloud-native GeoParquet\u2014using Python to see in detail how vector features are stored in each format and to understand what cloud-native means for vector data.", "description": "Cloud-native geospatial is all the rage these days, and for good reason. As file sizes grow, layer counts increase, and analytical methods become more complex, the traditional download-to-the-desktop approach is quickly becoming untenable for many applications. It's no surprise then that users are turning to cloud-based tools to scale out their analyses, or that traditional tooling is adopting new ways of finding and accessing data from cloud-based sources. But as we transition away from opening whole files to now grabbing ranges of bytes off remote servers it seems all the more important to understand exactly how cloud-native data formats actually store data and what tools are doing to access it.\r\n\r\nThis workshop aims to dig into how cloud-native geospatial data formats are enabling new operational paradigms, with a particular focus on vector data formats. Unlike its raster workshop counterpart, this workshop will be a bit more experimental. Vector data formats tend towards greater complexity than raster formats, so exactly how deep we get into which topics will be dependent on the audience\u2019s interests and the time available. Broad themes to explore might include:\r\n\r\n* GeoJSON: what is it, what does it represent, and how it is not cloud-native\r\n* Well-Known Text/Binary (WKT/WKB): how these vector formats work and why they are important in GeoParquet\r\n* GeoParquet: how does parquet store data, how geo maps into that paradigm, and what it takes to read some subset of data from a parquet file\r\n* Other cloud-native formats like FlatGeobuf, PMTiles, etc.\r\n* Practical considerations when using these formats\r\n\r\nThe content of this workshop aims to not only be theoretical: a strong goal is to be as hands-on with these formats as possible by working with them in Python without any specific geospatial format libraries. We\u2019ll look at interacting with object storage directly, to pull down files and fragments and inspect them, to build up working understanding of what common higher-level tooling does under the hood and abstracts away from users.\r\n\r\n#### Prerequisites\r\n\r\nThis workshop expects some familiarity with geospatial programming in Python and a basic understanding of the vector data model and its utility. Most of the notebook code is already provided, so any gaps in understanding don't necessarily prohibit completing the exercises. That said, some knowledge of the geospatial vector formats and tooling is quite helpful.", "recording_license": "", "do_not_record": false, "persons": [{"code": "8TAMEN", "name": "Jarrett Keifer", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_7316_crop_a35B92h.jpeg", "biography": "Jarrett Keifer is a Senior Geospatial Software Engineer at Element 84, a commercial geospatial consultancy that uses open-source to build effective customer solutions. His interests include education and outreach, geospatial data formats, and high-performance systems/network programming. He enjoys designing systems to operate at scale, particularly to support remote sensing data processing and earth science applications, and has over ten years of experience contributing to open source projects.", "public_name": "Jarrett Keifer", "guid": "a96982f6-47e9-53fd-9d40-f07ed7f44fa6", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8TAMEN/"}], "links": [{"title": "Workshop repository", "url": "https://github.com/jkeifer/cng-vector-formats", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MHHJE7/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MHHJE7/", "attachments": []}, {"guid": "38cce47b-5d17-5af2-a633-94dea8dc4dac", "code": "GLTDBP", "id": 4260, "logo": null, "date": "2025-11-18T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF503", "slug": "foss4g-2025-4260-the-deep-magic-of-qgis-cartography-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GLTDBP/", "title": "The Deep Magic of QGIS Cartography Workshop", "subtitle": "", "track": "Workshop - Advanced Level", "type": "Workshop", "language": "en", "abstract": "This QGIS workshop will raise your cartographic skills from \"meh\" to \"magical\". Co-presented by Mathieu Pellerin and Nyall Dawson, these two developers/cartographers are directly responsible for many of the cartographic features in QGIS, and together share over 3 decades experience in designing beautiful maps.", "description": "QGIS is packed with powerful tools just waiting to be discovered\u2014tools that can take your cartography to the next level. Why settle for a plain map when you can wow your audience?\r\n\r\nIn this workshop we'll be exploring the cartographic features in QGIS that you didn't even know existed. We'll stop along the way to discuss our recommendations for pretty mapping, and what we can learn from our favourite cartographers.\r\n\r\nA moderate level of QGIS experience is recommended. You need to be familiar with handling layers, basic styling and comfortable finding your way around QGIS. (We've got a lot to cover, so don't have time to cover the fundamentals!)", "recording_license": "", "do_not_record": false, "persons": [{"code": "NMUUEN", "name": "Nyall Dawson", "avatar": "https://talks.staging.osgeo.org/media/avatars/nyall3_pQ91aF5.jpg", "biography": null, "public_name": "Nyall Dawson", "guid": "c0413c70-f248-5455-bb79-dfd458b63289", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NMUUEN/"}, {"code": "9EGXJ9", "name": "Mathieu Pellerin", "avatar": null, "biography": null, "public_name": "Mathieu Pellerin", "guid": "22308939-4a72-57e6-b1e9-ce7a1f6cfdd4", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/9EGXJ9/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GLTDBP/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GLTDBP/", "attachments": []}], "WF510": [{"guid": "d2fb0fce-1c4d-5999-9eca-bc17e9b276b4", "code": "KZDMU9", "id": 4506, "logo": null, "date": "2025-11-18T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF510", "slug": "foss4g-2025-4506-semantic-interoperability-made-easy-with-ogc-building-blocks-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KZDMU9/", "title": "Semantic Interoperability made easy with OGC Building Blocks Workshop", "subtitle": "", "track": "Workshop - Intermediate Level", "type": "Workshop", "language": "en", "abstract": "Learn how OGC Building Blocks allow you to use open standards to improve user experience", "description": "Hands on opportunity to build data schemas that self-document and deliver them using FOSS4G software.  Will include schema design, server and client options, and introduce you to the open source OGC Building Blocks for defining, testing, composing and publishing data and metadata that means something to end users.  Focuses on JSON, JSON-LD and Linked Data, GeoDCAT and STAC, and OGC API Processes and provenance tracing to make your data and processing chains understandable and trustworthy.\r\n\r\nParticipants will ideally have a github account, and pre-install docker on your own laptops - and by preference preload docker images by following the instructions at:\r\n\r\nhttps://ogcincubator.github.io/bblocks-docs/build/local\r\n\r\nWork shop will be a mix of \"theory\" - an exploration of the rationale and approach to be discussed - practical hands-on and discussion about the needs and opportunities in the FOSS4G community.", "recording_license": "", "do_not_record": false, "persons": [{"code": "AMJYRP", "name": "Robert Atkinson", "avatar": null, "biography": "Rob Atkinson is a Senior Research Engineer in the OGC Innovation Program, and a founding member of OsGeo. Rob has worked with many open source projects, notably helping Geoserver become the reference implementation for OGC WFS.", "public_name": "Robert Atkinson", "guid": "4a65d5f5-e1e8-5bfe-95eb-f46078ef6fc1", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/AMJYRP/"}], "links": [{"title": "Docker pre-install", "url": "https://ogcincubator.github.io/bblocks-docs/build/local", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KZDMU9/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KZDMU9/", "attachments": []}], "WF511": [{"guid": "ecd84c64-b3d8-566f-a6b5-744e89fac7f1", "code": "MUKQWL", "id": 4332, "logo": null, "date": "2025-11-18T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF511", "slug": "foss4g-2025-4332-introduction-to-qfield-plugin-authoring-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MUKQWL/", "title": "Introduction to QField plugin authoring Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "For a little over a year now, QGIS' best field companion QField has gained a plugin framework that allows users to expand the capabilities of QField through QML and Javascript. This workshop introduces the framework and goes through practical examples aimed at empowering the participants into writing their own plugins.", "description": "The workshop will introduce participants to QField\u2019s plugin framework and its two main plugin types: app-wide plugins and project-scoped plugins. We will look into the decision-making around settling on Javascript/QML as the scripting language and look at its strengths.\r\n\r\nWe will then go through several practical plugin building examples that will cover:\r\nIntegration with online REST API endpoints;\r\nGeoreferenced visual map canvas overlays in QML language\r\nFeature creation and iteration via plugin\r\nCustomization of QField user interface\r\n\r\nThe workshop will also provide participants with resources to further increase their knowledge beyond the workshop session itself.", "recording_license": "", "do_not_record": false, "persons": [{"code": "PESSWX", "name": "Berit Mohr", "avatar": "https://talks.staging.osgeo.org/media/avatars/Berit_Mohr_Kreis_8eTbusr.png", "biography": "Berit Mohr is a passionate GIS enthusiast and advocate for open-source software. In October 2024, she joined OPENGIS.CH as a GIS specialist, where she advises, trains, and manages small and big projects.\r\nHaving lived in New Zealand for 10 years, she has had the chance to gain extensive experience across academia, the private sector, and development cooperation. Berit brings a global perspective to her work enhancing her talent for teaching and translating across languages.\r\nIn her free time, Berit enjoys exploring the outdoors with her bike, tending her garden, and hiking in the mountains, spending every possible moment in nature.", "public_name": "Berit Mohr", "guid": "47c7f1e2-7abf-5c66-974a-78217c153c5d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PESSWX/"}, {"code": "UVNRZV", "name": "Mathieu Pellerin", "avatar": null, "biography": "Mathieu Pellerin is the QField lead developer and project owner over at OPENGIS.ch as well as a QGIS core developer. While starting mainly focused on user interface improvements, Mathieu has over the year touched on many parts of QGIS from symbology to data providers and the processing toolbox.", "public_name": "Mathieu Pellerin", "guid": "40a7abe0-bdfb-52f9-9aa7-d2c35829e54a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/UVNRZV/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MUKQWL/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MUKQWL/", "attachments": []}, {"guid": "52be0422-b8af-5129-a0d3-383adbeac36d", "code": "TAJSZZ", "id": 4510, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/TAJSZZ/architecture_wGxsvBb.PNG", "date": "2025-11-18T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF511", "slug": "foss4g-2025-4510-running-and-auto-scaling-geoserver-and-postgresql-postgis-without-managing-servers-in-the-aws-cloud-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TAJSZZ/", "title": "Running and Auto Scaling Geoserver and PostgreSQL/PostGIS without managing servers in the AWS cloud Workshop", "subtitle": "", "track": "Workshop - Intermediate Level", "type": "Workshop", "language": "en", "abstract": "This lab will introduce running GeoServer on AWS infrastructure using containerised deployment without needing to manage server infrastructure. GeoServer is an OGC compliant implementation of a number of open standards including Web Feature Service (WFS), Web Map Service (WMS), and Web Coverage Service (WCS).", "description": "The workshop will walk you through the steps required to launch the Geoserver standard docker distribution and host this on AWS Fargate. AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers.\r\nGeoServer can leverage a variety of data sources including PostgreSQL/PostGIS. PostGIS is a spatial database extender for the PostgreSQL object-relational database. With AWS support for PostgreSQL/PostGIS available in Aurora Serverless, we will explore connecting GeoServer to a PostgreSQL source to illustrate a multi-tier architecture. We will also explore scaling out the GeoServer web tier leveraging shared file system using Amazon Elastic File Service (EFS).\r\nThe intended audience will be Geoserver admins/users that are interested in running Geoserver on AWS in a highly available fashion with minimal server management needs.\r\nNOTE: You will need a Internet connected laptop with browser to access the AWS console environment.", "recording_license": "", "do_not_record": false, "persons": [{"code": "TYLGJ9", "name": "John Hildebrandt", "avatar": "https://talks.staging.osgeo.org/media/avatars/john_hilde2_IVThOPK.png", "biography": "John is a Principal Solutions Architect with the National Security team at Amazon Web Services (AWS). John assists Public Sector customers and partners architect Cloud solutions using the AWS platform. John was previously the Head of Security Assurance for Australia and New Zealand at AWS in Canberra Australia. He is passionate about enabling cloud adoption for customers. John has been working with Government customers at AWS for 13 years, as the first employee for the ANZ Public Sector team.\r\nJohn has over 45 years\u2019 experience in Information Technology and Research areas across a broad range of areas. John has extensive Public Sector, Defence and Intelligence experience including postings into Australian and US Intelligence agencies in integrated Military and Civilian teams.\r\nJohn worked in the Defence Science and Technology Organisation (DSTO) as a Senior Research Scientist leading teams undertaking Image Analysis and Distributed Systems research.\r\nBefore joining AWS he had senior roles at Microsoft and IBM providing Architectural advice to Federal Government customers.", "public_name": "John Hildebrandt", "guid": "22546cc3-8f99-5d1a-9d89-5dd75132d56b", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/TYLGJ9/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TAJSZZ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TAJSZZ/", "attachments": []}], "WF702": [{"guid": "b781d102-41e3-5470-8452-bb72cbb4a010", "code": "QTAWL7", "id": 4311, "logo": null, "date": "2025-11-18T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF702", "slug": "foss4g-2025-4311-modelling-climate-risks-using-nasa-earthdata-cloud-python-apis-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QTAWL7/", "title": "Modelling Climate Risks Using NASA Earthdata Cloud & Python APIs Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "This workshop is built around guided computational analyses of two particular climate risk scenarios\u2014wildfires & floods. The goal is to support independent geospatial explorations using publicly available data products from [NASA Earthdata Cloud](https://www.earthdata.nasa.gov/) and FOSS with Pythonic APIs on a cloud computing environment.", "description": "Predicting and managing environmental risks of various climate-related disasters\u2014e.g., wildfires, drought, and floods\u2014is challenging and critical worldwide. Part of the difficulty is that historical norms (e.g., from last century) for the frequency of such extreme climate events are no longer sufficient to infer the frequency of future disasters. These natural risks are intrinsically linked to the dynamic distributions\u2014varying both temporally and spatially\u2014of surface water, precipitation, vegetation, and land use. These distributions can be modelled for forecasting and analysis (enabling quantification of these environmental risks) using hundreds of petabytes of relevant Earth science data available through [NASA's Earthdata Cloud](https://www.earthdata.nasa.gov/). With the dramatic growth in the availability of such data, today's earth scientists benefit from a strong understanding of open science practices and of cloud-based data intensive computing that enable reproducibly analyzing and assessing changing risk profiles.\r\n\r\nThis workshop provides hands-on examples of using cloud-based infrastructure and data products from [NASA Earthdata Cloud](https://www.earthdata.nasa.gov/) for the analysis of environmental risk scenarios. This involves constructing quantitative estimates of changes in hydrological water mass balance over various defined geographical regions of interest and time windows. The goal is to build enough familiarity with generic cloud-based Jupyer/Python workflows and with remote-sensing data to enable adapting and remixing examples for other region-specific contexts. The workshop's design reinforces best practices of data-proximate computing and of reproducibility (as supported by NASA's [Open Science](https://science.nasa.gov/open-science-overview) and [Transform to Open Science (TOPS)](https://nasa.github.io/Transform-to-Open-Science/) initiatives).\r\n\r\nParticipants are expected be familiar with raster data and common geospatial data conventions. Ideally, they are comfortable using a shell or a command-line interface to interact with data & programs. They should also be comfortable using common scientific Python libraries (e.g., NumPy, Pandas) and related Python data structures (e.g., tuples, dicts, lists, NumPy arrays, Pandas dataframes). There is a brief overview of Xarray, Hvplot, & Geoviews; prior exposure to those Python libraries is useful but not mandatory. Prior experience using Jupyter notebooks and writing short snippets of Python code is helpful.\r\n\r\n**Approximate schedule**:\r\n\r\n+ *minute 0-19*: Introduction & Setup (logging in, configuring NASA Earthdata credentials)\r\n+ *minute 20-29*: Reminders about GIS prerequisites: coordinate systems, data formats (if required)\r\n+ *minute 30-49*: Overview of PyData tools for geographic data: [Rasterio](https://rasterio.readthedocs.io/en/stable/index.html) & [Xarray](https://docs.xarray.dev/en/stable/index.html) (if required)\r\n+ *minute 50-59*: Break\r\n+ *minute 60-79*: Overview of PyData visualisation tools: [Hvplot](https://hvplot.holoviz.org/) & [Geoviews](https://geoviews.org/) (if required)\r\n+ *minute 80-99*: Using NASA Earthdata Products (DIST, DWSx)\r\n+ *minute 100-109*: Using PyStac for retrieving data\r\n+ *minute 110-119*: Break\r\n+ *minute 120-144*: Case study: wildfires\r\n+ *minute 145-169*: Case study: flooding\r\n+ *minute 170-179*: Wrap-up\r\n\r\nThe workshop starts by getting participants logged into the cloud infrastructure and verifying their NASA Earthdata Cloud credentials. This is followed by a quick, non-comprehensive overview of GIS prerequisites and Python approaches to manipulating and visualizing geospatial data. The schedule above will be adapted to suit the audience needs (i.e., by increasing or decreading time allocated in each section as appropriate).\r\n\r\nThe hands-on case studies rely on the [OPERA (Observational Products for End-Users from Remote Sensing Analysis)](https://podaac.jpl.nasa.gov/OPERA) suite of data products; in particular, they use two particular categories of data products: [DSWx (Dynamic Surface Water Extent)](https://d2pn8kiwq2w21t.cloudfront.net/documents/ProductSpec_DSWX_URS309746.pdf) and [DIST (Land Surface Disturbance)](https://lpdaac.usgs.gov/documents/1766/OPERA_DIST_HLS_Product_Specification_V1.pdf). The workflows presented extend notebook examples drawn from the extensive [OPERA Applications repository](https://github.com/OPERA-Cal-Val/OPERA_Applications).\r\n\r\nThis workshop\u2014co-developed by [MetaDocencia](https://www.metadocencia.org) & [2i2c](https://2i2c.org)\u2014is part of NASA's [Open Science](https://science.nasa.gov/open-science-overview) and [Transform to Open Science (TOPS)](https://nasa.github.io/Transform-to-Open-Science/) initiatives. An important goal is to reinforce principles of reproducibility and open science-based workflows (as exemplified in TOPS OpenCore, the introductory suite of open science curricula including Open Science 101).", "recording_license": "", "do_not_record": false, "persons": [{"code": "XMX8PY", "name": "Dhavide Aruliah", "avatar": "https://talks.staging.osgeo.org/media/avatars/42e83c99272b9868f26ce909dee97bfa_Orz7gS6.jpg", "biography": "Dhavide Aruliah has been teaching & mentoring both in academia and in industry for three decades. His career has grown around bringing learners from where they are to where they need to be mathematically & computationally. He was a university professor (Applied Mathematics & Computer Science) at Ontario Tech University before moving to industry where he oversaw training programs supporting the PyData stack at Anaconda Inc. and later at Quansight LLC. He has taught over 40 undergraduate- & graduate-level courses at five Canadian universities as well as numerous Software Carpentry & PyData tutorial workshops. Video examples of his teaching include:\r\n\r\n+ https://www.youtube.com/watch?v=CW8hTe21LPg\r\n+ https://www.youtube.com/watch?v=LjQlmee58hg\r\n+ https://www.youtube.com/watch?v=uZFQsv4WO8M", "public_name": "Dhavide Aruliah", "guid": "9885faec-d291-5e78-a314-1967fb629ab9", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/XMX8PY/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QTAWL7/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QTAWL7/", "attachments": []}, {"guid": "cef21723-a2cd-5e5c-9ef3-531ae8d3c103", "code": "ABSN39", "id": 4348, "logo": null, "date": "2025-11-18T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF702", "slug": "foss4g-2025-4348-h-o-t-t-o-g-o-mobile-apps-that-support-disaster-response-and-climate-resilience-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ABSN39/", "title": "H-O-T-T-O-G-O: Mobile Apps That Support Disaster Response and Climate Resilience Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "HOTTOGO is a hands-on workshop introducing mobile mapping tools used in disaster response and climate resilience. Learn how to collect, navigate, and act on data using free, offline-ready apps built for fast, community-driven action\u2014wherever you are, even without WiFi.", "description": "Disaster doesn\u2019t wait for a stable internet connection\u2014or for your laptop to boot up. That\u2019s why the Humanitarian OpenStreetMap Team (HOT) and its global contributors have developed and adapted a suite of mobile-ready tools designed for field mappers, community organizers, and first responders.\r\n\r\nThis workshop introduces participants to the HOTTOGO Toolkit:\r\n\r\n\ud83e\udded MapSwipe \u2013 Tap and swipe to prioritize satellite imagery for mapping.\r\n\r\n\ud83d\udccd EveryDoor \u2013 Add points of interest or update OpenStreetMap data right from your phone.\r\n\r\n\ud83d\udcdd KoboToolbox / ODK Collect \u2013 Build and deploy surveys to collect local knowledge, damages, needs, and more.\r\n\r\n\ud83d\uddfa\ufe0f Organic Maps / OsmAnd \u2013 Navigate and visualize OSM data offline in disaster zones.\r\n\r\n\u270d\ufe0f Field Papers \u2013 Go analog with printed maps and draw-on mapping for truly offline areas.\r\n\r\n\ud83e\udde9 Mapillary / KartaView \u2013 Contribute street-level imagery from your mobile for detailed, up-to-date visuals.\r\n\r\nThe session will include:\r\n\r\nLive demos of each app\r\n\r\nReal-world use cases from climate-vulnerable and disaster-prone communities in Asia-Pacific\r\n\r\nHands-on mini-exercises\r\n\r\nTool selection guide: how to choose the right combo for your local mapping needs", "recording_license": "", "do_not_record": false, "persons": [{"code": "MXTSM8", "name": "MIKKO TAMURA", "avatar": "https://talks.staging.osgeo.org/media/avatars/W8J3SL_aZFc3OP_PfmuM7I.jpg", "biography": "Mikko Tamura is a community builder, open mapping advocate, and humanitarian geospatial leader based in the Philippines. He is the founder of MapBeks, a volunteer-driven initiative that champions inclusive mapping for the LGBTQ+ community and people living with HIV (PLHIV). Mikko currently serves as the Community Manager for the Open Mapping Hub \u2013 Asia Pacific at the Humanitarian OpenStreetMap Team (HOT), where he leads regional strategies to strengthen grassroots mapping leadership, digital inclusion, and local data empowerment.\r\n\r\nWith over a decade of experience in digital mapping, community engagement, and humanitarian response, Mikko has led multiple award-winning projects, including the LGBT Safe Spaces Map and the HIV Support Facilities Map. He was the 2022 Gender Equity and Inclusion Champion at the World Geospatial Awards and is the first Filipino to win the Distinction Award at the ASEAN Geospatial Challenge.\r\n\r\nMikko\u2019s work focuses on harnessing Volunteered Geographic Information (VGI) to amplify the voices of underrepresented groups and drive community-led solutions in times of crisis and beyond. He is passionate about using maps to make invisible communities visible\u2014and believes that every map is a story of people helping people.", "public_name": "MIKKO TAMURA", "guid": "77dc3509-53f0-5a3f-b66d-dfc3508c9c3a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/MXTSM8/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ABSN39/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ABSN39/", "attachments": []}], "WF710": [{"guid": "e46630a5-24ba-54ef-ae39-9345dd91905a", "code": "FGATAY", "id": 4214, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/FGATAY/pgRoutingWorkshop_EgAeK9A.png", "date": "2025-11-18T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF710", "slug": "foss4g-2025-4214-pgrouting-basic-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FGATAY/", "title": "pgRouting basic workshop", "subtitle": "", "track": "Workshop - Intermediate Level", "type": "Workshop", "language": "en", "abstract": "This basic workshops takes you by the hand to start using pgRouting's basic routing function`pgr_dijkstra`.", "description": "1. Prepare Data\r\n\r\n    1.1. Prepare the database\r\n    1.2. Get the Workshop Data\r\n    1.3. Upload data to the database\r\n    1.4. Chapter: Appendix\r\n\r\n2. Pedestrian Routing\r\n\r\n    2.1. pgr_dijkstra\r\n    2.2. pgr_dijkstraCost\r\n\r\n3. Vehicle Routing\r\n\r\n    3.1. Routing for vehicles\r\n    3.2. Cost manipulations\r\n\r\n4. Graph views\r\n\r\n    4.1. The graph requirements\r\n    4.2. pgr_extractVertices\r\n    4.3. pgr_connectedComponents\r\n    4.4. Preparing the graphs\r\n\r\n5. SQL function\r\n\r\n    5.1. The application requirements\r\n    5.2. Additional information handling\r\n    5.3. Geometry handling\r\n    5.4. Creating an SQL Function", "recording_license": "", "do_not_record": false, "persons": [{"code": "DUUVVD", "name": "Vicky Vergara", "avatar": "https://talks.staging.osgeo.org/media/avatars/30d07ab4c5a21860824dcb1fcf0d1313_Geucnfi.jpg", "biography": "I am an Economist and Computer Scientist, pgRouting fan and developer.\r\n\r\nOpen Source Software advocate.\r\n\r\n* pgRouting project leader and developer since 2013 Including the subproducts:\r\n  * pgRouting,\r\n  * pgRoutingLayers,\r\n  * osm2pgRouting.\r\n* Google Summer of Code mentor since 2015\r\n* FOSS4G speaker since 2015\r\n* PSC member of OSGeoLive\r\n* Currently member of the Board of Directors of the OSGeo Foundation.", "public_name": "Vicky Vergara", "guid": "bd0eba48-aba6-505b-90ab-a3e30b7365ae", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/DUUVVD/"}, {"code": "37VPNQ", "name": "Joseph Percival", "avatar": null, "biography": "Software engineer and postdoctoral researcher at the University of Hawaii.", "public_name": "Joseph Percival", "guid": "8d233482-8580-53a9-a583-8f9816d45bb9", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/37VPNQ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FGATAY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FGATAY/", "attachments": []}, {"guid": "d122e67c-52ff-574d-a1a8-51e0b298f66f", "code": "XLSDYG", "id": 4466, "logo": null, "date": "2025-11-18T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF710", "slug": "foss4g-2025-4466-simulating-sustainable-urban-spaces-on-aws-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XLSDYG/", "title": "Simulating Sustainable Urban Spaces on AWS Workshop", "subtitle": "", "track": "Workshop - Intermediate Level", "type": "Workshop", "language": "en", "abstract": "Extreme heat poses major threats to human and environmental health and safety. In this workshop, you use Amazon SageMaker AI and open data from Amazon Sustainability Data Initiative (ASDI) to uncover patterns in vegetation and temperature, understand risks to urban areas, and simulate solutions that reduce risk to communities.", "description": "Extreme heat poses major threats to human and environmental health and safety. In this workshop, you use Amazon SageMaker AI and open data from Amazon Sustainability Data Initiative (ASDI) to uncover patterns in vegetation and temperature, understand risks to urban areas, and simulate solutions that reduce risk to communities.\r\n\r\nIn particular, you will:\r\n- Investigate the relationship among temperature, vegetation, and other environmental factors (such as water and soil build-up) using Amazon SageMaker Studio \r\n- Gain hands-on experience working with geospatial data using AWS services\r\n- Learn about the Amazon Sustainability Data Initiative (ASDI)  to access open satellite imagery data (USGS Landsat)\r\n- Build and deploy a machine learning model to simulate more sustainable outcomes (less heat risk)\r\n\r\nThis workshop is aimed at individuals who want to learn how Artificial Intelligence and Machine Learning can help make predications based on open source data, individuals who want to experiment with the power of satellite imagery, as well as individuals who want to on-ramp to cloud-native geospatial workflows. No specific background knowledge is required. This workshop provides step-by-step instructions along with the code required to run each step. Participants can also elect to make additional, optional coding improvements.", "recording_license": "", "do_not_record": false, "persons": [{"code": "7K3UMR", "name": "Guyu Ye", "avatar": "https://talks.staging.osgeo.org/media/avatars/guyu_headshot_hiVbGv5.jpeg", "biography": "Guyu Ye is a Senior Solutions Architect focused on Social Responsibility and Impact at Amazon Web Services (AWS). She works with mission-driven customers in health, education, and climate change to amplify their impact through cloud technology.", "public_name": "Guyu Ye", "guid": "aa87dff7-706e-51e1-945a-1df3f98ad4d4", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7K3UMR/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XLSDYG/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XLSDYG/", "attachments": []}], "WF711": [{"guid": "97370636-2de4-5135-bc1e-45627f6919f6", "code": "BMWWR9", "id": 4387, "logo": null, "date": "2025-11-18T09:00:00+13:00", "start": "09:00", "duration": "03:00", "room": "WF711", "slug": "foss4g-2025-4387-standalone-web-maps-no-platform-required", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BMWWR9/", "title": "Standalone Web Maps, No Platform Required", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "Calling all researchers, land managers, and FOSS4G hobbyists who need a modern web map. Using just a Github account, you can make a web map that is simple and free to deploy, is totally customizable, can be integrated into your CMS or modern web stack.", "description": "In this workshop, we will walk through how to build a map inside a GitHub repository, hosted with GitHub Pages, and built entirely with open source tools.\r\n\r\nWorkshop materials and individual modules with step-by-step instructions are under construction at [https://github.com/mizmay/standalone_web_maps_foss4g2025](https://github.com/mizmay/standalone_web_maps_foss4g2025) and viewable at [mizmay.github.io/standalone_web_maps_foss4g2025/](https://mizmay.github.io/standalone_web_maps_foss4g2025/workshop/welcome/).\r\n\r\nAttendees are encouraged to come prepared with a laptop, having completed at least step 1.\r\n\r\nKey concepts / technologies:\r\n- [PMTiles](https://docs.protomaps.com/pmtiles/): because they work via HTTP, PMTiles (portable map tiles) do not require a map server to deliver tiled map data to your browser.\r\n- [Protomaps](https://protomaps.com/): is a global basemap stored in PMTiles that can be downloaded from a bounding box and customized to meet your needs.\r\n- [Overpass](https://overpass-turbo.eu/#): is an API and querying language for OpenStreetMap that can be used to extract select data you want to use to add context and fidelity by styling them within your basemap\r\n- [GitHub Pages](https://docs.github.com/en/pages): provide a built-in web hosting platform for any Github repo. Provided your repo is under 1 GB of data, achievable for most project or site-level maps, this is all you need to host your map\r\n- [Maplibre GL JS](https://maplibre.org/maplibre-gl-js/docs/): is an open source, vector tile map rendering library for Javascript. It supports PMTiles and can be used to control how your data from PMTiles and other sources is rendered and displayed.", "recording_license": "", "do_not_record": false, "persons": [{"code": "7A883D", "name": "Stephanie May", "avatar": "https://talks.staging.osgeo.org/media/avatars/StephanieMay_headshot_QyqnqYT.png", "biography": "Open source enthusiast, CNG board member, Maplibre board member, cartographer at large", "public_name": "Stephanie May", "guid": "cbb1d5f1-b51d-54a2-abfd-9e4914cfd711", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7A883D/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BMWWR9/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BMWWR9/", "attachments": []}, {"guid": "d36eb5e0-c4d7-5aaf-8ea3-22425164b384", "code": "VYW8GM", "id": 4256, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/VYW8GM/result_final_RpBjxUG.png", "date": "2025-11-18T13:30:00+13:00", "start": "13:30", "duration": "03:00", "room": "WF711", "slug": "foss4g-2025-4256-open-data-open-source-open-standard-quickly-build-your-digital-twin-city-with-mago3d-workshop", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VYW8GM/", "title": "Open Data, Open Source, Open Standard: Quickly build your digital twin city with mago3D Workshop", "subtitle": "", "track": "Workshop - Beginner Friendly", "type": "Workshop", "language": "en", "abstract": "Open Data, Open Source, Open Standard: Quickly build your digital twin city with mago3D", "description": "This workshop provides participants with the experience of creating a digital twin city by utilizing open data from the region where FOSS4G is held.\r\n\r\nParticipants will collect open data, transform it using open-source tools (mago3DTiler, mago3DTerrainer), and experience the full workflow of serving the data according to OGC (Open Geospatial Consortium) standards.\r\n\r\nThey will visualize city buildings and terrain in 3D, overlaying road layers and satellite imagery to construct a realistic urban environment. Additionally, participants will transform and overlay point cloud data, and then plant trees in the city.\r\n\r\nThis entire process relies on open data, open source, and open standards, allowing participants to experience the remarkable creation of a digital twin city from scratch within just three hours on an unprepared PC.\r\n\r\nhttps://github.com/Gaia3D/mago3d-doc/blob/main/foss4g-2025/README.md\r\n\r\nThis work is supported by the Korea Agency for Infrastructure Technology Advancement(KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant RS-2022-00143336, NTIS Grant: 2610000396)\r\n\r\nThis work is supported by the Korea Agency for Infrastructure Technology Advancement(KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant RS-2025-02317649, NTIS Grant: 2610000447)", "recording_license": "", "do_not_record": false, "persons": [{"code": "3NCQ7V", "name": "Yeonhwa Jeong", "avatar": null, "biography": null, "public_name": "Yeonhwa Jeong", "guid": "707001cb-904f-5b19-8ec0-8a01d9463850", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/3NCQ7V/"}, {"code": "F7LELM", "name": "Jungin Yoon", "avatar": null, "biography": "SW Developer from Gaia3D", "public_name": "Jungin Yoon", "guid": "a9908012-8fb6-5a32-b55a-0b5201747dd6", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/F7LELM/"}, {"code": "LFLDCJ", "name": "Sung-Jun Cho", "avatar": "https://talks.staging.osgeo.org/media/avatars/123_QkYYOh4.jpg", "biography": "I\u2019m a South Korean software developer with a strong focus on modern front-end technologies and geospatial applications. I specialize in building highly interactive web applications using mapping libraries like CesiumJS and OpenLayers, combining spatial data with scalable UI architecture to deliver powerful user experiences.", "public_name": "Sung-Jun Cho", "guid": "b06efc7c-4134-57f1-ba92-4e1401ef5fd7", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LFLDCJ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VYW8GM/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VYW8GM/", "attachments": []}]}}, {"index": 3, "date": "2025-11-19", "day_start": "2025-11-19T04:00:00+13:00", "day_end": "2025-11-20T03:59:00+13:00", "rooms": {"WG306 Foyer": [{"guid": "d563a0cd-bd2b-5ea6-ab6d-bd21e47949c1", "code": "3W8Y9W", "id": 4697, "logo": null, "date": "2025-11-19T08:00:00+13:00", "start": "08:00", "duration": "09:00", "room": "WG306 Foyer", "slug": "foss4g-2025-4697-2-registration", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3W8Y9W/", "title": "Registration", "subtitle": "", "track": "Registration", "type": "Registration", "language": "en", "abstract": "FOSS4G 2025 Auckland Conference Registration", "description": "FOSS4G 2025 Auckland Conference Registration", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3W8Y9W/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3W8Y9W/", "attachments": []}], "Hilton Hotel": [{"guid": "809d1e7f-0c1f-5224-a915-e60ab97da701", "code": "D8ARS7", "id": 4729, "logo": null, "date": "2025-11-19T18:00:00+13:00", "start": "18:00", "duration": "04:00", "room": "Hilton Hotel", "slug": "foss4g-2025-4729-conference-dinner", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/D8ARS7/", "title": "Conference Dinner", "subtitle": "", "track": "Social Event", "type": "Social Event", "language": "en", "abstract": "Conference Dinner Event on the waterfront", "description": "Join the community in celebrating FOSS4G over dinner and live music.\r\nHilton Hotel, Auckland waterfront. \r\n147 Quay Street, Auckland Central", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/D8ARS7/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/D8ARS7/", "attachments": []}], "Scarecrow": [{"guid": "edc71839-c42f-57ce-bbe1-b4bfffeffeb0", "code": "K3LWDA", "id": 4728, "logo": null, "date": "2025-11-19T07:00:00+13:00", "start": "07:00", "duration": "01:30", "room": "Scarecrow", "slug": "foss4g-2025-4728-travel-grant-program-breakfast", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/K3LWDA/", "title": "Travel Grant Program Breakfast", "subtitle": "", "track": "Social Event", "type": "Social Event", "language": "en", "abstract": "Travel Grant Program Breakfast Event", "description": "Travel Grant Program Breakfast Event.\r\nHeld at Scarecrow\r\n33 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well as visit our exhibitors and sponsors.", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MFNPZ8/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MFNPZ8/", "attachments": []}, {"guid": "a73ae959-e56a-5b9e-b81f-8b3187c0ab7b", "code": "9S9U8F", "id": 4694, "logo": null, "date": "2025-11-19T15:00:00+13:00", "start": "15:00", "duration": "00:30", "room": "WG201 Exhibition & Catering", "slug": "foss4g-2025-4694-2-afternoon-break", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9S9U8F/", "title": "Afternoon Break", "subtitle": "", "track": "Break", "type": "Afternoon Tea", "language": "en", "abstract": "This is the time where you can have a 30min break to recharge with Tea, Coffee, Juice, Water and Food", "description": "This is the time where you can have a 30min break to recharge with Tea, Coffee, Juice, Water and Food", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9S9U8F/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9S9U8F/", "attachments": []}], "WG403": [{"guid": "58573bd4-f639-56ba-ac8e-556b66dd2638", "code": "ZGJA3V", "id": 4675, "logo": null, "date": "2025-11-19T08:30:00+13:00", "start": "08:30", "duration": "01:00", "room": "WG403", "slug": "foss4g-2025-4675-opening-ceremony", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZGJA3V/", "title": "Opening Ceremony", "subtitle": "", "track": "Ceremony", "type": "Opening Ceremony", "language": "en", "abstract": "The opening ceremony for FOSS4G Auckland 2025", "description": "The opening ceremony for FOSS4G Auckland 2025", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZGJA3V/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZGJA3V/", "attachments": []}, {"guid": "0a69d547-c18c-5cef-aec7-0e9cb8ca6dfc", "code": "8BZ9AW", "id": 4677, "logo": null, "date": "2025-11-19T09:30:00+13:00", "start": "09:30", "duration": "00:30", "room": "WG403", "slug": "foss4g-2025-4677-maori-maps-to-the-gate-of-intellectual-belonging-in-aotearoa", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8BZ9AW/", "title": "M\u0101ori Maps: \u2018To the gate\u2019 of intellectual belonging in Aotearoa", "subtitle": "", "track": "Keynote", "type": "Keynote", "language": "en", "abstract": "Over five years, and more than twenty thousand kilometres, our small team visited almost every ancestral M\u0101ori community of New Zealand to create the first ever map of ancestral marae. Our mission is to reconnect descendants with marae through our web platform \u2013 Maorimaps.com.", "description": "Over five years, and more than twenty thousand kilometres, our small team visited almost every ancestral M\u0101ori community of New Zealand to create the first ever map of ancestral marae. Our mission is to reconnect descendants with marae through our web platform \u2013 Maorimaps.com. Now 16 years in existence, M\u0101ori Maps now guides the 30 thousand (and growing) monthly visitors to the virtual gateway of 780-plus ancestral marae of Aotearoa.\r\n\r\nHirini\u2019s keynote reflects on the genesis of M\u0101ori Maps and the founding ethic of \u201cto the gate\u201d that guided its creation. Grounded in the ritual of encounter (p\u014dwhiri), \u201cto the gate\u201d embodies both a philosophical stance and a practical approach to protecting indigenous data sovereignty and intellectual belonging. This talk will examine how this principle shaped the project\u2019s framework and continues to inform its responsibilities to marae communities. It will also consider the pathways in managing restricted and non-restricted knowledge\u2014tapu and noa, public and private\u2014in the context of digital platforms and \u201cfree and open source\u201d environments.", "recording_license": "", "do_not_record": false, "persons": [{"code": "RKQVNW", "name": "Hirini Tane", "avatar": null, "biography": "Hirini grew up in the small marae community of Oromahoe in the Bay of Islands, Northland. He completed a doctorate at the University of Otago, Dunedin, exploring the past-present and future of his village. The general theme of his research interests is understanding something of the relationship between people, land and water.\r\nHirini has been involved with Te Potiki National Trust, and the website www.maorimaps.com since 2010. He co-founded the M\u0101ori community focused company Takarangi Research. He now supports Te Whare W\u0101naka o Aoraki (Lincoln University) as its M\u0101ori Strategic Capability Lead.", "public_name": "Hirini Tane", "guid": "bbd2845c-5f3d-52ea-ac53-87c90aad55e7", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/RKQVNW/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8BZ9AW/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8BZ9AW/", "attachments": []}, {"guid": "18eecb40-795d-54c4-b32d-d5938e12d5e9", "code": "VLQH8H", "id": 4678, "logo": null, "date": "2025-11-19T10:00:00+13:00", "start": "10:00", "duration": "00:30", "room": "WG403", "slug": "foss4g-2025-4678-we-don-t-build-tech-but-we-build-communities", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VLQH8H/", "title": "We don't build tech, but we build communities.", "subtitle": "", "track": "Keynote", "type": "Keynote", "language": "en", "abstract": "This keynote explores how feminist mappers from Geochicas around the world are transforming tech spaces by centering care, visibility, and collective learning in their communities", "description": "This keynote explores how feminist mappers from Geochicas around the world are transforming tech spaces by centering care, visibility, and collective learning in their communities. By grounding their work in community relationships, they are creating critical forms of human infrastructure that sustain open technologies.\r\nWe often measure innovation through lines of code, data layers, or new platforms, but behind every map lies something deeper: the communities that make collaboration possible. In this talk, I reflect on the power of collective organizing and how building and strengthening communities is, in itself, a form of technological innovation.", "recording_license": "", "do_not_record": false, "persons": [{"code": "AJZHHT", "name": "Selene Yang Rappaccioli", "avatar": "https://talks.staging.osgeo.org/media/avatars/DSC_4565_1_JRta2fC.JPG", "biography": "Selene Yang is a Latin American queer feminist, community organizer, mapmaker, and co-founder of Geochicas. She holds a PhD. in Social Communication from the National University of La Plata. Research Fellow at the Digital Civil Society Lab and Stanford University. Selene is also part of the FAIR network for feminist AI, Tierra Com\u00fan for data Decolonization, and the Communication and Public Policy Research Center of the School of Communication of the UNLP. She currently works at the Wikimedia Foundation as a Senior Specialist in Diversity, Equity, and Inclusion.", "public_name": "Selene Yang Rappaccioli", "guid": "16ea03e6-be15-586f-b0ec-b248521760af", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/AJZHHT/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VLQH8H/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VLQH8H/", "attachments": []}, {"guid": "385eba12-da8d-54a4-865a-c4e23690014b", "code": "9KDXDY", "id": 4257, "logo": null, "date": "2025-11-19T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4257-qgis-feature-frenzy", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9KDXDY/", "title": "QGIS Feature Frenzy", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "QGIS is packed full of incredible features! We'll run through a few of our favourites, including highlights from the last few releases, and take a look at what's about to be unleashed in QGIS 4.0.", "description": "QGIS is packed full of incredible features! You can work with this software for years, and still discover new, weird, and wonderful tricks on a regular basis. Every new release contains a raft of enhancements and whole new areas of functionality.\r\n\r\nIn this talk, Marco Bernasocchi (QGIS.org chairperson) and Nyall Dawson (QGIS software developer) will run through a few of their favourite features in QGIS, including highlights from the last few releases, and take a look at what's about to be unleashed in QGIS 4.0.\r\n\r\nWith an eye on the future, they'll talk about how you can contribute to QGIS, and what the future might hold for this community-driven open source project. \r\n\r\nStay around for the following 'Ask me anything' session with Marco and Nyall.", "recording_license": "", "do_not_record": false, "persons": [{"code": "8VUFRV", "name": "Marco Bernasocchi", "avatar": "https://talks.staging.osgeo.org/media/avatars/094d5f0768ac7ead78be67b37dffe778_yJmXEAG.jpg", "biography": "Marco Bernasocchi is an open-source advocate, entrepreneur and full-stack geoninja. He is the creator of QField for QGIS, currently serves as QGIS.org Chair, and is an Open Source Geospatial Foundation board member. In his day job, Marco is the CEO of OPENGIS.ch, which he founded in 2011.\r\n\r\nA geographer by trade, Marco lives in a small Romansh-speaking mountain village in Switzerland, where he loves scrambling around the mountains to enjoy the feeling of freedom it gives him. Outgoing, flexible and open-minded, Marco fluently speaks five languages. The best thing is: He not only knows how to say it but also loves sharing his know-how.", "public_name": "Marco Bernasocchi", "guid": "00b3a94c-7e92-536b-a523-23e3d6f35d31", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8VUFRV/"}, {"code": "NMUUEN", "name": "Nyall Dawson", "avatar": "https://talks.staging.osgeo.org/media/avatars/nyall3_pQ91aF5.jpg", "biography": null, "public_name": "Nyall Dawson", "guid": "c0413c70-f248-5455-bb79-dfd458b63289", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NMUUEN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9KDXDY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9KDXDY/", "attachments": []}, {"guid": "7c0881cb-02d3-5794-b540-495ea364b2ef", "code": "YVWM8U", "id": 4258, "logo": null, "date": "2025-11-19T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4258-qgis-ask-me-anything-session", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/YVWM8U/", "title": "QGIS \"Ask me Anything\" session", "subtitle": "", "track": "Desktop GIS & Data Collection", "type": "Talk", "language": "en", "abstract": "This session follows on from the QGIS \"Feature Frenzy\" talk and is your once-in-a-lifetime opportunity to ask Marco Bernasocchi (QGIS.org Chairperson) and Nyall Dawson (QGIS Core Contributor) anything about QGIS.", "description": "Start thinking about those burning questions that YOU want answered about QGIS. Quiz us about QGIS features, how the project is run, challenges and what the future holds. Don't hold back!", "recording_license": "", "do_not_record": false, "persons": [{"code": "8VUFRV", "name": "Marco Bernasocchi", "avatar": "https://talks.staging.osgeo.org/media/avatars/094d5f0768ac7ead78be67b37dffe778_yJmXEAG.jpg", "biography": "Marco Bernasocchi is an open-source advocate, entrepreneur and full-stack geoninja. He is the creator of QField for QGIS, currently serves as QGIS.org Chair, and is an Open Source Geospatial Foundation board member. In his day job, Marco is the CEO of OPENGIS.ch, which he founded in 2011.\r\n\r\nA geographer by trade, Marco lives in a small Romansh-speaking mountain village in Switzerland, where he loves scrambling around the mountains to enjoy the feeling of freedom it gives him. Outgoing, flexible and open-minded, Marco fluently speaks five languages. The best thing is: He not only knows how to say it but also loves sharing his know-how.", "public_name": "Marco Bernasocchi", "guid": "00b3a94c-7e92-536b-a523-23e3d6f35d31", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8VUFRV/"}, {"code": "NMUUEN", "name": "Nyall Dawson", "avatar": "https://talks.staging.osgeo.org/media/avatars/nyall3_pQ91aF5.jpg", "biography": null, "public_name": "Nyall Dawson", "guid": "c0413c70-f248-5455-bb79-dfd458b63289", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NMUUEN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/YVWM8U/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/YVWM8U/", "attachments": []}, {"guid": "e09060c0-e87d-5a3f-97a9-1d040199c0a6", "code": "VFK79A", "id": 4187, "logo": null, "date": "2025-11-19T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4187-is-zarr-the-new-cog", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VFK79A/", "title": "Is Zarr the new COG?", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Zarr is gaining traction in geospatial workflows\u2014but is it replacing COG, complementing it, or something else entirely? We\u2019ll unpack the formats\u2019 shared foundations, explore their tradeoffs, and offer a path toward better community guidance, tooling, and support.", "description": "Cloud-Optimized GeoTIFF (COG) and Zarr have each earned their place in modern geospatial workflows. While often framed in opposition\u2014raster vs. analysis, imagery vs. data cube\u2014they are in fact deeply complementary. In this talk, we\u2019ll unpack how they address similar challenges from different angles, and why they should be considered parts of a shared toolkit rather than competing paradigms.\r\n\r\nWe\u2019ll highlight where Zarr and COG overlap, where they differ, and how decisions around chunking, compression, tiling strategies, and metadata design affect both formats. We'll discuss implementation pitfalls, emerging best practices, and the still-unanswered questions that data producers and tool builders face.\r\n\r\nMore than a comparison, this talk is a call to action: the community lacks clear guidance and consistent support for practitioners working to produce data in either format. We\u2019ll highlight concrete gaps in the tooling landscape, share ideas from our own work on how to improve decision-making and best practices, and invite others to collaborate on building a healthier, more cooperative open geospatial data ecosystem.", "recording_license": "", "do_not_record": false, "persons": [{"code": "8TAMEN", "name": "Jarrett Keifer", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_7316_crop_a35B92h.jpeg", "biography": "Jarrett Keifer is a Senior Geospatial Software Engineer at Element 84, a commercial geospatial consultancy that uses open-source to build effective customer solutions. His interests include education and outreach, geospatial data formats, and high-performance systems/network programming. He enjoys designing systems to operate at scale, particularly to support remote sensing data processing and earth science applications, and has over ten years of experience contributing to open source projects.", "public_name": "Jarrett Keifer", "guid": "a96982f6-47e9-53fd-9d40-f07ed7f44fa6", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8TAMEN/"}, {"code": "BQ8JEN", "name": "Julia Signell", "avatar": null, "biography": "I have worked in the scientific Python ecosystem as an environmental researcher, an open source contributor, and a web developer. I am passionate about finding creative ways to enhance understanding of the physical world. My past experience includes maintaining Dask (open source distributed computing tool) and HoloViz (open source high-level visualization tool). In my current role at Element 84 (formerly Azavea), I work on the maintain django/react web applications and push forward tooling and open source best practices for scientists.", "public_name": "Julia Signell", "guid": "6683534b-4695-5baa-b0d6-12b5253c84db", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQ8JEN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VFK79A/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VFK79A/", "attachments": []}, {"guid": "091bbb68-c429-5aa3-afbf-c5f468893d60", "code": "FGPL3P", "id": 4409, "logo": null, "date": "2025-11-19T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4409-state-of-geoserver", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FGPL3P/", "title": "State of GeoServer", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "GeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping, as well as to process data, either in batch or on the fly.", "description": "GeoServer powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage, disseminate and analyze data at scale.\r\n\r\nThis presentation provides an update on our community as well as reviews of the new and noteworthy features for the latest releases. In particular, we will showcase all the new features landed in the 2.27 and 2.28 series.\r\n\r\nAttend this talk for a cheerful update on what is happening with this popular OSGeo project, whether you are an expert user, a developer, or simply curious what GeoServer can do for you", "recording_license": "", "do_not_record": false, "persons": [{"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FGPL3P/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FGPL3P/", "attachments": []}, {"guid": "16aa10ce-8ae2-5cd2-98b9-0041de83a5e1", "code": "E8EHWE", "id": 4368, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/E8EHWE/front2_hszAvzJ.png", "date": "2025-11-19T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4368-gis-as-a-communication-tool-using-re-earth-visualizer-in-citizen-workshops", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/E8EHWE/", "title": "GIS as a Communication Tool: Using Re:Earth Visualizer in Citizen Workshops", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "How Re:Earth Visualizer turns GIS into an interactive medium connecting citizens and governments.", "description": "GIS has long been seen as a professional and complex technology \u2014 both technically and conceptually. While WebGIS has made it more accessible, it still remains challenging for non-experts, especially for citizens to quickly learn, participate, and create meaningful outputs within a short time.\r\n\r\nAt the same time, local governments \u2014 one of the major GIS users \u2014 are increasingly looking for new ways to communicate and co-create with their citizens. From disaster prevention planning to urban redevelopment, there is a growing demand to make maps and data a medium for dialogue, not a technical barrier.\r\n\r\nIn this talk, I will introduce several case studies demonstrating how our team leverages the Re:Earth Visualizer plugin ecosystem together with Re:Earth CMS to design lightweight and intuitive WebGIS applications for citizen participation workshops. These applications transform GIS into a tool for collaboration, storytelling, and civic engagement, helping governments and citizens engage in complex yet enjoyable forms of spatial communication.", "recording_license": "", "do_not_record": false, "persons": [{"code": "NXZKP7", "name": "RED (XU CONG)", "avatar": "https://talks.staging.osgeo.org/media/avatars/044647f54f91c9ee601fed563881b375_l1UARF7.png", "biography": "- Product designer exploring the intersection of design, geospatial technology, and digital art.\r\n- Based in Tokyo, crafting visual-first tools that help cities and communities see, understand, and shape their data.\r\n- Interested in how open data and spatial computing can empower public dialogue and collective decision-making.", "public_name": "RED (XU CONG)", "guid": "fb12dc70-eaa0-5c8b-b9cd-c855579f3b47", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NXZKP7/"}, {"code": "Y7FMR3", "name": "Hinako Iseki", "avatar": "https://talks.staging.osgeo.org/media/avatars/twitter_icon_Vhvafh3.jpg", "biography": "GIS engineer at Eukarya, from Japan. \r\nBoard member of OSGeo Japan Chapter.", "public_name": "Hinako Iseki", "guid": "7d62334a-a8f7-5e72-b043-b087d09caaa3", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/Y7FMR3/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/E8EHWE/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/E8EHWE/", "attachments": []}, {"guid": "eb3ba284-0230-5911-9389-6a7cb4a1ec54", "code": "KV7EHL", "id": 4342, "logo": null, "date": "2025-11-19T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4342-modular-interoperable-cross-language-geospatial-libraries-with-geoarrow", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KV7EHL/", "title": "Modular, Interoperable, Cross-Language Geospatial libraries with GeoArrow", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "DuckDB, GDAL, and libraries like Lonboard can now efficiently share large vector data at low cost, thanks to GeoArrow. This talk will explain what GeoArrow is and how to get the best performance when sharing data between these libraries with practical examples.", "description": "[DuckDB](https://duckdb.org/), [GDAL](https://gdal.org/), libraries like [Lonboard](https://developmentseed.org/lonboard/latest/), and more can now efficiently share large vector data at low cost, thanks to [GeoArrow](https://geoarrow.org/), a binary representation for vector geometries that can be shared across libraries without any data copies.\r\n\r\nGeoArrow is a relatively low-level technology that tends to be unseen by end-users. This is great! Users just see performance improvements!\r\n\r\nFor example, GDAL 3.6 [introduced support](https://gdal.org/en/stable/development/rfc/rfc86_column_oriented_api.html) for exposing the data read by OGR\u2019s vector drivers as GeoArrow. This [dramatically improved performance](https://gdal.org/en/stable/development/rfc/rfc86_column_oriented_api.html#benchmarks): reading from FlatGeobuf or GeoPackage files to a GeoPandas `GeoDataFrame` improved by **20x**.\r\n\r\nBut it can be useful to understand the factors behind what makes GeoArrow so performant. This talk will explain what GeoArrow is, how it differs from other new technologies like GeoParquet, and how to get the best performance when sharing data between these libraries with practical examples. It will also give a quick peek under the hood for how advanced users can create a cross-language library from C or Rust, but this talk will aim to be digestible for wide audiences; no deep technical prerequisites are expected.", "recording_license": "", "do_not_record": false, "persons": [{"code": "LYUBSM", "name": "Kyle Barron", "avatar": "https://talks.staging.osgeo.org/media/avatars/dca7f43205de8dee5dfce1a6faaedfd8_AMOJrt5.jpg", "biography": "Kyle is a cloud engineer at Development Seed. He builds open source tools and infrastructure that process and visualize geospatial data. Kyle is particularly excited about cloud-native vector data formats, speeding up Python and JavaScript applications from Rust, spatial indexes, and efficient data pipelines.\r\n\r\nBefore joining Development Seed, Kyle previously worked as a software engineer at Unfolded and then Foursquare, building geospatial data visualizations on the web for vector and raster data.\r\n\r\nBased in New York City, Kyle spends time running in Central Park, exploring the city, and dodging tourists. Kyle is a graduate of University of California, Los Angeles where he received a B.A. in Economics with a minor in Mathematics.", "public_name": "Kyle Barron", "guid": "b7ee3f79-9370-557a-9955-63adc40f9179", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LYUBSM/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KV7EHL/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KV7EHL/", "attachments": []}, {"guid": "a5727438-cd45-5b2e-8d91-25eeffbd76cf", "code": "ZQM9AP", "id": 3868, "logo": null, "date": "2025-11-19T15:35:00+13:00", "start": "15:35", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-3868-introducing-osm-clubs-in-elementary-schools-building-young-mappers-for-a-better-future", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZQM9AP/", "title": "Introducing OSM Clubs in Elementary Schools Building Young Mappers for a Better Future", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "The initiative aims to launch OSM-based clubs in primary schools across Addis Ababa, promoting environmental awareness and digital literacy among children, and building a foundation for future YouthMappers through fun, educational, and community-centered activities.", "description": "Youth Mappers has successfully built a global network of university student chapters that contribute to mapping underserved communities through OpenStreetMap (OSM). While this movement has empowered youth in higher education to engage with geography, technology, and civic responsibility, there is a growing need to extend this opportunity to even younger students. This proposal advocates for the expansion of OSM based clubs into elementary schools in Addis Ababa, Ethiopia, to cultivate environmental awareness and digital mapping skills from an early age.\r\nChildren are naturally curious and observant of their surroundings. Starting OSM clubs at the elementary level will allow students to explore their neighborhoods, learn basic mapping concepts, and develop a sense of ownership and care for their environment. Through hands-on activities such as sketch mapping, local data collection, and digital storytelling, young students can begin to understand their communities in new ways. This not only enhances geographic literacy but also encourages early digital learning, problem-solving, and teamwork.\r\nThe proposed pilot program, called \u201cYoung Mappers Club,\u201d will be launched in selected primary schools in Addis Ababa. The club will follow a simplified and age-appropriate curriculum that introduces key concepts of OpenStreetMap, environmental awareness, and community mapping. Activities will be designed to be fun, interactive, and aligned with existing educational goals. With support from local Youth Mappers university chapters, schoolteachers, and parents, the club will serve as a bridge between university-led initiatives and community-based learning.\r\nWe believe that empowering students at a young age helps develop a lifelong interest in their environment, technology, and civic responsibility. This initiative will create a pipeline of future Youth Mappers who are already familiar with OSM tools and values before they reach university level. It also contributes to a culture of participation and awareness within families and local communities.\r\nTo bring this vision to life, we are seeking support from the Youth Mappers and OSM community in the form of training materials, mentorship, and technical guidance. With collaboration and shared resources, Addis Ababa can become a model city for integrating OSM education into primary school systems. Let\u2019s inspire the next generation of mappers, starting from the classroom.", "recording_license": "", "do_not_record": false, "persons": [{"code": "HUPUHM", "name": "Aderaw Tsegaye Aniteneh", "avatar": "https://talks.staging.osgeo.org/media/avatars/p_CdWPUtg.jpg", "biography": "I hold a B.Ed and an MA in Geography and Environmental Studies from Mekelle University and Addis Ababa University, Ethiopia, respectively. Currently, I am a climate and geospatial researcher with expertise in spatial analysis, climate modeling, and ecosystem management. My academic journey has also included serving as a lecturer in Geography at Jimma University and Wolkite University, where I contributed to advancing geospatial education and mentoring students. Beyond academia, I am an active member of OSM Ethiopia, dedicated to humanitarian mapping and promoting geospatial tools for community development. My work extends to community service, where I provide consultations and conduct various training programs to empower local communities with knowledge and skills.", "public_name": "Aderaw Tsegaye Aniteneh", "guid": "26ce968a-4150-5460-bb31-d072daae4ee1", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/HUPUHM/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZQM9AP/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZQM9AP/", "attachments": []}, {"guid": "59a39914-12df-5514-b396-ae71cfa5485f", "code": "XGLXVF", "id": 4244, "logo": null, "date": "2025-11-19T15:40:00+13:00", "start": "15:40", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4244-tracking-trash-mapping-marine-debris-using-earth-and-ocean-observations", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XGLXVF/", "title": "Tracking Trash: Mapping Marine Debris Using Earth and Ocean Observations", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Plastic pollution threatens Pacific ecosystems and livelihoods. The CleanSeas project uses Earth and ocean observation, machine learning, and on-ground validation to track marine debris across land, rivers, and sea. This presentation highlights DEP tools, showcasing how open data informs policy and enables targeted, cross-domain responses to pollution hotspots.", "description": "Plastic pollution and marine debris threaten marine ecosystems, fisheries, and livelihoods across the Pacific. But how do we track pollution pathways when they cross rivers, land, and sea? Enter the CleanSeas project; a collaborative effort leveraging Earth and ocean observation data to identify, track, and predict the movement of marine debris. This presentation dives into the methodology behind CleanSeas, including using SVM, Random Forest machine learning, the floating debris index and on-the-ground validation. We\u2019ll demonstrate how open data and tools from Digital Earth Pacific are being applied to identify pollution hotspots and inform policy responses. The session emphasizes the power of EO in driving tangible outcomes in marine pollution mitigation and the growing importance of cross-domain integration in environmental monitoring.", "recording_license": "", "do_not_record": false, "persons": [{"code": "WFDEZU", "name": "Kamsin Raju", "avatar": "https://talks.staging.osgeo.org/media/avatars/ID_Pic_C8QSTBA.jpg", "biography": "Kamsin is an environmental professional with expertise in GIS, climate change, and sustainable development. She has a strong academic background, including a Master\u2019s in Environmental Science, and experience in resilience planning, capacity building, and open-source initiatives. Kamsin currently works as the Earth Observation Technical Officer at the Pacific Community (SPC).", "public_name": "Kamsin Raju", "guid": "175cfac0-f1b8-5fec-860a-a7b94ace5076", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/WFDEZU/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XGLXVF/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XGLXVF/", "attachments": []}, {"guid": "d2496001-0be6-53d9-b1c0-6b6ee8659414", "code": "TSVGYJ", "id": 4353, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/TSVGYJ/gpudirect_storage_pipeline_Rsk4aIE.png", "date": "2025-11-19T15:45:00+13:00", "start": "15:45", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4353-gpu-native-zarr-optimizing-data-throughput-for-large-scale-geospatial-machine-learning-workflows", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TSVGYJ/", "title": "GPU-native Zarr: Optimizing data throughput for large-scale geospatial machine learning workflows", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Zarr is a cloud-native format, and now it can be GPU-native too! We address one of the main bottlenecks of geospatial machine learning, which is on the data loading stage. Let's see how we can read and decompress data from Zarr directly into GPU memory!", "description": "The Zarr format is used in the geosciences for storing time-series and multi-variate data, and was designed with parallel access in mind. Previously though, there was a bottleneck where data from storage disk had to go through an intermediate step of being loaded into CPU memory, before it is then copied to Graphical Processing Unit (GPU) memory. Now, with the proper [GPUDirect Storage (GDS)](https://docs.nvidia.com/gpudirect-storage/overview-guide/index.html) drivers configured, one can read and decode uncompressed data from storage into CUDA GPU device memory directly via [`kvikIO`](https://docs.rapids.ai/api/kvikio/stable) for lower latency. To get even more throughput, compressed data in Zarr can be sent directly to GPU memory, and decompressed in parallel using [`nvCOMP`](https://developer.nvidia.com/nvcomp) that works faster than CPU-based decompression algorithms. The result is a fully GPU-native pipeline where I/O latency is minimized by sending compressed data, and GPU utilization is maximized by having it do most of the processing. We'll show some benchmarks comparing the speedups from a CPU baseline to a fully GPU-native workflow, and show some extra tips and tricks on how to use these technologies for your next geospatial machine learning project!", "recording_license": "", "do_not_record": false, "persons": [{"code": "RTEKLC", "name": "Wei Ji Leong", "avatar": "https://talks.staging.osgeo.org/media/avatars/weiji_headshot_FXeqjOc.jpg", "biography": "Geospatial Data Scientist/[Machine Learning Engineer](https://developmentseed.org/team/weiji-leong) at [Development Seed](https://developmentseed.org), developing tools for cloud-native geospatial machine learning! Open source developer for Python libraries like [PyGMT](https://www.pygmt.org), maintainer of [pangeo-docker-images](https://github.com/pangeo-data/pangeo-docker-images) and conda-forge packages, and working on speeding up GeoTIFF parsing to GPUs via Rust crates like [cog3pio](https://crates.io/crates/cog3pio). Check out my profile on [GitHub](https://github.com/weiji14).", "public_name": "Wei Ji Leong", "guid": "d3ac2213-6327-5d4e-9fc7-92a4a9eb05a1", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/RTEKLC/"}], "links": [{"title": "Blog post on \"Accelerating AI/ML Workflows in Earth Sciences with GPU-Native Xarray, Zarr, DALI, and nvcomp\"", "url": "https://xarray.dev/blog/gpu-pipeline", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TSVGYJ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TSVGYJ/", "attachments": []}, {"guid": "c248699c-4427-5234-8081-135ccc0eee26", "code": "RYDKNA", "id": 4296, "logo": null, "date": "2025-11-19T15:50:00+13:00", "start": "15:50", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4296-state-of-the-eoapi", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RYDKNA/", "title": "State of the eoAPI", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "**eoAPI** is an open-source toolkit for building scalable Earth Observation applications. We discuss the state of core components like **pgSTAC**, **TiTiler**, and **STAC-FastAPI**, introduce new tools like **stac-auth-proxy** and **stac-manager**, and highlight recent infrastructure work in **AWS CDK** and **Kubernetes** for deploying production-ready services.", "description": "In 2023, Development Seed launched the eoAPI project - a growing collection of open-source tools and infrastructure aimed at making it easier to build, deploy, and scale modern Earth Observation (EO) applications. In this talk, we\u2019ll explore the current state of the ecosystem, highlight new developments, and share what\u2019s coming next.\r\n\r\nWe\u2019ll visit some of the core building blocks of eoAPI:\r\n\r\n- **[pgSTAC](https://github.com/stac-utils/pgstac)** - A performant, normalized STAC catalog backed by PostgreSQL\r\n- **[TiTiler](https://github.com/developmentseed/titiler)** - A dynamic tile server for Cloud Optimized GeoTIFFs and STAC Items\r\n- **[TiPg](https://github.com/developmentseed/tipg)** - A lightweight OGC API - Features implementation built on top of pgSTAC\r\n- **[STAC-FastAPI](https://github.com/stac-utils/stac-fastapi)** - A high-performance, pluggable STAC API built with FastAPI\r\n\r\nWe\u2019ll showcase some exciting new additions:\r\n\r\n- **[stac-auth-proxy](https://github.com/developmentseed/stac-auth-proxy)** - A flexible FastAPI-based proxy for adding authentication and authorization to any STAC API\r\n- **[stac-manager](https://github.com/developmentseed/stac-manager)** - A tool for orchestrating STAC metadata ingestion, validation, and management across pipelines\r\n\r\nFinally, we\u2019ll explore recent infrastructure efforts that support deploying and scaling these services:\r\n\r\n- **[eoAPI-CDK](https://github.com/developmentseed/eoapi-cdk)** - AWS CDK constructs for cloud-native eoAPI deployments\r\n- **[eoAPI-K8s](https://github.com/developmentseed/eoapi-k8s)** - Kubernetes Helm charts for containerized, production-grade deployments\r\n\r\nTogether, these tools form a modular, interoperable foundation for building next-generation EO platforms. Whether you\u2019re running a small data portal or a high-scale STAC service, eoAPI provides the pieces to get you up and running securely and efficiently.", "recording_license": "", "do_not_record": false, "persons": [{"code": "7HKBZZ", "name": "Anthony Lukach", "avatar": "https://talks.staging.osgeo.org/media/avatars/DSC02839-bw-headshot_EMDvdPR.jpg", "biography": "A cloud engineer @ DevelopmentSeed; working out of Nelson, British Columbia, Canada.", "public_name": "Anthony Lukach", "guid": "de56a08f-5964-5d17-80e5-b35c0911706a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7HKBZZ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RYDKNA/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RYDKNA/", "attachments": []}, {"guid": "52be7320-076e-586e-b0da-69f83a7faf45", "code": "QJBWMT", "id": 4379, "logo": null, "date": "2025-11-19T15:55:00+13:00", "start": "15:55", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4379-building-a-business-with-open-content-and-open-source-software", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QJBWMT/", "title": "Building a Business with Open Content and Open Source Software", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "This talk will take you through my journey of building Spatial Thoughts and share insights into what it takes to build a education business powered by open content and open-source ethos.", "description": "This talk will cover my 5-year journey into building [Spatial Thoughts](https://spatialthoughts.com/) - a learning platform for modern geospatial technologies. Based on the idea that learning should be accessible to all, I made a conscious choice to make all of our learning content open-source and available under a very liberal license. Not monetizing the content turned out to be an important decision, and while it may seem counterintuitive, it was key in powering the growth of the company. Hope this talk will inspire you to consider alternative business models and adopt the ethos of open-source software in your work.", "recording_license": "", "do_not_record": false, "persons": [{"code": "ATDGPE", "name": "Ujaval Gandhi", "avatar": "https://talks.staging.osgeo.org/media/avatars/ujaval_round_KYEFkgr.png", "biography": "Ujaval is the founder of [Spatial Thoughts](https://spatialthoughts.com/) - a learning platform for modern geospatial technologies. Ujaval got his Masters in Geospatial Information Engineering from the University of Wisconsin-Madison. After joining Google Inc. in California, he moved to India in 2006. He was one of the early employees at Google India and part of the team that launched Google Maps for India. He worked on multiple Geo teams at Google and led the GIS team in India.\r\n\r\nAfter 15 years of corporate experience, he left Google in 2020 to work on his startup - Spatial Thoughts - to create a learning platform to bridge the skill gap in the geospatial industry. His online academy has trained participants from over 100 countries. His learning materials on QGIS, Python, Earth Engine, and GDAL are cited as the top learning resources globally and are used by more than 1 million people every year.\r\n\r\nUjaval is a world-renowned training facilitator and is passionate about advancing the use of open-source technologies in teaching and research. He is an active QGIS community contributor and a QGIS.org certified training provider.", "public_name": "Ujaval Gandhi", "guid": "f79ce8ae-af5b-597b-8b13-0d9ed7095a65", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ATDGPE/"}], "links": [{"title": "Presentation", "url": "https://docs.google.com/presentation/d/1wTKNkFL3khmvw99VK5l2QEqoBGehB8eH61rlEzL9784/edit?usp=sharing", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QJBWMT/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QJBWMT/", "attachments": []}, {"guid": "77ed0ff7-3792-5b53-b659-b3f72eea30eb", "code": "PQJVKK", "id": 4211, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/PQJVKK/plot3_pentagon_noquad_AgPqNPc.png", "date": "2025-11-19T16:00:00+13:00", "start": "16:00", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4211-igeo7-and-dggrid-like-h3-but-an-equal-area-hexagonal-dggs-for-fairer-global-analysis", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PQJVKK/", "title": "IGEO7 and DGGRID - Like H3, but an Equal-Area Hexagonal DGGS for Fairer Global Analysis", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Uber H3 has revolutionized spatial indexing, but its cell sizes vary a lot. I will introduce IGEO7, an aperture 7 hexagonal equal-area DGGS with its hierarchical indexing system Z7. It is now implemented in the open-source software  DGGRID and has a handy Python wrapper, dggrid4py.", "description": "Uber's H3 has revolutionized spatial indexing, but its cells aren't equal-area, skewing global analyses and visualizations. What if you could have H3's elegant hierarchical indexing and true equal-area cells for statistically sound results?\r\n\r\nIGEO7 is a pure aperture 7 hexagonal DGGS with a hierarchical indexing system named Z7. It is implemented in the long-standing open-source DGGRID software and has a handy Python wrapper, dggrid4py.\r\n\r\n- https://dggrid.readthedocs.io/\r\n- https://github.com/sahrk/DGGRID\r\n- https://dggrid4py.readthedocs.io/\r\n- https://github.com/allixender/dggrid4py\r\n\r\nIn this talk, I'll shortly introduce IGEO7's capabilities and show how to use it with DGGRID and dggrid4py. Come see how you no longer have to choose between handy hexagon indexing and statistically sound analysis with open-source world.", "recording_license": "", "do_not_record": false, "persons": [{"code": "PQFYHP", "name": "Alexander Kmoch", "avatar": "https://talks.staging.osgeo.org/media/avatars/propic_Alexander_Kmoch_geog2_0fBoMB2.png", "biography": "Alex is an Associate Professor in Geoinformatics and a Distributed Spatial Systems Researcher with many years of experience in open-source geospatial data management and web- and cloud-based geoprocessing with a particular focus on land use, soils, hydrology, hydrogeology and water quality data. His interests include Discrete Global Grid Systems (DGGS), OGC standards and web-services for environmental and geo-scientific data sharing, modelling workflows and interactive geo-scientific visualisation.\r\n\r\nAlex completed a Marie Sk\u0142odowska-Curie Individual Fellow (MSCA) with our Landscape Geoinformatics working group on improving standardised data preparation, parameterization and parallelisation for hydrological and water quality modelling across scales and has now started a 5-year project on spatial modelling of soil properties using machine-learning.", "public_name": "Alexander Kmoch", "guid": "f982ce9d-e4ac-586d-ba7f-3c01bf216bb5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PQFYHP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PQJVKK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PQJVKK/", "attachments": []}, {"guid": "05e8167e-b0e2-55de-b266-85d060541f4a", "code": "MM3UUH", "id": 4394, "logo": null, "date": "2025-11-19T16:05:00+13:00", "start": "16:05", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4394-portable-cql2-a-rust-core-for-queries-everywhere", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MM3UUH/", "title": "Portable CQL2: A Rust Core for Queries Everywhere", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Explore how [**cql2-rs**](https://developmentseed.org/cql2-rs/), a compact Rust library for working with OGC CQL2 expressions, powers validation, conversion, and evaluation across environments \u2014 from Rust to CLI, Python, and WebAssembly \u2014 and how writing small, reusable Rust utilities can extend impact across languages and platforms.", "description": "[CQL2](https://www.ogc.org/standards/cql2/) is a powerful and flexible query language designed by the OGC to support advanced filtering and subsetting of geospatial data, particularly for features and records. It enables expression of complex spatial, temporal, and logical conditions in both text and JSON forms.\r\n\r\n[**cql2-rs**](https://developmentseed.org/cql2-rs/) is a Rust library built to work with CQL2 expressions. It provides tools to validate expressions, convert between text and JSON formats, combine multiple expressions, simplify logical trees, and evaluate expressions against JSON input. It is intended as a lightweight and reusable core for working with CQL2 in any setting.\r\n\r\nBecause it\u2019s written in Rust, `cql2-rs` can be exposed across many platforms and runtimes. Along with publishing a Rust crate for usage within the Rust ecosystem, we've published a [Python module](http://developmentseed.org/cql2-rs/latest/python/) via PyO3, a [command-line interface](https://developmentseed.org/cql2-rs/latest/cli/), and a [browser-based playground](https://developmentseed.org/cql2-rs/latest/playground/) using WebAssembly; all built from the same codebase.\r\n\r\nThis talk will highlight both the functionality of the library and the philosophy behind it: building small, focused Rust utilities that embrace composability and portability. Whether you're scripting, building APIs, or creating interactive tools, `cql2-rs` demonstrates how a single Rust core can power diverse workflows and tools.", "recording_license": "", "do_not_record": false, "persons": [{"code": "7HKBZZ", "name": "Anthony Lukach", "avatar": "https://talks.staging.osgeo.org/media/avatars/DSC02839-bw-headshot_EMDvdPR.jpg", "biography": "A cloud engineer @ DevelopmentSeed; working out of Nelson, British Columbia, Canada.", "public_name": "Anthony Lukach", "guid": "de56a08f-5964-5d17-80e5-b35c0911706a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7HKBZZ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MM3UUH/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MM3UUH/", "attachments": []}, {"guid": "2e73e567-4f63-5e21-b55c-3e3eb9f6ad35", "code": "LRSB8Z", "id": 4596, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/LRSB8Z/fieldteam_d6uEZ6b.jpg", "date": "2025-11-19T16:10:00+13:00", "start": "16:10", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4596-measuring-soil-moisture-with-gps-multipath-and-open-source-software", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LRSB8Z/", "title": "Measuring Soil Moisture With GPS Multipath and Open Source Software?", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "A summary of the GNSS-IR method and a discussion on the deployment of a low-cost, Raspberry Pi-based GNSS-IR system for field-scale soil moisture monitoring.", "description": "Can multipath be useful? An emerging measurement technique known as \"GNSS Interferometric Reflectometry\" turns this common source of positioning error into an environmental sensor. \r\n\r\nSee the gnssrefl package by Dr Kristine Larson: https://github.com/kristinemlarson/gnssrefl", "recording_license": "", "do_not_record": true, "persons": [{"code": "7QCNLV", "name": "George Townsend", "avatar": "https://talks.staging.osgeo.org/media/avatars/PXL_20251024_1024477702_LwxlPLl.jpg", "biography": "George is postgraduate researcher in electrical engineering and remote sensing at the University of Newcastle, Australia.", "public_name": "George Townsend", "guid": "48cd8fa8-ea5d-5672-bfb0-ea28256e333c", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7QCNLV/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LRSB8Z/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LRSB8Z/", "attachments": []}, {"guid": "9aab16d6-7c6a-5f95-ab0c-e15e4cc626cb", "code": "KXXMGV", "id": 4249, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/KXXMGV/IMG_4308_7KPyiA3.JPG", "date": "2025-11-19T16:15:00+13:00", "start": "16:15", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4249-the-pacific-geospatial-women-network", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KXXMGV/", "title": "The Pacific Geospatial Women Network", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "To provide geospatial mapping training and raise awareness on the use of geospatial tools to empower Pacific Women \u2014 including young women, women with disabilities, and women from outer islands  in mapping to access, utilize, and apply mapping resources for community development and decision-making.", "description": "The Pacific Geospatial Women Network (PGWN) is newly endorsed under the Oceans Management and Literacy Programme at the Pacific Community (SPC). This network reports to the Pacific Geospatial and Surveying Council (PGSC) and was established to promote women capacity in the field of Geospatial Science and Earth Observation (EO) in the Pacific. With the overarching goal of raising awareness, celebrating achievements, and most importantly, creating a support group for women in this field. \r\n\r\nIn 2024, the Pacific Geospatial Women Network (PGWN) successfully piloted its initiative with two local women\u2019s groups in Fiji: the Gusunituba Women\u2019s Group of Votua Village in Ba Province and the Daku Women\u2019s Group in Daku Village, Tailevu Province. Both groups are actively engaged in mangrove rehabilitation and agricultural initiatives, supported under the Jobs for Nature funding program administered by Fiji\u2019s Ministry of Economy. This pilot phase aimed to integrate geospatial capacity building into existing community-led environmental efforts. This work recognises that women and marginalised groups often face systemic barriers in accessing technology, technical training, and decision-making spaces. The initiative helps bridge the digital divide and promotes inclusive, equitable participation in climate resilience efforts.  by intentionally engaging women at different levels \u2014 including those from rural areas and with diverse abilities.\r\n\r\nGeospatial tools have become vital in addressing sustainable development challenges across the Pacific, and through its regional mandate, PGWN is working to ensure that women are not left behind in this digital and data-driven age. This includes access to hands-on learning, digital literacy, and the practical use of Earth Observation (EO) and mapping tools for decision-making, community planning, and environmental resilience. By equipping local women groups with these skills, PGWN is contributing to inclusive development efforts, ensuring that women are active participants in shaping their future and that of their communities.\r\n\r\nTo support these roles, PGWN is planning a tailored training and awareness programme for Kiribati Women in Mapping (KWIM) that promotes the integration of traditional knowledge with geospatial technology. This will not only empower local women but also support national and regional resilience efforts through inclusive data practices and adaptive community-led planning.\r\n\r\nAt the heart of this initiative lies the application of Geospatial Science and Earth Observation (EO). These tools allow for the collection, analysis, and visualization of spatial data, which is essential for mapping natural resources, land-use planning, and resource management. While the science is already well established in global contexts, the application in rural and local communities of the Pacific is still evolving.\r\nGeospatial technologies are being explored for community-led decision-making, particularly in the management of natural resources, waste disposal, and sustainable development. These tools enable local women to gather critical environmental data, empowering them to take an active role in their community's planning and development. \r\nWhile these technologies are powerful, their full potential is still being explored in Pacific contexts, especially for rural women who often have limited access to technical resources. PGWN aims to bridge this gap by providing capacity-building sessions and awareness campaigns to introduce geospatial tools to these communities. \r\nThe PGWN envisions further collaboration with universities, non-profits, and regional organizations to give additional opportunities to young women entering the geospatial field. One key initiative is creating internship opportunities for female graduates in geospatial science, offering them practical experience and industry exposure. By acting as a catalyst for women\u2019s success in geospatial science, PGWN aims to inspire more women to take leadership roles within STEM fields across the Pacific. Through capacity-building efforts, mentorship, and collaborative projects, the network continues to grow, paving the way for a more inclusive and sustainable future for women in the Pacific", "recording_license": "", "do_not_record": false, "persons": [{"code": "3LQRZK", "name": "Jacqueline Singh", "avatar": "https://talks.staging.osgeo.org/media/avatars/Image_94_7hwedOv.jpg", "biography": "I am a Geospatial Technical Assistant with the Climate and Ocean Support Program (COSPPac) at the Pacific Community (SPC), with a background in Geospatial Science and Land Management & Development, and I am currently pursuing a Postgraduate Diploma in Climate Change. My work involves supporting women in local communities in the Pacific by empowering them with data collection and participatory mapping to strengthen natural resource management.", "public_name": "Jacqueline Singh", "guid": "1743a1cc-fa10-52f8-a7f9-4693ce13055f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/3LQRZK/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KXXMGV/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KXXMGV/", "attachments": []}, {"guid": "ab48decb-7306-51e6-99a6-96fd5aabccc7", "code": "NDGHHA", "id": 4435, "logo": null, "date": "2025-11-19T16:20:00+13:00", "start": "16:20", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4435-predicting-greenhouse-damage-from-heavy-snowfall-in-south-korea-using-foss4g", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NDGHHA/", "title": "Predicting Greenhouse Damage from Heavy Snowfall in South Korea Using FOSS4G", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "We are developing a system to mitigate the risks posed by heavy snowfall.\r\nTo achieve this, we are using remote sensing data from South Korea's radar sensor.\r\nOur backend comprises GDAL, PostGIS and GeoServer.\r\nThe front end uses OpenLayers.\r\nThis system will enable us to predict damage to greenhouses", "description": ".", "recording_license": "", "do_not_record": false, "persons": [{"code": "JXGQXJ", "name": "Soonyeon Kim", "avatar": "https://talks.staging.osgeo.org/media/avatars/1%EA%B9%80%EC%88%9C%EC%97%B0_1_yGYgJr4.jpg", "biography": "CEO of the HermeSys.co.kr", "public_name": "Soonyeon Kim", "guid": "89122eff-3f83-5ed6-929d-ad896379a32b", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/JXGQXJ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NDGHHA/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NDGHHA/", "attachments": []}, {"guid": "8c7e3be6-1555-5940-8e36-e65f8bc61d0b", "code": "G9WDHR", "id": 4719, "logo": null, "date": "2025-11-19T16:30:00+13:00", "start": "16:30", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4719-re-earth-building-the-open-geospatial-data-platform-for-everyone", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/G9WDHR/", "title": "Re:Earth Building the Open Geospatial Data Platform for Everyone", "subtitle": "", "track": "Keynote", "type": "Keynote", "language": "en", "abstract": "Re:Earth is an open-source WebGIS platform designed to make publishing, sharing, and using geospatial data open and sustainable. This talk highlights current challenges in the geospatial ecosystem\u2014fragmentation, vendor lock-in, and massive data complexity\u2014and shows how open technologies can build shared digital public goods for everyone.", "description": "Open data is growing, yet still fragmented, inconsistent, and often locked behind proprietary systems. In this talk, we introduce Re:Earth\u2014an open-source WebGIS platform designed to become the open data platform. We explore the challenges facing today\u2019s geospatial ecosystem, why open source and open data principles must guide the next generation of digital infrastructure, and how Re:Earth enables anyone to host, share, and use spatial data freely. Join us as we discuss how open, sustainable, community-driven platforms can become true digital public goods.", "recording_license": "", "do_not_record": false, "persons": [{"code": "ZW9NLN", "name": "Hidemichi Baba", "avatar": "https://talks.staging.osgeo.org/media/avatars/profile_U6uwMHn.jpeg", "biography": "Web and GIS developer.", "public_name": "Hidemichi Baba", "guid": "7a9e77d8-730a-54e5-abeb-9758bb82629a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ZW9NLN/"}, {"code": "Y7FMR3", "name": "Hinako Iseki", "avatar": "https://talks.staging.osgeo.org/media/avatars/twitter_icon_Vhvafh3.jpg", "biography": "GIS engineer at Eukarya, from Japan. \r\nBoard member of OSGeo Japan Chapter.", "public_name": "Hinako Iseki", "guid": "7d62334a-a8f7-5e72-b043-b087d09caaa3", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/Y7FMR3/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/G9WDHR/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/G9WDHR/", "attachments": []}], "WG308 TE IRINGA": [{"guid": "6e68318c-fa66-582c-a31a-cb5042c12cc0", "code": "A9JR8Y", "id": 4226, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/A9JR8Y/MapLibre_nz_Uk5Q4Uw.png", "date": "2025-11-19T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4226-maplibre-from-data-to-tile-rendering-in-one-status-update", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/A9JR8Y/", "title": "MapLibre - from data to tile rendering, in one status update", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "Presenting everything MapLibre community has been working on, including tile serving, fonts and sprite handling, to visualizations for both web and native, to new types of tools and format standards.", "description": "This talk will cover all aspects of MapLibre efforts - the open source non-profit delivering the ubiquitous map rendering engine plus all tooling to convert data into interactive maps.  The engine is used by organizations of every size, from tiny one person sites to Meta, AWS, and Microsoft as their primary map rendering engine.  Come learn of the products we are developing, the new features we are excited about, the challenges and success, and the collaboration with the FOSS community and companies of all sizes.", "recording_license": "", "do_not_record": false, "persons": [{"code": "VXXFNW", "name": "Yuri Astrakhan", "avatar": "https://talks.staging.osgeo.org/media/avatars/Yuri_Astrakhan_pic_EhgISQs.jpg", "biography": "MapLibre founder, active open source contributor and advocate, one of the initial developers of Wikipedia platform, former principle engineer at Elastic, now at Rivian working on maps, Rust, and other fun things.", "public_name": "Yuri Astrakhan", "guid": "18f9c306-9ff3-5dfd-9c00-15530351092b", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/VXXFNW/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/A9JR8Y/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/A9JR8Y/", "attachments": []}, {"guid": "3cd88cc6-adec-5b3b-8c37-3e8dce4553ce", "code": "7BVH97", "id": 4467, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/7BVH97/wildfire_spread_prediction_foss4g2025_gaia3d_UnD4P7p.png", "date": "2025-11-19T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4467-ai-powered-wildfire-spread-prediction-system-using-open-source-geospatial-technologies", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7BVH97/", "title": "AI-Powered Wildfire Spread Prediction System Using Open Source Geospatial Technologies", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "An application case of combining open-source technology and AI to develop a Wildfire Spread Prediction platform that supports on-site decision-making.", "description": "The frequency and intensity of wildfires are increasing globally due to climate change impacts, and the Republic of Korea is no exception. Particularly during spring seasons, the combination of dry weather and strong winds leads to large-scale wildfires, resulting in national disasters.\r\n\r\nIn March 2025, simultaneous large-scale wildfires that broke out across South Korea were recorded as one of the worst in the nation\u2019s history, burning approximately 100,000 hectares of forest an area 1.7 times the size of Seoul, the capital city. It lasted nine days before it was fully extinguished due to strong winds with maximum instantaneous wind speeds of over 25 m/s, making it extremely difficult to extinguish.\r\n\r\nTo effectively respond to these large-scale wildfires, which are difficult to predict and cause immense damage, it is essential to have technology that can analyze and predict their paths by receiving real-time data on the three key elements of wildfire spread: topography, fuel, and weather.\r\n\r\nAccordingly, we have developed a system that improves upon existing services based on empirical algorithms, precisely predicting wildfire spread using AI deep learning technology. The system processes and analyzes real-time data on the three elements of wildfire spread and utilizes open-source technology to predict, analyze, and visualize the path and speed of the fire.\r\n\r\nWe have actively utilized a proven open-source tech stack\u2014including QGIS, PostGIS, GeoServer, OpenLayers, and CesiumJS\u2014to implement an integrated development environment that covers everything from the analysis of prediction data to its 2D and 3D visualization.\r\n\r\nIn this presentation, we aim to introduce a practical case study where this technological foundation was used to effectively support on-site decision-making during wildfire events.\r\n\r\n---\r\n\r\nThis study was carried out with the support of 'R&D Program for Forest Science Technology '(Project No. \"RS\")' provided by Korea Forest Service(Korea Forestry Promotion Institute).", "recording_license": "", "do_not_record": false, "persons": [{"code": "NKTGGU", "name": "Hanjin Lee", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_5341_Un6j9z2.JPG", "biography": "Hanjin Lee is a GIS Developer at the Gaia3D Inc. He has been working on application development and education using open source GIS for many years. Worked in data processing, visualization, and communicating information intuitively. More recently, he's been interested in GeoAI and hopes to use it to develop applications that capitalize on emerging technology trends.", "public_name": "Hanjin Lee", "guid": "e752a552-706f-5bc7-ac31-dcd646aaca77", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NKTGGU/"}, {"code": "HMWH8F", "name": "Hyeeun Ahn", "avatar": null, "biography": "SW Developer (Gaia3D corp, Inc)", "public_name": "Hyeeun Ahn", "guid": "7a87b9b7-68fd-55e2-893c-719b888d8393", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/HMWH8F/"}, {"code": "TFZZX3", "name": "Sungeun Cha", "avatar": null, "biography": null, "public_name": "Sungeun Cha", "guid": "a408e4cf-bf73-54c9-90f1-d6166ad488a1", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/TFZZX3/"}, {"code": "E8RG8W", "name": "Hyun-Woo Jo", "avatar": "https://talks.staging.osgeo.org/media/avatars/%EC%A1%B0%ED%98%84%EC%9A%B0_1MIRm8D.jpg", "biography": "Hyun-Woo Jo is a Research Professor at the OJEong Resilience Institute of Korea University and a Postdoctoral Fellow at the International Institute for Applied Systems Analysis (IIASA). He received his B.S. in Environmental Science and Ecological Engineering and his Ph.D. in Environmental Planning and Landscape Architecture from Korea University in 2018 and 2023, respectively.\r\nHis research focuses on integrating remote sensing and deep learning in agriculture and forestry, with a strong emphasis on combining domain-specific knowledge with machine-learnable models. In 2022, Dr. Jo was selected for the prestigious IIASA Young Scientists Summer Program (YSSP), where his project on optimizing IIASA\u2019s FLAM wildfire model for Korean conditions earned an honorable mention. He later expanded this work by embedding process-based wildfire algorithms into neural networks as part of his doctoral research.\r\nDr. Jo has also developed AI models for crop and land cover monitoring using satellite data, with a focus on cross-regional generalization through transfer learning. These techniques have been tested in South Korea and applied to international contexts, and the results were presented at NeurIPS Workshop on Climate Change and AI.\r\nHe is also interested in building user-friendly software tools for AI-driven environmental analysis, such as Platform Dryad, which supports scalable modeling and decision support in ecological systems.", "public_name": "Hyun-Woo Jo", "guid": "763301d8-c10a-5129-a178-88592245a42b", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/E8RG8W/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7BVH97/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7BVH97/", "attachments": []}, {"guid": "cd52d9c7-7a73-5af9-8ea1-acb0bd9e15ad", "code": "XTRPMG", "id": 4331, "logo": null, "date": "2025-11-19T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4331-smart-vineyards-with-qgis-qfield", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XTRPMG/", "title": "Smart vineyards with QGIS & QField", "subtitle": "", "track": "Desktop GIS & Data Collection", "type": "Talk", "language": "en", "abstract": "When passion for wine meets GIS expertise, QField \ud83c\udf47\ud83d\udcbb becomes the foundation for intelligent vineyard management.\r\n\r\nDiscover the story of Jojo\u2019s Vineyard: Advanced QGIS symbology, map themes, and data capture combine to create an optimal tool for digital vineyard management.\r\n\r\nCould this be the future of (Q)wine in Aotearoa?", "description": "In this presentation, you will be hearing the storry of OPENGIS.ch and Ian Beecher Jones \u2013 a passionate British winemaker -  who co-developed an open-source workflow that will allow wineries to fully manage, document, plan, and monitor their operations using QGIS.\r\n\r\nQField is the central tool for data collection in the vineyard \u2013 from mapping stakes to using modern map themes. This makes efficient vineyard management and \"smart farming\" incredibly easy.\r\n\r\nYou'll see how assigning attributes, defining zones, and integrating spatial data optimize planning and harvesting \u2013 even before the first grapes are picked.\r\n\r\nCurious about how precise location data can transform vineyard management? Discover how QGIS and QField can be used simply and effectively in viticulture \u2013 and what that can mean for vineyards in Aotearoa, too.", "recording_license": "", "do_not_record": false, "persons": [{"code": "8VUFRV", "name": "Marco Bernasocchi", "avatar": "https://talks.staging.osgeo.org/media/avatars/094d5f0768ac7ead78be67b37dffe778_yJmXEAG.jpg", "biography": "Marco Bernasocchi is an open-source advocate, entrepreneur and full-stack geoninja. He is the creator of QField for QGIS, currently serves as QGIS.org Chair, and is an Open Source Geospatial Foundation board member. In his day job, Marco is the CEO of OPENGIS.ch, which he founded in 2011.\r\n\r\nA geographer by trade, Marco lives in a small Romansh-speaking mountain village in Switzerland, where he loves scrambling around the mountains to enjoy the feeling of freedom it gives him. Outgoing, flexible and open-minded, Marco fluently speaks five languages. The best thing is: He not only knows how to say it but also loves sharing his know-how.", "public_name": "Marco Bernasocchi", "guid": "00b3a94c-7e92-536b-a523-23e3d6f35d31", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8VUFRV/"}, {"code": "PESSWX", "name": "Berit Mohr", "avatar": "https://talks.staging.osgeo.org/media/avatars/Berit_Mohr_Kreis_8eTbusr.png", "biography": "Berit Mohr is a passionate GIS enthusiast and advocate for open-source software. In October 2024, she joined OPENGIS.CH as a GIS specialist, where she advises, trains, and manages small and big projects.\r\nHaving lived in New Zealand for 10 years, she has had the chance to gain extensive experience across academia, the private sector, and development cooperation. Berit brings a global perspective to her work enhancing her talent for teaching and translating across languages.\r\nIn her free time, Berit enjoys exploring the outdoors with her bike, tending her garden, and hiking in the mountains, spending every possible moment in nature.", "public_name": "Berit Mohr", "guid": "47c7f1e2-7abf-5c66-974a-78217c153c5d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PESSWX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XTRPMG/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XTRPMG/", "attachments": []}, {"guid": "f97802f9-0c65-5009-b876-f7bb4d5157a0", "code": "XQUEXG", "id": 4219, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/XQUEXG/Screenshot_2025-11-19_103858_tlncsx0.png", "date": "2025-11-19T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4219-creating-3d-printed-landscape-models-with-foss", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XQUEXG/", "title": "Creating 3D Printed Landscape Models with FOSS", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "A behind the scenes look at how a kiwi cartographer uses QGIS, Blender, and Cura Slicer to turn elevation data into 3D printed landscape models.", "description": "This talk explores the workflow behind crafting detailed 3D printed landscape models using free and open-source software. From raw elevation data to tangible terrain, attendees will get an inside look at how QGIS is used to scope and prepare elevation datasets, how geometry nodes and modifiers are used to dynamically create 3D geometry in Blender, and how Cura Slicer is used to prepare the digital 3D model for printing.\r\n\r\nThis presentation draws from real-world projects by a New Zealand based cartographer working at the intersection of geospatial data and physical modelling. It will discuss challenges like terrain generalization, tile-based printing, and design for both aesthetic and functional outcomes. Whether you're into 3D printing, terrain visualisation, or just love seeing geospatial data come to life, this session offers practical insight and inspiration for mappers and makers alike.", "recording_license": "", "do_not_record": false, "persons": [{"code": "7GUW8S", "name": "James Ford", "avatar": null, "biography": null, "public_name": "James Ford", "guid": "89d2ea45-c9e3-5498-a147-116544935842", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7GUW8S/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XQUEXG/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XQUEXG/", "attachments": []}, {"guid": "86d9ea3b-1716-59c9-8daa-f484fcf1c10a", "code": "JHA9NZ", "id": 4225, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/JHA9NZ/foss4g_2025_aMzkBTL.png", "date": "2025-11-19T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4225-workflow-automation-with-qgis-case-studies-and-tips", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JHA9NZ/", "title": "Workflow Automation with QGIS: Case Studies and Tips", "subtitle": "", "track": "Desktop GIS & Data Collection", "type": "Talk", "language": "en", "abstract": "This talk will do a deep-dive into QGIS Model Designer for building fast, automated and reproducible workflows. We will cover real-world use cases and share tips to help you leverage the no-code framework provided by QGIS.", "description": "The talk will feature real-world case studies showcasing how the QGIS Model Designer was used to automate complex workflows for a variety of use cases.\r\n\r\nQGIS processing framework offers Model Designer as the no-code solution for analysts looking to automate their work. These tools allow you to take hundreds of native and 3rd party processing algorithms and build workflows for spatial analysis and map publishing.\r\n\r\nThe talk will showcase lessons learnt from real-world projects and how you can apply those to your own work. Join to discover how you can leverage QGIS to automate your spatial workflows.", "recording_license": "", "do_not_record": false, "persons": [{"code": "ATDGPE", "name": "Ujaval Gandhi", "avatar": "https://talks.staging.osgeo.org/media/avatars/ujaval_round_KYEFkgr.png", "biography": "Ujaval is the founder of [Spatial Thoughts](https://spatialthoughts.com/) - a learning platform for modern geospatial technologies. Ujaval got his Masters in Geospatial Information Engineering from the University of Wisconsin-Madison. After joining Google Inc. in California, he moved to India in 2006. He was one of the early employees at Google India and part of the team that launched Google Maps for India. He worked on multiple Geo teams at Google and led the GIS team in India.\r\n\r\nAfter 15 years of corporate experience, he left Google in 2020 to work on his startup - Spatial Thoughts - to create a learning platform to bridge the skill gap in the geospatial industry. His online academy has trained participants from over 100 countries. His learning materials on QGIS, Python, Earth Engine, and GDAL are cited as the top learning resources globally and are used by more than 1 million people every year.\r\n\r\nUjaval is a world-renowned training facilitator and is passionate about advancing the use of open-source technologies in teaching and research. He is an active QGIS community contributor and a QGIS.org certified training provider.", "public_name": "Ujaval Gandhi", "guid": "f79ce8ae-af5b-597b-8b13-0d9ed7095a65", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ATDGPE/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JHA9NZ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JHA9NZ/", "attachments": []}, {"guid": "a16d28f3-3d54-5e8b-98af-9e8f38cf1b16", "code": "U8AGYU", "id": 4416, "logo": null, "date": "2025-11-19T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4416-a-digital-twin-of-80km-of-streetscapes-with-foss4g-sure", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/U8AGYU/", "title": "A Digital Twin of 80km of streetscapes, with FOSS4G? Sure!", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "Melbourne\u2019s tram network is considering Mobility Aid Lifts for wheelchair access from street level on selected routes. We scanned and processed 80km or routes with OS only in an ROS sensor framework with cloud-optimised data processing to detect stops and simulate MAL deployments.", "description": "A hero story, featuring, COTS sensors, ROS, COPC, machine learning and friends. It can be done!", "recording_license": "", "do_not_record": false, "persons": [{"code": "R9LS9R", "name": "Martin  Tomko", "avatar": "https://talks.staging.osgeo.org/media/avatars/tomko_profile_small_A0sNCt7.jpeg", "biography": "I am a spatial information scientist from the University of Melbourne. I use and teach with FOSS4G, and never have done otherwise.", "public_name": "Martin  Tomko", "guid": "d81766f0-d625-53a4-86b4-7f7c3df6327c", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/R9LS9R/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/U8AGYU/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/U8AGYU/", "attachments": []}, {"guid": "84b45cff-25b2-51be-b44f-e7ffcef1cf9b", "code": "NCTETY", "id": 4221, "logo": null, "date": "2025-11-19T15:30:00+13:00", "start": "15:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4221-open-source-solution-for-topographic-data-production", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NCTETY/", "title": "Open Source Solution for Topographic Data Production", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "National Land Survey of Finland has developed Topograhic Data Production System mainly based on Open Source solutions. Most important components are PostGIS, QGIS and QField. The production started successfully in April 2025.  This is very exceptional use case how National Mapping Agency is updating Topographic database.", "description": "This talk will discuss\r\n- the main features of the new solution, especially data management, feature editing and quality tools\r\n- experiences during the development\r\n- experiences in the production", "recording_license": "", "do_not_record": false, "persons": [{"code": "E98BYH", "name": "Risto Ilves", "avatar": "https://talks.staging.osgeo.org/media/avatars/naama_WZP7gBa.jpg", "biography": "The Head of Development for Topographic Data Production at the National Land Survey of Finland.", "public_name": "Risto Ilves", "guid": "ed9d34b9-696e-5956-bc8c-411d4b2ae1ad", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/E98BYH/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NCTETY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NCTETY/", "attachments": []}, {"guid": "6bd9d05b-1d43-5654-9ac0-076a22b7e456", "code": "F8BZXS", "id": 4424, "logo": null, "date": "2025-11-19T16:00:00+13:00", "start": "16:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4424-ai-coding-and-the-future-of-open-source-geospatial-software", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/F8BZXS/", "title": "AI Coding and the Future of Open-Source Geospatial Software", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "AI may push open-source geospatial software toward fragmentation or stronger, well-governed cores. This talk looks at how AI now \u2014 and fully automated code generation in the future \u2014 could reshape collaboration, trust, and the enduring value of geospatial expertise.", "description": "AI-assisted programming is quickly changing how developers write, test, and maintain code. This talk looks at how AI coding tools could push the open-source ecosystem in two directions at once: making it easier than ever to generate new tools or forks, risking fragmentation and short-lived projects, while also creating strong incentives to build core software with higher quality and thorough documentation that AI agents can build on.\r\n\r\nWe\u2019ll look at how AI programming is being used, what developers and maintainers think today, and why deep subject matter expertise \u2014 especially in the geospatial domain \u2014 is likely to stay vital even as routine coding work becomes easier to automate.  How can the FOSS4G community adapt to keep open-source geospatial software resilient and trusted in an AI-driven era?", "recording_license": "", "do_not_record": false, "persons": [{"code": "W8MQ89", "name": "Matthew Hanson", "avatar": "https://talks.staging.osgeo.org/media/avatars/a69872d70b97e337c047d8ecbcbc1721_9pXlOo0.jpg", "biography": "Matthew Hanson is a Director at Element 84, where he leads teams developing cloud-native solutions for managing and delivering geospatial and Earth observation data. He is a long-time advocate for open-source geospatial software and open standards, with deep involvement in the development and adoption of STAC (SpatioTemporal Asset Catalog) and related tooling. 2025 marks his 11th FOSS4G, reflecting his commitment to collaboration, community building, and pushing the geospatial ecosystem forward through practical, modern data workflows.", "public_name": "Matthew Hanson", "guid": "34571de8-ba9d-535a-8911-1af18c5fe91f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/W8MQ89/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/F8BZXS/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/F8BZXS/", "attachments": []}], "WG126": [{"guid": "a47f377a-8bb4-53fd-beb6-dc25a520486a", "code": "QX3ARG", "id": 4587, "logo": null, "date": "2025-11-19T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4587-developing-a-live-map-of-spatial-access-to-health-services-in-aotearoa-new-zealand", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QX3ARG/", "title": "Developing a \u2018live\u2019 map of spatial access to health services in Aotearoa New Zealand", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "To develop a real-time model that incorporates current road conditions to estimate spatial access to health services daily, at the address level.", "description": "Title: \r\nDeveloping a \u2018live\u2019 map of spatial access to health services in Aotearoa New Zealand\r\nMitchell Pincham1 , Marcus Blake2, Sam Quinsey2 & Jesse Whitehead*1\r\n\r\n1 Te Ngira: Institute for Population Research, University of Waikato, New Zealand \r\n2 Centre of Australian Research into Accessibility, Deakin Rural Health, Deakin University, Australia\r\n\r\nPresenting author *Corresponding author: jesse.whitehead@waikato.ac.nz\r\n\r\nAims: \r\nTo develop a real-time model that incorporates current road conditions to estimate spatial access to health services daily, at the address level.\r\n\r\nMethods: \r\nNational Highway road-closure data was collected from the New Zealand Transport Agency Application Programming Interface. Data about local road closures was scraped from local council websites. A road network from Open Street Maps was modified by removing any closed highways or local roads. The distance from each address in the Manawataki Health Region, through this new road network, to the nearest Hospital was calculated. The program was automated to run each day in January, using current road conditions for that day to estimate hospital accessibility.\r\n\r\nResults: \r\nDaily estimates of hospital accessibility were successfully automated, with variations in spatial accessibility over time noted. However, the importance of data quality for the accuracy of this model is paramount. Reporting structures and formats meant that data obtained from some local councils was found to be imprecise or unreliable at times.\r\nConclusions: This approach shows potential for quickly estimating access to health services under changing road conditions, such as during and after extreme weather events. NZTA and local councils should be encouraged to work together to improve the reporting of road closures.", "recording_license": "", "do_not_record": false, "persons": [{"code": "QQSVVP", "name": "Jesse Whitehead", "avatar": null, "biography": null, "public_name": "Jesse Whitehead", "guid": "c6cb1125-cb60-544e-a792-c54437e66caa", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/QQSVVP/"}, {"code": "UGDZUS", "name": "Mitchell Pincham", "avatar": null, "biography": null, "public_name": "Mitchell Pincham", "guid": "9c4585c8-bcd8-5e93-966a-5676efd24b6f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/UGDZUS/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QX3ARG/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QX3ARG/", "attachments": []}, {"guid": "f96ab957-bc99-5714-9f4d-810998b2e7b0", "code": "VUAJZK", "id": 4334, "logo": null, "date": "2025-11-19T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4334-state-of-mago3dtiler-mago3dterrainer-open-source-tools-for-standards-based-digital-twins", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VUAJZK/", "title": "State of mago3DTiler & mago3DTerrainer: Open-Source Tools for Standards-Based Digital Twins!", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "I will present the current state of mago3DTiler and mago3DTerrainer.\r\n\r\nmago3DTiler is a Java-based OGC\u202f3D\u202fTiles creator that has gained wide adoption thanks to its flexibility, high performance, and extensive format support. \r\n\r\nmago3DTerrainer is a Java-based quantized-mesh terrain generator designed specifically for Cesium Terrain Tiles.", "description": "mago3DTiler (https://github.com/Gaia3D/mago-3d-tiler) is a Java-based OGC\u202f3D\u202fTiles creator that has gained wide adoption thanks to its flexibility, high performance, and extensive format support. It handles over ten 3D formats (CityGML, 3DS, OBJ, FBX, glTF, Collada DAE, IFC/BIM, LAS/LAZ, SHP) and features on-the-fly CRS conversion for seamless integration. It can convert 2D data into extruded 3D Tiles. Additionally mago3DTiler optimizes large point clouds and reality mesh data for smooth web visualization. \r\n\r\nmago3DTerrainer (https://github.com/Gaia3D/mago-3d-terrainer) is a Java-based quantized-mesh terrain generator designed specifically for Cesium Terrain Tiles. It efficiently converts GeoTIFFs into high-precision quantized-mesh data with customizable settings (depth range, tile size, interpolation method) and supports batch processing .\r\n\r\n1. mago3DTiler Key Features\r\n- On-the-fly CRS (Coordinate Reference System) transformation during tile generation\r\n- Extrusion of 2D features into 3D using height attributes\r\n- Support for massive point clouds (e.g., full-scale city level datasets)\r\n- Attribute handling for intensity and classification in point clouds\r\n- Photogrammetry (Reality Model) data conversion\r\n- Reality mesh data optimization with new triangle reduction and geometry simplification algorithms\r\n- Mesh quantization for improved rendering performance\r\n- Instance-based LOD implementation (e.g., trees and forest data rendering with scalable detail)\r\n- 3D Tiles 1.1 compatibility: unified GLB support across .b3dm, .i3dm, and .pnts\r\n- Tileset merging: generate parent tilesets from multiple input tilesets\r\n\r\n2. mago3DTerrainer Key Features\r\n- Easy and flexible conversion of GeoTIFFs into quantized mesh\r\n- High accuracy mesh generation\r\n- Batch conversion of multiple GeoTIFFs\r\n- Detailed customization options (e.g., tile depth, size, interpolation)\r\n- Priority handling for overlapping GeoTIFFs based on resolution\r\n- Enhanced support for large-scale GeoTIFFs and diverse CRS transformations\r\n- Large area conversion (e.g., verified conversion of nationwide DEM datasets)\r\n\r\nThese tools enable seamless integration of various spatial datasets into digital twin platforms based on OGC 3D Tiles and Quantized Mesh standards. Through continuous improvements and real-world applications, such as national digital twin projects and high-resolution environmental simulations, mago3DTiler and mago3DTerrainer are helping advance the open geospatial ecosystem.\r\n\r\nJoin this session to explore how open-source tools can simplify complex geospatial workflows and empower developers and users to build smarter, scalable 3D digital twins.\r\n\r\n<Acknowledgments> This work is supported by the Korea Agency for Infrastructure Technology Advancement(KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant RS-2025-02317649, NTIS Grant: 2610000447)", "recording_license": "", "do_not_record": false, "persons": [{"code": "Z8DMDB", "name": "Sanghee Shin", "avatar": "https://talks.staging.osgeo.org/media/avatars/Sanghee_2_yZmun7d.jpg", "biography": "Mr. Sanghee Shin is the founder and CEO of Gaia3D, an geospatial software company in Korea. He studied Environmental GIS at Seoul National University and Business Administration at KAIST (Korea Advanced Institute of Science and Technology). With over 20 years of experience in global open-source initiatives, he chaired the International FOSS4G 2015 Seoul conference and served on the board of the OSGeo (Open Source Geospatial) Foundation for two years. He is a passionate advocate for open-source, open standards, and open data. He currently leads the mago3D project, a web-based digital twin platform for managing and visualizing various spatial data, simulations, and modeling results. His primary interests include open-source, GeoBIM, digital twins, and smart cities.", "public_name": "Sanghee Shin", "guid": "d40d518d-19df-5886-abf5-fa8638f7dd69", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/Z8DMDB/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VUAJZK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VUAJZK/", "attachments": []}, {"guid": "dc4b4356-78ad-5d50-b82b-55d35c07d738", "code": "LNJDKL", "id": 4421, "logo": null, "date": "2025-11-19T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4421-earthquakes-to-everyday-how-an-open-geospatial-ecosystem-supports-new-zealand-s-lifeline-infrastructure-and-national-resilience", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LNJDKL/", "title": "Earthquakes to Everyday: How an Open Geospatial Ecosystem Supports New Zealand\u2019s Lifeline Infrastructure and National Resilience", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Born from Christchurch\u2019s earthquake recovery, an open geospatial platform supports everyday coordination of lifeline infrastructure. Built on federated data, open access, and stewarded by a public-good foundation, it embeds resilience into daily planning and enables smarter, faster responses to natural hazards and infrastructure disruption.", "description": "In New Zealand, resilience isn\u2019t optional. \r\n\r\nWith earthquakes, landslides, and storms a part of life here in New Zealand, building and maintaining resilient infrastructure is as much about foresight as it is about recovery. What if the tools we need in emergencies were already in everyday use? What if we didn\u2019t have to build new systems during  a crisis because they were already in place? \r\n\r\nThat\u2019s the idea behind a growing set of open, federated geospatial tools that are transforming how infrastructure is planned, built, and maintained across Aotearoa. \r\n\r\nThe 2011 Christchurch earthquakes fractured the city \u2013 literally and organisationally. As agencies mobilised to rebuild, coordination quickly became a critical issue. Who was working where? Which projects were clashing? How could a city be rebuilt efficiently when no one had the full picture? \r\n\r\nTo answer these questions, the National Forward Works Viewer (NFWV) was born \u2013 a shared map of all planned civil works. It helped teams from multiple organisations to coordinate timeframes, reduce clashes, and avoid rework. It was built fast, out of necessity \u2013 but it worked, and saved tens of millions in avoidable costs. From that crucible, the idea emerged that this shouldn\u2019t be a one-time fix. It should be the new normal. \r\n\r\nToday, the NFWV is no longer a recovery tool. It\u2019s used by over 500 organisations including councils, utility providers, and transport agencies \u2013 as part of their daily operations. Whether it's resurfacing roads, replacing pipes, laying fibre, or planning major events like marathons and parades, the Forward Works Viewer helps agencies see each other\u2019s plans and work together. \r\n\r\nBut the NFWV is just the beginning.  \r\n\r\nIt\u2019s part of a growing ecosystem of open, geospatial tools. Alongside the NFWV are two other national tools, which have been built not to hoard data \u2013 but to connect it. \r\n\r\nOne of these tools is the New Zealand Underground Asset Register (NZUAR), which brings visibility to what lies beneath our cities. Piloted in Wellington NZ, it federates subsurface utility data into a common schema giving planners and contractors visibility of underground pipes and cables. It helps prevent asset strikes, protects lives, and improves the information that asset owners receive from the field. Just like the NFWV, it operates on the principle that better decisions come from shared, trusted information \u2013 especially when it\u2019s about what can\u2019t be seen. \r\n\r\nThe third tool is the upcoming National Geospatial Catalogue, which federates critical contextual data \u2013 like ground conditions, contamination risks, heritage overlays, and more \u2013 into a searchable map layer available alongside the NFWV and NZUAR. Instead of scattered datasets across siloed agencies, the catalogue will create a nationwide view of risks and constraints that affect infrastructure delivery and resilience planning. \r\n\r\nTogether, these three tools \u2013 NFWV, NZUAR, and the Geospatial Catalogue \u2013 form a shared picture of digital infrastructure for Aotearoa. All are built on open-source geospatial software, chosen for its interoperability, transparency, and freedom from licensing barriers. But this openness isn\u2019t just a technical choice \u2013 it\u2019s a civic principle. public data, public tools, and public infrastructure should be available for public good. \r\n\r\nThat\u2019s why these platforms are governed by the Digital Built Aotearoa Foundation (DBAF) \u2013 a charitable trust formed in 2023 to steward this ecosystem of open data. DBAF operates on a cost-recovery model, reinvesting any surplus into improving the tools, building new features, and keeping subscription costs low. Its independence means it can act as a neutral, non-commercial custodian of data shared between public and private actors \u2013 fostering collaboration, not competition. \r\n\r\nThe Foundation\u2019s work has been recognised by the NZ Infrastructure Commission as addressing a problem of national importance - and now included on their Infrastructure Priorities Programme for further investigation. The digital ecosystem is also supporting the National Emergency Management Agency (NEMA) in the development of a pilot national electricity outage map to improve emergency readiness and response. These are not side projects \u2013 they are signs that this ecosystem is becoming core national infrastructure. \r\n\r\nAnd crucially, the model is scalable. None of the tools require centralised databases. Instead, they use data federation and schema alignment to map disparate datasets into a unified view. Organisations retain their own data and control, while contributing to a greater whole. This is what makes the system work \u2013 technically, politically, and culturally. \r\n\r\nThe map-based user-friendly design makes them accessible to all users \u2013 allowing organisations to spatialise their data, validate inputs, and generate insights without needing complex software or deep expertise. It brings the power of spatial analysis to non-spatial users, which in turn improves data quality and engagement across the board. \r\n\r\nNew Zealand\u2019s story is a global one in disguise. Every country faces infrastructure challenges. Every community faces disasters, whether acute or slow-moving. But the lesson from Aotearoa is this: if we build the right tools for emergency response, and we embed them into everyday workflows, then we build resilience every day \u2013 even when the ground isn\u2019t shaking. \r\n\r\nFor the FOSS4G community, this is a story of what\u2019s possible when open-source meets public need. It\u2019s about designing systems that are federated, open, and governed in the public interest. And it\u2019s about recognising that disaster resilience is not a feature \u2013 it\u2019s an outcome of everything we do. \r\n\r\nThis presentation will take the audience on the journey of how Digital Built Aotearoa\u2019s open geospatial ecosystem evolved from emergency response into essential national infrastructure. It will explore why open principles, federated data, and public-good governance were critical design choices, and how these tools enable coordination across hundreds of organisations without centralising control. The presentation will also discuss the real-world technical and organisational challenges of building federated systems at national scale, including schema design, data standardisation, and stakeholder trust. Finally, it will reflect on New Zealand\u2019s unique context of frequent natural disasters and how this shaped the foundational thesis: systems built for disaster recovery must be pre-embedded in everyday infrastructure planning to deliver true resilience. The underlying principles of openness, federation, and public stewardship, which are widely transferable, offer a model for other jurisdictions looking to improve infrastructure delivery, emergency readiness, and cross-sector collaboration.", "recording_license": "", "do_not_record": false, "persons": [{"code": "NASNN3", "name": "Alistair McIntyre", "avatar": "https://talks.staging.osgeo.org/media/avatars/Alistair-McIntyre-1_hutfdV2.png", "biography": "Alistair McIntyre has a background in Software Design, Development and Operations, focused mostly on geospatial software. As part of his role at Open Plan he is the Principal Development and Operations Engineer, focused on ensuring that the software we build is resilient, scalable and well designed.", "public_name": "Alistair McIntyre", "guid": "1069d0d6-ce57-5e31-beec-2f76568c1d2b", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NASNN3/"}, {"code": "A8DTX3", "name": "Angus Bargh", "avatar": null, "biography": "Angus Bargh is the founder of Open Plan \u2013 an organisation which provides advice and support to public sector agencies and councils based on the learnings from the recovery and regeneration of Christchurch following the 2011 Christchurch and 2016 Kaikoura earthquakes. Angus works with agencies across New Zealand to enhance their programme delivery capabilities and brings a system approach to the delivery of large infrastructure programmes \u2013 focusing on data and spatial systems. This includes leadership of the technology platform owned by Digital Built Aotearoa Foundation \u2013 this includes the NZ Forward Works Viewer and the NZ Underground Asset Register.\r\n\r\nAngus is the former Chief Transport Planner for the Canterbury Earthquake Recovery Authority (CERA) tasked with leading the multi-agency team rebuilding the transport network in Central Christchurch. Angus is a chartered professional and international engineer (CPEngNZ, IntPE). Prior to this chief planning role, he was part of the leadership team for the engineering infrastructure alliance tasked with the $2.8b rebuild of Christchurch\u2019s essential infrastructure following the 2011 earthquake. Between 2012 and 2014 his role was to ensure the city kept moving while the city-wide programme of infrastructure repairs progressed. Angus was a recipient of the Prime Ministers\u2019 Business Scholarship in 2012.", "public_name": "Angus Bargh", "guid": "be62cf9a-047f-51a5-8433-a5c91f5958a2", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/A8DTX3/"}], "links": [{"title": "DBAF Product Catalog", "url": "https://na2.hubs.ly/H01kys60", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LNJDKL/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LNJDKL/", "attachments": []}, {"guid": "7c300bce-c97a-53b1-be33-3412cc5ec45d", "code": "VKQQSY", "id": 4230, "logo": null, "date": "2025-11-19T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4230-state-of-terriajs", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VKQQSY/", "title": "State of TerriaJS", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "TerriaJS is an open-source framework for web-based geospatial catalogue explorers. It uses Cesium and Leaflet, and it supports over 50 different Web APIs and file formats. In this talk, we will cover the background of TerriaJS, its current state, new features, and future plans for the project.", "description": "TerriaJS is an open-source framework for web-based geospatial catalogue explorers.\r\n\r\nIt uses Cesium and Leaflet to visualise 2D and 3D geospatial data, and it supports over 50 different Web APIs, file formats and open data portals.\r\n\r\nIt is almost entirely JavaScript in the browser, meaning it can even be deployed as a static website, making it simple and cheap to host.\r\n\r\nTerriaJS is used across the globe to create next-generation Digital Twin Platforms for open geospatial data discovery, visualisation and sharing - it is used to drive\r\n\r\n- [Digital Earth Australia Map](https://maps.dea.ga.gov.au/)\r\n- [Digital Earth Africa Map](https://maps.digitalearth.africa/)\r\n- [Pacific Map (Digital Earth Pacific)](https://map.pacificdata.org/)\r\n- [VIC Spatial Digital Twin](https://vic.digitaltwin.terria.io/) (Australian State Gov)\r\n- [Tokyo Digital Twin](https://info.tokyo-digitaltwin.metro.tokyo.lg.jp/)\r\n- and many others\r\n\r\nIn this talk, I will give:\r\n\r\n- Background information about TerriaJS and how it is used by the community\r\n- Current state of the project for users, developers and wider community\r\n- New features\r\n- Future plans!\r\n\r\nFor more information about Terria:\r\n\r\n- https://terria.io/\r\n- https://github.com/TerriaJS/terriajs", "recording_license": "", "do_not_record": false, "persons": [{"code": "FTNNNP", "name": "Nick Forbes-Smith", "avatar": "https://talks.staging.osgeo.org/media/avatars/Nick_02-10-24White_CZZggFb.jpg", "biography": "Open source software engineer building geospatial web open data platforms. FOSS4G and OSGeo advocate.", "public_name": "Nick Forbes-Smith", "guid": "b8220981-c429-5d47-88f2-2b575f80a397", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/FTNNNP/"}, {"code": "8F7QQF", "name": "Michael Holmes", "avatar": "https://talks.staging.osgeo.org/media/avatars/970568FB-C9DC-4FE6-A3BD-A8C6B07674B7-1653-000000C447EDE48C_qXRr8EM.jpg", "biography": "Geospatial Software Engineer with a background in spatial data processing and visualisation. Passionate about open source technology and spatial research.", "public_name": "Michael Holmes", "guid": "c140617e-be9f-5a67-8056-53fbe34b1ebb", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8F7QQF/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VKQQSY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VKQQSY/", "attachments": []}, {"guid": "8a9170d9-0dc9-5205-8896-8e965311b915", "code": "HUAWWF", "id": 4439, "logo": null, "date": "2025-11-19T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4439-state-of-un-smart-maps-group", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HUAWWF/", "title": "State of UN Smart Maps Group", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "UN Smart Maps Group is testing new technologies for future geospatial operations. This presentation showcase the latest advancements in the UNVT POD (Portable on Demand) and FOIL4G (Free and Open Information Library for Geospatial), integrating Tippecanoe, MapLibre GL JS, go-pmtiles, and Martin with Generative AI and classic UNIX utilities.", "description": "The UN Smart Maps Group advances geospatial innovation within the UN Open GIS Initiative as Domain Working Group 7. The group tests emerging technologies including Generative AI, Distributed Web, and IoT devices for future geospatial operations. This presentation showcases recent developments in UNVT POD and FOIL4G projects, demonstrating how FOSS4G tools integrate with cutting-edge technologies to democratize geospatial information access.\r\n\r\nThe group operates on three fundamental pillars: Openness, Collaboration, and Innovation. The organization embraces a philosophy of open by default, leveraging open-source technologies, open practices, and open communities to democratize access to geospatial information. Central to this approach is the recognition that AI has become an integral collaborator in the work, with the understanding that we must be prepared to welcome sufficiently advanced AI as collaborators in the near future.\r\n\r\nThe UN Vector Tile Toolkit Portable on Demand (UNVT POD) represents a paradigm shift in geospatial infrastructure deployment. Built on Raspberry Pi technology and utilizing FOSS4G tools including Tippecanoe for vector tile generation, MapLibre GL JS for visualization, and Martin for tile serving, UNVT POD creates map servers that operate independently of traditional internet infrastructure. Key capabilities include edge computing that enables high-speed response in remote areas, offline-first design that maintains functionality without network connectivity, solar power compatibility that supports sustainable operation in energy-limited environments, and community management systems that can be operated and maintained by local personnel without specialized technical knowledge. \r\n\r\nThe Free and Open Information Library for Geospatial (FOIL4G) integrates Generative AI capabilities with traditional UNIX tools and FOSS4G technologies to create an intelligent geospatial information processing system. \r\n\r\nThe group's exploration of Distributed Web (DWeb) technologies, particularly IPFS (InterPlanetary File System), addresses critical challenges in geospatial data sharing and preservation. This approach enables decentralized data storage and distribution, enhanced resilience against network disruptions, reduced bandwidth requirements for large geospatial datasets, and improved data sovereignty for local communities.\r\n\r\nThe technical solutions are built on cloud-native principles while maintaining the ability to operate in completely disconnected environments. The architecture emphasizes microservices design with modular components that can be deployed independently, API-first approach ensuring interoperability with existing systems, and GitOps methodology for transparent and collaborative development processes.\r\n\r\nThis presentation will demonstrate live deployments of technologies and invite the FOSS4G community to engage with initiatives. The combination of proven open-source tools with emerging technologies like AI and DWeb creates unprecedented opportunities for democratizing geospatial information access and empowering communities worldwide. The UN Smart Maps Group's work exemplifies how international organizations can leverage community-driven innovation to address global challenges while maintaining the open principles that make geospatial technology accessible to all.", "recording_license": "", "do_not_record": false, "persons": [{"code": "WFYVSX", "name": "Hidenori Fujimura", "avatar": "https://talks.staging.osgeo.org/media/avatars/291758c0c209bde10f952531c1221a54_BnweF4u.jpg", "biography": "I'm an engineer passionate about geospatial technology and international development \u2764\ufe0f\u200d\ud83d\udd25\r\n\r\n\ud83d\uddfa\ufe0f I lead the UN Smart Maps Group, the seventh domain working group under the UN Open GIS Initiative.\r\n\ud83d\ude80 I also lead the Quick Mapping Project, a collaboration between JICA and OpenStreetMap.\r\n\ud83e\udde9 I specialize in vector tiles and portable, distributed mapping, such as UNVT POD.\r\n\ud83c\udf10 I serve as Senior Advisor on Geospatial Information for JICA. I have supported 12+ international development projects.", "public_name": "Hidenori Fujimura", "guid": "33ed9af3-af94-58a8-a729-c3ece6eac89d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/WFYVSX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HUAWWF/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HUAWWF/", "attachments": []}, {"guid": "16247219-5dfb-5f04-9d60-e3ef36759d7d", "code": "AFDPVX", "id": 4437, "logo": null, "date": "2025-11-19T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4437-state-of-jica-quick-mapping-project-qmp", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AFDPVX/", "title": "State of JICA Quick Mapping Project (QMP)", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "Japan International Cooperation Agency (JICA) is implementing a co-creation, innovation and circulation initiative for updating its development cooperation by adding geospatial data on OpenStreetMap. This presentation will introduce the use of open source tools developed for OpenStreetMap to create maps useful for activities in JICA.", "description": "The Japan International Cooperation Agency (JICA) Quick Mapping Project (QMP) represents a initiative that transforms development cooperation through OpenStreetMap utilization. JICA is developing a new map procurement service model that delivers essential mapping solutions within 2 weeks to 2 months. This co-creation, innovation and circulation initiative renews how development agencies access geospatial information for urgent project needs.\r\n\r\nQMP's new approach treats mapping as a service rather than a lengthy project. This paradigm shift enables JICA to rapidly respond to urgent development needs by leveraging OpenStreetMap's collaborative platform and open-source tools specifically developed for OpenStreetMap data handling. The 2-week to 2-month delivery timeframe makes geospatial information accessible for time-sensitive development interventions, disaster response, and infrastructure planning.\r\n\r\nCentral to QMP's mission is the systematic enhancement of OpenStreetMap with development-relevant geospatial data. This approach involves strategic data addition through identifying gaps in OpenStreetMap and systematically filling them with development-focused information. Community participation ensures that all contributions work within OpenStreetMap's collaborative framework and align with community standards. Sustainability efforts focus on building local capacity to maintain and update contributed data over time.\r\n\r\nQMP utilizes a comprehensive suite of open-source tools specifically designed for OpenStreetMap data manipulation and visualization. Visualization and distribution utilize Tippecanoe for generating vector tiles from OpenStreetMap data, PMTiles for efficient serverless map tile distribution, MapLibre GL JS for creating interactive web maps from OSM data, Martin for serving vector tiles and providing robust map APIs, and MapLibre GL JS for lightweight map interfaces. \r\n\r\nThis presentation will demonstrate live workflows using the complete open-source toolchain, showcase real-world mapping outputs, and invite community collaboration on tool development and methodology refinement. QMP represents a model for leveraging OpenStreetMap in development cooperation, and the presentation seeks community input on technical innovations and partnership opportunities. QMP demonstrates that thoughtful integration of OpenStreetMap with development practice can create transformative outcomes for both the global mapping community and development effectiveness, proving that open data and open tools can drive meaningful social impact at scale.", "recording_license": "", "do_not_record": false, "persons": [{"code": "WFYVSX", "name": "Hidenori Fujimura", "avatar": "https://talks.staging.osgeo.org/media/avatars/291758c0c209bde10f952531c1221a54_BnweF4u.jpg", "biography": "I'm an engineer passionate about geospatial technology and international development \u2764\ufe0f\u200d\ud83d\udd25\r\n\r\n\ud83d\uddfa\ufe0f I lead the UN Smart Maps Group, the seventh domain working group under the UN Open GIS Initiative.\r\n\ud83d\ude80 I also lead the Quick Mapping Project, a collaboration between JICA and OpenStreetMap.\r\n\ud83e\udde9 I specialize in vector tiles and portable, distributed mapping, such as UNVT POD.\r\n\ud83c\udf10 I serve as Senior Advisor on Geospatial Information for JICA. I have supported 12+ international development projects.", "public_name": "Hidenori Fujimura", "guid": "33ed9af3-af94-58a8-a729-c3ece6eac89d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/WFYVSX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AFDPVX/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AFDPVX/", "attachments": []}, {"guid": "8640c7cd-e616-5906-82c3-07cc335c6767", "code": "3ZXDGP", "id": 4289, "logo": null, "date": "2025-11-19T15:30:00+13:00", "start": "15:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4289-cloud-native-spatial-data-ecosystem-in-the-rise-of-the-national-geospatial-data-center-of-timor-leste", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3ZXDGP/", "title": "Cloud-native spatial data ecosystem in the rise of the National Geospatial Data Center of Timor-Leste", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "The National Center for Geospatial Data (CNDG) of Timor-Leste is implementing a spatial data ecosystem using cloud-native technologies in an experimental basis. Application of go-pmtiles, Tippecanoe, MapLibre GL JS, Martin, and GitHub Pages are introduced with some support from geospatial unit of Japan International Cooperation Agency (JICA).", "description": "The National Center for Geospatial Data (CNDG) of Timor-Leste is implementing a spatial data ecosystem using cloud-native technologies in an experimental basis. This project aims to enhance the accessibility and usability of geospatial data in Timor-Leste. The application of Free and Open Source Software for Geospatial (FOSS4G), such as go-pmtiles, Tippecanoe, MapLibre GL JS, and Martin, and developer platforms like GitHub will facilitate efficient geospatial data management and visualization, with support from the geospatial unit of Japan International Cooperation Agency (JICA).\r\n\r\nThe project is designed to address the current challenges faced by Timor-Leste in managing and utilizing geospatial data. By leveraging cloud-native technologies, CNDG aims to create a scalable and flexible ecosystem that can handle large volumes of data and provide real-time access to geospatial information by everyone, especially by the partner organizations in the Government of Timor-Leste, among other development partners for the country. The use of go-pmtiles and Tippecanoe will enable efficient data processing and storage, while MapLibre GL JS and Martin will provide powerful tools for data visualization and analysis. GitHub Pages will serve as a platform for sharing and collaborating on geospatial data and applications in a cost-effective manner.\r\n\r\nWith the support of JICA's geospatial unit and its consultant teams, CNDG is exploring innovative approaches to improve the quality and accessibility of geospatial data in Timor-Leste. This collaboration aims to build local capacity and foster sustainable development through the use of advanced geospatial technologies. The project is expected to have a significant impact on various sectors, including urban planning, environmental management, disaster response, and infrastructure development.\r\n\r\nCNDG has implemented LiDAR survey and spatial mapping of Timor-Leste since 2014. Based on the Decree law no. 68/2023 September 14th article 15, CNDG has the following responsibilities: collecting, organizing, managing, producing, and disseminating geospatial information base and thematic. CNDG maintains GNSS CORS network and conducted several UAV survey projects. Future plans include tide gauge projects. CNDG has an ongoing project with JICA in topographic map creation for Dili and surrounding area.\r\n\r\nFor example, go-pmtiles will be used to efficiently process and store large volumes of geospatial data, enabling quick access and retrieval of information. Tippecanoe will facilitate the creation of vector tiles, which are essential for high-performance map rendering. MapLibre GL JS will be employed to visualize geospatial data in an interactive and user-friendly manner, allowing users to explore and analyze the data effectively. Martin will provide a robust backend for serving geospatial data, ensuring reliable and scalable access to information. GitHub Pages will serve as a collaborative platform, enabling stakeholders to share and contribute to geospatial data and applications.\r\n\r\nThe project is expected to result in significant improvements in urban planning, environmental management, disaster response, and infrastructure development in Timor-Leste. By providing real-time access to accurate and up-to-date geospatial information, the project will enable better decision-making and resource allocation, ultimately contributing to the sustainable development of the region.", "recording_license": "", "do_not_record": false, "persons": [{"code": "WFYVSX", "name": "Hidenori Fujimura", "avatar": "https://talks.staging.osgeo.org/media/avatars/291758c0c209bde10f952531c1221a54_BnweF4u.jpg", "biography": "I'm an engineer passionate about geospatial technology and international development \u2764\ufe0f\u200d\ud83d\udd25\r\n\r\n\ud83d\uddfa\ufe0f I lead the UN Smart Maps Group, the seventh domain working group under the UN Open GIS Initiative.\r\n\ud83d\ude80 I also lead the Quick Mapping Project, a collaboration between JICA and OpenStreetMap.\r\n\ud83e\udde9 I specialize in vector tiles and portable, distributed mapping, such as UNVT POD.\r\n\ud83c\udf10 I serve as Senior Advisor on Geospatial Information for JICA. I have supported 12+ international development projects.", "public_name": "Hidenori Fujimura", "guid": "33ed9af3-af94-58a8-a729-c3ece6eac89d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/WFYVSX/"}, {"code": "3CGVUV", "name": "Ernesto dos Santos", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG20240422105424_DkbAV6G.JPG", "biography": "I am currently working as a GIS Specialist with the Government of Timor-Leste, where I support national geospatial initiatives and spatial data infrastructure development. Previously worked as a GIS and Remote Sensing Data Analyst at the Geology and Petroleum Institute of Timor-Leste from 2014 to 2018. I hold a Master's degree in Geographic Information Systems (GIS) from the University of Otago, New Zealand (graduated in 2020), and a Bachelor's degree in Geodesy from Institut Teknologi Nasional Malang, Indonesia. My professional interests include geospatial data analysis, management, web mapping, Remote sensing, and national geospatial data infrastructure (NGDI) development.", "public_name": "Ernesto dos Santos", "guid": "b32947d5-f1dd-5ea8-a2f5-fe4b0bd211c2", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/3CGVUV/"}, {"code": "EUAFV3", "name": "Dinis Yosep Belo", "avatar": "https://talks.staging.osgeo.org/media/avatars/JICA_J4RRZmm.jpg", "biography": "Currently working at National Geospatial Data Center Under Ministry of Planning and Strategic Investment Timor-Leste", "public_name": "Dinis Yosep Belo", "guid": "eff02ac2-2ba2-5511-8772-52775e73fd86", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/EUAFV3/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3ZXDGP/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3ZXDGP/", "attachments": []}, {"guid": "b577f108-8ffe-539d-98f2-6f12425202b9", "code": "GEJKD8", "id": 4180, "logo": null, "date": "2025-11-19T16:00:00+13:00", "start": "16:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4180-early-action-starts-with-local-data-role-of-osm-in-community-preparedness", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GEJKD8/", "title": "Early Action Starts with Local Data, Role of OSM in Community Preparedness", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "In Tanzania, OMDTZ, CartONG, and  Emergency-Response Team built a community-led dashboard using OSM and local knowledge. Instead of high-tech sensors, they used phones, maps, and local insights to collect data. Session shows how anticipatory action starts with trusted community input, enabling faster, informed disaster preparedness and response.", "description": "In disaster prone urban areas like Dar es Salaam, acting early can save lives. But anticipatory action requires localized, trustworthy, and community validated data. This talk explores how OpenMap Development Tanzania (OMDTZ),in partnership with CartONG and in collaboration with the Dar es Salaam Mult Agency Emergency Team (DarMAERT), developed a community dashboard powered by OpenStreetMap (OSM) data to support local early warning and preparedness.\r\n\r\nInstead of relying solely on remote sensing or expensive early warning technology, this initiative focused on local knowledge and low cost open tools. Community members, especially youth and local leaders, were trained to map key risk features (flood hotspots, drainage points, safe shelters) using ODK tools.\r\n\r\nAt the core of the project is the DarMAERT Dashboard, a custom-built platform using OSM data to visualize high risk areas and inform decisions to rescue teams. It allows for, monitoring flood-prone zones with locally collected risk indicators and prioritizing emergency response based on exposure and vulnerability\r\n\r\nMore than 45 community members, including 15 local leaders and elders, were engaged in training. Their involvement ensured the data\u2019s relevance and accuracy, while also building community ownership of the results. For example, ten-cell leaders and the elderly helped identify hidden flood-prone zones and accessible evacuation paths that were not evident in satellite imagery through participatory mapping \r\n\r\nThis presentation explores how local leaders, youth, and first responders collaborated to produce real time, actionable data focusing on flood preparedness. By combining mobile data collection, maps, and a digital dashboard, the project will enable DarMAERT to anticipate risks and act earlier, not just respond after a disaster.\r\n\r\nThis session will offer key takeaways:\r\n-How community-generated OSM data can inform local early warning\r\n-The role of local leaders in validating and sustaining open data\r\n-Challenges in low-tech anticipatory systems and how we addressed them\r\n-How to turn maps into tools for local governance and advocacy", "recording_license": "", "do_not_record": false, "persons": [{"code": "KLX3S3", "name": "Asha Mustapher", "avatar": "https://talks.staging.osgeo.org/media/avatars/Asha_mustapher_profile_picture_vI7Pfqu.jpeg", "biography": "Asha Mustapher is a Community Engagement Lead at OpenMap Development Tanzania, specializing in community mapping, data collection, capacity building, and partnership using open source tools. She is passionate about empowering communities, training local communities and leaders on technology-driven data collection tools to enhance decision making. Through her work, Asha strives to foster innovation, youth development, and positive community impact.", "public_name": "Asha Mustapher", "guid": "472c3a62-2e20-5349-8250-3d4cfe62e7de", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KLX3S3/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GEJKD8/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GEJKD8/", "attachments": []}], "WA220": [{"guid": "6404c4bf-9780-5abd-aac4-a8ce2a6be570", "code": "BUHEKS", "id": 4339, "logo": null, "date": "2025-11-19T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4339-faster-simpler-access-to-cloud-based-geospatial-data-with-obstore", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BUHEKS/", "title": "Faster, simpler access to cloud-based geospatial data with Obstore", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Obstore is the simplest, highest-throughput Python interface to Amazon S3, Google Cloud Storage, Azure Storage. This talk will explain what Obstore is, how it differs from existing Python libraries for cloud data access, and how it's being used to speed up cloud-based geospatial workflows.", "description": "[Obstore](https://developmentseed.org/obstore/latest/) is a Python library that abstracts how to access data on commercial cloud storage providers, like Amazon S3, Google Cloud Storage, and Azure Storage. Instead of writing code for each provider and manually creating the abstractions, use Obstore\u2019s singular API for data access.\r\n\r\nWhile at its face Obstore is similar to [fsspec](https://github.com/fsspec/filesystem_spec)\u2014they both provide abstracted interfaces to cloud storage\u2014Obstore presents some core improvements:\r\n\r\n- Minimal API with native synchronous and asynchronous support.  \r\n- Fast with no Python dependencies: obstore wraps the Rust `object_store` library, meaning that your Python environment stays small and you won\u2019t face dependency conflicts.  \r\n- Streaming downloads, uploads, and listings without manual pagination.  \r\n- Full type hinting for easier use in Python IDE environments.  \r\n- Simple access to [NASA Earthdata](https://developmentseed.org/obstore/latest/api/auth/earthdata/) and [Microsoft Planetary Computer](https://developmentseed.org/obstore/latest/api/auth/planetary-computer/) data collections with **automatic credential refreshing** when short-lived tokens expire.\r\n\r\nWhile Obstore is a foundational technology that can be used across many domains, this talk will focus on its use in geospatial-related projects: \r\n\r\n- [Zarr](https://zarr.dev/)\\-Python introduced an [Obstore-based backend](https://zarr.readthedocs.io/en/latest/api/zarr/storage/index.html#zarr.storage.ObjectStore) that can be [3x faster than the default fsspec-based backend](https://github.com/maxrjones/zarr-obstore-performance) when reading Zarr datasets. \r\n- [VirtualiZarr](https://github.com/zarr-developers/VirtualiZarr), a library to present non-cloud-native file formats like netCDF as virtual Zarr datasets, is being rewritten to use Obstore by default. \r\n- [Async-tiff](https://github.com/developmentseed/async-tiff), a fast, asynchronous, Python TIFF, GeoTIFF, and Cloud-Optimized GeoTIFF reader, uses Obstore under the hood to power its data fetching. \r\n- A [new Python GeoParquet library](https://geoarrow.org/geoarrow-rs/python/latest/api/io/geoparquet/) uses Obstore as well.\r\n\r\nThis talk will explain what Obstore is, how it differs from existing Python libraries, and how you might use it in your own projects to speed up your own data access.", "recording_license": "", "do_not_record": false, "persons": [{"code": "LYUBSM", "name": "Kyle Barron", "avatar": "https://talks.staging.osgeo.org/media/avatars/dca7f43205de8dee5dfce1a6faaedfd8_AMOJrt5.jpg", "biography": "Kyle is a cloud engineer at Development Seed. He builds open source tools and infrastructure that process and visualize geospatial data. Kyle is particularly excited about cloud-native vector data formats, speeding up Python and JavaScript applications from Rust, spatial indexes, and efficient data pipelines.\r\n\r\nBefore joining Development Seed, Kyle previously worked as a software engineer at Unfolded and then Foursquare, building geospatial data visualizations on the web for vector and raster data.\r\n\r\nBased in New York City, Kyle spends time running in Central Park, exploring the city, and dodging tourists. Kyle is a graduate of University of California, Los Angeles where he received a B.A. in Economics with a minor in Mathematics.", "public_name": "Kyle Barron", "guid": "b7ee3f79-9370-557a-9955-63adc40f9179", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LYUBSM/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BUHEKS/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BUHEKS/", "attachments": []}, {"guid": "4089cccf-6cb3-561b-b729-b051eb5753ea", "code": "B8PSGF", "id": 4350, "logo": null, "date": "2025-11-19T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4350-the-fellowship-of-the-map-open-mapping-for-climate-action-disaster-preparedness-and-building-a-new-generation-of-gurus", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/B8PSGF/", "title": "The Fellowship of the Map: Open Mapping for Climate Action, Disaster Preparedness, and Building a New Generation of Gurus", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "Inspired by the Fellowship of the Ring, this talk shares how youth and community mappers across Asia-Pacific are rising as Open Mapping Gurus. Learn how regional collaboration, inclusive leadership, and open tools are transforming climate action and disaster preparedness\u2014one map, one mentor, and one movement at a time.", "description": "What if we could harness the spirit of The Fellowship of the Ring, but for mapping? Imagine a network of passionate youth and community leaders united by a single purpose: to use open mapping for real-world impact\u2014disaster preparedness, climate action, and community resilience.\r\n\r\nThis session dives into the Open Mapping Guru Network\u2014a powerful fellowship of mappers, activists, and mentors across Asia-Pacific, where the maps they create don\u2019t just track roads or buildings\u2014they chart a future of resilience, inclusion, and hope. We'll explore The Origin of the Fellowship: How the Open Mapping Guru Network was born and how it has grown into a cross-border network that empowers youth leaders, supports local communities, and builds strong partnerships. How mappers from different walks of life are using tools like Tasking Manager, MapSwipe, KoboToolbox, and more to respond to climate crises, map disaster-prone areas, and create safe spaces. From the humble beginnings of a mapper to a leader, mentor, and community builder\u2014hear stories of Gurus making a difference in their communities and in the open mapping movement. The power of community solidarity, mentorship, and peer learning in growing the open mapping movement. Why collaboration, not isolation, is key to long-term impact.", "recording_license": "", "do_not_record": false, "persons": [{"code": "MXTSM8", "name": "MIKKO TAMURA", "avatar": "https://talks.staging.osgeo.org/media/avatars/W8J3SL_aZFc3OP_PfmuM7I.jpg", "biography": "Mikko Tamura is a community builder, open mapping advocate, and humanitarian geospatial leader based in the Philippines. He is the founder of MapBeks, a volunteer-driven initiative that champions inclusive mapping for the LGBTQ+ community and people living with HIV (PLHIV). Mikko currently serves as the Community Manager for the Open Mapping Hub \u2013 Asia Pacific at the Humanitarian OpenStreetMap Team (HOT), where he leads regional strategies to strengthen grassroots mapping leadership, digital inclusion, and local data empowerment.\r\n\r\nWith over a decade of experience in digital mapping, community engagement, and humanitarian response, Mikko has led multiple award-winning projects, including the LGBT Safe Spaces Map and the HIV Support Facilities Map. He was the 2022 Gender Equity and Inclusion Champion at the World Geospatial Awards and is the first Filipino to win the Distinction Award at the ASEAN Geospatial Challenge.\r\n\r\nMikko\u2019s work focuses on harnessing Volunteered Geographic Information (VGI) to amplify the voices of underrepresented groups and drive community-led solutions in times of crisis and beyond. He is passionate about using maps to make invisible communities visible\u2014and believes that every map is a story of people helping people.", "public_name": "MIKKO TAMURA", "guid": "77dc3509-53f0-5a3f-b66d-dfc3508c9c3a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/MXTSM8/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/B8PSGF/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/B8PSGF/", "attachments": []}, {"guid": "b03ffe17-6bc8-5c6b-bb1b-357e3e08a70e", "code": "LPCJRL", "id": 3732, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/LPCJRL/FOSS4G_logo_yFmDe0O.png", "date": "2025-11-19T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-3732-improving-climate-data-delivery-and-visualisation", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LPCJRL/", "title": "Improving Climate Data Delivery and Visualisation", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "I am Harris Hudson and I aim to put climate, weather, and earth science, data directly into the hands of the everyday person. This discussion follows my research and recommendations regarding the future of visualisation of NetCDF Climate and Forecast gridded data.", "description": "Some GIS (Geographic Information System) technologists present today may remember maps before they became 'slippy'. But young or old, we should now question some prior assumptions that shaped the current GIS web ecosystem. Considering its evolution \u2013 based on prior learning and precedents \u2013 I suggest we re-examine some of the premises underlying NetCDF gridded data. Are legacy OGC (Open Geospatial Consortium) or tiling services really the best abstractions for delivery of NetCDF or gridded data?\r\n\r\nThe following discussion also provides insights into my development of a front-end renderer. I will also briefly mention delivery mechanism services such as TDS (THREDDS - Thematic Real-time Environmental Distributed Data Server) Subsetting Service. These delivery mechanisms, coupled with modern devices and networks, allow us to explore contemporary, timely and scalable ways of delivering and viewing data that have the potential to improve the end-user experience.  \r\n\r\nFollowing are some live demonstrations for your consideration.\r\n\r\nMy findings are especially useful to custodians, publishers and climate/earth data researchers who seek better alternatives of delivery and visualisation of this important information. If nothing else, my suggestions will help broaden audiences by delivering important data into the hands of the everyday person. \r\n\r\nAnd for the technologists present today, I will share some limitations encountered during my journey and possible future directions. Who knows? Perhaps you can also contribute.\r\n\r\nSee Also;\r\n\r\n- [CFRender - Github Code Repo](https://github.com/harrishudson/CFRender)\r\n- [Vista Manifest - Github Code Repo](https://github.com/harrishudson/VistaManifest)\r\n- [Demonstration Website - vistamanifest.com](https://vistamanifest.com)\r\n- [Short recordings of demonstration website](https://harrishudson.com/vistamanifest_examples/)\r\n- [Summary of Presentation](https://harrishudson.com/FOSS4G2025/HarrisHudson_talk_THREDDS3.odp)\r\n- [Bio](https://harrishudson.com)", "recording_license": "", "do_not_record": false, "persons": [{"code": "H9H3GX", "name": "Harris Hudson", "avatar": "https://talks.staging.osgeo.org/media/avatars/harris_medium_NFDVhoJ.jpg", "biography": "Retired IT professional (after a 36 year career) working in the database/web/GIS/Spatial domains for various governments and private industries mainly in Australia and the USA.", "public_name": "Harris Hudson", "guid": "5ed0e47a-529e-5eaf-9c76-b78159cd3f8a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/H9H3GX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LPCJRL/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LPCJRL/", "attachments": []}, {"guid": "2d9f6650-816f-5430-814f-0c7fe5a22985", "code": "LHCTKU", "id": 4347, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/LHCTKU/Abstract_Figure_1B3pjiC.png", "date": "2025-11-19T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4347-1-aep-current-and-future-climate-flood-maps-for-aotearoa-new-zealand", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LHCTKU/", "title": "1% AEP Current and Future Climate Flood Maps for Aotearoa New Zealand", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Flooding is one of the costliest hazards facing Aotearoa. We present a methodology for creating nationally consistent flood-maps for a range of current and future climate scenarios developed by the Endeavour M\u0101 te haumaru \u014d te wai: flood resilience Aotearoa. The maps are shared in an open-data repository.", "description": "Introduction\r\nFlood inundation modelling and the resultant flood maps are essential for understanding, planning for, and responding to flood events. Flooding is one of the most costly and impactful hazards facing Aotearoa, and the frequency and severity of flooding is projected to rise under a warmer future climate. \r\n\r\nHistorically in Aotearoa, flood hazard products have been produced at the local and regional levels using locally defined methodologies leaving Aotearoa without nationally consistent flood map products available for nation-wide hazard, risk and future climate analyses. This is the aim of the Endeavour project M\u0101 te haumaru \u014d te wai: flood resilience Aotearoa. \r\n\r\nM\u0101 te haumaru \u014d te wai aims to adhere to the principles of open science and access. Our methodology uses open-source software where possible, while also contributing directly to the development of two open-source software projects: BG_Flood and GeoFabrics. Additionally, where possible we use open data sources as inputs into the modelling methodology. Finally, the current and future climate scenario flood maps are published in an open-access data repository. \r\n\r\nWe present the automated cascaded modelling methodology used to produce nationally consistent fluvial and pluvial flood inundation maps by integrating climate science, rainfall statistics, hydrology, hydrodynamics and geospatial data for 256 flood domains across Aotearoa New Zealand. We apply this methodology to produce four current and future climate scenarios at a 1% Annual Exceedance Probability (AEP) for current, 1\u00b0, 2\u00b0 and 3\u00b0C warmer than current conditions and present a summary of these results. \r\n\r\nMethod\r\nWe created a cascaded modelling methodology to produce nationally consistent flood maps (Figure 1) consisting of five major stages: flood domain definition, topography and roughness generation, storm generation, hydrology modelling, and hydrodynamic modelling. The workflow was fully automated using Cylc [1], an open-source workflow engine, to control the progress between different stages. This allowed the workflow to be run across all flood domains for the current and future climate scenarios in an automated fashion.  \r\n\r\nOur modelling methodology begins with the definition of floodplains and associated catchments (Figure A.1.) where we perform our coupled hydrology (Figure A.4.) and hydrodynamic (Figure A.5.) modelling. For each catchment, a design rainfall event is created in the storm generation stage (Figure A.3) which forms another key input to both the hydrology and hydrodynamic modelling stages. The topography and roughness stage (Figure A.2) produces hydrologically conditioned Digital Elevation Models (DEMs) and hydraulic roughness layers across Aotearoa New Zealand which form third key input to the hydrodynamic modelling stage. A flood inundation map showing the maximal flood depths across the current climate scenario is shown for an example domain, the West Coast Fox River (Figure B). \r\n\r\nThe catchments and associated floodplains are defined from a set of basic manual outlines, a NZ wide river network, and nationwide population and building information. The manual outlines roughly indicate each floodplain in the country act to ensure appropriate groupings of nearby river courses. The floodplains are defined using a process to propagate up from the river mouth(s) (or downstream reach for inland catchments) to define relatively flat populated areas with available LiDAR where higher detail hydrodynamic modelling is undertaken. During this stage, river injection points are defined at the intersection between the flood plains and the river network; they are used to couple the hydrology model used in the upper catchment with the hydrodynamic model used over the floodplain in the lower catchment. \r\n\r\nWe use the Aotearoa-specific High Intensity Rainfall Design System (HIRDS) [2] to generate our rainfall events. HIRDS is an open tool (https://hirds.niwa.co.nz/) for generating rainfall estimates for a specified AEP and duration at any location across New Zealand where the rainfall estimates are derived from historic rainfall observations as well as other climatic and topographical information.  \r\n\r\nAll hydrology modelling in our workflow is performed using the Aotearoa New Zealand TopNet model [3]. We hydrologically model rainfall events with durations between 6 and 72hrs to experimentally determine a realistic worst case storm duration for each catchment. In each catchment, the selected worst-case duration 1% AEP rainfall event was used to force the coupled hydrology and hydrodynamic model.  \r\n\r\nHydrodynamic modelling was performed using BG_Flood [4] an open-source software (OSS) GPU-enabled adaptive resolution shallow-water solver that supports rain-on-grid. BG_Flood was actively developed as part of this project. The TopNet river flows from the upper catchment are injected into the hydrodynamic model around the edge of the floodplain. The rainfall event over the floodplain is also included directly to the hydrodynamic model as rain-on-grid. The NZ tide model, with open access through an online tool (https://tides.niwa.co.nz/), was used to provide tidal forcings (mean high water spring tide) around the coast.  \r\n\r\nThe hydrodynamic modelling also requires a hydrologically conditioned DEM and hydraulic roughness. These were produced using the OSS Python package GeoFabrics [5], which was also developed for this project. GeoFabrics is a Dask enabled Python tool for creating hydro DEMs and hydraulic roughness from LiDAR point clouds, other elevation, natural feature and infrastructure information. This was included within the workflow so that the topography and roughness information could be updated as LiDAR coverage increased across New Zealand from 20% at the project inception to 80% today. \r\n\r\nResults\r\nWe developed our workflow with a focus on iterative improvement. As such, we performed our first nationwide run concluding June 2024. These results were limited to 1% AEP at current climate and an 8m resolution. These were reviewed to identify key areas of improvement. Specifically, we identified: more realistic storm durations, inclusion of inland floodplains, inclusion of lakes and 150 missing culverts, the opening of more than 100 river mouths, and modelling to a resolution of 4m. \r\n\r\nWe have completed our second nationwide run to a resolution of 4m concluding June 2025 across four scenarios: 1% AEP at current, 1\u00b0, 2\u00b0, and 3\u00b0C warmer future climate. In our presentation we will cover several catchments in detail and share summary results comparing the current and future climate scenarios.  We will also share the open-data repository where the flood inundation maps across each catchment and scenario can be accessed. Finally, we will highlight how these products can be used to access impact through risk modelling in future studies.  \r\n\r\n\r\n\r\nReferences\r\n[1] Oliver et al., (2018). Cylc: A Workflow Engine for Cycling Systems. Journal of Open Source Software, 3(27), 737, https://doi.org/10.21105/joss.00737  \r\n\r\n[2] Carey-Smith, T., et al., (2018) High Intensity Rainfall Design System Version 4, NIWA Client Report 2018022CH prepared for Envirolink, retrieved from https://niwa.co.nz/climate-and-weather/hirdsv4-usage \r\n\r\n[3] Bandaragoda, C., et al.,\u202f(2004).\u202fApplication of TOPNET in the distributed model intercomparison project.\u202fJournal of Hydrology.\u202fhttps://doi.org/10.1016/j.jhydrol.2004.03.038  \r\n\r\n[4] Bosserelle, C., et al., (2022), BG-Flood: A GPU adaptive, open-source, general inundation hazard model; Australiasian Coasts and Ports 2021. https://github.com/CyprienBosserelle/BG_Flood. \r\n\r\n[5] Pearson, R et al., 2023, Geofabrics 1.0.0: An Open-Source Python Package for Automatic Hydrological Conditioning of Digital Elevation Models for Flood Modelling. Environmental Modelling and Software. http://dx.doi.org/10.2139/ssrn.4463610", "recording_license": "", "do_not_record": false, "persons": [{"code": "8LSKKZ", "name": "Rose Pearson", "avatar": "https://talks.staging.osgeo.org/media/avatars/head_shot_PUimHkc.jpg", "biography": "Rose is a remote sensing scientist at Earth Sciences New Zealand (formally NIWA) with a background in software engineering. Her work primarily focuses on combining and processing geospatial data (LiDAR point clouds through satellite imagery). Her time is split between remote sensing applications in environmental hazards and marine ecology and biosecurity. Her research interests centre on surface generation and attribute mapping from a wide array of spatial and geospatial datasets.\r\n\r\nShe is the primary maintainer of the OSS Python package GeoFabrics, which is focused on combining elevation data, water features and flood infrastructure to produce hydro DEMs and hydraulic roughness maps for use in river flood modelling.", "public_name": "Rose Pearson", "guid": "faaae280-2df2-5a58-8e79-a10be8f78b5f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8LSKKZ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LHCTKU/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LHCTKU/", "attachments": []}, {"guid": "a8e0e5fd-664f-5bc1-a2a6-47838199bb41", "code": "9KSQVT", "id": 4327, "logo": null, "date": "2025-11-19T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4327-i-love-a-sunburnt-country-address-data-standardisation-and-enrichment-in-an-austrailan-context", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9KSQVT/", "title": "I Love a Sunburnt Country: Address Data Standardisation and Enrichment in an Austrailan Context", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "We put together the most popular opensource GIS dataset in Australia: the Geocoded National Address File -- the most downloaded dataset from `data.gov.au`. This talk will share the journey and discuss some of the challenges to maintain various insightful GIS datasets everyday.", "description": "Different regions, cultures and countries all have different approaches to the problem of \"Addressing\". This talk will cover how a private Australian government owned organisation produces a decades old nationalised Australian address file that is extremely broadly used and highly regarded. This main address file is provided for free as \"G-NAF\" the Geocoded National Address File from `data.gov.au` and reputedly accounts for a very large proportion of downloads from that government resource.\r\n\r\nJust using open sources, that is what information is available from administrative/governmental bodies and what can observed from the streets and skies, large datasets of insights can be added to the address database. In the decades during which this address set has been maintained and technology has evolved, we have and continue to constantly work to provide this enrichment. Streets, borders and zoning are low hanging fruit these days. Insights such as buildings, trees, swimming pools and solar panels are well established as being available, though constantly improving in quality. In particular we're proud of the work we do providing the best information for emergency services, a surprisingly difficult challenge in some significant edge-cases. Today's most interesting new additions are around land use, aboriginal lands, as well as addressing risk and sustainability around our famous floods and fires.\r\n\r\nThis fast-paced talk will cover some of the most interesting challenges to constantly producing all this information from a senior software engineer inside the company. Not leastly discussing OSGeo's tools that are fundamentally important to us and for which we're extremely grateful. We will briefly touch on some cool uses we have for these tools and will discuss some of the challenges we encountered in doing this work.", "recording_license": "", "do_not_record": false, "persons": [{"code": "KQPXQB", "name": "Elena Williams", "avatar": "https://talks.staging.osgeo.org/media/avatars/elena-profile-2025_8xQOUbm.jpg", "biography": "Senior Platform Software Engineer at Geoscape Australia. Sessional Academic teaching Software Engineering at ANU School of Computing. Elected council member of Linux Australia Steering Council 2025 and DSF (Django Software Foundation). Active management-level member of PSF (Python Software Foundation) and Python Australia. She will still proudly claim to be part of the team of organisers of the Canberra Python User Group with several members of the geospatial community some of whom are in attendance here, even though she has recently relocated.", "public_name": "Elena Williams", "guid": "1daf9f41-2305-59dc-8bae-0dfae383bc0b", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KQPXQB/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9KSQVT/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9KSQVT/", "attachments": []}, {"guid": "ca75e0ea-7b39-5596-9d4c-1577b748aa39", "code": "GSRDLN", "id": 4469, "logo": null, "date": "2025-11-19T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4469-mapping-community-capital-using-foss-and-open-data-to-reveal-local-gaps-in-rural-access-and-opportunity", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GSRDLN/", "title": "Mapping Community Capital: Using FOSS and Open Data to Reveal Local Gaps in Rural Access and Opportunity", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "We apply the Community Capitals Framework in small rural Midwest communities using FOSS and open data. Our case studies demonstrate how regional access to services varies across rural places\u2014and how, within those places, spatial analysis reveals localized gaps in access to essential assets like healthcare, broadband, and public infrastructure.", "description": "The Community Capitals Framework (CCF) offers a structured approach to assessing community strengths and weaknesses across seven forms of capital\u2014natural, cultural, human, social, political, financial, and built. Over the past several years, our team has collected and analyzed data indicators aligned with this framework to evaluate the strengths and weaknesses of cities and counties in the Midwest United States. Drawing on publicly available data, we\u2019ve assessed how various forms of capital\u2014such as built infrastructure, human services, and social networks\u2014vary across communities. While these assessments have offered valuable insights at the county and city level, they often mask important disparities within communities themselves. Our current focus shifts to analyzing those same indicators at a finer spatial scale to better understand how access to critical services and assets is distributed within individual communities.\r\n\r\nTo uncover these internal disparities, we apply spatial analysis techniques using free and open-source software (FOSS) and openly available geospatial data. We begin by analyzing access to key community assets\u2014such as parks, healthcare facilities, broadband infrastructure, and educational institutions\u2014across a multi-county rural region, identifying differences in regional availability. We then zoom in on selected case study communities to map the neighborhood-level distribution of those same assets, revealing gaps in access that are often hidden by broader county- or city-level aggregates.\r\n\r\nUsing free and open-source tools we perform proximity analysis, service area analysis, and spatial overlays to identify underserved areas\u2014places where residents may face barriers to opportunity, infrastructure, or essential services. Our case studies illustrate how a place-based, spatial lens\u2014grounded in open data tools\u2014can guide more equitable rural planning, investment, and community engagement. \r\n\r\nThis session will highlight our methods, case study findings, and how these insights can inform targeted investment in small rural communities. Our reproducible, open-source workflow is designed for use by researchers, planners, and community stakeholders aiming to apply geospatial analysis in low-resource environments.", "recording_license": "", "do_not_record": false, "persons": [{"code": "HGKHPJ", "name": "Christopher J. Seeger", "avatar": "https://talks.staging.osgeo.org/media/avatars/cjseeger_0_B5FOKwB.jpg", "biography": "Christopher J. Seeger, (cjseeger@iastate.edu) PLA, GISP is a Morrill Professor and Extension Specialist in Landscape Architecture and Geospatial Technology at Iowa State University. He leads the ISU Extension and Outreach Indicators Program and is the director of the Data Science for the Public Good Young Scholars Program. Professor Seeger specializes in the integration of geospatial technologies, collaborative design technologies, crowd-sourcing (Public Participation GIS and Volunteered Geographic Information) and data visualization to develop local current datasets and indicators that can be used in the community planning and design process.", "public_name": "Christopher J. Seeger", "guid": "38596665-5435-5bc8-89cd-8269f822f505", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/HGKHPJ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GSRDLN/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GSRDLN/", "attachments": []}, {"guid": "a256531f-3061-5b86-ab6a-32e790781720", "code": "Y3UMBY", "id": 4391, "logo": null, "date": "2025-11-19T15:30:00+13:00", "start": "15:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4391-implementing-interactive-indoor-maps-with-maplibre-and-imdf", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Y3UMBY/", "title": "Implementing Interactive Indoor Maps with MapLibre and IMDF", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Learn to render interactive indoor maps with MapLibre and IMDF. This session guides you through the complete workflow, from data processing to creating a map with dynamic features like searching for open stores and locating amenities within large facilities.", "description": "While outdoor maps are ubiquitous, navigating large and complex indoor venues like shopping malls and airports remains a significant challenge for users. Traditional solutions, often static image-based maps provided by facility operators, lack the flexibility required for modern applications. These image maps are difficult to update and do not support crucial features like interactive search or real-time data integration, as the locational information is not structured as usable data.\r\n\r\nThis presentation tackles these challenges head-on. We will demonstrate how to build a powerful, data-driven indoor mapping solution using open-source tools.\r\n\r\nFirst, we will introduce the Indoor Mapping Data Format (IMDF), an international standard by Apple, and explain how to model a venue's floors, units, and points of interest.\r\n\r\nNext, we will walk through the technical implementation of parsing this IMDF data and rendering it as an interactive, multi-layered indoor map with MapLibre.\r\n\r\nFinally, going beyond simple map display, we will detail the implementation of a practical search feature. Attendees will learn how to leverage the structured IMDF data to allow users to find specific points of interest, such as stores that are currently open or the nearest available restroom, transforming the map from a static image into a dynamic and genuinely useful tool.\r\n\r\nKey Takeaways for the Audience:\r\n\r\n- A solid understanding of the Indoor Mapping Data Format (IMDF) structure and how to apply it to a real-world venue.\r\n- A step-by-step guide to processing IMDF data and rendering it as a multi-level indoor map using MapLibre.\r\n-Actionable techniques for implementing interactive features such as floor selection and displaying store or amenity information in a sheet when tapping annotations on the indoor map.", "recording_license": "", "do_not_record": false, "persons": [{"code": "XEHQSZ", "name": "Haruki Inoue", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG20250706224343_kL6tu7U.jpg", "biography": "iOS App Engineer / Bitkey.Inc (Japan) / OSGeo.JP Board of Directors.", "public_name": "Haruki Inoue", "guid": "35688731-047b-51df-876b-fb218767fca4", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/XEHQSZ/"}], "links": [{"title": "Speaker Deck", "url": "https://speakerdeck.com/kyotonagoya/implementing-interactive-indoor-maps-with-maplibre-and-imdf", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Y3UMBY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Y3UMBY/", "attachments": []}, {"guid": "075b2721-1577-593c-86f8-63576161ebb3", "code": "FDJC9Y", "id": 4254, "logo": null, "date": "2025-11-19T16:00:00+13:00", "start": "16:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4254-geofm-with-opendatacube-from-arrays-to-embeddings", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FDJC9Y/", "title": "GeoFM with OpenDataCube - From arrays to embeddings", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Groups have wrangled sufficient number of GPU's to scan through a lot of satellite data to create a good set of weights. This talk scans through a few GeoFM's (Geospatial Foundation Models) and how to put data through them while loading it via OpenDataCube.", "description": "This talk presents technical implementation and intercomparison of various geospatial foundation models using TerraTorch , the twist is loading satellite data collections via OpenDataCube tooling rather than built in sample datasets. A bit of pre-processing is necessary to make the foundation models comply with the dynamics of the data as-is from cloud native sources, however they stand up quite well and are generalizable for problems they are trained for. In addition, they can also generate embeddings which can be thought of as dimension reduced versions of source arrays that can then be used to fine tune and perform additional tasks the initial foundation model was not trained for.\r\n\r\nThis approach is used for demonstrating application of multiple foundation models - Prithvi v2.0, Clay and DOFA for burn scar mapping (Segmentation) and water quality inference (Regression) tasks.", "recording_license": "", "do_not_record": false, "persons": [{"code": "7HVAP3", "name": "Tisham Dhar", "avatar": "https://talks.staging.osgeo.org/media/avatars/posterize_self_iCPMSbo.jpg", "biography": "Tisham is a Senior Engineer at CSIRO Space and Astronomy division. Previously he held similar roles in various government agencies, private sector companies and startups. He has been pushing pixels since 2004 when he got started using medical imaging devices in Singapore. Since then he has had the priviledge of working with various space agencies such as NASA, DLR, JAXA, CNES etc. and lived through the explosion of publicly available satellite imagery.", "public_name": "Tisham Dhar", "guid": "14dbeb54-abc0-5e8b-b1d6-11aaea8606e9", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7HVAP3/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FDJC9Y/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FDJC9Y/", "attachments": []}], "WG404": [{"guid": "ee210db2-12a1-5bcf-b7bb-01b55000ae35", "code": "9FVHFA", "id": 4408, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/9FVHFA/%E3%83%95%E3%83%AC%E3%82%BB%E3%83%B3%E3%83%86%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B31_9fNKJtm.png", "date": "2025-11-19T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4408-assessment-of-display-performance-and-comparative-evaluation-of-web-map-libraries-for-extensive-3d-geospatial-data", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9FVHFA/", "title": "Assessment of Display Performance and Comparative Evaluation of Web Map Libraries for Extensive 3D Geospatial Data", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "This study compares CesiumJS and MapLibre GL JS performance for displaying large-scale 3D geospatial data from Japan's PLATEAU and VIRTUAL SHIZUOKA projects, finding CesiumJS excels with 3D Tiles while MapLibre GL JS performs better with lightweight vector data.", "description": "In recent years, Japan has experienced significant advancements in the development of large-scale three-dimensional urban models, exemplified by initiatives such as Project PLATEAU, spearheaded by the Ministry of Land, Infrastructure, Transport and Tourism, and VIRTUAL SHIZUOKA, undertaken by Shizuoka Prefecture. As of March 2025, Project PLATEAU offers open data for 3D models (LOD1) encompassing over 23 million buildings across 260 cities. Concurrently, VIRTUAL SHIZUOKA has generated 30 terabytes of 3D point cloud data, covering the entire prefecture (7,200 km\u00b2), which is utilized as a digital twin at a 1:1 scale. The efficient visualization of these extensive datasets within web map environments has emerged as a critical technical challenge in the construction of digital social infrastructure.\r\n\r\nIn this study, we focused on Numazu City in Shizuoka Prefecture (population approximately 180,000; area 186.85 km\u00b2), which contains both datasets. We converted the 3D point cloud data (LAS format) from VIRTUAL SHIZUOKA and the PLATEAU building models (CityGML format) into a unified data format to evaluate web map display performance. During the data conversion process, we employed open-source tools such as \u201cPDAL\u201d and \u201cPLATEAU GIS Converter\u201d to convert the data to the 3D Tiles 1.1 specification\u2014endorsed as an OGC standard in 2023\u2014and the MVT (Mapbox Vector Tiles) format. The 3D Tiles 1.1 specification marks a substantial advancement from the previous 1.0 version, incorporating technological innovations such as optimized hierarchical level of detail (HLOD), implicit tiling, support for multigranular semantic metadata, and direct integration with glTF 2.0, which have significantly enhanced the streaming performance of large-scale geospatial data.\r\n\r\nA comparative analysis was undertaken to evaluate the display performance of two prominent WebGL-based web mapping libraries: CesiumJS and MapLibre GL JS, the latter integrated with deck.gl and loaders.gl. CesiumJS is widely regarded as the de facto standard for global-scale 3D visualization, noted for its efficient streaming of large datasets and hierarchical level of detail (HLOD) management, which is enabled by its optimized rendering pipeline and native support for 3D Tiles. In contrast, MapLibre GL JS is architecturally designed for vector tile delivery and, through its integration with deck.gl, offers high-performance 3D rendering capabilities. These libraries are based on distinct design philosophies and optimization algorithms, necessitating a detailed comparison of their performance characteristics tailored to specific use cases.\r\n\r\nPerformance was evaluated using Google Chrome's Lighthouse mode, which conducted a quantitative assessment based on five core web vital metrics: First Contentful Paint, Largest Contentful Paint, Speed Index, Total Blocking Time, and Cumulative Layout Shift. These metrics specifically examine five critical elements: the duration required for the initial content to become visible, the time until the largest element on the page (such as an image or heading) is rendered, the speed at which the overall loading process is perceived visually, the total duration during which the page is unresponsive, and the visual stability of the layout of the page. Notably, the introduction of Interaction to Next Paint (INP) in March 2024 facilitated a more precise measurement of user interaction responsiveness in 3D applications than the previous method. For the evaluation, two scales were established: a broad 10 km-square grid (second-level mesh) and a narrow 1 km-square grid (third-level mesh), which are the standard data preparation ranges in Japan. This approach enabled a systematic analysis of the influence of data volume on display performance.\r\n\r\nThe evaluation indicated that CesiumJS demonstrates superior performance in loading 3D Tiles, particularly during the initial rendering of extensive point cloud data (secondary meshes). Conversely, MapLibre GL JS exhibited remarkable speed in rendering lightweight MVT data, achieving significant results in initial content display (FCP) and layout stability (CLS). In comparing data formats, 3D Tiles were found to be more memory efficient due to their incremental loading capabilities for large datasets, whereas the MVT format offered enhanced responsiveness owing to its lightweight nature. Notably, the hierarchical level-of-detail functionality of 3D Tiles became apparent when transitioning from tertiary to secondary meshes, effectively mitigating performance degradation in wide-area displays. These quantitative assessments have elucidated optimal library selection guidelines based on specific use cases and the technical constraints associated with distributing large-scale three-dimensional data on the web.\r\n\r\nThe technical significance of this study is underscored by its comprehensive performance evaluation utilizing practical-scale datasets amidst a period of technological innovation characterized by the increasing adoption of WebGPU and the standardization of the OGC 3D Tiles 1.1 specification. Specifically, the study offers technical insights into large-scale datasets generated by Japan\u2019s 3D geospatial data development projects and elucidates implementation guidelines for web-based 3D GIS applications. Additionally, a two-screen comparison viewer was developed, facilitating the simultaneous comparison of different datasets and visualization methods, thereby enabling an intuitive understanding of the data differences. Looking ahead, it is imperative to consider compatibility with next-generation technologies, such as data development using CityGML 3.0 and integration with WebXR.\r\n\r\nCo-Authors: Yohei SHIWAKU\uff08Geolonia Inc.\uff09, Takayuki MIYAUCHI (Geolonia Inc.), Daisuke YOSHIDA (Osaka Metropolitan University) and Yuichiro NISHIMURA (Nara Women's University)", "recording_license": "", "do_not_record": false, "persons": [{"code": "RDUYKQ", "name": "Toshikazu Seto", "avatar": "https://talks.staging.osgeo.org/media/avatars/__Q7A0033_M07ue56.png", "biography": "Dr Toshikazu Seto is a Associate Professor, Komazawa University, Japan. He is a member of OSGeo.JP, OpenStreetMap Foundation Japan and OSGeo foundation charter member. He is a social geographer and geographical information scientist. In recent years, he has been engaged in research on participatory GIS and civic-tech open data.", "public_name": "Toshikazu Seto", "guid": "ec324e0e-47d6-59e3-b2ae-1c755c87be57", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/RDUYKQ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9FVHFA/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9FVHFA/", "attachments": []}, {"guid": "c73960dd-8a4a-5dcb-abb6-dbdbbd126524", "code": "7RPYH7", "id": 4401, "logo": null, "date": "2025-11-19T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4401-evaluating-the-reliability-of-crowdsourced-weather-data-for-urban-heat-assessment-a-case-study-in-melbourne", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7RPYH7/", "title": "Evaluating the reliability of Crowdsourced Weather data for urban heat assessment: a case study in Melbourne", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "This study assesses the reliability of Citizen Weather Stations (CWS) for urban heat analysis in Melbourne using CrowdQC+ and spatial interpolation. After quality control, 277 of 465 stations remained. CWS data recorded slightly higher temperatures than professional stations, with accurate predicted vs. observed comparisons (R\u00b2\u202f=\u202f0.989; RMSE\u202f=\u202f0.306).", "description": "1. Introduction\r\nProviding air temperature data with high spatial and temporal resolution remains a challenge in urban research as at least one of these conditions is often not met. The concept of crowdsourcing holds significant potential in solving that issue, particularly in urban areas where population density is high. Muller et al. (2015) defined crowdsourcing as the gathering of atmospheric data from publicly accessible sensors connected to the internet. Current and historical data from Citizen Weather Stations (CWS) are accessible through various online platforms, enabling broader use for local climate analysis and research. For example, Muller et al. (2015) highlighted various web-based initiatives and climate-related crowdsourcing efforts. Among them, Netatmo (https://www.netatmo.com/en-us/weather) and Weather Underground (https://www.wunderground.com/) have been used in urban climate research (Chapman et al., 2017; Fenner et al., 2021). \r\nCWS are run by diverse users, with varying quality control and sensor placement in different environments. As a result, the accuracy of CWS data can vary significantly. Several studies have established quality control (QC) procedures to tackle uncertainties in CWS data and remove inaccurate observations. These methods either depend on reference data from Professionally operated weather stations (PWRS) or apply statistical techniques that do not require external meteorological data (Chapman et al., 2017; Meier et al., 2017). One recent approach is CrowdQC+ (Fenner et al., 2021), which filters out erroneous data based on the principle that the collective observations of the crowd, referred to as the \u201cwisdom of the crowd\u201d, are more reliable than those from any single CWS. This paper examines data quality control through following that principle, incorporating a comparative analysis with PWRS data using spatial interpolation techniques. \r\n\r\n2. Methods\r\n2.1. CrowdQC+ \r\nFive northern suburbs of Melbourne, Victoria, Australia, were selected including the Local Government Areas (LGAs) of Brimbank, Maribyrnong, Moonee Valley, Merri-bek, and Darebin.  Hourly air temperature data from Wunderground and Netatmo stations were collected within the study area and a 10 km buffer zone, covering the period from December 1st, 2022, to February 28th, 2023. A first QC has been conducted using the CrowdQC+ package in R by Fenner et al. (2021). The main QC steps in the tool are: (m1) latitude and longitude check, (m2) distribution check, (m3) validity check, (m4) temporal correlation check, and (m5) spatial buddy check.\r\n2.2. Spatial interpolation and comparison with PWRS data\r\nUsing the quality controlled CWS data, air temperature measurements were compared against PWRS data to further evaluate consistency and potential biases. First, the daily maximum air temperature recorded by CWS located within a 2000 m radius and situated in similar Local Climate Zones (LCZs) was compared to corresponding PWRS data from five Bureau of Meteorology stations in and around the study area, as done by Napoly et al. (2018) and Fenner et al. (2021). Second, CWS air temperature was interpolated using Empirical Bayesian Kriging (EBK) at 06:00 AM on a single observation day. This time was chosen as it typically reflects stable atmospheric conditions with minimal human activity and limited solar influence, occurring just before sunrise, as also noted by Chapman et al. (2017).  EBK is a geostatistical interpolation method that predicts values by accounting for both distance and spatial autocorrelation, using a variogram to model how similarity between points decreases with distance. Kriging is especially effective in relatively flat and homogeneous terrains, such as Melbourne\u2019s northern and northwestern suburbs  (Dodson & Marks, 1997). Predicted air temperature at PWRS stations using the EBK layer were compared to observed values. A Wilcoxon signed-rank test assessed the difference between observed and predicted air temperatures.\r\n\r\n3. Results\r\n3.1\tData availability over the levels of quality control\r\nAs the QC process progressed, the number of stations meeting the criteria gradually decreased. The original dataset comprised 465 stations. At the m3 quality control level, 460 stations passed the validity check. This number slightly decreased to 457 at the m4 level, following the temporal correlation check. A moderate reduction was observed at the m5 level (spatial \"buddy check\"), with 277 stations meeting the required standards.\r\n3.2. Comparison of the average maximum temperatures between CWS and PWRS stations\r\nScatter plots comparing daily maximum air temperature data from PWRS and CWS stations, within areas where LCZs are uniform over a 2000 m radius, between December 2022 and February 2023 reveal that CWS stations tend to record slightly higher temperatures. This difference is likely due to the siting of CWS in more built-up or enclosed environments compared to the typically open settings of PWRS stations.\r\n3.3. Comparison of predicted and observed air temperatures\r\nThe interpolated spatial distribution of predicted air temperature at 6:00 AM across the study area, generated based on five PRWS stations shows a clear temperature gradient, with cooler conditions (18.0\u201319.5\u202f\u00b0C) in the northern and northeastern of Melbourne, particularly around Melbourne and Essendon Airports, and progressively warmer temperatures (20.5\u201321.5\u202f\u00b0C) toward the southern and southeastern areas. The Wilcoxon signed-rank exact test produced a test statistic of V = 0 and a p-value of 0.0625, indicating no statistically significant difference between the two sets of values at the 5% significance level. the model achieved a high coefficient of determination (R\u00b2 = 0.989), indicating that 98.9% of the variance in the observed data is explained by the predictions. The root mean square error (RMSE) of 0.306 further supports the model\u2019s accuracy, reflecting a low average prediction error.\r\n\r\n4. Conclusion\r\nThis study demonstrates the feasibility and reliability of using CWS data for high-resolution urban temperature analysis. The quality control process proved effective, retaining 277 out of the original 465 stations after a series of checks, including validity, temporal correlation, and spatial consistency. Comparison with PWRS data revealed that CWS stations tend to record slightly higher maximum temperatures, likely due to their location in more built-up or enclosed environments. The findings highlight the importance of spatial statistics in leveraging CWS data for urban air temperature assessments.\r\n\r\n5. References\r\n- Chapman, L., Bell, C., & Bell, S. (2017). Can the crowdsourcing data paradigm take atmospheric science to a new level? A case study of the urban heat island of London quantified using Netatmo weather stations. International journal of climatology, 37(9), 3597-3605.\r\n- Dodson, R., & Marks, D. (1997). Daily air temperature interpolated at high spatial resolution over a large mountainous region. Climate research, 8(1), 1-20.\r\n- Fenner, D., Bechtel, B., Demuzere, M., Kittner, J., & Meier, F. (2021). CrowdQC+\u2014a quality-control for crowdsourced air-temperature observations enabling world-wide urban climate applications. Frontiers in Environmental Science, 9, 720747.\r\n- Meier, F., Fenner, D., Grassmann, T., Otto, M., & Scherer, D. (2017). Crowdsourcing air temperature from citizen weather stations for urban climate research. Urban Clim 19: 170\u2013191. In.\r\n- Muller, C., Chapman, L., Johnston, S., Kidd, C., Illingworth, S., Foody, G., Overeem, A., & Leigh, R. (2015). Crowdsourcing for climate and atmospheric sciences: current status and future potential. International journal of climatology, 35(11), 3185-3203.\r\n- Napoly, A., Grassmann, T., Meier, F., & Fenner, D. (2018). Development and application of a statistically-based quality control for crowdsourced air temperature data. Frontiers in Earth Science, 6, 118.", "recording_license": "", "do_not_record": false, "persons": [{"code": "B8RBVE", "name": "Percy Yvon Rakoto", "avatar": "https://talks.staging.osgeo.org/media/avatars/percy_D7rPN3w.jpg", "biography": "Percy is a spatial analyst and researcher in climate adaptation, dedicated to making cities cooler and more livable through data-informed urban greening. He uses GIS and scenario-based simulations to design effective tree planting strategies. By integrating geospatial modelling with land cover analysis, he examines how urban structure, vegetation, and built surfaces affect local air temperatures. His work aims to promote climate-resilient urban development, especially in vulnerable communities.", "public_name": "Percy Yvon Rakoto", "guid": "571faaac-ec80-50de-ae54-bf1a960ae398", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/B8RBVE/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7RPYH7/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7RPYH7/", "attachments": []}, {"guid": "1d8ed0d9-9bd4-5e07-be26-5b0a108fab5f", "code": "XKFCXZ", "id": 4328, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/XKFCXZ/fredt_mkMKPrN.png", "date": "2025-11-19T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4328-development-of-open-source-digital-twins-for-automated-analysis-of-flood-risk", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XKFCXZ/", "title": "Development of open-source digital twins for automated analysis of flood risk", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "Digital Twins address the fundamental challenges created by large volumes of geospatial data by enabling automated, near-real time processing and analysis, reducing the gap between data and the insights needed for decision-making. Here we present our open-source digital twin software framework, demonstrated through automated flood risk assessment.", "description": "Digital Twins are dynamic virtual representations of physical systems, with automated data exchange and analytics being key attributes; they are enabling the development of smart cities and may also represent the natural environment. For example, over the next several years the EU's \u201cDestination Earth\u201d system is being developed as a Digital Twin for climate services, to facilitate access to weather and climate models which can be used for impact studies. Our research is developing scalable open-source environmental Digital Twin technology, applicable to diverse geospatial applications. We have applied this to address the complex geospatial analysis required for compound flood risk assessment (fluvial, pluvial and coastal). \r\nOur system enables automated scenarios for mitigation and adaptation, particularly those for natural flood management, while accounting for climate change; once complete, our system will be able to ingest weather and climate model data from the Destination Earth system, further enabling scalability. Through our close engagement with our indigenous partners, we are ensuring that m\u0101tauranga M\u0101ori (indigenous knowledge) is embedded within the system and scenarios developed. This will help to ensure that flood mitigation measures developed recognise M\u0101ori values and practices, as needed under the United Nations\u2019 Declaration on the Rights of Indigenous Peoples. \r\nHere, we present our fully open-source Digital Twin software framework including the core Environmental Digital Data Intelligence Engine (EDDIE), a data management system which is generically applicable to multiple use cases, and a module which interfaces with this for flood risk assessment, the Flood Resilience Digital Twin (FReDT). This framework provides the generic base for data ingestion, model configuration, and data visualisation that can be applied to many distinct use cases through extensions. \r\nIn the implementation presented here, FReDT interacts with EDDIE to automatically produce, run, ingest, analyse and visualise outputs from flood model simulations. Users can interact with FReDT by using a 3D geospatial web application based on the open-source geospatial library TerriaJS for control and visualisation. Alternatively, users can interact using an API via Open Geospatial Consortium standards such as WPS for starting models and WFS or WMS for retrieving data to use with existing tooling such as GIS software.\r\nTo begin processing a flood model scenario, users of FReDT must specify an area of interest and provide configuration parameters for the flood model, such as choosing the projected year for a climate scenario. Once the backend receives a processing request, it begins a Python Celery worker task to model the flood extents and depths and assess impact. Open data sources such as LiDAR terrain datasets, sea level rise predictions, river network shapes and statistics, and more are downloaded, processed and saved to database. If the same data is later required for another scenario run, then can be retrieved from the database, or it can be flagged for update and new data will be retrieved when required. Dynamic model forcing data (rainfall, river flows, tide levels) are currently produced statistically from open-data sources, and the system will be extended to include live observations and forecasts, predicted streamflow from a hydrological model, as well as user-provided scenarios.\r\nOnce the data is retrieved and processed it is passed through to the flood inundation numerical modelling software BG-Flood. Outputs from BG-Flood are passed through to the user and are also passed through to post-modelling analysis stages such as cross-referencing with building footprint polygon datasets to predict which buildings may be inundated for the scenario assessed. These data are presented to the users of the web application as geospatial layers on a 3D map, with a time slider to explore the depth of flooding over the course of the event, a comparison slider for viewing multiple scenarios side-by-side, and the ability to query the features such as individual buildings and the depth of a location to see a plot of depth over time.\r\nThe software system uses multiple containers to provide backend, frontend, and database services. The processing chains required for running flood models in new areas can take hours or more, especially for large domains. Currently work is under development to allow running the digital twin software on AWS cloud Elastic Container Services, which will allow for processing nodes to expand resources during periods of high demand and reduce outside of those times.\r\nPhysics-based Digital Twins such as FReDT will revolutionise access to and use of numerical model predictions, through a \u201cdigital twin web\u201d powered by rapidly growing data and distributed cloud computing. Yet individual components need to be built and tested to ensure they are fit-for-purpose, democratic and adaptive to society\u2019s needs. Our research is enabling this, initially in Aotearoa New Zealand but with global applicability. Building on the existing FReDT codebase, our current research is adding a hydrological model to allow upper river catchment changes to be accounted for in downstream flood risk and enable land management scenarios such as reforestation. Our aim is to facilitate rapid, low-cost risk assessments with on-demand scenario analytics, and effective ways to visualise and communicate this risk and its associated uncertainties, with communities placed at the centre by enabling them to participate in the design of solutions for flood mitigation and adaptation.\r\nGitHub repository: https://github.com/GeospatialResearch/Digital-Twins", "recording_license": "", "do_not_record": false, "persons": [{"code": "7G79AY", "name": "Matthew Wilson", "avatar": "https://talks.staging.osgeo.org/media/avatars/mattprofile_DlfRxvw.jpg", "biography": "Matt is a Professor in Spatial Information and the Director of the Geospatial Research Institute at the University of Canterbury, New Zealand.", "public_name": "Matthew Wilson", "guid": "9237b938-1927-5aed-bd7e-03316afde7cf", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7G79AY/"}, {"code": "8FMRTS", "name": "Luke Parkinson", "avatar": "https://talks.staging.osgeo.org/media/avatars/received_761857416191273_ybl3aHZ.jpeg", "biography": "Luke is the senior software developer at the Geospatial Research Institute | Toi Hangarau, leading development for multiple projects. He has a strong interest in web and application development with a specialisation in geospatial technologies. Luke provides software advice and support to researchers and leads teams to develop and deploy web applications and research data processing pipelines. He is leading development on the open-source digital twin framework being created at the GRI.", "public_name": "Luke Parkinson", "guid": "438458ca-97c8-5b2d-a6c0-850eeb8e20f2", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8FMRTS/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XKFCXZ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XKFCXZ/", "attachments": []}, {"guid": "cab2b350-0892-57ca-b544-1eddc190cfde", "code": "SKWYSQ", "id": 4455, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/SKWYSQ/Screenshot_2025-09-03_at_15.29.11_XgGox4P.png", "date": "2025-11-19T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4455-a5-technical-deep-dive-the-mathematics-of-pentagonal-perfection", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SKWYSQ/", "title": "A5 Technical Deep Dive: The Mathematics of Pentagonal Perfection", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "Journey through the mathematical elegance of  [A5](https://a5geo.org)'s pentagonal spatial indexing system. Discover how dodecahedral geometry, vertex curvature minimization, and equilateral pentagon tiling create superior spatial accuracy. A highly visual exploration of the geometric principles that make  [A5](https://a5geo.org) equal area cells possible.", "description": "### Overview\r\nMathematics and geometry have always been humanity's tools for understanding and organizing space. This presentation takes you on a visual journey through the mathematical foundations of A5, revealing how geometric principles dating back to ancient Greece combine with modern computational techniques to create a new spatial indexing system.\r\n\r\n### The Mathematical Quest: Why Break From Regular Polygons?\r\n\r\nA fundamental question drives A5's innovation: why restrict ourselves to regular polygons when projecting onto a sphere warps all shapes anyway? Traditional DGGS approaches use regular polygons (triangles in HTM, squares in S2, hexagons in H3) on platonic solids, but projection distorts these shapes significantly.\r\n\r\nA5 recognizes that since projection destroys regularity regardless, we should optimize for the final spherical result rather than the initial planar form. This insight led to embracing irregular equilateral pentagons that, while not regular on the plane, achieve superior properties when projected onto the sphere.\r\n\r\n### The Five Platonic Solids: Building Blocks of Space\r\n\r\nTo understand A5, we must first explore the five Platonic solids - the only three-dimensional shapes where all faces are identical regular polygons. These geometric forms, known since antiquity, provide the foundation for all Discrete Global Grid Systems (DGGSs).\r\n\r\nEach platonic solid offers different characteristics:\r\n- **Tetrahedron** (4 triangular faces): Highest vertex curvature\r\n- **Cube** (6 square faces): High vertex curvature\r\n- **Octahedron** (8 triangular faces): Moderate vertex curvature\r\n- **Icosahedron** (20 triangular faces): Low vertex curvature\r\n- **Dodecahedron** (12 pentagonal faces): Lowest vertex curvature\r\n\r\nThe key insight is that vertex curvature directly relates to distortion when projecting onto a sphere. The dodecahedron, with its twelve pentagonal faces, has the lowest vertex curvature of all platonic solids, making it the most \"sphere-like\" geometric form.\r\n\r\n### Hilbert Curves: Elegant Spatial Indexing\r\n\r\nA critical feature in A5 is how cells are spatially indexed using Hilbert-like curves - space-filling curves that map one-dimensional integer sequences to two-dimensional spatial arrangements. This elegant mathematical solution ensures that cells with similar locations have similar cell IDs, leading to several desirable properties:\r\n\r\n- **Spatial Locality**: Nearby cells in space have nearby IDs in the integer sequence, enabling efficient spatial queries and neighbor finding operations.\r\n- **Hierarchical Consistency**: Parent cells are guaranteed to overlap with their children, though they don't cover them exactly. This overlap ensures spatial coherence across resolution levels.\r\n- **Efficient Traversal**: The curve's path through the pentagon hierarchy creates natural ordering for spatial operations and range queries.\r\n\r\n### Efficient Encoding: What can fit into 64 bits?\r\n\r\nThe mathematical journey culminates in A5's elegant encoding system. Each cell is represented as a 64-bit integer, enabling:\r\n\r\n- **Hierarchical Addressing**: Parent-child relationships encoded in bit patterns\r\n- **Computational Efficiency**: Fast spatial operations using integer arithmetic\r\n- **Millimeter Precision**: Extraordinary accuracy at the finest resolution", "recording_license": "", "do_not_record": false, "persons": [{"code": "QEWFVN", "name": "Felix Palmer", "avatar": "https://talks.staging.osgeo.org/media/avatars/T08SE2FMZLP-U08SE2FNE0P-9f7bbe65c4f7-512_uLCdC4B.jpg", "biography": "Master in Physics by the University of Oxford. Primary maintainer of [deck.gl](https://deck.gl), the leading open-source framework for high-performance web geospatial visualization. Creator of [A5](https://a5geo.org), an innovative pentagonal spatial indexing system with truly equal area cells that offers superior accuracy and lower distortion than traditional hexagonal approaches.", "public_name": "Felix Palmer", "guid": "3f4b2ac6-357e-5b9a-ac02-90b8959fe22a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/QEWFVN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SKWYSQ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SKWYSQ/", "attachments": []}, {"guid": "82d5ad0f-67bf-5db7-af83-c61020a828c5", "code": "VDJC93", "id": 4414, "logo": null, "date": "2025-11-19T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4414-moving-from-science-to-product-making-open-gis-software-work-for-us", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VDJC93/", "title": "Moving from Science to Product: Making Open GIS Software Work for Us", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "How CTrees wrote open source code to complete zonal stats in order to move from science results (rasters) to interactive mapping apps.", "description": "At CTrees, we create machine learning models that integrate multiple data sources to produce high-resolution, time-series datasets on forest carbon and activity. Our outputs\u2014 estimates of carbon stocks, emissions, removals, and forest change\u2014support projects ranging from jurisdictional analysis to deforestation monitoring. However, scaling from research-driven models to a production-ready platform required solving two major challenges: (1) data management and (2) enabling fast, on-demand analysis that serves both internal researchers and external users.\r\nOn the data side, we faced the all-too-familiar chaos of manual and ad-hoc dataset versioning (v2, v2_final, v2_final_final), inconsistent folder structures where important data dates could be recorded in the filename or prefix, and directories packed with thousands of tiny GeoTIFFs meant to be mosaicked together. Instead of chasing S3 paths and manually stitching ad-hoc datacube files, we adopted Icechunk (open source) by Earthmover, which leverages Zarr and Icechunk to enable structured, versioned cloud-native datacube access. As a bonus, Arraylake (built on icechunk) makes it easy to view the data via a WMS service, streamlining the visualization process for both internal users and external stakeholders.\r\nThe second challenge was transitioning from scientific scripts\u2014often written in R or relying on heavy GDAL operations\u2014to a streamlined, scalable approach. To enable on-demand analysis, we refactored these scripts into ctreeskit (https://github.com/ctrees-products/ctreeskit) , our open-source Python package that consolidates spatial processing and zonal statistics using Xarray. Currently in its pre-release (beta) version, ctreeskit is designed for flexibility, it supports researchers across CTrees in papers, reports, and internal workflows. More broadly, ctreeskit is available to anyone performing similar calculations. By standardizing these processes and ensuring transparency, we enhance reproducibility, efficiency, and accessibility, allowing both internal teams and external users to understand and verify our methodologies.\r\nWith ctreeskit and Arraylake, we now have three key things: (1) a reliable way to save and access data, (2) a simple way to slice and dice high-dimensional data in the time and spatial domains, and (3) lightweight tools for running reproducible calculations. Moving from raw GeoTIFFs to an array-based Zarr model gives us fast, structured access to data without the complexity of STAC catalogs. By shifting from scattered S3 paths and heavyweight processing to a structured, cloud-native approach, we\u2019ve made geospatial data easier to access, faster to analyze, and more transparent\u2014helping both internal teams and external users work more efficiently.", "recording_license": "", "do_not_record": false, "persons": [{"code": "B8UZTB", "name": "Naomi Provost", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_5186_1_iGA2owi.jpg", "biography": "Naomi is the Head of Engineering at CTrees, where she leads a growing team of engineers dedicated to building scalable technology for global carbon and forest monitoring. Since joining CTrees in 2023, she has worked across teams to shape product direction and deliver impactful, data-driven tools, playing a pivotal role in launching major technical products such as JMRV and REDD+AI. With over seven years of experience in GIS and software engineering, Naomi previously served as a founding engineer at a startup where she helped bring a social app from concept to launch, and earlier worked on large-scale geospatial data systems with the Bing Maps team at Microsoft. She holds a bachelor\u2019s degree in geography with a focus on GIS Systems and a minor in mathematics from the University of Washington. Having grown up across Thailand and Ecuador, Naomi developed a lifelong appreciation for forests and biodiversity, which continues to inspire her work. Outside of work, she can often be found backpacking or planning her next big hiking adventure, and she enjoys experimenting with new data tools and geospatial technologies at the intersection of nature, data, and software.", "public_name": "Naomi Provost", "guid": "966909d7-19d9-522c-b3d3-2d80087c8244", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/B8UZTB/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VDJC93/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VDJC93/", "attachments": []}, {"guid": "9ae5e700-81e9-5527-b067-db007ec8ec89", "code": "K77CMD", "id": 4530, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/K77CMD/EOPF_FINAL_LOGO_I7GD3R7.png", "date": "2025-11-19T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4530-eopf-zarr-access", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/K77CMD/", "title": "EOPF Zarr Access", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "EOPF Toolkit - Python and R Zarr access", "description": "This talk will describe the EOPF Zarr format and present practical notebooks in Python and R for accessing ESA Sentinel data. It will touch on practical use cases for Sentinel 1, 2, and 3 Zarr data access and help users understand the EOPF ecosystem and the tooling best suited to access and exploit EOPF data.", "recording_license": "", "do_not_record": false, "persons": [{"code": "ZVMMD8", "name": "James Banting", "avatar": null, "biography": "James Banting is Vice President of Research at Sparkgeo. He has an academic background in Remote Sensing and Physical Geography and a business background in professional services and consulting.\r\nHe was a founding steering committee member of STAC and a lifelong practitioner of open source ideals.", "public_name": "James Banting", "guid": "e546c49d-e163-53e8-a136-91535be04d2c", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ZVMMD8/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/K77CMD/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/K77CMD/", "attachments": []}, {"guid": "b8fa3de7-c0ce-558e-8bda-216d3a50fbc8", "code": "DZELVK", "id": 4407, "logo": null, "date": "2025-11-19T15:30:00+13:00", "start": "15:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4407-did-you-get-that-thing-i-sent-you-simplifying-spatial-data", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DZELVK/", "title": "Did you get that thing I sent you? Simplifying spatial data", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "Distributing spatial data is a major challenge. This talk walks-through different strategies you can take to simplify your spatial data for distribution, and under what circumstances you might make each choice, including: reducing precision; filling holes; Ramer-Douglas-Peucker and friends; and raster and vector conversion.", "description": "To quote Stewart Brand: On the one hand information wants to be expensive, because it\u2019s so valuable. The right information in the right place just changes your life. On the other hand, information wants to be free, because the cost of getting it out is getting lower and lower all the time.\r\n\r\nRegardless of which hand you hold, making sure you can deliver data efficiently and quickly is important. Spatial data is not special - it's just more data - but it poses major challenges in distribution for a number of reasons: competing file formats; multiple data types (vector and raster is just the beginning); and the most common issue: the quantity of data. This talk walks through different strategies for simplifying your data, why you might want to (and why you might not), and what choice you might make to perform the simplification using GDAL.\r\n\r\nTopics covered include:\r\n\r\n- reducing precision and delivering data suitable to scale;\r\n- filling holes and removing noise;\r\n- the Ramer-Douglas-Peucker algorithm and other common simplification algorithms;\r\n- and, when to use raster vs vector data for distributing information.", "recording_license": "", "do_not_record": false, "persons": [{"code": "NZWTTP", "name": "Henry Walshaw", "avatar": "https://talks.staging.osgeo.org/media/avatars/gravatar_2025_0UGkyoD.png", "biography": "Henry has 20 years experience in GIS, spatial analysis and application development, particularly in the natural resource management field. Henry's core technical expertise relates to the development and analysis of large scale spatial datasets, and communicating this understanding to people including subject matter experts and the general public.", "public_name": "Henry Walshaw", "guid": "ddc87a83-375d-5a0e-94b9-fafcfda3a916", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NZWTTP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DZELVK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DZELVK/", "attachments": []}, {"guid": "fc4f82be-55dd-5127-947a-3ddec8960e0b", "code": "FJYFLZ", "id": 4228, "logo": null, "date": "2025-11-19T16:00:00+13:00", "start": "16:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4228-maplibre-gl-terradraw-new-drawing-plugin-for-maplibre-gl-js", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FJYFLZ/", "title": "maplibre-gl-terradraw - new drawing plugin for maplibre-gl-js", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "This talk introduces a new drawing plugin for MapLibre: maplibre-gl-terradraw as an alternative of historical mapbox-gl-draw. maplibre-gl-terradraw has specifically been developed for Maplbire with a simple API to bring Terra Draw to your Maplibre with a single line of code.", "description": "This talk introduces a new drawing plugin for MapLibre: maplibre-gl-terradraw.\r\n\r\nPreviously, both Mapbox and MapLibre have relied on an older plugin, mapbox-gl-draw, to provide drawing functionality in maplibre-gl-js. However, mapbox-gl-draw is no longer actively maintained, making it increasingly difficult to use with MapLibre.\r\n\r\nAs an alternative, Terra Draw maintained by James Milner, offers advanced drawing features for multiple mapping libraries, including Mapbox, MapLibre, OpenLayers, Leaflet, Google Maps, and ArcGIS, all within a unified user interface. Compared to mapbox-gl-draw, Terra Draw is significantly easier to use. However, integrating its full functionality into MapLibre still requires extensive configuration. I developed maplibre-gl-terradraw, a new plugin that enables a pre-configured drawing feature with a single line of code.\r\n\r\nWith maplibre-gl-terradraw, users can easily add drawing controls with just a line of code.\r\n\r\nThis immediately grants access to all drawing modes (point, line, polygon, rectangle, circle, etc) powered by Terra Draw. The plugin comes pre-configured with icons and additional functionalities, such as:\r\n\r\n- Selecting and deleting features\r\n- Downloading drawn features\r\n- Customizing Terra Draw options and styles, as described in the documentation\r\n\r\nFurthermore, the measure control allows users to:\r\n\r\n- Measure the distance of a line or the area of a polygon\r\n- Query elevation data from raster DEM sources (MapLibre Terrain, TerrainRGB, and Terrarium)\r\n\r\nIn this talk, I will demonstrate the core functionalities of maplibre-gl-terradraw and show how easily you can integrate drawing features into your MapLibre applications.\r\n\r\nReferences: \r\n\r\nmain project: \r\n- maplibre-gl-terradraw: MIT License. https://github.com/watergis/maplibre-gl-terradraw\r\n\r\ndependencies of the main project:\r\n- Terra Draw: MIT License. https://github.com/JamesLMilner/terra-draw\r\n- maplibre-gl-js: https://github.com/maplibre/maplibre-gl-js", "recording_license": "", "do_not_record": false, "persons": [{"code": "QN9QGN", "name": "Jin Igarashi", "avatar": "https://talks.staging.osgeo.org/media/avatars/2639701_9ZSELCD.jpeg", "biography": "Jin Igarashi is senior software developer working on geospatial for many years. Since I was involved in water projects as GIS developer in Eastern Africa in 2014, I develop and maintain several open source software (called GIS for water) supporting water utilities in Africa to manage and visualize water and sewerage network in the web apart from my professional work. I am passionate about driving innovation in the WASH field due to my background in information technologies and WASH experience.", "public_name": "Jin Igarashi", "guid": "c56cbcf4-1e0d-5882-af2d-6453da7eb0b2", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/QN9QGN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FJYFLZ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FJYFLZ/", "attachments": [{"title": "slides", "url": "/media/foss4g-2025/submissions/FJYFLZ/resources/20251119_maplibre-gl-terradraw_-_new_drawing_pl_AskCXS0.pdf", "type": "related"}]}], "WG802": [{"guid": "64dfe39e-22e2-591d-b83a-da15388551f4", "code": "HNQRBD", "id": 4473, "logo": null, "date": "2025-11-19T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4473-state-of-geotools-jts-topology-suite-and-imagen", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HNQRBD/", "title": "State of GeoTools, JTS Topology Suite, and ImageN", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "The very first open source geospatial foundation diversity statement \u2026 was about representation for the \u201cC Tribe\u201d and the \u201cJava Tribe\u201d! Check in with this presentation for an update from the Java crew!", "description": "This talk covers three foundation Java Geospatial Projects that do the heavy lifting behind applications you know and love:\r\n\r\n* GeoTools - Open-source Java library that provides tools for geospatial data.\r\n* JTS Topology Suite - Java library for creating and manipulating vector geometry.\r\n* ImageN - image and raster processing\r\n\r\nWe have been having an amazing year, and an amazingly active year. There have been big changes in the Java ecosystems for us to respond to. We have also been revising our community interaction as development culture changes around communication and security.\r\n\r\nAttend this talk to learn more about this projects, their project teams, and what we are doing next.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HNQRBD/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HNQRBD/", "attachments": []}, {"guid": "1319b74f-e0e6-5ec9-8a42-2049c281510e", "code": "TJSB9P", "id": 4360, "logo": null, "date": "2025-11-19T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4360-scaling-geonetwork-4-4-x-in-kubernetes-production-deployment-strategies-and-performance-analysis", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TJSB9P/", "title": "Scaling GeoNetwork 4.4.x in Kubernetes: Production Deployment Strategies and Performance Analysis", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Walk through of Helm charts and horizontal scaling approaches for GeoNetwork in Kubernetes, covering volume pitfalls like wro4j cache configurations, plus Locust benchmark techniques for user access testing", "description": "GeoNetwork, a widely adopted open-source metadata catalog, faces significant challenges when deployed in modern containerized environments requiring high availability and scalability. This presentation examines current capabilities and limitations for scaling GeoNetwork 4.4.x deployments in Kubernetes environments.\r\n\r\nWe present a comprehensive Helm chart implementation that enables both vertical and horizontal scaling strategies for GeoNetwork instances. Our analysis reveals that while vertical scaling (CPU/memory increases) provides straightforward performance improvements, horizontal scaling presents complex challenges due to GeoNetwork's architecture, particularly around session management, database connections, and Elasticsearch cluster coordination.\r\n\r\nKey deployment pitfalls identified include persistent volume configuration issues and  inter-pod file sharing. Ingress load balancer configurations that maintain catalog consistency across multiple instances.\r\n\r\nPerformance benchmarking using Locust load testing platform on a catalog containing 7,000 metadata records reveals critical capacity thresholds for single GeoNetwork instances. Our tests simulate realistic user behavior including HTML page loading for metadata record viewing, providing concrete metrics for infrastructure planning and resource allocation decisions.\r\n\r\nGeoCat provides products to its customers that need to be fast, reliable and scalable. Moving the GeoCat Live product to a Kubernetes environment contributes to this goal.\r\n\r\nThe presentation concludes with recommendations for organizations implementing scalable GeoNetwork infrastructure, including when to choose vertical versus horizontal scaling approaches, and operational monitoring strategies essential for production deployments.", "recording_license": "", "do_not_record": false, "persons": [{"code": "GDVTCB", "name": "Jorge S. Mendes de Jesus", "avatar": null, "biography": "Jorge S. Mendes de Jesus is an Agronomist and geoinformatics specialist with a PhD in Geography and Sustainable Development from Ben-Gurion University. He has extensive experience in spatial data infrastructures, having worked at the Joint Research Center (ISPRA) as an OGC web service developer, Plymouth Marine Laboratory on remote sensing applications, and ISRIC on major projects including SoilGrids and WOCAT. Jorge currently runs TerraOps - Innovations (https://terraops.org), providing Geo-as-a-Service solutions and REST API development for geospatial data using the OSGeo stack. His expertise spans Python programming, Kubernetes deployment, and spatial data analysis for agricultural and environmental applications.", "public_name": "Jorge S. Mendes de Jesus", "guid": "85647afe-a73d-5d50-84ba-514a35847d05", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GDVTCB/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TJSB9P/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TJSB9P/", "attachments": []}, {"guid": "50b32423-caff-5233-904f-8f3518d5fa2d", "code": "JQYB79", "id": 4452, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/JQYB79/bridge-large_vmbmniH.png", "date": "2025-11-19T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4452-data-delivery-simplified-with-geocat-bridge", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JQYB79/", "title": "Data delivery simplified with GeoCat Bridge", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "Bridge is a plugin for your favorite desktop GIS that makes it easy to publish your data to map and catalog services. Soon it will also allow you to search and consume your OGC services.", "description": "If you need to publish your (meta)data to GeoServer and/or GeoNetwork straight from QGIS or even ArcGIS, GeoCat Bridge might just be the tool for you.\r\n\r\nIn this talk we'll show you how Bridge works and what it does: from converting native symbology into SLD or MapLibre GL JS, to publishing feature and raster layers to a variety of services, as well as publishing metadata records and linking them to your services.\r\n\r\nFurthermore, we're excited to announce the upcoming integrated Catalog Search functionality, which will allow you to search through OGC API Records from any server - including your own - and add the results directly to your desktop GIS.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BZBDEX", "name": "Jeroen Ticheler", "avatar": "https://talks.staging.osgeo.org/media/avatars/da1c26c299d7412be435dbe2e0a20616_E6dTxPM.jpg", "biography": "As director and owner of GeoCat, founder of GeoNetwork and board member of OSGeo, I\u2019m obsessed with helping organizing data using free and open source software in a sustainable way. \r\nI started my career at the United Nations supporting Early Warning Systems with satellite imagery and quickly moved to also support the management of geospatial data. Now, 25 years onwards, the software we develop runs at over 85% of national geoportal end points in Europe and is in use at all levels in governments around the world.", "public_name": "Jeroen Ticheler", "guid": "0a92428e-c543-5ff1-a4bc-14ebad12f694", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BZBDEX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JQYB79/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JQYB79/", "attachments": []}, {"guid": "48953df9-cfc6-5467-b5b4-3d74e4caf660", "code": "FAF9BC", "id": 4212, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/FAF9BC/arch1_WMYxrWi.png", "date": "2025-11-19T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4212-towards-universal-building-blocks-for-cloud-native-digital-twins", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FAF9BC/", "title": "Towards universal building blocks for cloud-native digital-twins", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "We present a scalable, interoperable, and extensible FOSS architecture for modern geospatial data ecosystem, based on DGGS. Exemplary, we introduce pydggsapi, a Python server implementing the new OGC DGGS API, that can serve large geospatial datasets from cloud-native Zarr and Parquet data stores indexed by a DGGS.", "description": "The exponential growth of Earth Observation (EO) data challenges our ability to efficiently access, process, and analyze it. Conventional web service standards like WCS and WMS have long provided standardized access, but there are challenges and work-arounds associated with the scale and complexity of global datasets, including coordinate system handling. In parallel, data cubes have become valued abstractions to analyse large-scale geospatial data over space and time. However, data cubes currently can only be implemented meaningfully in projected coordinate reference systems, which limits their extent before introducing too large areal distortions.\r\n\r\nA new paradigm is emerging, built on modern data structures, formats, and APIs. This paper introduces an architecture that integrates these innovations into a universal building block for geospatial data management. The foundation of this approach is the Discrete Global Grid System (DGGS). A DGGS offers a unified spatial reference framework, partitioning the Earth's surface into a hierarchy of cells. Equal-area DGGS like ISEA or HEALPix are particularly valuable for applications in fields like catchment hydrology and land use analysis, as they ensure statistical validity by maintaining consistent cell areas across the globe. The Open Geospatial Consortium (OGC) has formalized this paradigm through its DGGS Abstract Specification and the recently finalized the OGC API - DGGS standard, which specifies a lightweight web service for accessing DGGS-organized data.\r\n\r\nIn parallel, the scientific Python ecosystem has revolutionized data handling with tools like Xarray for labeled multi-dimensional arrays and its XDGGS extension for native DGGS operations. This analytical power is maximized when paired with cloud-native storage formats like Zarr. Inspired by pioneering FOSS projects like pygeoapi, TiTiler, or XPublish, our work seeks to bridge the gap between these powerful analytical backends and standardized, web-friendly access patterns.\r\n\r\nWe present pydggsapi, an open-source Python server built with FastAPI that implements the OGC DGGS API standard. It exposes cloud-optimized Analysis-Ready Data (ARD), such as Zarr archives or Parquet files, where data is indexed by high-resolution DGGS cells. This architecture creates a seamless continuum between two distinct operational scales. On one end, data scientists can perform large-scale modeling by directly accessing the DGGS-indexed Zarr archives in object storage using Xarray. On the other, lightweight web and mobile clients can consume the same underlying data through the standardized, RESTful pydggsapi interface, which is documented via a built-in OpenAPI/Swagger UI.\r\n\r\nWe present a conceptual framework that links data access middleware via OGC API DGGS and direct data access via cloud storage. On initialization, it connects to cloud-storage Zarr archives and extracts DGGS parameters - such as the grid type, indexing scheme, available refinement levels and variables. To optimize performance for clients, we also leverage a concept similar to classic image pyramids or overviews in Cloud-Optimized GeoTIFFs - pre-aggregating data to several DGGS refinement levels. These pyramids are efficiently can be represented using Zarr groups and the Xarray DataTree model, or in Parquet using partitioning. For light-weight interactive visualization, we implement a tiles endpoint serving Mapbox Vector Tiles (MVT) on-the-fly. This enables highly efficient in-browser rendering with WebGL libraries like MapLibre GL JS. Alternatively, DGGS-aware clients can access the DGGS API endpoints directly and request data formats like DGGS-JSON. The architecture is also extensible, featuring a connector for the ClickHouse database to serve fast, on-demand analytical queries on DGGS-indexed tables, as explored in the OGC Testbed-16 report.\r\n\r\nThis overall architecture enables advanced analysis in geomorphology, land cover change, or hydrology, by accessing the full data via extensible compute frameworks like Xarray or even Apache Spark directly from cloud-based object storage. For instance, a researcher studying catchment-scale erosion can query pydggsapi for all land cover and slope data DGGS cells within their basin. The API backend accesses a massive, continental-scale Zarr dataset, and only extracts the required data. Alternatively, the user can execute an Xarray batch job computes the necessary statistics, and returns a comprehensive analysis result. In addition, user can easily coalesce data from other DGGS enabled data sources via simple cell-id based joins. This allows for a much simpler data federation.\r\n\r\nWhile initial benchmarks are promising, the implementation has limitations that guide future work. Xarray\u2019s indexing of dimensions can consume significant memory with very large DGGS archives, when trying to load the full array of all DGGS cell ids. Here we compare the access with Parquet, which always gets scanned on-demand, and explore more direct Zarr-native access patterns and DGGS cell index representations. Also, the strict requirements of the OGC DGGS API, such as subzone ordering, also present implementation challenges for certain DGGS types, highlighting ongoing needs in the FOSS DGGS software landscape.\r\n\r\nThe integration of a FOSS OGC DGGS API implementation with cloud-native Zarr storage represents a significant step toward universal building blocks for Earth Observation. This approach offers a powerful, dual-access pattern that serves both high-performance computing and lightweight clients from a single, consistent data foundation. In addition, joining various data variables from different data providers will be trivial based on the DGGS cell ids. We believe this model also charts a path toward a new generation of value-added, GeoAI-ready data market APIs.", "recording_license": "", "do_not_record": false, "persons": [{"code": "PQFYHP", "name": "Alexander Kmoch", "avatar": "https://talks.staging.osgeo.org/media/avatars/propic_Alexander_Kmoch_geog2_0fBoMB2.png", "biography": "Alex is an Associate Professor in Geoinformatics and a Distributed Spatial Systems Researcher with many years of experience in open-source geospatial data management and web- and cloud-based geoprocessing with a particular focus on land use, soils, hydrology, hydrogeology and water quality data. His interests include Discrete Global Grid Systems (DGGS), OGC standards and web-services for environmental and geo-scientific data sharing, modelling workflows and interactive geo-scientific visualisation.\r\n\r\nAlex completed a Marie Sk\u0142odowska-Curie Individual Fellow (MSCA) with our Landscape Geoinformatics working group on improving standardised data preparation, parameterization and parallelisation for hydrological and water quality modelling across scales and has now started a 5-year project on spatial modelling of soil properties using machine-learning.", "public_name": "Alexander Kmoch", "guid": "f982ce9d-e4ac-586d-ba7f-3c01bf216bb5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PQFYHP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FAF9BC/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FAF9BC/", "attachments": []}, {"guid": "23933355-c53a-5b99-9fe1-2e6337eb4558", "code": "TLCCXY", "id": 4495, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/TLCCXY/Seeing_Through_the_Crowds_Eyes_YMmP2fL.png", "date": "2025-11-19T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4495-seeing-through-the-crowd-s-eyes-ai-powered-urban-insights-from-street-imagery", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TLCCXY/", "title": "Seeing Through the Crowd\u2019s Eyes: AI-Powered Urban Insights from Street Imagery", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "This talk presents applications of GeoAI using street-level imagery and spatial analytics: detecting and mapping traffic signs, prioritising urban heat mitigation for active travel, assessing liveable streets through social-spatial configurations, and comparing perceived versus measured built environments. Together, they demonstrate scalable, data-driven approaches to inform urban planning.", "description": "Seeing Through the Crowd\u2019s Eyes: AI-Powered Urban Insights from Street Imagery\r\n\r\nIntroduction\r\n\r\nCities are dynamic systems shaped by the interplay between built form and human experience. Traditional approaches to urban informatics often rely on top-down spatial data, such as remote sensing and census statistics, which are limited in capturing how people perceive and interact with urban space. The emergence of human-centred GeoAI offers an alternative approach by integrating street-level imagery with spatial analytics to understand cities from the perspective of their inhabitants.\r\n\r\nStreet view imagery (SVI) from platforms such as Google Street View and Mapillary provides immersive, ground-level visual data that mirrors the pedestrian experience of the city. Combined with advances in computer vision, machine learning, and geographic information systems (GIS), these data enable fine-grained assessments of urban conditions, ranging from infrastructure quality and visual aesthetics to safety and comfort. This paper presents four implementation case studies that apply object detection, semantic segmentation, and perceptual modelling to address pressing issues in urban infrastructure, climate resilience, street livability, and urban form perception.\r\n\r\nBackground: Human-Centred GeoAI and Street-Level Imagery\r\n\r\nHuman-centred GeoAI refers to the integration of artificial intelligence techniques with spatial data to model, interpret, and support human experiences in the built environment. It draws from computer vision, geospatial science, and human geography to create tools and insights that are sensitive to both objective spatial metrics and subjective perceptions.\r\n\r\nStreet-level imagery is particularly well-suited for human-centred GeoAI. Unlike satellite or aerial imagery, SVI captures the visual field as experienced by pedestrians, enabling assessments of visual enclosure, greenery, safety cues, signage, and cleanliness. Combined with deep learning techniques, these images can be analysed to detect objects, classify urban scenes, or infer human perceptions at scale.\r\n\r\nMethods\r\n\r\nAcross all four case studies, we employed deep learning techniques, including object detection and semantic segmentation, applied to SVI. Outputs were integrated with spatial data in GIS to produce interpretable urban metrics and policy-relevant insights.\r\n\r\nObject Detection: In the first study, we used the DNN object detection framework to identify Stop and Give Way signs from Google Street View images. These bounding boxes were geo-located using photogrammetric triangulation and integrated into GIS for validation and spatial pattern analysis.\r\n\r\nSemantic Segmentation for Environmental Features: For climate-sensitive urban assessment, we developed a convolutional neural network model to segment tree canopy, buildings, and sky from SVI. The percentage of each class was calculated for each street segment and analysed in conjunction with land surface temperature and social vulnerability indices.\r\n\r\nSpace Syntax and Visual Composition: In the third study, segmented streetscape compositions (sky, tree, and building percentages) were mapped and compared with space syntax metrics such as integration and connectivity. These spatial-social variables were analysed to determine the alignment between physical form and social interaction potential.\r\n\r\nSemantic-Based Human-Labelled Perceptions: Human perception was measured using Mapillary SVI and the MIT Places Pulse 2.0 dataset through semantic segmentation performed with deep residual networks (ResNet50), pre-trained on the ADE20K dataset. The Places Pulse dataset includes over 100,000 SVIs across 56 cities, including Melbourne, rated by participants on six perceptual indicators: Beautiful, Wealthy, Livable, Safe, Boring, and Depressing.\r\n\r\nTo infer perceptual scores from SVIs, we trained six Radial Basis Function (RBF) kernel Support Vector Machine (SVM) models on the Places Pulse dataset. Semantic segmentation translated the visual content of each image into categorical features, which were then used as input for the SVM models. Five-fold cross-validation ensured robustness across varying parameter settings. These models were subsequently applied to the Mapillary SVI dataset in Melbourne, generating spatial surfaces of perceived urban quality.\r\n\r\nCase Studies\r\n\r\nTraffic Sign Detection and Spatial Registration\r\n\r\nLocal governments require accurate records of street signage for safety and regulatory compliance. Our object detection pipeline achieved 95.63% detection accuracy and 97.82% classification accuracy for Stop and Give Way signs in selected areas of Melbourne. The derived locations were mapped in GIS and compared against council asset layers. This open-source workflow enables cost-effective monitoring and maintenance of road infrastructure, and is transferable to other signage types and cities.\r\n\r\nHeat-Resilient Streetscape Planning for Active Travel\r\n\r\nWe identified microclimatic disparities in Bendigo's active travel corridors using street-level segmentation of tree cover and sky openness. Combining these results with satellite LST and census-derived vulnerability indices revealed areas where thermally uncomfortable walking environments overlapped with high pedestrian exposure and low greening. This informed a prioritised plan for tree planting and shading infrastructure. The method provides a scalable, equity-focused tool for urban heat adaptation.\r\n\r\nAssessing Streetscape and Social Integration Using Space Syntax\r\n\r\nFocusing on Greater Bendigo, we examined whether visually well-designed streetscapes aligned with high social interaction potential. Integration and connectivity scores from space syntax were correlated with visual segmentation outputs. Results showed that areas with high space syntax scores did not always align with aesthetically rich environments. This suggests the need for integrated design and network planning to promote livability. Demographic overlays showed older populations gravitating to highly connected areas, highlighting the social implications of spatial configuration.\r\n\r\nPerceived vs. Measured Urban Form\r\n\r\nIn metropolitan Melbourne, we compared the Places Pulse-based perceptual scores derived from ResNet + SVM models with objective spatial metrics for the 5D dimensions of urban design: Density, Diversity, Design, Distance to Transit, and Destination Accessibility. Our analysis confirmed that areas with moderate density, high walkability, and green space were perceived as livable and safe. However, in very high-density zones, perceptions shifted negatively, with terms like \"Depressing\" and \"Boring\" appearing more frequently. These mismatches point to the need for planners to consider not just what is built, but how it is experienced.\r\n\r\nDiscussion\r\n\r\nThese case studies collectively demonstrate the potential of human-centred GeoAI to bridge the gap between technical urban analytics and lived urban experience. By leveraging crowd-sourced imagery and advanced computer vision models, planners and policymakers can generate fine-scale, scalable insights into infrastructure, climate vulnerability, social inclusion, and perceptual quality.\r\n\r\nThe combination of image analysis and spatial reasoning opens new avenues for participatory planning and targeted intervention. For example, the ability to spatially map perceptions of safety or beauty enables a deeper understanding of place attachment and mental well-being. Similarly, detecting infrastructure assets and environmental features at scale supports more equitable service delivery.\r\n\r\nConclusion and Future Work\r\n\r\nHuman-centred GeoAI grounded in street-level imagery offers a promising path for more inclusive, responsive, and perceptive urban analytics. Future work will extend these methods to other cities across Australia and globally, refine perception models with more culturally specific training data, and develop interactive tools for real-time urban planning and public engagement.\r\n\r\nBy embedding human perception into spatial modelling and leveraging scalable, open-source tools, we move closer to cities that are not only functionally efficient but also emotionally resonant and equitable for all.", "recording_license": "", "do_not_record": false, "persons": [{"code": "778BEK", "name": "Qian (Chayn) Sun", "avatar": "https://talks.staging.osgeo.org/media/avatars/778BEK_b7oCEdv.webp", "biography": "Associate Professor Qian (Chayn) Sun is a geospatial scientist specializing in urban informatics, GeoAI, and environmental health. She leads the GISail research group at RMIT University, focusing on developing advanced geospatial solutions to improve urban resilience and sustainability. Her research integrates spatial analytics, remote sensing, and machine learning to address complex challenges in urban planning, climate change mitigation, and public health. Chayn has led several key projects with AURIN, including the Integrated Heat Vulnerability Assessment Toolkit, and the development of a national database on Culturally and Linguistically Diverse (CALD) communities to analyze health and environmental inequalities, has published extensively on social vulnerability and heat-health risk in Australian cities. She is also dedicated to mentoring postgraduate students and fostering interdisciplinary collaboration.", "public_name": "Qian (Chayn) Sun", "guid": "4d58e6b9-804f-5bbd-94b1-81e8603f14c9", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/778BEK/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TLCCXY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TLCCXY/", "attachments": [{"title": "GISail", "url": "/media/foss4g-2025/submissions/TLCCXY/resources/GISail_logo_simple_RMIT_ekSj5aE.PNG", "type": "related"}]}, {"guid": "d60868e6-d6bb-5600-a6e6-b0db8e6f91a2", "code": "TCZTK7", "id": 4450, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/TCZTK7/UNVTportable_prototype2025_TURRVox.jpg", "date": "2025-11-19T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4450-performance-comparison-of-an-offline-pmtiles-powered-map-server-running-on-a-raspberry-pi-for-decentralized-geospatial-access", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TCZTK7/", "title": "Performance Comparison of an Offline PMTiles-Powered Map Server Running on a Raspberry Pi for Decentralized Geospatial Access", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "UNVT Portable, a Raspberry Pi server, streams PMTiles from a microSD card (up to 512 GB) without internet or database. Preloaded with OSM Planet, global DEM, and thematic layers, it\u2019s benchmarked against cloud solutions for latency, throughput, energy, and storage efficiency, proving effective for UN field operations.", "description": "### 1. Introduction\r\nModern web-mapping stacks like Google Maps and Mapbox deliver rich cartography by pushing pre-rendered tiles from cloud storage into a browser. Formats like COG and PMTiles have improved access but still rely on data centers with steady fiber, power, and credit cards. In regions with unstable connectivity, this model fails.\r\n\r\nDiscussions by Cedeno Jimenez et al. (2022) and Rawal et al. (2024) highlight the need for decentralized geospatial information using blockchain and NFTs. However, even open datasets like OpenStreetMap often rely on centralized servers. The necessity of offline web maps, as noted by Esmail (2019), Paul et al. (2019), and Olyazadeh et al. (2017), has not been practically implemented. This study aims to measure the performance of a mobile web map server for UN operations.\r\n\r\n### 2. Research Objectives\r\nUNVT Portable aims to quantify the capabilities of a mobile web map server. The study has four objectives:\r\n\r\na. Design a reproducible hardware-software recipe to turn a Raspberry Pi into a zero-configuration tile server.\r\n\r\nb. Construct a reference dataset\u2014global OSM Planet vector tiles, Global DEM, Satellites/Aerial photos, and thematic layers\u2014packed into a PMTiles archive on a 512 GB MicroSD card.\r\n\r\nc. Benchmark PMTiles against a canonical S3/CloudFront deployment across latency, throughput, energy, and storage footprint.\r\n\r\nd. Evaluate operational suitability for UN field missions requiring 24/7 availability under erratic connectivity and power budgets.\r\n\r\n### 3. System Architecture\r\n\r\n**Hardware:**\r\n- Raspberry Pi 5 (8 GB RAM) with a 512 GB MicroSD Card\r\n- 2.4 GHz Wi-Fi in access-point mode, emitting SSID: UNVTportable\r\n- 20,000 mAh USB power bank capable of Power Delivery at 5V / 3A\r\n\r\n**Software:**\r\n- Raspberry Pi OS LITE (64-bit)\r\n- Nginx\r\n- Network Manager for local Wi-Fi\r\n- MapLibre GL JS\r\n\r\n### 4. Method\r\nWe measured the access performance of raster and vector tile data stored as PMTiles files on an SD card within a Raspberry Pi, evaluating latency, throughput, and other factors. This was compared to internet-based access to raster and vector tiles in a typical cloud environment. We also compared the access performance of PMTiles against raw raster and vector tiles extracted into folders as XYZ tiles. Field tests determined if 24-hour continuous operation is feasible using a standard mobile battery, even without internet connectivity and during power outages. We also tested usability in environments affected by natural disasters or lacking infrastructure.\r\n\r\n### 5. Results\r\nBoth raster and vector tile data stored in PMTiles format on a Raspberry Pi's SD card demonstrated access performance (latency and throughput) equal to or surpassing that of tile datasets hosted in online cloud environments. When comparing access performance in a local environment between PMTiles-format tile data and raw raster and vector tiles extracted into folders as XYZ tiles, PMTiles was found to be sufficiently effective. Field tests confirmed that continuous operation for over 14 hours is possible with consumer-grade mobile batteries of 20,000 mAh or higher.\r\n\r\n### 6. Discussion\r\nThe PMTiles format excels in offline environments due to its single-file architecture, consolidating millions of HTTP requests into efficient linear range requests. This design is advantageous on microSD cards, where random seek times can impact performance. By minimizing these seeks, PMTiles delivers faster response times, enhancing user-perceived speed in resource-constrained settings. The format\u2019s streamlined structure simplifies critical field operations, such as checksum verification and data copying, reducing the risk of errors during data transfers. PMTiles\u2019 compatibility with lightweight hardware like Raspberry Pi optimizes storage efficiency and reduces power consumption, making it ideal for decentralized, offline mapping applications, including UN field operations.\r\n\r\n### 7. Conclusion\r\nThe UNVT Portable system showcases the potential of a \u20ac200, pocket-sized Raspberry Pi-based computer to provide global-scale, interactive mapping capabilities with performance rivaling cloud-based solutions, all while operating entirely offline. Comprehensive benchmarks validate its exceptional performance, demonstrating low latency and significant throughput advantages over traditional XYZ raw tile formats. The system achieves an impressive full day\u2019s battery life using standard commodity power banks, enhancing its practicality for extended field use. These results represent a pivotal advancement toward decentralizing geospatial data access, transforming interactive maps from a cloud-dependent privilege into a universally accessible resource. UNVT Portable fosters egalitarian access to critical geospatial information, empowering communities, humanitarian workers, and volunteers in remote or underserved regions to leverage mapping technology effectively.", "recording_license": "", "do_not_record": false, "persons": [{"code": "KZQBHV", "name": "Taichi Furuhashi", "avatar": "https://talks.staging.osgeo.org/media/avatars/taichifuruhashi_kao2_l2AxKad.jpg", "biography": null, "public_name": "Taichi Furuhashi", "guid": "1149ba4c-305e-5183-b0a0-a203d60d52f7", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KZQBHV/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TCZTK7/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TCZTK7/", "attachments": []}, {"guid": "71f7b53f-dc02-5f96-a01f-19cb6ce188fb", "code": "BELNJN", "id": 4320, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/BELNJN/logo_undertext_c8226Py.svg", "date": "2025-11-19T15:30:00+13:00", "start": "15:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4320-manage-your-fieldwork-directly-from-your-app-with-qfieldcloud-api-integration", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BELNJN/", "title": "Manage your fieldwork directly from your app with QFieldCloud API integration", "subtitle": "", "track": "Desktop GIS & Data Collection", "type": "Talk", "language": "en", "abstract": "Get familiar with the latest QFieldCloud development, QFieldCloud RESTful API and the QFieldCloud SDK.", "description": "QField helps people map and understand the world, QFieldCloud helps people automate their data collection and fieldwork.\r\n\r\nIf your organization already has an application that manages processes and workflows, or you simply want to run a nightly cron to automate processing on your data, the QFieldCloud RESTful API will help you do that.\r\n\r\nWe will look at some of the newest QFieldCloud features and how we can access them via QFieldCloud CLI, QFieldCloud SDK or simply by running a HTTP request against QFieldCloud API endpoint.", "recording_license": "", "do_not_record": false, "persons": [{"code": "MYMVUL", "name": "Ivan Ivanov", "avatar": "https://talks.staging.osgeo.org/media/avatars/cb99d7b158e420ea430bb3f1b0d7bdb6_afcIdy9.jpg", "biography": "I am the lead developer and product owner of QFieldCloud, part of OPENGIS.ch. I also do QGIS, QField, pyQGIS and Django development. Based in Bulgaria, citizen of the world.", "public_name": "Ivan Ivanov", "guid": "72bcd292-7ba6-53b2-97f2-e95ed95a0435", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/MYMVUL/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BELNJN/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BELNJN/", "attachments": []}, {"guid": "6dfa04ea-8789-5ee0-977c-c9aa34d617cd", "code": "KBYFFX", "id": 4186, "logo": null, "date": "2025-11-19T16:00:00+13:00", "start": "16:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4186-re-making-cirrus-five-years-building-a-data-orchestration-framework", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KBYFFX/", "title": "(Re)Making Cirrus: Five Years Building a Data Orchestration Framework", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "A retrospective on building cirrus, a cloud-native framework for building STAC-based data orchestration pipelines. We'll look at the design and architecture evolution over five years of development and some lessons learned adapting to ecosystem and requirement changes.", "description": "Cirrus is an open source, cloud-native framework for orchestrating geospatial data pipelines built using the concept of STAC (SpatioTemporal Asset Catalog) workflows. It provides a flexible and modular approach to deploying and managing serverless pipelines in AWS via python components and a Terraform-based deployment mechanism. Cirrus enables scalable, repeatable data processing workflows in the cloud, and is designed to help teams transform, validate, and catalog geospatial data in STAC-compliant formats at scales both large and small.\r\n\r\nOver the past five years, cirrus has evolved from a directory of loosely-organized bits of configuration and components built on top of the Serverless Framework to a robust, open source cloud-native data pipeline management system. In this talk, I\u2019ll share my journey maintaining and evolving cirrus from what I inherited to its current state, and lessons I\u2019ve learned along the way.\r\n\r\nTogether we\u2019ll explore cirrus\u2019 origins and the original architecture and its challenges. We\u2019ll examine the decision to shift away from duplicating deployment code via the configuration merge system of the first cirrus CLI, and what benefits and pitfalls that brought along with it. We\u2019ll trace some of the tooling and ideas that spun out along the way, like stac-task and swoop. Finally, we\u2019ll look at the version 1.0 release\u2019s move away from Serverless Framework and the decoupling of the deployment logic from the codebase, the new cirrus Terraform module, and how this 1.0 release has prompted the reconsideration of what actually constitutes cirrus now.\r\n\r\nWhether you're maintaining your own internal tooling, building cloud-native data processing pipelines, or just trying to keep an open source project healthy through shifting technical landscapes, this talk will offer practical insights drawn from real-world experience. We'll cover the technical decisions, tradeoffs, and lessons learned\u2014especially those relevant to anyone maintaining cloud-native tooling in a fast-moving landscape.", "recording_license": "", "do_not_record": false, "persons": [{"code": "8TAMEN", "name": "Jarrett Keifer", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_7316_crop_a35B92h.jpeg", "biography": "Jarrett Keifer is a Senior Geospatial Software Engineer at Element 84, a commercial geospatial consultancy that uses open-source to build effective customer solutions. His interests include education and outreach, geospatial data formats, and high-performance systems/network programming. He enjoys designing systems to operate at scale, particularly to support remote sensing data processing and earth science applications, and has over ten years of experience contributing to open source projects.", "public_name": "Jarrett Keifer", "guid": "a96982f6-47e9-53fd-9d40-f07ed7f44fa6", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8TAMEN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KBYFFX/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KBYFFX/", "attachments": []}, {"guid": "abe6a30b-2398-5808-bb87-944dca49a22d", "code": "WPLVJQ", "id": 4441, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/WPLVJQ/tradeoff_plot_urjIj9z.png", "date": "2025-11-19T16:30:00+13:00", "start": "16:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4441-geoai-transformer-lstm-boosts-maize-yield-accuracy-in-malawi-s-smallholder-fields", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WPLVJQ/", "title": "GeoAI Transformer\u2013LSTM Boosts Maize-Yield Accuracy in Malawi\u2019s Smallholder Fields", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "Leave-one-field-out tests on Malawian smallholder plots compare multiband/index linear regression, XGBoost, CNN-LSTM, a frozen ViT and a ViT-LSTM on Sentinel-2 VT\u2013R1 stacks. ViT-LSTM delivers the best accuracy (RMSE 0.022 t ha\u207b\u00b9) but runs 2.5 \u00d7 slower than CNN-LSTM.", "description": "1. Introduction\r\n\r\nMaize supplies almost 60 % of Malawi\u2019s caloric intake, so mid-season yield forecasts are pivotal for food-security planning (FAO, 2015). Conventional ground surveys reach farmers only after harvest and sample < 1 % of the 1.8 million smallholdings. Optical earth-observation offers plot-scale coverage, and deep learning is now outperforming index-based regressions (Muruganantham et al., 2022). Transformers have recently eclipsed CNNs in US Corn-Belt studies (Lin et al., 2023), yet their benefit for densely inter-cropped African fields is unknown. We therefore benchmark five modelling paradigms, ranging from linear regression to a novel Vision-Transformer\u2013LSTM (ViT-LSTM) hybrid, on a hand-harvested dataset from Zomba District.\r\n\r\n2. Materials and Methods\r\n\r\nEight rain-fed maize fields (0.2 \u2013 0.9 ha) in Zomba District were GPS-delineated during the 2024/25 season. Grain harvested from ten 10 m \u00d7 10 m quadrats per field was dried to 13 % moisture and weighed, yielding plot-level reference values.\r\n\r\nSentinel-2 Level-2A surface reflectance (13 bands) was accessed via Google Earth Engine (GEE). Scenes acquired between 1 December 2024 and 28 February 2025, vegetative tasselling to first silking (VT\u2013R1), were cloud-masked with s2cloudless and aggregated into rolling 10-day medians. All bands (native 10 m / 20 m) were re-projected to EPSG:32736 (UTM 36 S) and bilinearly up-sampled to 1 m to produce inputs compatible with CNN and ViT backbones pre-trained on large-dimension Sentinel-2 imagery (e.g., BigEarthNet). For each field, images were tiled using a 32 \u00d7 32 px sliding window with a 16 px stride, augmenting the sample count. Five spectral indices, NDVI, EVI, red-edge NDVI, NDWI, and MSI, were computed from the 1m bands so that every raster layer shared the same grid.\r\n\r\n2.1. Models\r\n* LR-Indices: ordinary-least-squares regression implemented with PyTorch BSD-licensed Linear layer, applied to 10-day means of the five indices and raw bands.\r\n* XGBoost: gradient-boosted decision trees using the Apache-2.0 XGBoost library on aggregated bands + indices, fully open source and cross-platform.\r\n* CNN-LSTM: frozen ResNet-101 encoder pretrained on the open BigEarthNet v2.0 Sentinel-2 archive, released under the CDLA-Permissive licence; its patch embeddings and mean indices feed a three-layer LSTM, all implemented in PyTorch (BSD licence).\r\n* Frozen ViT: ViT-B16 encoder pretrained on the same BigEarthNet weights, kept frozen; token sequence plus mean indices pass to a linear head; codebase remains entirely PyTorch and open source.\r\n* ViT-LSTM (proposed): shares the open-source ViT encoder above, but pools tokens and mean indices with an LSTM decoder; the full pipeline (data and code) is published under GPL-3.0 in our repository.\r\n\r\nAll models were implemented in PyTorch 2.3 and trained on an NVIDIA Quadro P1000 GPU. Hyper-parameters were optimised with Optuna. Deep networks trained for 50 epochs using AdamW, cosine-annealed learning rates, batch = 1, FP16 mixed precision, and early-stopping (patience = 10). A leave-one-field-out (LOFO) scheme ensured each field served once as the unseen test set. Performance was assessed with RMSE and MAE. Exact paired-permutation tests compared fold-wise RMSEs, and average inference time per tile was computed for every fold.\r\n\r\nAll code, configuration files, and anonymised data are released under GPL-3.0 at https://github.com/jahnical/yield-pred-models-comp, enabling full replication of the workflow.\r\n\r\n3.  Results\r\n* Accuracy:\u2003ViT-LSTM achieved the lowest cross-validated RMSE 0.022 t ha\u207b\u00b9 and MAE 0.019 t ha\u207b\u00b9. CNN-LSTM followed at RMSE 0.088 t ha\u207b\u00b9; frozen ViT, 0.219 t ha\u207b\u00b9. XGBoost and LR-Indices exceeded 0.22 t ha\u207b\u00b9.\r\n* Significance:\u2003Both recurrent models (CNN-LSTM and ViT-LSTM) significantly out-performed non-recurrent baselines (p \u2264 0.02). The gap between ViT-LSTM and CNN-LSTM was also significant (p = 0.046).\r\n* Speed:\u2003LR-Indices and XGBoost predicted in < 0.02 ms per tile. CNN-LSTM needed 14 ms, whereas ViT-LSTM required 36 ms, 2.5 times slower.\r\n\r\n4. Discussion\r\n\r\nExplicit spatio-temporal learning is critical because Malawi\u2019s smallholder plots are tiny, irregular and often inter-cropped; spectral signatures therefore vary sharply over just a few metres and change quickly as plants develop. Recurrent layers already capture the crop\u2019s phenological curve, but the self-attention blocks in the transformer let the model weigh non-contiguous pixels and dates, teasing out subtle edge effects and mixed-crop patterns that a CNN-LSTM misses (Liu et. el, 2023). That extra context cuts RMSE by \u2248 0.07 t ha\u207b\u00b9 (about 60 %), yet self-attention is quadratic in sequence length, so inference jumps from 14 ms to 36 ms per 32 by 32 px 1 m-tile, a 2.5\u00d7 latency cost.\r\n\r\nData is streamed through Google Earth Engine, a free (though not open-source) cloud platform, while QGIS for vector editing, Rasterio/xarray for raster I/O, and PyTorch/XGBoost for modelling are fully open-source. This workflow demonstrates how combining free cloud access with FOSS4G tools can deliver high-resolution, scalable yield mapping in resource-constrained settings.\r\n\r\n5. Conclusion\r\n\r\nWe present the first open-source, plot-scale benchmark that pits classical machine-learning models, CNN-LSTM, and a transformer\u2013recurrent hybrid on Malawian maize yields. ViT-LSTM attains state-of-the-art accuracy (RMSE 0.022 t ha\u207b\u00b9), an 60 % improvement over CNN-LSTM, at a four-fold latency cost. All code and data are freely released, inviting the FOSS4G community to replicate, critique, and extend the workflow to other crops, sensors, and regions.\r\n\r\nReferences (abridged)\r\n1. Chen T & Guestrin C (2016) XGBoost: A scalable tree-boosting system. KDD.\r\n Dosovitskiy A et al. (2021) An image is worth 16\u00d716 words: Transformers for image recognition at scale. ICLR.\r\n2. FAO (2015) National Investment Profile: Water for Agriculture and Energy \u2013 Malawi.\r\n3. Gaddy D, Li K & Eisner J (2022) Exact paired-permutation testing for structured test statistics. NAACL-HLT.\r\n4. Krause J, Smith L & Brown M (2019) A CNN-RNN framework for crop-yield prediction. Frontiers in Plant Science 10:1750.\r\n5. Lin F et al. (2023) MMST-ViT: Climate-change-aware crop-yield prediction via multi-modal spatial-temporal Vision Transformer. ICCV.\r\n6. Muruganantham P et al. (2022) Systematic review on crop-yield prediction with deep learning and remote sensing. Remote Sensing 14(9):1990.\r\n7. Zupanc A et al. (2023) s2cloudless: An open-source cloud mask for Sentinel-2. Earth Science Informatics 16:399\u2013415.\r\n8. Li, C., Chimimba, E. G., Kambombe, O., Brown, L. A., Chibarabada, T. P., Lu, Y., \u2026 Dash, J. (2022). Maize yield estimation in intercropped smallholder fields using satellite data in Southern Malawi. Remote Sensing, 14(10), 2458.\r\n9. Sumbul, G., Utilkar, Y., Kaplan, S., & Demir, B. (2021). BigEarthNet-MM: A large-scale multi-modal benchmark archive for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 182, 49-62.\r\n10. Liu, F., Jiang, X., & Wu, Z. (2023). Attention Mechanism-Combined LSTM for Grain Yield Prediction in China Using Multi-Source Satellite Imagery. Sustainability, 15(12), 9210. https://doi.org/10.3390/su15129210", "recording_license": "", "do_not_record": false, "persons": [{"code": "PKUHMX", "name": "Kondwani Munthali", "avatar": "https://talks.staging.osgeo.org/media/avatars/WhatsApp_Image_2025-11-18_at_05.16.42_yaOoInR.jpeg", "biography": "Kondwani Godwin Munthali is a Senior Lecturer in Computer Science and Head in the Department of Computer Science, Chancellor College - University of Malawi. He has also previously served as Deputy Head and programme coordinator for the MSc in Informatics. Kondwani holds a PhD in Geo-Environmental Science from University of Tsukuba, Japan; Master of Science in GIS degree from the University of Leeds, England and Bachelor of Science degree majoring in Computer Science and minor Electronics from University of Malawi \u2013 Chancellor College.\r\nKondwani has over ten years\u2019 teaching experience in institutions of higher learning for both undergraduate and postgraduate computer science and geoinformation science students. He is also involved in the supervision of both postgraduate and undergraduate students. He has demonstrated skills in curriculum development and review through involvement in the development of undergraduate programmes for University of Malawi (BSc Computer Science, Information Systems and Computer Network Engineering), Malawi University of Science and Technology (BSc in Geoinformation Science) and postgraduate programmes for University of Malawi (MSc in informatics and Bioinformatics and PhD in Computer Science and Information Systems).\r\nKondwani has over ten years\u2019 experience in software development (database and system architectural design) through a number of projects where he served as lead software developer, database designer and GIS expert for the Ministry of Agriculture, Irrigation and Water Development through World Bank, Department of Energy Affairs through UNDP, Malawi Institute of Tourism through GIZ, MHealth4Africa, Ministry of Education through FEDOMA, Department of E-Government, ASI and National Aids Commission. His research interests are geospatial computing especially geospatial database designing and modelling. Through this assignment, he is keen to develop geospatial capacity in Malawi using open-source software through his accumulated experience in software like Ubuntu, MySQL, PostgreSQL, PostGIS, QGIS Desktop, QGIS Server, Qt, GeoServer, GeoNode\r\nKondwani is also vastly experienced in training needs assessment, curriculum development and IT capacity development. He has previously served as a lead facilitator in trainings for the projects: NAMIS, MHealth4Africa, Ministry of Education through FEDOMA, Department of E-Government, ESCOM staff ICT capacity building", "public_name": "Kondwani Munthali", "guid": "b62dbfb6-0ac4-58bd-9c83-194951090e1e", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PKUHMX/"}, {"code": "KMLGS9", "name": "Mathews Jere", "avatar": "https://talks.staging.osgeo.org/media/avatars/WhatsApp_Image_2025-03-28_at_3.09.08_PM_Bk3VfSL.jpeg", "biography": "Mathews Jere is a Malawian computer scientist and MSc candidate in Informatics at University of Malawi (UNIMA). His research blends open-source geo-AI, satellite imagery and computer vision.", "public_name": "Mathews Jere", "guid": "378a4d1c-19a3-5821-9f95-9447feea59db", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KMLGS9/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WPLVJQ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WPLVJQ/", "attachments": []}]}}, {"index": 4, "date": "2025-11-20", "day_start": "2025-11-20T04:00:00+13:00", "day_end": "2025-11-21T03:59:00+13:00", "rooms": {"WG306 Foyer": [{"guid": "a80a8abb-ccb9-57b4-b91b-d3c334843ddb", "code": "3W8Y9W", "id": 4697, "logo": null, "date": "2025-11-20T08:00:00+13:00", "start": "08:00", "duration": "09:00", "room": "WG306 Foyer", "slug": "foss4g-2025-4697-3-registration", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3W8Y9W/", "title": "Registration", "subtitle": "", "track": "Registration", "type": "Registration", "language": "en", "abstract": "FOSS4G 2025 Auckland Conference Registration", "description": "FOSS4G 2025 Auckland Conference Registration", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3W8Y9W/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3W8Y9W/", "attachments": []}], "RocketMan": [{"guid": "bcec6481-a4a3-5f3a-b274-64a3dc728bbc", "code": "GR8LGK", "id": 4726, "logo": null, "date": "2025-11-20T18:00:00+13:00", "start": "18:00", "duration": "04:00", "room": "RocketMan", "slug": "foss4g-2025-4726-geochicas", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GR8LGK/", "title": "Geochicas", "subtitle": "", "track": "Social Event", "type": "Social Event", "language": "en", "abstract": "GeoChicas is a group of women who do mapping in OpenStreetMap and work to close the gender gap in the OpenStreetMap community.", "description": "GeoChicas is a group of women who do mapping in OpenStreetMap and work to close the gender gap in the OpenStreetMap community.\r\nEvent will be held at RocketMan, 8 Roukai Lane, Auckland Central", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GR8LGK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GR8LGK/", "attachments": []}], "Amano": [{"guid": "8130913d-2101-5835-89c6-ed74e2f14e1d", "code": "TAQKBE", "id": 4727, "logo": null, "date": "2025-11-20T07:00:00+13:00", "start": "07:00", "duration": "02:00", "room": "Amano", "slug": "foss4g-2025-4727-women-in-geospatial-breakfast", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TAQKBE/", "title": "Women in Geospatial Breakfast", "subtitle": "", "track": "Social Event", "type": "Social Event", "language": "en", "abstract": "Women in Geospatial Breakfast Event", "description": "Women in Geospatial Breakfast Event.\r\n7 am at Amano, 66 - 68, Tyler Street, Britomart Place, Auckland", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TAQKBE/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TAQKBE/", "attachments": []}], "WG201 Exhibition & Catering": [{"guid": "b83d7842-35ef-5d2f-986b-538309d8c05f", "code": "WDUCCK", "id": 4693, "logo": null, "date": "2025-11-20T10:30:00+13:00", "start": "10:30", "duration": "00:30", "room": "WG201 Exhibition & Catering", "slug": "foss4g-2025-4693-3-morning-break", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WDUCCK/", "title": "Morning Break", "subtitle": "", "track": "Break", "type": "Morning Tea", "language": "en", "abstract": "This is the time where you can have a 30min break to recharge with Tea, Coffee, Juice, Water and Food", "description": "This is the time where you can have a 30min break to recharge with Tea, Coffee, Juice, Water and Food", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WDUCCK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WDUCCK/", "attachments": []}, {"guid": "a99ef5e1-deb1-5408-b952-fc9668ee1272", "code": "MFNPZ8", "id": 4695, "logo": null, "date": "2025-11-20T12:30:00+13:00", "start": "12:30", "duration": "01:00", "room": "WG201 Exhibition & Catering", "slug": "foss4g-2025-4695-3-lunch-break", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MFNPZ8/", "title": "Lunch Break", "subtitle": "", "track": "Break", "type": "Lunch", "language": "en", "abstract": "This is the time where you can have a 60min break to recharge with Tea, Coffee, Juice, Water and Food as well as visit our exhibitors and sponsors.", "description": "This is the time where you can have a 60min break to recharge with Tea, Coffee, Juice, Water and Food as well as visit our exhibitors and sponsors.", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MFNPZ8/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MFNPZ8/", "attachments": []}, {"guid": "4609bf5a-4191-5a38-8b52-ccbc145afd22", "code": "9S9U8F", "id": 4694, "logo": null, "date": "2025-11-20T15:00:00+13:00", "start": "15:00", "duration": "00:30", "room": "WG201 Exhibition & Catering", "slug": "foss4g-2025-4694-3-afternoon-break", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9S9U8F/", "title": "Afternoon Break", "subtitle": "", "track": "Break", "type": "Afternoon Tea", "language": "en", "abstract": "This is the time where you can have a 30min break to recharge with Tea, Coffee, Juice, Water and Food", "description": "This is the time where you can have a 30min break to recharge with Tea, Coffee, Juice, Water and Food", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9S9U8F/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9S9U8F/", "attachments": []}], "WG403": [{"guid": "28fed200-c7b6-5daf-849e-4bac47406381", "code": "G79YEK", "id": 4375, "logo": null, "date": "2025-11-20T09:05:00+13:00", "start": "09:05", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4375-evaluating-llms-as-intermediaries-for-foss4g-cli-based-geospatial-analysis", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/G79YEK/", "title": "Evaluating LLMs as Intermediaries for FOSS4G CLI-based Geospatial Analysis", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "This presentation investigates whether Large Language Models (LLMs) possess adequate knowledge to function as effective intermediaries between non-expert users and FOSS4G CLI tools. We assess the capability of current LLMs to correctly respond to queries requiring geospatial domain-specific knowledge and generate appropriate solutions for spatial analysis tasks.", "description": "The complexity of CLI-based geospatial analysis tools presents a significant barrier to widespread adoption of FOSS4G technologies. While tools like GDAL, PDAL, and Python geospatial libraries offer powerful capabilities, their command-line interfaces require substantial technical expertise. This limits effective utilization to technical specialists, despite FOSS4G's promise of democratizing geospatial analysis.\r\nRecent advances in Large Language Models (LLMs) suggest potential for bridging this technical gap. LLMs could theoretically interpret natural language requests and generate appropriate CLI commands, making these tools accessible to domain experts who possess valuable geospatial knowledge but lack programming backgrounds.\r\nHowever, effective geospatial analysis requires understanding of domain-specific concepts such as coordinate reference systems, data formats, and regional standards. Our preliminary investigations reveal that current LLMs often fail to correctly handle country-specific geospatial information. \r\nThis presentation evaluates whether existing LLMs possess sufficient geospatial domain knowledge to serve as reliable intermediaries. We examine their performance and evaluate specific knowledge gaps that prevent LLMs from effectively facilitating FOSS4G CLI tool usage for non-technical users.\r\n\r\nAcknowledgment\r\nThis work was supported by JSPS KAKENHI Grant Number JP25K21880, 24K16071. \r\nThis research was performed by the Environment Research and Technology Development Fund (JPMEERF25S12421) of the Environmental Restoration and Conservation Agency provided by Ministry of the Environment of Japan.", "recording_license": "", "do_not_record": false, "persons": [{"code": "TFSA8P", "name": "Nobusuke Iwasaki", "avatar": "https://talks.staging.osgeo.org/media/avatars/%E3%81%84%E3%82%8F%E3%81%95%E3%81%8D%E3%83%A2%E3%83%B3%E3%82%B3%E3%83%AB_dgr1ObO.jpg", "biography": "Dr. Nobusuke Iwasaki has been a board member of the OSGeo Japan chapter since 2007, as Vice Representative since 2014 and Representative since 2018. From 2009 to 2015, He participated in projects of the Japanese Ministry of Education to localize FOSS4G Tools, such as GRASS and QGIS, and to create tutorials. He currently incorporates FOSS4G tools into educational programs at Tottori University, promoting open-source geospatial technologies in academic curricula.", "public_name": "Nobusuke Iwasaki", "guid": "d0934180-5336-5b59-92c2-de15e2ccac57", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/TFSA8P/"}, {"code": "EJVV9Z", "name": "Ayaka Onohara", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_0144_rC0feia.JPG", "biography": "Ayaka Onohara is an assistant professor in data science at Rikkyo University in Japan.\r\nHer research combines geospatial analysis, natural language processing and cultural evolution, with a focus on how places shape emotions and behaviour.\r\nShe actively explores FOSS4G tools and large language models in teaching and research to build reproducible, CLI-based geospatial workflows.", "public_name": "Ayaka Onohara", "guid": "2c297076-e03f-5a31-a46d-ef5da500db2a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/EJVV9Z/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/G79YEK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/G79YEK/", "attachments": [{"title": "FOSS4G 2025 Presentation File", "url": "/media/foss4g-2025/submissions/G79YEK/resources/FOSS4G2025_20251120_KJwMz1G.pdf", "type": "related"}]}, {"guid": "8348c2e2-2ac5-5ec1-8cfe-f43b2db5f7c5", "code": "FDHJDH", "id": 3725, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/FDHJDH/osmia_presentation_image_bW5Ge4C.png", "date": "2025-11-20T09:10:00+13:00", "start": "09:10", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-3725-osmia-a-quick-openlayers-project-for-osm-data-verification", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FDHJDH/", "title": "\"Osmia\" - A quick Openlayers project for OSM data verification", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "\"Osmia\" is an Javascript/Openlayers web app that interrogates OSM metadata to find areas of the road network that need mappers attention. Highways that have not been edited in a long time are highlighted to the user.", "description": "Quality control tools greatly benefit map maintainers. The purpose of this tool is to find map features, in this case roads or paths, that have not been updated in a long time.\r\n\r\n\"Osmia\" is a tool primarily to help mappers perform quality control analysis of OpenStreetMap data, and add missing data where it is required. Osmia's Obsolete Road Geometry function colours road lines and the line vertices increasingly red if they have not been edited recently. This highlights data that needs reviewing; due to improvements in the quality of aerial photography recently, the theory is that old data could be quite inaccurate. As far as I know, despite all the quality assurance tools available for mappers, none focus specifically on the temporality or recency of the data, so this is fairly novel. Additionally, there is a function that finds roads with no surface tags.\r\n\r\nPreviously, the only way to achieve this kind of data visualisation was through manually downloading and styling the vector data in QGIS. This tool fully automates this task in a computationally light, browser-based workflow.\r\n\r\nOsmia hinges on the Nominatim and Overpass APIs to retrieve data easily. Openlayers is used for the slippy map and vector data styling.", "recording_license": "", "do_not_record": false, "persons": [{"code": "GHFDH9", "name": "Peter LeGras", "avatar": "https://talks.staging.osgeo.org/media/avatars/Peter_legras_profile_Kr8yXbe.jpg", "biography": "I am an OpenStreetMap contributor and mapping enthusiast living in Sydney, Australia. I am a photovoltaics engineer who recently completed a postgraduate certificate in Geospatial Intelligence. I am looking forward to making further contributions to the Open Source mapping community. \r\n\r\nMy interests include piano, digital art/graphic design, electronics, climate, renewable energy and chemistry. Please say hello if you see me at FOSS4G Auckland!", "public_name": "Peter LeGras", "guid": "99fce57e-ebc4-5108-bd7b-4a95e2433799", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GHFDH9/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FDHJDH/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FDHJDH/", "attachments": []}, {"guid": "b72cf5d0-7720-55b5-868a-933a14213ab7", "code": "FYMNUV", "id": 4687, "logo": null, "date": "2025-11-20T09:15:00+13:00", "start": "09:15", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4687-a-gis-based-study-on-the-development-of-a-blue-carbon-database-and-digital-mapping-system", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FYMNUV/", "title": "A GIS-Based Study on the Development of a Blue Carbon Database and Digital Mapping System", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "This study presents the accomplishments in establishing a Blue Carbon database and developing a GIS-based digital information map system to support effective management and decision-making along the Korean coast.", "description": "Coastal ecosystems such as tidal flats, salt marshes, and seagrass meadows are referred to as \u201cBlue Carbon\u201d ecosystems. Although they occupy smaller areas than terrestrial forests, they can absorb and store carbon up to 50 times faster. Recognizing this value, this study established a Blue Carbon database and developed a GIS-based digital information map system for the Korean coast. The system serves as a GIS-based decision-support platform for the effective management of marine carbon sinks and for supporting international certification.\r\n\r\nBlue Carbon ecosystems such as salt marshes, seagrasses, tidal flats, and sediments have attracted global attention for their remarkable ability to absorb and store carbon at much faster rates than terrestrial forests, yet examples of their integration into systematic management frameworks have been limited. To address this, between 2022 and 2024, data from 289 survey points along the Korean coastline were collected and integrated. The collected data included carbon cycling processes in salt marshes, biomass distribution of seagrasses and seaweeds, organic carbon content of intertidal and sublittoral sediments, and carbon storage in shellfish habitats. These diverse datasets were unified into a Blue Carbon database, enabling reliable estimation of carbon storage, time-series monitoring, and GIS-based visualization.\r\n\r\nA distinctive methodological feature of this study was the combination of remote sensing and ground verification to enhance data reliability. For example, salt marsh habitats were initially detected through aerial RGB imagery, divided into 5 km grids, and the top 20% of grids with the largest habitat areas were selected for detailed field surveys. This approach reinforced remotely sensed results with species-level ground truthing, providing a robust data foundation applicable to both research and policy. Based on this dataset, the GIS-based digital information map provides decision-support functions beyond simple visualization. Users can query layers related to vegetation, sediments, and new carbon sinks, analyze data by administrative units or standardized grids, and perform spatial analyses within user-defined areas. In addition, a Site Suitability Index (SSI) was designed to evaluate optimal sites for establishing carbon-absorbing coasts in Korea by weighting environmental variables such as wave energy, slope, depth, and tidal range. Through these functions, policymakers, researchers, and stakeholders can effectively identify priority areas for conservation, restoration, and sustainable coastal development.\r\n\r\nThe platform also expands accessibility and international cooperation through multilingual support in Korean and English, and ensures transparency by including reliability metadata that indicates whether each dataset was derived from remote sensing or validated through field surveys. This improves scientific credibility and supports the future international certification of tidal flat Blue Carbon under IPCC frameworks. Ultimately, the Blue Carbon Digital Information Map provides an integrated and user-friendly environment that connects ecological science with geospatial technology. It contributes to achieving Korea\u2019s 2050 carbon-negative strategy, conserving coastal ecosystems, and demonstrating the potential of open-source GIS as a global climate solution. By combining innovation, transparency, and accessibility, this study serves not only as a practical management tool but also as an international cooperation model for the sustainable use of Blue Carbon resources.", "recording_license": "", "do_not_record": true, "persons": [{"code": "TC7BGP", "name": "Yeonjin Kim", "avatar": "https://talks.staging.osgeo.org/media/avatars/%EC%A6%9D%EB%AA%85%EC%82%AC%EC%A7%84_%EA%B9%80%EC%97%B0%EC%A7%84_lVsz7u3.jpg", "biography": "I am currently employed at Sundosoft, Inc.", "public_name": "Yeonjin Kim", "guid": "810cb4b2-8b36-5a45-877c-b4978b37b388", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/TC7BGP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FYMNUV/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FYMNUV/", "attachments": []}, {"guid": "1a6e3e35-b89c-5fb3-bbbe-9120953865cb", "code": "DACAAJ", "id": 4562, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/DACAAJ/Development_of_Core_Technologies_for_a_Metaverse-Based_Tr_Xf4kjXA.png", "date": "2025-11-20T09:20:00+13:00", "start": "09:20", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4562-development-of-core-technologies-for-a-metaverse-based-training-engine-in-a-scientific-training-environment-platform", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DACAAJ/", "title": "Development of Core Technologies for a Metaverse-Based Training Engine in a Scientific Training Environment Platform", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "A metaverse-based training engine is developed to enable high-precision 3D simulations for scientific training environments, enhancing decision-making and spatial analysis through realistic geospatial data and interactive tools.", "description": "Development of Core Technologies for a Metaverse-Based Training Engine in a Scientific Training Environment Platform\r\nJoohyuk Park, Kwangin Han, Hyeongi Min, Sanghak Kim, Geunha Kim, Chaeyoun Lee\r\nSundosoft Co., Ltd.\r\n\r\n1. Introduction\r\nTraditional 2D geospatial systems present significant limitations in the context of real-time training, simulation, and decision-making. With increasing needs for immersive and spatially rich environments in areas such as disaster response, defense training, and urban planning, metaverse-based platforms leveraging high-resolution 3D data have become essential.\r\n\r\nThis paper introduces a core technology platform developed to support metaverse-based scientific training environments. It integrates multi-source 3D spatial data, interactive modeling tools, and web-based visualization interfaces, creating an advanced simulation engine for scenario planning, operational training, and geospatial analysis.\r\n\r\n2. Objectives\r\nThe primary objectives of this project are:\r\n\r\nTo overcome the limitations of flat 2D mapping by enabling realistic and immersive 3D simulations.\r\n\r\nTo support high-resolution modeling of terrains, buildings, roads, and operational assets.\r\n\r\nTo provide web-based access to a 3D simulation environment for use in policy-making, training, and public services.\r\n\r\nTo integrate spatial data into metaverse engines for enhanced collaboration and planning.\r\n\r\nTo promote public\u2013private\u2013academic collaboration through scalable, shareable data and open APIs.\r\n\r\n3. Data Sources and Processing\r\nA variety of spatial data sources were employed to construct the 3D models, including:\r\n\r\nLiDAR point cloud data: Captured via drone or aerial platforms to model surface elevation and object geometry.\r\n\r\nOrthophotos and aerial imagery: Used for texture generation and spatial referencing.\r\n\r\nVector map data: Used for defining roads, building footprints, and infrastructure.\r\n\r\nCustom field survey data: To fill gaps in public datasets and validate terrain accuracy.\r\n\r\nThese datasets were fused using a hybrid data processing pipeline. The result was a seamless digital terrain model (DTM) and digital surface model (DSM), which served as the foundation for object and unit placement within the metaverse environment.\r\n\r\n4. System Components\r\nThe system comprises five primary components:\r\n\r\n4.1 3D Terrain/Object Editing Module\r\nThis module allows users to generate and modify terrain and object layouts. Features include:\r\n\r\nTopographic surface editing (elevation, slope adjustment)\r\n\r\nRoad/pathway creation using spline tools\r\n\r\nObject positioning and orientation\r\n\r\nExternal model import/export using CSV format\r\n\r\n4.2 Unit and Scenario Modeling\r\nA central feature of the platform is its ability to simulate operational units (e.g., armored vehicles, troops) and define scenario-based behaviors:\r\n\r\nEach unit can be assigned movement paths, states, and display attributes.\r\n\r\nPainting schemes or external features of vehicles can be modified interactively.\r\n\r\nTraining sequences can be saved and replayed for review or evaluation.\r\n\r\n4.3 Web-Based 3D Viewer and API\r\nA web-based 3D viewer was developed using CesiumJS and WebGL technologies. It allows remote users to:\r\n\r\nVisualize terrain and unit deployment in real-time\r\n\r\nInteract with editable 3D objects via browser\r\n\r\nAccess scenario data through RESTful APIs for integration with third-party platforms\r\n\r\n4.4 Metaverse Operational Tool (CSCI)\r\nThe \u201cMetaverse Integrated Operational Tool,\u201d codenamed CSCI, acts as the main interface for simulation control:\r\n\r\nDisplays the operational situation in a real-time 3D environment\r\n\r\nProvides an overview of unit lists, terrain zones, and scripted events\r\n\r\nEnables data exchange with external systems through API gateways\r\n\r\nSupports planning, monitoring, and post-exercise analysis\r\n\r\n4.5 UI/UX Design\r\nThe user interface is designed to balance complexity and usability. Major UI features include:\r\n\r\nTop Toolbar: For simulation playback, camera control, and object visibility\r\n\r\nSide Panels: To manage lists of operational units and active objects\r\n\r\n3D Display Area: Central workspace for real-time spatial interaction\r\n\r\nExternal System UI: Supports access to other spatial or simulation databases\r\n\r\n5. Application Scenarios\r\nThe platform is intended for cross-domain deployment. The following use cases demonstrate its versatility:\r\n\r\nMilitary Training: Realistic simulation of urban combat or tactical missions using real-world terrain and movable units.\r\n\r\nDisaster Preparedness: Planning emergency responses for earthquakes, floods, and wildfires with modeled risk zones and evacuation routes.\r\n\r\nUrban Planning: Simulation of infrastructure expansion, zoning changes, or traffic flow optimization.\r\n\r\nEnvironmental Education: Interactive 3D modules for terrain analysis, land cover study, and climate change impact visualization.\r\n\r\nEach scenario benefits from customizable data layers, editable units, and immersive interaction, enhancing training fidelity and decision-making accuracy.\r\n\r\n6. Results and Evaluation\r\nInitial testing demonstrated that the platform can handle large-area terrain datasets (>50 km\u00b2) and render them interactively within web browsers. The real-time responsiveness and modularity of the simulation engine were validated through internal scenario drills.\r\n\r\nUser feedback from early adopters in the disaster response and defense sectors highlighted:\r\n\r\nImproved situational awareness through 3D visualization\r\n\r\nEnhanced engagement and learning during training exercises\r\n\r\nFlexibility in configuring and deploying custom scenarios\r\n\r\nStrong potential for interoperability with digital twin systems\r\n\r\n7. Discussion and Challenges\r\nWhile the platform demonstrates high performance and flexibility, several challenges remain:\r\n\r\nData Standardization: Integrating heterogeneous spatial datasets from multiple agencies requires harmonization and metadata control.\r\n\r\nReal-Time Scalability: Future deployments will require support for concurrent users and larger datasets, demanding optimization of rendering pipelines and network infrastructure.\r\n\r\nAI Integration: The system would benefit from AI-based decision support, such as automated unit behavior or hazard prediction based on real-time data feeds.\r\n\r\nInteroperability: Continued effort is needed to align with standards like CityGML, 3D Tiles, and OGC WFS/WMS.\r\n\r\n8. Conclusion and Future Work\r\nThis study introduced a scalable, browser-accessible platform that combines high-precision geospatial data with metaverse-based simulation tools. It enables immersive, flexible training and planning across diverse domains.\r\n\r\nFuture plans include:\r\n\r\nExpansion of supported data formats and 3D model libraries\r\n\r\nIntegration with live sensor feeds and AI-powered analytics\r\n\r\nDeployment in public safety agencies and educational institutions\r\n\r\nFull support for VR/AR hardware to enhance immersion\r\n\r\nBy providing an open, extensible framework, this platform contributes to the growing ecosystem of geospatial metaverse applications, supporting smarter, more informed decision-making in both public and private sectors.", "recording_license": "", "do_not_record": true, "persons": [{"code": "GUBAHU", "name": "Hyeongi MIN", "avatar": null, "biography": null, "public_name": "Hyeongi MIN", "guid": "a6efb0a8-c75f-5409-bc7e-aaac3963c2c5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GUBAHU/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DACAAJ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DACAAJ/", "attachments": [{"title": "ppt", "url": "/media/foss4g-2025/submissions/DACAAJ/resources/FOSS4G_v0.3_hka0Lpa.pptx", "type": "related"}]}, {"guid": "80b0966c-1573-5eb6-a18d-bcb892a1272e", "code": "JECL7Z", "id": 3811, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/JECL7Z/OSGeo_Nepal_1mNCW2o.png", "date": "2025-11-20T09:25:00+13:00", "start": "09:25", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-3811-a-year-as-a-baby-osgeo-local-chapter-osgeo-nepal", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JECL7Z/", "title": "A Year as a Baby OSGeo Local Chapter: OSGeo Nepal", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "This talk showcases OSGeo Nepal\u2019s journey as a new OSGeo local chapter, highlighting its grassroots growth, student-led initiatives, and collaborative projects. It demonstrates how a young, volunteer-driven community can make a meaningful impact through inclusive working groups, regular events, and partnerships with academic and professional organizations.", "description": "OSGeo Nepal officially became a local chapter of the Open Source Geospatial Foundation (OSGeo) in 2024. This lightning talk will highlight how even a young chapter can make a meaningful impact within a year through grassroots organizing, student engagement, and open collaboration.\r\n\r\nOSGeo Nepal is structured into four active Discord-based working groups: Engineering, Data Access, Training & Knowledge Sharing, and Design & Communication. These groups are open spaces where members get to support a wide range of activities like helping each other solve problems, share useful resources, collaborate on tools and datasets, organise events, opportunity sharing, create training materials, and contribute to ongoing projects. It\u2019s a place where beginners can learn from seniors, and seniors can mentor the new contributors in the open-source geospatial space. Regular meetups are held on the first Friday of every month, offering a welcoming space for connection, discussion, learning, and community updates. The chapter has also led community-driven events such as Coding Parties, GIS Day celebrations and Knowledge Sharing Sessions.\r\n\r\nThroughout the year, OSGeo Nepal has supported and collaborated with student organizations such as GESAN, GES, and KUCC in events like the OSM Hackfest WRC-2024, Geospatial Meet, NEPGEOM-2024, WebGIS Training, IT Meet-2024, Geo-Talk and Map Design Competition. Chapter members have contributed as mentors, trainers, speakers, judges, and volunteers in such events. This lightning talk will also highlight the expansion of collaboration to professional bodies like NGES through programs like GeoSeries- an online platform that brings together experts and learners to explore applications of geospatial technologies. With student representatives from four institutes and a strong volunteer culture, OSGeo Nepal serves as a bridge between the national and global open geospatial communities. Anyone with a question or idea can drop it in the Discord and someone will always be ready to support.\r\n\r\nAlong the way, the chapter has encountered challenges common to emerging communities. Despite these challenges, the commitment of members has remained really strong. Looking ahead, OSGeo Nepal aims to reach more people from underrepresented communities, develop educational content in both English and local languages to improve accessibility, and strengthen collaboration with global OSGeo projects and contributors.\r\n\r\nThis talk aims to inspire new chapters, demonstrate the power of grassroots organizing, and focuses on  how even a \u201cbaby chapter\u201d can make a meaningful impact within a year.", "recording_license": "", "do_not_record": false, "persons": [{"code": "EBXQYA", "name": "Aayush Chand", "avatar": "https://talks.staging.osgeo.org/media/avatars/Aayush_XHBa69r.jpg", "biography": "I am a Geomatics Engineering graduate currently working as a Geospatial Analyst at Kathmandu Living Labs (KLL). I'm also a contributor to the OpenStreetMap community and a core volunteer in the OSGeo Nepal Chapter, where I support community-building efforts, communication design, and volunteering. With a strong passion for open-source geospatial technologies, I have participated in and contributed to various mapping, GIS, and remote sensing projects, including organizing and mentoring in events like OSM Hackfest, WebGIS Trainings, and map design competitions. I am also a graphic designer and motion design enthusiast, using my creative skills to make geospatial education and outreach more accessible. I am committed to promoting open data, open science, and community collaboration in the geospatial field.", "public_name": "Aayush Chand", "guid": "c95b1dee-8ba5-51eb-9100-3f374b4b4a9a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/EBXQYA/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JECL7Z/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JECL7Z/", "attachments": []}, {"guid": "d248a162-c9cf-5a5b-aaf5-3d0149a8e640", "code": "CRKRSF", "id": 4242, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/CRKRSF/Screenshot_2025-03-31_at_2.08.44pm_mQcJkXo.png", "date": "2025-11-20T09:30:00+13:00", "start": "09:30", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4242-the-open-data-cube-is-dead-long-live-the-open-data-cube", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CRKRSF/", "title": "The Open Data Cube is Dead, Long Live the Open Data Cube", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "The Open Data Cube is a big, complicated tool that does a lot of things, and it's a little old. It's been replaced with a small complicated tool, which does less things more simply, which is great. This is a talk about that.", "description": "For years, the Open Data Cube has been the go-to framework for managing massive collections of satellite imagery. But with changing cloud-native practices, new open standards, and better APIs, there\u2019s a simpler way forward.\r\n\r\nIn this talk, Alex Leith, Executive Director at Auspatious, explains how the heavy Postgres-driven ODC tool is being replaced by flexible, open STAC APIs and elegant Python tools like pystac-client and odc-stac.\r\n\r\nThe result? A leaner, easier way to discover and analyze EO data, with just a few lines of code. Long live the Open Data Cube.", "recording_license": "", "do_not_record": false, "persons": [{"code": "7DNCHN", "name": "Alex Leith", "avatar": "https://talks.staging.osgeo.org/media/avatars/8e50dd2bf140ac1062331efd4a8a5dbe_XmJwlUU.jpg", "biography": "Alex is an open geospatial technologist specializing in software development, cloud infrastructure and program governance with an emphasis on Earth observation data. As Executive Director at Auspatious, Alex focuses on making data more accessible and works to support informed decision-making and promote sustainable development.\r\n\r\nAlex volunteers as a Non-Executive Board Director at the Geospatial Council of Australia, OSGeo Oceania and Earth Observation Australia and performs the role of Treasurer at Earth Observation Australia. In his free time, he enjoys exploring the wilderness with his children and sampling a great craft beer.", "public_name": "Alex Leith", "guid": "777c0ce9-50c5-5250-b0a6-1b2c11d26790", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7DNCHN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CRKRSF/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CRKRSF/", "attachments": []}, {"guid": "c6b30459-b8d6-5961-84c5-169c050275d6", "code": "CPHNTZ", "id": 4422, "logo": null, "date": "2025-11-20T09:35:00+13:00", "start": "09:35", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4422-fast-free-and-mostly-painless-getting-started-with-open-source-web-mapping", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CPHNTZ/", "title": "Fast, Free, and (Mostly) Painless: Getting Started with Open-Source Web Mapping", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Learn how to start using Leaflet, OpenLayers and MapLibre open-source mapping libraries to transform how you build and deliver interactive web maps. We will explore the differences between these libraries, compare their capabilities and go through simple examples to get YOU started lightning fast before you can pronounce FOSS4G.", "description": "Open-source web mapping libraries have opened up a world of possibilities for building fast, flexible, and modern geospatial applications without being tied to proprietary platforms. In this talk, we\u2019ll dive into three of the most widely used open-source mapping libraries\u2014Leaflet, OpenLayers, and MapLibre\u2014comparing their performance, developer experience, documentation, and suitability for different types of applications. Drawing from real-world projects, I\u2019ll share why MapLibre was chosen for a recent road safety tool, how OpenLayers offers a great developer experience, and where Leaflet\u2019s simplicity starts to struggle in modern development workflows.\r\n\r\nWe\u2019ll cover practical examples to help you get started quickly, as well as also touch on how these libraries can be integrated with a range of spatial data services. If you\u2019re building interactive maps, experimenting with spatial data, or just looking to visualize some locations on a map, this session will help you choose the right tool for the job and hit the ground running.\r\n\r\nCode samples will be provided via GitHub.", "recording_license": "", "do_not_record": false, "persons": [{"code": "XTWFME", "name": "Luke Sussex", "avatar": null, "biography": "Luke is a software developer and GIS professional at Abley who uses his skills in geospatial analysis, cartography and software development to deliver innovative solutions and eye-catching maps & apps to clients.", "public_name": "Luke Sussex", "guid": "383e1e7b-e01d-53a6-a97c-deb13236839e", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/XTWFME/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CPHNTZ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CPHNTZ/", "attachments": []}, {"guid": "efeb191d-a6d2-5d58-b699-8e5a6e920b08", "code": "C3PYUV", "id": 4286, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/C3PYUV/Kapture_WjmLscd.gif", "date": "2025-11-20T09:40:00+13:00", "start": "09:40", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4286-interactive-simulation-for-visualizing-bus-locations-using-gtfs-data", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/C3PYUV/", "title": "Interactive Simulation for Visualizing Bus Locations Using GTFS Data", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "This presentation will introduce a system that leverages GTFS data to visualize bus locations on a map for any chosen time and date.", "description": "This proposal utilizes the FOSS4G toolset to encourage bus ridership and enhance the sustainability of urban transportation systems. It specifically showcases an interactive simulation that employs General Transit Feed Specification (GTFS) data to dynamically represent bus positions on a map, corresponding to specific dates and times. This system is ingeniously crafted with FOSS4G tools to enable straightforward tracking of buses' current and planned routes.", "recording_license": "", "do_not_record": false, "persons": [{"code": "NXEVH8", "name": "Kei Yamazaki", "avatar": null, "biography": null, "public_name": "Kei Yamazaki", "guid": "e1de66eb-8f9a-5bd3-a3e2-4e8f933f9973", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NXEVH8/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/C3PYUV/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/C3PYUV/", "attachments": []}, {"guid": "36b4b06f-c38f-58d6-aad9-6ad562f6c394", "code": "BYCVNH", "id": 4371, "logo": null, "date": "2025-11-20T09:45:00+13:00", "start": "09:45", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4371-finding-the-farthest-point-implementing-longest-path-analysis-in-qgis-with-networkx-and-python", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BYCVNH/", "title": "Finding the Farthest Point: Implementing Longest Path Analysis in QGIS with NetworkX and Python", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "I developed a Python-based solution that extends QGIS routing capabilities by calculating longest paths in road networks using NetworkX and modified Dijkstra's algorithm. This approach transforms traditional shortest-path analysis into maximum distance exploration, could be applied in tourism route design and hydrological analysis.", "description": "This presentation demonstrates advanced network analysis methods using Python and NetworkX within QGIS to calculate the farthest reachable point from any starting location. Users can transform road network data into graph networks and visualize complex routing paths across geographic regions. This approach makes advanced network analysis accessible to GIS practitioners without requiring specialized graph theory knowledge.", "recording_license": "", "do_not_record": false, "persons": [{"code": "QTWS3L", "name": "Xinmiao Qu", "avatar": "https://talks.staging.osgeo.org/media/avatars/e28aee5d790b3fcc1d4e7249bfede469_jbJLoUa.jpg", "biography": "A GIS Engineer at MIERUNE Inc. with interests in transportation, railways, and urban geography.", "public_name": "Xinmiao Qu", "guid": "6fcceaff-dc8b-550c-b7ca-f7e2c6425b7e", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/QTWS3L/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BYCVNH/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BYCVNH/", "attachments": []}, {"guid": "84f94c7c-2f36-5912-9357-2ac4db1ad9bd", "code": "B8GNQU", "id": 4300, "logo": null, "date": "2025-11-20T09:50:00+13:00", "start": "09:50", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4300-hitchhiker-s-guide-to-linz-open-data", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/B8GNQU/", "title": "Hitchhiker's Guide to LINZ Open Data", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "A whirlwind tour of LINZ's latest open datasets and useful platform features.", "description": "A whirlwind tour across LINZ's data landscape. From Topo maps and Navigation Charts, to Property and Elevation.", "recording_license": "", "do_not_record": false, "persons": [{"code": "9GHPRQ", "name": "Tobias Schmidt", "avatar": "https://talks.staging.osgeo.org/media/avatars/62846b8a-e568-43a7-b0d4-857ccccd6ef1_YRx0RvT.png", "biography": "Software Developer at Land Information New Zealand by day, user of topo maps for Search and Rescue by night.", "public_name": "Tobias Schmidt", "guid": "70e60cc2-63ae-5894-9204-d42d665d4978", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/9GHPRQ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/B8GNQU/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/B8GNQU/", "attachments": []}, {"guid": "1a3c92ed-179a-5d68-b27b-b39bb4271e79", "code": "AHCRNT", "id": 4318, "logo": null, "date": "2025-11-20T09:55:00+13:00", "start": "09:55", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4318-outside-track-a-rapid-round-up-of-unrepresented-open-source-geospatial-projects", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AHCRNT/", "title": "Outside Track: A Rapid Round-up of Unrepresented Open Source Geospatial Projects", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "This talk highlights the diversity of our global community and showcases tools and contributors not otherwise featured at FOSS4G 2025.", "description": "FOSS4G is a space where collaboration and innovation converge. But with so many incredible projects, many of them volunteer run, not every maintainer can make it to our global event. In this talk, I\u2019ll take you on a fast-paced, tour of some of the most interesting, impactful, and lesser-known open source geospatial projects that haven\u2019t otherwise found representation at FOSS4G 2025.", "recording_license": "", "do_not_record": false, "persons": [{"code": "CDGCMP", "name": "Hamish Campbell", "avatar": "https://talks.staging.osgeo.org/media/avatars/T03AMBT1XC2-U08KGBT3J9F-9c6493782ecf-512_aaFjsom.jpeg", "biography": "Hamish is a software engineering manager who\u2019s been working in and around geospatial tech for over 15 years. He\u2019s been a committed contributor to open source software and chaired the FOSS4G Oceania committee that brought the regional conference to New Zealand in 2023. He recently started a new role as Head of Engineering for Urban Intelligence - building software for resilient communities in the face of a changing environment.", "public_name": "Hamish Campbell", "guid": "912da27e-a8e4-516c-a62a-96571065e8b9", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/CDGCMP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AHCRNT/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AHCRNT/", "attachments": []}, {"guid": "8e6442b0-479b-58e8-9fd4-7b1e8e7c9c92", "code": "UJRQVC", "id": 4710, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/UJRQVC/ccrp_LSCg6BQ.svg", "date": "2025-11-20T10:00:00+13:00", "start": "10:00", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4710-let-s-solve-the-problem-of-object-storage", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UJRQVC/", "title": "Let\u2019s solve the problem of object storage", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Object storage gave us scale, durability, and low cost\u2013the foundation of cloud-native geospatial. But what if it\u2019s also our biggest problem? This talk explores why the object model fails multidimensional datasets, and how the Coalesced Chunk Retrieval Protocol could restore seamless user experience at cloud scale.", "description": "Object storage transformed data at planetary scale, giving us cheap, durable, elastic storage. But in geospatial, it also turned chunking into everyone\u2019s problem. Misaligned queries waste time, compute, and money, while producers struggle to optimize datasets for all users.\r\n\r\nThis talk reframes our problems with chunking as a limitation of the object model itself. We\u2019ll look at why object storage makes chunking visible, what that means for usability and efficiency, and how the [Coalesced Chunk Retrieval Protocol (CCRP)](https://ccrp.dev) could restore transparent, efficient access \u2014 this time at cloud scale.", "recording_license": "", "do_not_record": false, "persons": [{"code": "8TAMEN", "name": "Jarrett Keifer", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_7316_crop_a35B92h.jpeg", "biography": "Jarrett Keifer is a Senior Geospatial Software Engineer at Element 84, a commercial geospatial consultancy that uses open-source to build effective customer solutions. His interests include education and outreach, geospatial data formats, and high-performance systems/network programming. He enjoys designing systems to operate at scale, particularly to support remote sensing data processing and earth science applications, and has over ten years of experience contributing to open source projects.", "public_name": "Jarrett Keifer", "guid": "a96982f6-47e9-53fd-9d40-f07ed7f44fa6", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8TAMEN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UJRQVC/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UJRQVC/", "attachments": []}, {"guid": "8ed447ae-887d-5411-b1ec-bce514438f28", "code": "WSLKQD", "id": 4189, "logo": null, "date": "2025-11-20T10:05:00+13:00", "start": "10:05", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4189-building-open-geospatial-communities-in-nepal-the-role-of-osgeo-nepal-in-open-data-and-youth-empowerment", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WSLKQD/", "title": "Building Open Geospatial Communities in Nepal: The Role of OSGeo Nepal in Open Data and Youth Empowerment", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "OSGeo Nepal has been building an inclusive and active open geospatial community, with a strong focus on youth empowerment through open data. By forming a network of over 150 members, OSGeo Nepal is equipping the next generation with tools to access, analyze, and contribute to open datasets.", "description": "Open geospatial data is reshaping how communities understand and manage their environments, and in Nepal, OSGeo Nepal is leading this change by empowering youth to engage meaningfully with open geospatial tools and data. Since its formal recognition in 2023, OSGeo Nepal has grown into a vibrant, youth-led network of over 150 active members committed to fostering a culture of openness, collaboration, and data accessibility. The community hosts monthly meetups, which serve as collaborative spaces where participants share opportunities, discuss open data practices, and build their capacity to contribute to platforms such as OpenStreetMap, HDX, and QGIS. Senior members actively mentor newcomers, guiding them on how to start their open-source journey and emphasizing the value of contributing to the global open geospatial community. Outreach has been a cornerstone of this movement. OSGeo Nepal has presented at several leading universities, including Tribhuvan University and Kathmandu University, to raise awareness about OSGeo Nepal, open-source geospatial tools, and the importance of accessible data. One of the major programs conducted in collaboration with these university groups is training on QGIS, OSM Hackfest 2024, geo-talk series, and hackathons. Student representatives have been appointed across campuses to sustain engagement and act as catalysts for local geospatial initiatives. Several skill-building sessions and trainings have been conducted on impactful topics like GeoAI, OpenEO, and the application of LLMs in GIS. These events not only provide technical skills but also inspire participants to view open data as a tool for solving real-world challenges. Collaborations with national student groups like NGES and GESAN have helped amplify these efforts. A major milestone has been the launch of OSGeo Nepal\u2019s organizational presence on the Humanitarian Data Exchange (HDX), where volunteers are curating and publishing standardized datasets\u2014such as road networks and administrative boundaries\u2014for public use. This involvement offers young contributors direct experience in the data lifecycle, from acquisition and cleaning to metadata creation and public release. As impactful as the journey has been, OSGeo Nepal is only getting started. In the coming months, the community aims to expand its reach, conducting training programs on open-source software and data stewardship. One of our goals is to build a centralized, accessible data platform where anyone from students to policymakers can discover high-quality geospatial datasets for analysis and application. Further, OSGeo Nepal plans to deepen its collaborations with both national and international organizations, strengthening Nepal\u2019s role in the global open geospatial movement. Through these next steps, OSGeo Nepal envisions a more informed, engaged, and empowered youth community\u2014one that doesn\u2019t just use open data but becomes a driving force in creating, managing, and sharing it for the public good.", "recording_license": "", "do_not_record": false, "persons": [{"code": "EBXQYA", "name": "Aayush Chand", "avatar": "https://talks.staging.osgeo.org/media/avatars/Aayush_XHBa69r.jpg", "biography": "I am a Geomatics Engineering graduate currently working as a Geospatial Analyst at Kathmandu Living Labs (KLL). I'm also a contributor to the OpenStreetMap community and a core volunteer in the OSGeo Nepal Chapter, where I support community-building efforts, communication design, and volunteering. With a strong passion for open-source geospatial technologies, I have participated in and contributed to various mapping, GIS, and remote sensing projects, including organizing and mentoring in events like OSM Hackfest, WebGIS Trainings, and map design competitions. I am also a graphic designer and motion design enthusiast, using my creative skills to make geospatial education and outreach more accessible. I am committed to promoting open data, open science, and community collaboration in the geospatial field.", "public_name": "Aayush Chand", "guid": "c95b1dee-8ba5-51eb-9100-3f374b4b4a9a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/EBXQYA/"}, {"code": "YSYPHM", "name": "Dibikshya Shrestha", "avatar": "https://talks.staging.osgeo.org/media/avatars/WhatsApp_Image_2025-05-22_at_20.40.21_62ece64c_BkzsLzK.jpg", "biography": "I am Dibikshya Shrestha, a recent graduate in Geomatics Engineering from Tribhuvan University. My interest in open data and open-source software began in 2021 during my first year at university. Since then, I have been an active contributor to OpenStreetMap (OSM), having made over 653,756 edits to date. My passion for open data stems from its transformative potential. When accessible and reliable data is made openly available, it becomes a powerful tool for informed decision-making, inclusive development, and amplifying marginalised voices. This interest took a personal turn when I learnt about the critical role open data played in the response to the 2015 Gorkha Earthquake in Nepal\u2014my hometown. This emotional connection motivated me to contribute more actively to humanitarian mapping efforts, believing that every edit truly matters. In addition to my contributions to OSM, I am a core member of OSGeo Nepal. Since its inception, I have been actively involved in community development, social media engagement, and volunteer coordination. Our shared vision is to expand this movement nationally and promote the welfare of the geospatial community in Nepal. I also served as secretary of the YouthMappers chapter GESAN, where I led several impactful initiatives, including a \"map design competition using OSM datasets\" (in collaboration with the Open Mapping Hub\u2014Asia Pacific and NGES), a workshop on \"how to use open geospatial datasets\" (in collaboration with OSGeo Nepal), QGIS Training, and OSM Hackfest 2024 (in collaboration with TomTom Global). I am also a member of the OSM Foundation. I was honoured to be selected as a YouthMappers Leadership Fellow in 2024, and currently I am serving as the Volunteer YouthMappers Ambassador for Nepal. With this commitment, I strive to promote open data by creating, managing, and making it accessible to all, with the goal of utilising it for greater public welfare.", "public_name": "Dibikshya Shrestha", "guid": "ab4bed77-0c27-541d-956b-a4ed9ee3feb0", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/YSYPHM/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WSLKQD/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WSLKQD/", "attachments": []}, {"guid": "35c7a700-f9a0-5548-896c-ad7a321d5c76", "code": "R3DEV3", "id": 3819, "logo": null, "date": "2025-11-20T10:10:00+13:00", "start": "10:10", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-3819-mapping-ink-using-open-source-gis-data-to-tattoo-a-river", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/R3DEV3/", "title": "Mapping Ink: Using Open Source GIS Data to Tattoo a River", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "A friend sent me a message asking if I could extract the Te Arai River outline in Tai Rawhiti for a tattoo idea he had.", "description": "Using LINZ Open Data and a few QGIS geoprocessing tools, I was able to extract various river lines for a friend to then pass on to his tattoo artist to add his flare. It was a fun way to use GIS for something personal\u2014turning open data into a design that tells a story.", "recording_license": "", "do_not_record": false, "persons": [{"code": "JW83WP", "name": "Phil Greville", "avatar": "https://talks.staging.osgeo.org/media/avatars/Portrait_XPlFhmk.jpg", "biography": "I\u2019m a Geologist turned GIS Developer at Kenex, a company based in Eastbourne, Wellington. My work focuses on combining spatial analysis with mineral exploration to help uncover new opportunities using data-driven approaches. I enjoy finding creative ways to use GIS\u2014whether it's building web tools, processing complex datasets, or even using GIS to design a tattoo for a friend.", "public_name": "Phil Greville", "guid": "f93dcb7f-a23e-5f1c-b5e3-bafe9fb38f32", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/JW83WP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/R3DEV3/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/R3DEV3/", "attachments": []}, {"guid": "e8df4bd7-29c9-5ea9-b6c6-43273750bfaa", "code": "CYL8GX", "id": 4343, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/CYL8GX/ShadowAnalysis_mkHCt5w.png", "date": "2025-11-20T10:15:00+13:00", "start": "10:15", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4343-tree-shadow-modelling-in-qgis-grass", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CYL8GX/", "title": "Tree shadow modelling in QGIS + GRASS", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Using QGIS, GRASS and Python along with LINZ Dataservice to calculate shadow impact of trees 50 years in the future.", "description": "Using QGIS, GRASS and Python along with LINZ Dataservice to calculate shadow impact of trees 50 years in the future, Tim from New Zealand Carbon Farming briefly outlines their approach to maintain compliance with NZ National Environmental Standards for commercial forestry: What we tried; what worked and what didn't.", "recording_license": "", "do_not_record": false, "persons": [{"code": "CZH7TJ", "name": "Tim Barnes", "avatar": "https://talks.staging.osgeo.org/media/avatars/20220510_104631_RqxusW1.jpg", "biography": "Tim has over 20 years geospatial experience in public and private enterprise, with the last few years leaning heavily into FOSS4G solutions.", "public_name": "Tim Barnes", "guid": "fc3d019b-eb6a-543b-b9d6-cb54daab6d7b", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/CZH7TJ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CYL8GX/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CYL8GX/", "attachments": []}, {"guid": "f81a7f7f-5404-5e95-a0cb-d8c334721279", "code": "SKWBT8", "id": 4427, "logo": null, "date": "2025-11-20T10:20:00+13:00", "start": "10:20", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4427-digital-earth-machine-learning-operations", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SKWBT8/", "title": "Digital Earth Machine Learning Operations", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Digital Earth is implementing a Machine Learning Operations proof of concept for an automated system designed to support development, training, and release of complex ML models for satellite imagery such as artificial surface detection. Talk will share architecture and learnings, focusing on integration of open-source components with cloud services.", "description": "Digital Earth (DE) is implementing a Machine Learning Operations proof-of-concept for an automated system designed to support the end-to-end development, training, and release of complex machine learning workflows and models for satellite imagery, such as artificial surface detection used in Land Cover. The PoC focuses on the discoverability of open-source machine learning models, streamlining data versioning, feature transformation, containerised model training, hyperparameter tuning, governance, model, and artefact management. The lightening talk will share our architecture and learnings, with a focus on the integration of various open-source components and specifications with cloud-services.", "recording_license": "", "do_not_record": false, "persons": [{"code": "D7TTUL", "name": "James Miller", "avatar": null, "biography": "James is a Technical Lead in Research and Product Development and is passionate about improving the ability to detect change and create insights in Australia\u2019s landscape using earth observation data. He enjoys taking scientific research and applying operational large scale data engineering techniques to solve national problems. His work includes designing and developing geospatial scientific products, data quality improvements, big data engineering pipelines, cloud infrastructure and customer facing platforms and applications.", "public_name": "James Miller", "guid": "abcc0b1d-afa1-5e51-bdb3-785cfb0b0b2a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/D7TTUL/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SKWBT8/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SKWBT8/", "attachments": []}, {"guid": "9a60025d-4107-580c-82b7-a08f917c0183", "code": "8VHAU8", "id": 4461, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/8VHAU8/osgeo-logo-rgb_1BmbJaZ.png", "date": "2025-11-20T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4461-introduction-to-osgeo-and-ideas-for-the-future", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8VHAU8/", "title": "Introduction to OSGeo and ideas for the future", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "The Open Source Geospatial Foundation is a not-for-profit organization whose mission is to foster global adoption of open geospatial technology. This talk introduces the foundation and talks about challenges and ideas for its future.", "description": "The Open Source Geospatial Foundation is a not-for-profit organization whose mission is to foster global adoption of open geospatial technology. \r\n\r\nIt is the formal host of the FOSS4G global conferences like the Auckland 2025 conference. \r\n\r\nIt also acts as an umbrella organization for a large stack of geospatial software applications and libraries.\r\n\r\nThis talk will introduce what OSGeo is and does. What are the challenges faced and how can we future proof the foundation?", "recording_license": "", "do_not_record": false, "persons": [{"code": "BZBDEX", "name": "Jeroen Ticheler", "avatar": "https://talks.staging.osgeo.org/media/avatars/da1c26c299d7412be435dbe2e0a20616_E6dTxPM.jpg", "biography": "As director and owner of GeoCat, founder of GeoNetwork and board member of OSGeo, I\u2019m obsessed with helping organizing data using free and open source software in a sustainable way. \r\nI started my career at the United Nations supporting Early Warning Systems with satellite imagery and quickly moved to also support the management of geospatial data. Now, 25 years onwards, the software we develop runs at over 85% of national geoportal end points in Europe and is in use at all levels in governments around the world.", "public_name": "Jeroen Ticheler", "guid": "0a92428e-c543-5ff1-a4bc-14ebad12f694", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BZBDEX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8VHAU8/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8VHAU8/", "attachments": []}, {"guid": "c3959973-5f5a-5c0a-a1b1-719fc05b81bf", "code": "RM9RHS", "id": 4294, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/RM9RHS/Screenshot_2025-08-19_at_17.02.13_UBnup3h.png", "date": "2025-11-20T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4294-navara-map-engine-the-next-generation-flexible-map-engine-for-advanced-gis-visualization", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RM9RHS/", "title": "Navara map engine: The Next-Generation Flexible Map Engine for Advanced GIS Visualization.", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "Powered by a newly architected headless map engine written in Rust and WebAssembly, Navara combines photorealistic rendering, unconstrained custom-shader freedom, and a high-performance API in a single platform. This session introduces the technology behind Navara and showcases the real-world use cases these capabilities unlock.", "description": "Traditional map engines often struggle to (1) expand their visualization capabilities and (2) prevent interactive logic from becoming overly complicated and slow. **Navara**, under development since FY 2024, breaks this mold by *fully decoupling the GIS engine from the rendering engine*. Complex GIS operations\u2014coordinate transformations, LOD management, ellipsoid computations\u2014run in a Rust/WASM headless core, while any renderer (e.g., Three.js) handles drawing.\r\n\r\nDuring the current fiscal year we implemented:\r\n\r\n- **Visual API** \u2013 realistic atmosphere, clouds, night-time lighting, and other photoreal effects.\r\n- **GIS API** \u2013 coordinate conversion, ellipsoid geometry, and other GIS-specific computations.\r\n\r\nIn this talk we will dive into these APIs, share architectural insights, and demonstrate the kinds of applications Navara is built to power.\r\n\r\n### Intended Audience\r\n\r\n- 3D-engine and real-time graphics developers\r\n- Researchers, municipalities, and enterprises working with GIS data\r\n- Creators who want to combine photoreal rendering with rich data visualization\r\n\r\n### Takeaways\r\n\r\n- Design patterns for **headless GIS + rendering-engine** architectures\r\n- Examples of photorealistic visual effects achievable with Navara\r\n- How the **GIS API** enables advanced, high-speed interactions", "recording_license": "", "do_not_record": false, "persons": [{"code": "PZ8CMJ", "name": "Keiya Higuchi", "avatar": "https://talks.staging.osgeo.org/media/avatars/thum_6bmdLe8.jpg", "biography": "3D Computer Graphics Developer", "public_name": "Keiya Higuchi", "guid": "639519c1-7ca6-56ac-8a66-6cbce931b146", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PZ8CMJ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RM9RHS/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RM9RHS/", "attachments": []}, {"guid": "a0578ae6-b2c1-5652-8517-094712f0741a", "code": "Z3JQDZ", "id": 4344, "logo": null, "date": "2025-11-20T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4344-cut-the-clutter-clean-and-clear-cartography", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Z3JQDZ/", "title": "Cut the clutter - clean and clear cartography", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "People love to throw everything including the kitchen sink onto their maps mistakenly thinking more information is better. This leads to a mental burden, making the map harder to read and putting some readers off entirely. This talk will cover designing maps which are clear, uncluttered and support the viewer.", "description": "People love to throw everything including the kitchen sink onto their maps mistakenly thinking more information is better. This leads to a mental burden, making the map harder to read and putting some readers off entirely. \r\n\r\nThe talk was given at FOSS4G Oceania in 2023 and was inspired by the work of Edward Tufte and how my approach to cartography has changed over the years.\r\n\r\nIn this talk, I will cover designing maps which are clear, uncluttered and support the viewer. I discuss how links to other concepts, such as visual hierarchy and layout, the history of thinking about clutter with Tufte and Cairo, cover the idea of the elegant and the invisible, as well as how to keep your viewer foremost in your mind. This talk will be more focused on cartography theory rather than practice with open source tools, however it willl give examples using QGIS.", "recording_license": "", "do_not_record": false, "persons": [{"code": "P3KEDC", "name": "Peter King", "avatar": null, "biography": "I am a skilled cartographer, spatial developer and QGIS superuser with a passion for open source and open data. I lead the Analysis and Visualisation Squad at Toit\u016b Te Whenua - Land Information New Zealand, and love the cartography and FOSS4G community here in Aotearoa. I may also be slightly obsessed with the Montserrat font, a turquoise and orange colour palette, and board games.", "public_name": "Peter King", "guid": "b11caf1a-127c-5403-9481-b7f130e296b4", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/P3KEDC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Z3JQDZ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Z3JQDZ/", "attachments": []}, {"guid": "97544198-0551-52f6-b091-fd87feedbcff", "code": "CJF3BD", "id": 4288, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/CJF3BD/Flow_Horizontal_Con%EF%AC%81guration_GX6rg0Z.svg", "date": "2025-11-20T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4288-re-earth-flow-alpha-your-spatial-etl-workspace-in-the-browser-together", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CJF3BD/", "title": "Re:Earth Flow (Alpha): Your Spatial ETL Workspace \u2014 In the Browser, Together", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Re:Earth Flow is a new visual ETL tool for geospatial data\u2014fully browser-based and built for collaboration. See the alpha in action, learn how it works, and find out how to get involved early.", "description": "Discover **Re:Earth Flow**, a new open-source platform for building geospatial data workflows \u2014 visually, collaboratively, and entirely in your browser. Whether you\u2019re cleaning municipal datasets or transforming large geospatial files, Re:Earth Flow lets you connect and configure transformation steps like building blocks, no code required. In this talk, we\u2019ll introduce the tool (currently in alpha), explain its technical foundation, and show how it brings a familiar ETL model to the web \u2014 powered by a Rust engine, Go APIs, and real-time collaboration via WebSockets and Yjs.\r\n\r\n### **What to Expect:**\r\n\r\n- **Why We Built It**: Friction points with desktop tools and the case for a browser-native alternative\r\n- **How It Works**: A look at the architecture behind our visual ETL engine and collaboration system\r\n- **Live Demo**: A walkthrough of the alpha release \u2014 what\u2019s working, what\u2019s missing, and what\u2019s next\r\n- **What\u2019s Ahead**: Our roadmap toward beta and full public release, and how you can help shape it\r\n\r\n### **Who Should Attend:**\r\n\r\nGIS analysts, developers, and open-source enthusiasts curious about accessible, collaborative alternatives to traditional spatial ETL tools \u2014 and anyone interested in testing and contributing to an early-stage platform.", "recording_license": "", "do_not_record": false, "persons": [{"code": "PD7ETL", "name": "Kyle Waite", "avatar": null, "biography": null, "public_name": "Kyle Waite", "guid": "c903800d-c74a-5d67-81e9-f92f779f215f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PD7ETL/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CJF3BD/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CJF3BD/", "attachments": []}, {"guid": "4f220277-0286-53c0-b238-fbce931b9176", "code": "K7GULV", "id": 4309, "logo": null, "date": "2025-11-20T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4309-enhancing-mapproxy-with-new-2d-and-3d-layers-support-via-plugins", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/K7GULV/", "title": "Enhancing MapProxy with New 2D and 3D Layers Support via Plugins", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "MapProxy is a lightweight geospatial proxy server supporting WMTS, WMS, and TMS. We utilize its plugin system to enable COG, vector tiles, and 3D Tiles support, facilitating integration of modern 2D/3D geospatial formats into open-source enterprise GIS workflows with enhanced interoperability, scalability, and cost-efficiencies in enterprise environments.", "description": "As the demand for modern geospatial data formats grows, integrating 2D and 3D content into open-source GIS infrastructures becomes increasingly critical. This talk presents our work on extending MapProxy\u2014a widely used open-source tile and proxy server\u2014to support next-generation geospatial formats through a modular plugin architecture.\r\n\r\nWe introduce new plugins that enable seamless support for:\r\n\r\n- **Cloud Optimized GeoTIFFs (COG)**\r\n- **Vector tiles**\r\n- **3D Tiles**\r\n\r\nThese enhancements allow MapProxy to serve as a unified gateway for both traditional and modern geospatial services. They enable seamless integration of high-performance, scalable 2D and 3D data delivery into enterprise workflows, while preserving compatibility with established OGC standards such as **WMS**, **WMTS**, and **TMS**.\r\n\r\n**Attendees will gain insights into:**\r\n\r\n- The architecture and design of the plugin system  \r\n- Implementation details  \r\n- Deployment strategies", "recording_license": "", "do_not_record": true, "persons": [{"code": "BWUNU7", "name": "Mete Ercan Pakdil", "avatar": "https://talks.staging.osgeo.org/media/avatars/photo_2021-10-09_23-50-22-cropped_zRMT6H8.jpg", "biography": "Mete is Geospatial Technical Lead at Mott MacDonald, with 10+ years of experience in geospatial tech, open-source tools, and cloud-native platforms. He\u2019s worked across aviation, infrastructure, and fintech\u2014helping teams turn complex spatial data into scalable, real-world solutions. Mete holds a PhD in Geographic Information Technology and enjoys building systems that are both innovative and interoperable.", "public_name": "Mete Ercan Pakdil", "guid": "71eb6a5a-248f-521c-af60-3a448498fce1", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BWUNU7/"}, {"code": "HNAJPU", "name": "Alex Briggs", "avatar": "https://talks.staging.osgeo.org/media/avatars/pen_pic_vENqz2G.jpg", "biography": "With over a decade of experience in the geospatial industry, Alex is a Principal Geospatial Consultant with Mott MacDonald and a Chartered Geographer. He leads GIS projects across various disciplines, dedicated to fostering digital innovation and promoting knowledge sharing.", "public_name": "Alex Briggs", "guid": "1f2bb789-34d3-5374-bc4c-a87550657842", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/HNAJPU/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/K7GULV/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/K7GULV/", "attachments": []}, {"guid": "e8a2ed13-4506-58b2-a55b-d34d34e8607a", "code": "EFZPKM", "id": 4291, "logo": null, "date": "2025-11-20T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4291-ai-in-qgis-hype-help-or-just-a-gimmick", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EFZPKM/", "title": "AI in QGIS: Hype, Help, or Just a Gimmick?", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "Artificial Intelligence is reshaping GIS, and QGIS plugins are catching up fast. This talk explores how AI and large language models (LLMs) can enhance geospatial workflows. We\u2019ll cover key concepts, demo real tools, and ask: do they work, can we trust them, and what are the trade-offs?", "description": "Artificial Intelligence (AI) is no longer just a buzzword - it\u2019s becoming increasingly a useful tool in the world of GIS, and QGIS plugins are quickly becoming more relevant and powerful in this space. This talk explores how AI and integrated LLM\u2019s can enhance geospatial workflows within QGIS.\r\nWe\u2019ll start by unpacking key terminology: What is AI? What is machine learning? What are large language models (LLMs)? And why do these technologies matter for geospatial professionals?\r\nThere\u2019s already an abundance of tools available - but which QGIS plugins actually work? Are they helpful in real-world projects? Can we trust their outputs? Who is using them, and how?\r\nWe\u2019ll explore these questions through practical examples, and also look at the pros and cons of current tools - highlighting key challenges around transparency, usability, and data quality.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BNKK3R", "name": "Pierre Kurth", "avatar": "https://talks.staging.osgeo.org/media/avatars/PK_470x515_grey_yPkKpZf.jpg", "biography": "Pierre is a seasoned Cartographer and GIS specialist with 20+ years of experience across print, digital, and spatial domains. Known for his hands-on approach and client-first mindset, he delivers impactful GIS training and guides organisations through seamless transitions to modern spatial systems. Since joining NGIS in 2022, he\u2019s expanded his training expertise across both open-source and enterprise GIS platforms. Catch him at FOSS4G Auckland - he might just map his way into your next project.", "public_name": "Pierre Kurth", "guid": "e91a5158-c8d5-58cd-a3d0-7b0c2e62eb5f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BNKK3R/"}, {"code": "7Z8LG8", "name": "Mike Gresham", "avatar": "https://talks.staging.osgeo.org/media/avatars/Professional_9IGriVN.jpg", "biography": "Mike has more than 20 years experience with geospatial applications in a wide range of industry fields and disciplines i.e. forestry, energy, civil infrastructure, asset management, geotechnical engineering, environmental impact assessments, mining, oil and gas. His interest areas include geospatial strategy and requirements analysis, application development, automation, remote sensing, cartography and the application of geospatial technologies in project environments.\r\n\r\nHe is also a strong advocate for the Open Source community and loves what it brings to the geospatial industry.", "public_name": "Mike Gresham", "guid": "ef11911a-4399-5032-873d-a436988f9c1d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7Z8LG8/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EFZPKM/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EFZPKM/", "attachments": []}, {"guid": "3feba157-5e4e-581a-8b8f-4c823b47adab", "code": "99UNTK", "id": 4521, "logo": null, "date": "2025-11-20T15:35:00+13:00", "start": "15:35", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4521-introducing-ogc-developer-tier-membership", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/99UNTK/", "title": "Introducing OGC Developer Tier membership", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "OGC wants developers more involved in testing and developing standards - and making sure standards have direct benefits in your work.", "description": "OGC is introducing a new developer tier of membership to allow developers to contribute and take advantage of OGC resources and activities more easily. This talk will outline the approach and benefits.", "recording_license": "", "do_not_record": false, "persons": [{"code": "AMJYRP", "name": "Robert Atkinson", "avatar": null, "biography": "Rob Atkinson is a Senior Research Engineer in the OGC Innovation Program, and a founding member of OsGeo. Rob has worked with many open source projects, notably helping Geoserver become the reference implementation for OGC WFS.", "public_name": "Robert Atkinson", "guid": "4a65d5f5-e1e8-5bfe-95eb-f46078ef6fc1", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/AMJYRP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/99UNTK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/99UNTK/", "attachments": []}, {"guid": "d662d146-0cb9-5196-863e-438bc6dc4403", "code": "7LDKC8", "id": 4542, "logo": null, "date": "2025-11-20T15:40:00+13:00", "start": "15:40", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4542-shaping-a-foss4g-community-in-bulgaria", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7LDKC8/", "title": "Shaping a FOSS4G community in Bulgaria", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "This lightning talk highlights the progress of forming a FOSS4G community in Bulgaria. After two local FOSS4Gs and one OSM mapathon we are still on our way of establishing the core of the community. These milestones represent significant progress and open up exciting opportunities for collaboration, learning, and growth.", "description": "People and companies working with FOSS4G technologies had never gathered together for networking until the first FOSS4G:BG in March 2024. The event had great success bringing together more than 100 participants from both the public and the private sectors. The second edition, held in March 2025, was even more ambitious and featured a full day of workshops followed by a day of talks. Moreover the OSM mapathon in May 2025 sparked interest in many university and high school students. All of this was possible to happen thanks to our informal organisation - QGIS.bg. More than just an organization, QGIS.bg serves as a platform for sharing GIS materials and tutorials in Bulgarian language.\r\nThis is only the beginning for us in shaping a stable community. While we face many challenges, we believe that we are on the right track. With enough motivation, consistency and shared passion we will eventually grow into the strong and vibrant FOSS4G community that Bulgaria deserves.", "recording_license": "", "do_not_record": false, "persons": [{"code": "8RLXWP", "name": "Teodora Koleva", "avatar": "https://talks.staging.osgeo.org/media/avatars/20250222_192754_QgkMZ1P.jpg", "biography": "I have recently graduated from my Bachelor's degree in Geospatial technologies from Sofia University with additional academic experience through Erasmus+ programs in Italy, Romania, and Poland. I have experience in spatial data analysis, urban planning and environmental GIS applications. I am currently doing freelance GIS consultancy and QGIS tutoring.", "public_name": "Teodora Koleva", "guid": "d9ba8de8-17ee-5537-ade4-75bab8d6c92e", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8RLXWP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7LDKC8/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7LDKC8/", "attachments": []}, {"guid": "5e79d313-759e-5a07-996c-08b7951cd9e4", "code": "3FH8AK", "id": 4417, "logo": null, "date": "2025-11-20T15:45:00+13:00", "start": "15:45", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4417-filling-the-gaps-mapping-marine-habitats-with-divers-aerial-imagery-and-algorithms", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3FH8AK/", "title": "Filling the Gaps: Mapping Marine Habitats with Divers, Aerial Imagery, and Algorithms", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "ORA Reefs aims to restore degraded rocky reef ecosystems across T\u012bkapa Moana by removing large-scale kina barrens. To support marine habitat identification and monitoring, we are developing a classification pipeline in Python and QGIS. Using the Depth-Invariant Index to isolate seabed reflectance from water column reflectance.", "description": "ORA Reefs is a new initiative developed by Ocean Regeneration Aotearoa (ORA) Trust to actively restore degraded rocky reef and benthic ecosystems across T\u012bkapa Moana/the Hauraki Gulf, New Zealand. Sea urchin barrens are a dominant stressor on rocky reef ecosystems worldwide due to the overfishing of key predators. Evidence shows that releasing barren rocky reefs from kina (Evechinus chloroticus) grazing pressure in the Hauraki Gulf through large-scale removal enables biodiversity regeneration within 2 years. ORA Reefs\u2019 initial focus is to pilot large-scale kina barren removal alongside the development of artificial reefs on degraded benthic ecosystems. If successful, these interventions, alongside the development of Blue Nature Credits, may offer a way to unlock capital for ecosystems that have historically lacked funding. \r\n\r\nWhile dive surveys can provide high-resolution data including species composition and physical characteristics of the subtidal environment, they are expensive, require specialised scientific divers, and only cover small areas. Geospatial classification techniques could better support broad-scale habitat identification and monitoring over a significantly larger area at relatively little cost. However, at present it is difficult to accurately depict biodiversity and physical traits of subtidal marine habitats. Here, we aim to combine aerial imagery with diver surveys using machine learning and deep learning algorithms to classify near-shore broad-scale marine habitat.\r\n\r\nWe have begun developing a pipeline using Python and QGIS to classify these marine habitats, mitigating the issue of water column reflectance contribution to seabed reflectance by applying the Depth-Invariant Index (DII). The initial use-case trialled feeding DII layers through a Random Forest model with drone imagery that captured Blue, Green, Red, Red Edge, and Near Infrared (NIR) bands at ~5 cm resolution. Validation accuracy scores are promising and justify continual pipeline development to enhance marine habitat identification at different locations and times.", "recording_license": "", "do_not_record": false, "persons": [{"code": "AYQJM8", "name": "Laura Read", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_00821_mefwOhD.jpeg", "biography": "Laura is a geospatial analyst with expertise in GIS, statistical analysis, and user experience design, applying these skills to transdisciplinary problem-led research in marine and terrestrial ecosystems. She holds a BSc in Environmental Science and Geographic Information Science and a BBus in Sustainable Enterprise and Design. At EnviroStrat, she leverages her geospatial expertise to support impact investment projects, ecosystem restoration, and nature-based solutions. Day-to-day, Laura utilises Python, R, PostgreSQL, and QGIS. She brings a technical and analytical perspective to sustainable resource management and blue economy development, with a particular interest in utilising deep learning, remote sensing, and ocean condition models.", "public_name": "Laura Read", "guid": "6f6e40df-9a6f-5765-a9ba-c0c4de19d122", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/AYQJM8/"}, {"code": "MZAKTD", "name": "Thomas Dowling", "avatar": "https://talks.staging.osgeo.org/media/avatars/Tom-9204_0MgiqeY.jpg", "biography": "I am a remote sensing specialist who focuses on the environmental challenges we face today, with a particular interest in the maritime. I started in Physical Geography at Durham (UK), before moving on to a Masters in Environmental Science at Cambridge (UK). Since finishing a PhD in glaciology (Lund, Sweden) I worked in commercial geospatial intelligence, before moving back into academia with a focus on the validation and application of remotely sensed data (land surface temperature) at King\u2019s College London (KCL). These projects involved collaboration with ILRI, NASA-JPL and ESA, working in diverse environments from East Africa to China and across Europe. After KCL I continued work on land surface temperature at the UK's National Centre for Earth Observation (NCEO). Most recently I spent time working in the maritime domain before taking up the post of lecturer at the University of Auckland.", "public_name": "Thomas Dowling", "guid": "dcf6567f-8aaa-52f9-91fe-b9d0e80b362b", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/MZAKTD/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3FH8AK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3FH8AK/", "attachments": []}, {"guid": "476e8b0e-260d-5374-8096-77292f6e35d6", "code": "TBNEFD", "id": 4500, "logo": null, "date": "2025-11-20T15:50:00+13:00", "start": "15:50", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4500-semantic-spatial-search-with-natural-language-integrating-nl2sql-with-postgis-pgvector", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TBNEFD/", "title": "Semantic Spatial Search with Natural Language: Integrating NL2SQL with PostGIS & pgVector", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "We propose a semantic spatial search architecture that understands users\u2019 natural language requests and precisely retrieves optimal locations from PostGIS and pgVector using NL2SQL.", "description": "A Semantic Spatial Search Architecture Based on Natural Language: Integrating NL2SQL with PostGIS and pgVector\r\n\r\nTraditional location searches have relied on explicit keywords or structured database queries, such as \u201cAuckland Sky Tower.\u201d\r\n\r\nHowever, with the widespread adoption of LLMs, users increasingly expect to explore places using ambiguous and abstract expressions, like \u201cthe tallest building nearby\u201d or \u201ca cafe with a great view.\u201d\r\n\r\nTo overcome the limitations of these conventional search methods, we propose an architecture capable of directly understanding users\u2019 natural language and performing semantic spatial search.\r\n\r\nNatural Language Processing (NLP) techniques to analyze abstract user requirements\u2014such as \u201ccozy atmosphere\u201d or \u201ccost-effective\u201d\u2014and identifies their core intentions.\r\n\r\nBased on these intentions, it employs NL2SQL techniques to directly query spatial and vector data stored in PostGIS and pgVector, enabling precise retrieval of relevant objects.\r\n\r\nThrough the organic integration of these components, the proposed architecture goes beyond simple information retrieval\u2014performing multi-step reasoning on user intent and delivering high-level semantic spatial search that recommends the optimal location.\r\n\r\n---\r\n\r\nThis work is supported by the Korea Agency for Infrastructure Technology Advancement(KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant RS-2022-00143336, NTIS Grant: 2610000396)", "recording_license": "", "do_not_record": false, "persons": [{"code": "NKTGGU", "name": "Hanjin Lee", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_5341_Un6j9z2.JPG", "biography": "Hanjin Lee is a GIS Developer at the Gaia3D Inc. He has been working on application development and education using open source GIS for many years. Worked in data processing, visualization, and communicating information intuitively. More recently, he's been interested in GeoAI and hopes to use it to develop applications that capitalize on emerging technology trends.", "public_name": "Hanjin Lee", "guid": "e752a552-706f-5bc7-ac31-dcd646aaca77", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NKTGGU/"}, {"code": "F7LELM", "name": "Jungin Yoon", "avatar": null, "biography": "SW Developer from Gaia3D", "public_name": "Jungin Yoon", "guid": "a9908012-8fb6-5a32-b55a-0b5201747dd6", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/F7LELM/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TBNEFD/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TBNEFD/", "attachments": []}, {"guid": "a9563d5d-4005-5580-9c3b-23726e703adb", "code": "GSE9DT", "id": 4232, "logo": null, "date": "2025-11-20T15:55:00+13:00", "start": "15:55", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4232-develop-traffic-simulator-for-urban-planning-integrated-2d-3d-platform-workflow-for-urban-planning", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GSE9DT/", "title": "\u201cDevelop Traffic Simulator for Urban Planning\u201d \u2014 Integrated 2D/3D Platform Workflow for Urban Planning", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "This project builds a scenario-based simulation platform for urban planners and policy makers, presenting a real-time integrated workflow that supports the entire process from scenario creation to result analysis and comparison.", "description": "Urban traffic systems are rapidly becoming more complex due to urban expansion, new town developments, and the diversification of transportation modes. Therefore, a user-centered system is needed to examine various scenarios during planning and to intuitively understand the results.\r\n\r\nPurpose:\r\n- To support urban planners and policy makers with an end-to-end traffic simulation platform that enables interactive scenario editing, execution, and comparative visualization based on real city data.\r\n\r\nThis system is built based on actual urban data, utilizing transportation network and station data from Seoul and Daejeon in GeoJSON and PostGIS formats as simulation input. Users can modify road networks and route structures through a scenario editor, configure various demand conditions, and execute simulations. Scenarios are edited and visualized in 2D and 3D using OpenLayers and CesiumJS, and the results can be explored in real-time through analysis tools such as scenario comparison, time filtering, and route change analysis.\r\n\r\nKey Features:\r\n- Scenario builder for editing roads, routes, and simulation parameters\r\n- Integrated 2D (OpenLayers) and 3D (CesiumJS) visualization per scenario\r\n- Time filter, route change analyzer, and side-by-side comparison UI\r\n- Workflow: Edit \u2192 Simulate \u2192 Visualize \u2192 Analyze\r\n\r\nThe entire structure is implemented based on a microservice architecture, allowing each function to be independently scalable and flexibly integrated with external traffic modeling engines.\r\n\r\nThis presentation shares the practical implementation experience of an open-source-based integrated workflow platform, applied to real urban data from Seoul and Daejeon.\r\n\r\nOpen Source Technologies Used:\r\n- **CesiumJS** for immersive 3D scenario playback\r\n- **OpenLayers** for 2D route editing and spatial analysis tools\r\n- **PostGIS** and **GeoJSON** for simulation data input\r\n\r\nThis work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (RS-2024-00459703, Development of next-generation AI integrated mobility simulation and prediction/application technologies for metropolitan cities)", "recording_license": "", "do_not_record": true, "persons": [{"code": "C8VYQW", "name": "Hansang Kim", "avatar": null, "biography": null, "public_name": "Hansang Kim", "guid": "cd9a3620-9888-5f6a-8fe6-17a814afc473", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/C8VYQW/"}, {"code": "8WZ7K3", "name": "Sungjo MIN", "avatar": null, "biography": null, "public_name": "Sungjo MIN", "guid": "057e5e9b-614b-53c6-bbf4-f39bf95e2ba8", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8WZ7K3/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GSE9DT/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GSE9DT/", "attachments": [{"title": "Urban Traffic Simulator Workflow", "url": "/media/foss4g-2025/submissions/GSE9DT/resources/UrbanTrafficSimulator_Workflow_Aw9YcHY.pdf", "type": "related"}]}, {"guid": "a1e3a916-eabc-5f10-aad0-3f0ba6130c9c", "code": "XUFKY9", "id": 4459, "logo": null, "date": "2025-11-20T16:00:00+13:00", "start": "16:00", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4459-gis-for-football", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XUFKY9/", "title": "GIS for football", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "It can be a hard problem for casual community football groups to line-mark the outline of a football pitch rapidly and dynamically, in varying temporary locations and sizes, on public grounds. Can GIS fix it?", "description": "This will be a demonstration of a prototype mobile tool for generating football pitch geometries dynamically on location, that allows casual community football groups to make temporary line markings easily and accurately when combined with a suitable consumer-grade mobile location device.", "recording_license": "", "do_not_record": false, "persons": [{"code": "FDTZ7V", "name": "radhika", "avatar": null, "biography": "radhika is a software developer in t\u0101maki makaurau, sometimes working on geospatial problems, sometimes playing football, and sometimes doing both at once.", "public_name": "radhika", "guid": "277b97dc-a3a8-59d9-96f8-6e4058deb698", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/FDTZ7V/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XUFKY9/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XUFKY9/", "attachments": []}, {"guid": "b9e689a1-620a-55ee-b832-3a3d5a0bab66", "code": "9NHRGH", "id": 4345, "logo": null, "date": "2025-11-20T16:05:00+13:00", "start": "16:05", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4345-tracing-the-chaos-observability-for-web-applications", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9NHRGH/", "title": "Tracing the Chaos: Observability for Web Applications", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Learn how to bring real-time observability to your web applications using monitoring tools. We\u2019ll cover how to track errors, performance bottlenecks, and user-impacting issues without drowning in logs.", "description": "Observability isn\u2019t just for big tech companies, large IT infrastructure or non spatial projects it\u2019s for all web applications too. In this lightning talk, I\u2019ll show how you can get  immediate insights into the real-world behaviour of your applications by using monitoring tools such as Sentry.  \r\n\r\nThe talk will use real world examples using Sentry which is a source-available platform with a strong open core model. While not fully OSI open source, it offers transparency, self-hosting, and a generous license for individuals and small teams. In this talk Sentry is used as a practical example, the focus is on core principles of observability and monitoring that apply broadly.\r\n\r\nWe\u2019ll start with a quick look at what observability means when working with modern web applications, and why traditional logging alone doesn\u2019t cut it. Then we will show examples of how monitoring integrates into applications, capturing uncaught exceptions, tracking performance issues like slow API calls or render delays, and tying everything back to real user sessions.\r\n\r\nI\u2019ll highlight how observability fits into your development workflow and surfacing issues in real time, grouping similar errors,. You\u2019ll also see how performance monitoring works out of the box and might you might need to  tweak to  get useful information, for example retrieving what is displayed on a spatial map.\r\n\r\nWhether you\u2019re debugging spatial maps not showing, flaky frontends or mysterious server errors, this talk will give you a fast, practical intro to making your apps more observable using open source tools you can start with today.", "recording_license": "", "do_not_record": false, "persons": [{"code": "LLDHRA", "name": "Jamie Sherriff", "avatar": "https://talks.staging.osgeo.org/media/avatars/Jamie_Grey_High_XEZVQ9d.jpg", "biography": "Jamie leads\u00a0Abley\u2019s software development team, helping\u00a0organisations harness geospatial and software technology to make smarter decisions", "public_name": "Jamie Sherriff", "guid": "4db3e410-3894-5799-9796-fd7571d1d877", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LLDHRA/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9NHRGH/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9NHRGH/", "attachments": []}, {"guid": "12f60977-1035-5c01-8b91-4b9e77d45370", "code": "TJTC3X", "id": 4363, "logo": null, "date": "2025-11-20T16:10:00+13:00", "start": "16:10", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4363-beyond-square-pixels-h3-spatial-indexing-for-global-raster-data", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TJTC3X/", "title": "Beyond Square Pixels: H3 Spatial Indexing for Global Raster Data", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Workflow demonstration converting 20GB+ raster datasets like GEDTM30 global DEM to H3 hexagonal grids at resolution 12. Complete pipeline uses GDAL, DuckDB, and GeoParquet for QGIS visualization. Benefits include eliminated projection boundaries, consistent global coverage, and scalable OGC REST API with O(1) retrieval performance for modern cloud-native workflows", "description": "This lightning talk demonstrates a practical workflow for converting raster data (like 20GB+ DEM datasets such as  GEDTM30 global 1-arc-second (~30m or ~900m\u00b2) Digital Terrain Model) to H3 Discrete Global Grid Systems (DGGS) with resolution 12 (around ~300m\u00b2),enabling global spatial analysis minimising  projection distortions. H3 provides much more consistent spatial partitioning compared to traditional raster projections, especially at global scales, with less proportional distortion (closer to the poles) compared to square pixels in Web Mercator or other commonly used projections.\r\nThe presentation showcases a complete pipeline: H3 hashes parquet file \u2192  Raster  reading to H3 parquet \u2192 Parquet storage and processing (using GDAL + DuckDB) \u2192 Parquet to Geopackage conversion \u2192 QGIS visualization. Using the GEDTM30 global DEM as example data, pixel values are mapped to H3 cells at specified resolution and stored efficiently in columnar format, then converted to GeoParquet for seamless visualization workflows. When deployed as a OGC REST API, single H3 hash requests achieve near-constant time O(1) cell data retrieval, enabling the system to scale to massive datasets while maintaining consistent per-request performance.\r\nKey benefits include eliminated projection edge effects, consistent global hexagonal coverage, hierarchical multi-scale analysis, and compatibility with modern cloud-native geospatial tools. Attendees will see live demonstrations of H3 tools, practical code examples, performance comparisons and usage of a H3 REST API as data source on a local calculation workflow. This approach transforms how we handle large-scale geospatial raster data, making global analysis more accessible and accurate.", "recording_license": "", "do_not_record": false, "persons": [{"code": "GDVTCB", "name": "Jorge S. Mendes de Jesus", "avatar": null, "biography": "Jorge S. Mendes de Jesus is an Agronomist and geoinformatics specialist with a PhD in Geography and Sustainable Development from Ben-Gurion University. He has extensive experience in spatial data infrastructures, having worked at the Joint Research Center (ISPRA) as an OGC web service developer, Plymouth Marine Laboratory on remote sensing applications, and ISRIC on major projects including SoilGrids and WOCAT. Jorge currently runs TerraOps - Innovations (https://terraops.org), providing Geo-as-a-Service solutions and REST API development for geospatial data using the OSGeo stack. His expertise spans Python programming, Kubernetes deployment, and spatial data analysis for agricultural and environmental applications.", "public_name": "Jorge S. Mendes de Jesus", "guid": "85647afe-a73d-5d50-84ba-514a35847d05", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GDVTCB/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TJTC3X/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TJTC3X/", "attachments": []}, {"guid": "c252123c-0d40-5757-9bc3-427b2a43373a", "code": "UEAYPT", "id": 3751, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/UEAYPT/SafenRedi_ADRA_Q3bNnRr.jpg", "date": "2025-11-20T16:15:00+13:00", "start": "16:15", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-3751-safe-n-redi-community-led-resilience-mapping-through-open-source-tools-in-the-pacific", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UEAYPT/", "title": "Safe n Redi: Community-Led Resilience Mapping through Open Source Tools in the Pacific", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Safe n Redi is a regional platform supporting disaster preparedness through local mapping of churches, community halls, and shelters. This talk highlights how trained volunteers use KoboToolbox and QGIS to assess evacuation readiness and improve resilience from the ground up in Fiji, Tonga, Vanuatu, and Solomon Islands.", "description": "In the Pacific, when disaster strikes, people turn first to places they trust: churches, community halls, and schools. Many of these act as informal evacuation centers\u2014spaces that communities rely on but are rarely documented in formal preparedness systems. The Safe n Redi (SnR) platform was created to change this.\r\n\r\nDeveloped through the CAN DO Network and implemented by agencies like ADRA Fiji, SnR is a platform used across Fiji, Tonga, Solomon Islands, and Vanuatu to assess how prepared local buildings are to serve as safe spaces. Whether a church or community hall, each compound is mapped and evaluated on structural integrity, water and sanitation, electricity, accessibility, and evacuation capacity.\r\n\r\nWhat makes this initiative unique:\r\n\r\nIt combines faith-based coordination (churches still make up the majority of compounds) with inclusive community infrastructure.\r\n\r\nIt is open to anyone\u2014enumerators, project officers, and church or community leaders\u2014who receives training on KoboToolbox, mobile-based data collection, and geospatial assessment tools.\r\n\r\nThe data is visualized using QGIS, integrated into Power BI, and hosted on a web-based dashboard that supports decision-making at national and regional levels.\r\n\r\nThis session will walk through:\r\n\r\nThe registration and vetting process for using Safe n Redi across countries.\r\n\r\nField implementation: how enumerators are trained in open-source tools to assess buildings on disability suitability, water access, ventilation, structural safety, and more.\r\n\r\nExamples from Fiji and beyond, where communities used the platform to advocate for safer evacuation infrastructure.\r\n\r\nHow church and community leaders use this platform not just as a technical tool, but as a conversation starter for resilience.\r\n\r\nSafe n Redi is an open, adaptable, and locally owned solution for countries that rely on community-driven action in the face of disaster. Built with trust, backed by data, and powered by open tech\u2014it\u2019s a model for resilience from the Pacific to the world.", "recording_license": "", "do_not_record": false, "persons": [{"code": "UADXU9", "name": "Maloni Vakacavu Siga", "avatar": null, "biography": null, "public_name": "Maloni Vakacavu Siga", "guid": "b8df35c9-2367-519b-9468-6b2c7b876b89", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/UADXU9/"}, {"code": "KXNZTV", "name": "Silovate Batirerega", "avatar": "https://talks.staging.osgeo.org/media/avatars/viber_image_2025-10-30_14-46-49-377_NKxhRdf.jpg", "biography": "GIS Coordinator - Safe N Redi, CANDO Project, ADRA Fiji.", "public_name": "Silovate Batirerega", "guid": "a0e7ac0b-ac03-5c7a-9a0c-7ee2f5048e4d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KXNZTV/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UEAYPT/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UEAYPT/", "attachments": []}, {"guid": "105b327a-4fe7-54cb-a536-8817f7ee043b", "code": "VNEHDC", "id": 4532, "logo": null, "date": "2025-11-20T16:20:00+13:00", "start": "16:20", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4532-rebuilding-terriamap-ui-a-minimalist-approach-without-forking-terriajs", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VNEHDC/", "title": "Rebuilding TerriaMap UI: A Minimalist Approach Without Forking TerriaJS", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "TerriaMap is just a wrapper around TerriaJS core. This talk will demonstrate how to strip away the default UI without touching the core and add two custom controls: switching between 2D/3D view modes and toggling base maps.", "description": "TerriaMap wraps the powerful TerriaJS engine, but it comes with a pre-built UI that may not suit every project. In this talk, I\u2019ll show how you can completely remove the standard UI in TerriaMap and build a simple custom interface, without touching TerriaJS core code or maintaining a fork.\r\n\r\nI\u2019ll walk through how to hook into UserInterface.tsx, connect to the Terria instance, and wire up two minimalist controls: switching between 2D/3D view modes and toggling base maps. The talk will feature a few before-and-after screenshots, as well as a link to a public repository with the full implementation for anyone interested in diving deeper.", "recording_license": "", "do_not_record": false, "persons": [{"code": "B8RZHT", "name": "Yuri Vyatkin", "avatar": null, "biography": "A mathematician converted to geospatial software engineering.", "public_name": "Yuri Vyatkin", "guid": "67490ab2-26d4-548d-92b6-38d6dcab810f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/B8RZHT/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VNEHDC/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/VNEHDC/", "attachments": []}], "WG308 TE IRINGA": [{"guid": "5c64f154-a735-53c0-9570-c3d52225e838", "code": "RSS7NB", "id": 4457, "logo": null, "date": "2025-11-20T09:00:00+13:00", "start": "09:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4457-kart-git-for-geospatial-version-control-for-vector-raster-and-point-cloud-data", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RSS7NB/", "title": "Kart: Git for Geospatial - Version Control for Vector, Raster, and Point Cloud Data", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "Kart brings Git-style version control to geospatial data, enabling teams to track changes, create branches, and collaborate on spatial datasets just like code.\r\n\r\nhttps://kartproject.org/", "description": "Why Kart?\r\n- Native support for Postgres, SQL Server, MySQL, and GeoPackage working copies\r\n- Git under the hood - Works with Git hosting platforms\r\n- Built-in import/export for common geospatial formats\r\n- Unified management of vector data, tiled rasters and point clouds\r\n\r\nWhat you'll learn:\r\n- See Kart in action with real-world examples across vector, raster, and point cloud datasets\r\n- Architectural insights: How we adapted Git's model for spatial data\r\n- Lessons learned: Technical challenges and solutions in geospatial versioning\r\n- Hosting options for your Kart data\r\n\r\nWho should attend: GIS professionals, data engineers, and developers working with evolving spatial datasets who want better collaboration and change tracking.", "recording_license": "", "do_not_record": false, "persons": [{"code": "JUSNRT", "name": "Craig de Stigter", "avatar": null, "biography": "Craig's a dad, a geek and engineering lead at Koordinates, building the future of geospatial data management.\r\n\r\nWith strong interests in automation, efficiency and product quality, Craig has a history of churning out excellent software in mostly-Python at high velocity. He likes building anything really, as long as he gets to use power tools.", "public_name": "Craig de Stigter", "guid": "4c9bb8c2-4559-51e4-98ac-e7228db22ee5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/JUSNRT/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RSS7NB/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RSS7NB/", "attachments": []}, {"guid": "3bb097a8-4d64-5c80-aeae-72d00be0c660", "code": "BHNUHK", "id": 4278, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/BHNUHK/output6_IS8PY5r.png", "date": "2025-11-20T09:30:00+13:00", "start": "09:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4278-wait-qgis-can-do-what", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BHNUHK/", "title": "Wait... QGIS Can Do What?", "subtitle": "", "track": "Desktop GIS & Data Collection", "type": "Talk", "language": "en", "abstract": "This talk will take you on a whirlwind tour of hidden and advanced features of the world's most popular open-source desktop GIS.", "description": "*Did you know you can use QGIS from the command-line?* ... or\r\n\r\n*Create a map from your photos in a single click?* ... or\r\n\r\n*Do fuzzy data joins?* ... or\r\n\r\n*Create 3D fly-throughs?* .. \r\n\r\nCome and discover new features and tools you didn't know existed in QGIS and - help you work faster and smarter.", "recording_license": "", "do_not_record": false, "persons": [{"code": "ATDGPE", "name": "Ujaval Gandhi", "avatar": "https://talks.staging.osgeo.org/media/avatars/ujaval_round_KYEFkgr.png", "biography": "Ujaval is the founder of [Spatial Thoughts](https://spatialthoughts.com/) - a learning platform for modern geospatial technologies. Ujaval got his Masters in Geospatial Information Engineering from the University of Wisconsin-Madison. After joining Google Inc. in California, he moved to India in 2006. He was one of the early employees at Google India and part of the team that launched Google Maps for India. He worked on multiple Geo teams at Google and led the GIS team in India.\r\n\r\nAfter 15 years of corporate experience, he left Google in 2020 to work on his startup - Spatial Thoughts - to create a learning platform to bridge the skill gap in the geospatial industry. His online academy has trained participants from over 100 countries. His learning materials on QGIS, Python, Earth Engine, and GDAL are cited as the top learning resources globally and are used by more than 1 million people every year.\r\n\r\nUjaval is a world-renowned training facilitator and is passionate about advancing the use of open-source technologies in teaching and research. He is an active QGIS community contributor and a QGIS.org certified training provider.", "public_name": "Ujaval Gandhi", "guid": "f79ce8ae-af5b-597b-8b13-0d9ed7095a65", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ATDGPE/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BHNUHK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BHNUHK/", "attachments": []}, {"guid": "3bd0ce18-0466-53fe-b749-1c881b370f53", "code": "HGK9G7", "id": 4438, "logo": null, "date": "2025-11-20T10:00:00+13:00", "start": "10:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4438-state-of-un-open-gis-initiative", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HGK9G7/", "title": "State of UN Open GIS Initiative", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "UN Open GIS Initiative has been developing an open source GIS bundle for UN operations since 2016. This presentation will introduce its activities such as hybrid GIS development and capacity building. This presentation will also introduce the future directions for the second decade of the initiative, for open discussion.", "description": "The UN Open GIS Initiative enters its second decade of transforming geospatial technology within the United Nations system. Since 2016, the initiative has developed open source GIS bundle for UN peace operations. This presentation introduces key activities including hybrid GIS development, capacity building, and drone mapping while exploring future directions for community collaboration.\r\n\r\nLaunched in 2016 under the Partnership for Technology in Peacekeeping initiative of the United Nations Department of Operational Support (DOS), the UN Open GIS Initiative emerged from the critical need to efficient geospatial technology across UN operations. Over the past nine years, the initiative has established itself through several key activity areas. Hybrid GIS development pioneered a pragmatic approach to GIS implementation, integrating open-source and proprietary solutions based on operational needs. Comprehensive capacity building programs were developed recognizing that technology alone cannot solve complex geospatial challenges. These programs range from basic GIS literacy for field staff to advanced technical training for geospatial specialists.\r\n\r\nThe UN Open GIS Initiative now operates through a federated structure that includes multiple Domain Working Groups (DWGs), each focusing on specific aspects of geospatial technology and application. Among these is DWG 7, the UN Smart Maps Group, which specializes in testing emerging technologies for future geospatial operations. The initiative maintains strategic partnerships with the OSGeo Foundation to ensure alignment with global open-source geospatial development.\r\n\r\nThe second decade brings new challenges that require innovative approaches. Scaling across diverse contexts involves adapting solutions that work in peacekeeping contexts for humanitarian, development, and specialized agency needs. Technology evolution requires keeping pace with rapid technological change while maintaining stability and reliability in operational environments. Capacity sustainability ensures that capacity-building efforts create lasting institutional change rather than temporary improvements. Data sovereignty and security considerations balance open data principles with legitimate security concerns and national sovereignty requirements.\r\n\r\nLooking ahead, the UN Open GIS Initiative is positioning itself to address emerging global challenges through several strategic directions. Enhanced integration involves deeper integration with UN reform initiatives and the UN's digital transformation agenda. Community-centric development increases focus on community-driven development and local ownership of geospatial solutions. Emerging technology adoption includes systematic exploration and adoption of emerging technologies including distributed web systems, Internet of Things integration, and advanced AI applications. Global partnerships expand partnerships with national governments, academic institutions, and civil society organizations to create a truly global geospatial commons.\r\n\r\nThe UN Open GIS Initiative's first decade demonstrates the transformative potential of open geospatial technology in international cooperation. As the initiative enters its second decade, it seeks to deepen engagement with the global FOSS4G community, leveraging collective expertise to address increasingly complex global challenges.", "recording_license": "", "do_not_record": false, "persons": [{"code": "WFYVSX", "name": "Hidenori Fujimura", "avatar": "https://talks.staging.osgeo.org/media/avatars/291758c0c209bde10f952531c1221a54_BnweF4u.jpg", "biography": "I'm an engineer passionate about geospatial technology and international development \u2764\ufe0f\u200d\ud83d\udd25\r\n\r\n\ud83d\uddfa\ufe0f I lead the UN Smart Maps Group, the seventh domain working group under the UN Open GIS Initiative.\r\n\ud83d\ude80 I also lead the Quick Mapping Project, a collaboration between JICA and OpenStreetMap.\r\n\ud83e\udde9 I specialize in vector tiles and portable, distributed mapping, such as UNVT POD.\r\n\ud83c\udf10 I serve as Senior Advisor on Geospatial Information for JICA. I have supported 12+ international development projects.", "public_name": "Hidenori Fujimura", "guid": "33ed9af3-af94-58a8-a729-c3ece6eac89d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/WFYVSX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HGK9G7/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HGK9G7/", "attachments": []}, {"guid": "728bb16f-2e5a-5663-a08e-d5ed19d8acab", "code": "9UQEWT", "id": 4336, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/9UQEWT/I-Plan_FOSS4G_2025_R2vbikL.jpg", "date": "2025-11-20T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4336-empowering-urban-planning-with-open-geospatial-technologies-the-i-plan-experience-in-malaysia", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9UQEWT/", "title": "Empowering Urban Planning With Open Geospatial Technologies: The I-Plan Experience In Malaysia", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "This presentation highlights Malaysia\u2019s I-Plan system, which empowers urban planning through open geospatial technologies. By integrating multi-source land use data, I-Plan enhances planning efficiency, transparency, and collaboration. Key lessons on data harmonization, stakeholder support, and capacity building will be shared to inspire similar initiatives.", "description": "Urban planning increasingly relies on accurate, accessible, and up-to-date geospatial information to support sustainable development and informed decision-making. However, traditional planning systems often suffer from fragmented data, inconsistent standards, and limited stakeholder engagement.\r\n\r\nThis presentation shares Malaysia\u2019s experience in addressing these challenges through the development and implementation of I-Plan \u2014 an integrated planning land use information system built on open geospatial technologies. I-Plan consolidates multi-source planning data into a centralized, interactive web-GIS platform that empowers planners, agencies, and the public to access, analyze, and utilize spatial information more effectively.\r\n\r\nThe presentation highlights I-Plan\u2019s architecture, key features, and the open-source tools that make it scalable and adaptable to various planning needs. It also discusses practical lessons learned in harmonizing diverse datasets, ensuring multi-level support, and building local capacity to manage and maintain the system.\r\n\r\nBy showcasing the I-Plan experience, this session demonstrates how open geospatial solutions can drive better urban governance, promote data-driven planning, and foster greater transparency and collaboration among stakeholders.", "recording_license": "", "do_not_record": false, "persons": [{"code": "PNKQDM", "name": "Muhamad Ikhwan bin Saadon", "avatar": "https://talks.staging.osgeo.org/media/avatars/280_0unEQPD.png", "biography": "Muhamad Ikhwan bin Saadon is a Town and Country Planning Officer serving in the National Land Information Division at PLANMalaysia, the Malaysian Town and Country Planning Department. With over 13 years of experience in Geographic Information Systems (GIS) and physical planning, he plays an integral role in developing, managing, and implementing land information systems at the national level.", "public_name": "Muhamad Ikhwan bin Saadon", "guid": "c3e9ee51-d0d1-5717-970d-7b3da9838ac4", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PNKQDM/"}], "links": [{"title": "I-Plan System", "url": "https://iplan.planmalaysia.gov.my/", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9UQEWT/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9UQEWT/", "attachments": []}, {"guid": "c6a92018-d5ed-5966-aa21-b6e14c0c7aa8", "code": "HQUFT7", "id": 4390, "logo": null, "date": "2025-11-20T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4390-vrprouting-vehicle-routing-optimization-inside-postgresql", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HQUFT7/", "title": "vrpRouting: Vehicle-Routing Optimization inside PostgreSQL", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "We introduce vrpRouting, a PostgreSQL/PostGIS extension embedding meta-heuristic VRP solvers. It returns LINESTRING routes and stop attributes, solving multi-depot, pickup-and-delivery, and time-window problems at city scale while enabling fully in-database optimization of stored road networks and logistics data.", "description": "Complex logistics\u2014such as parcel delivery, curbside recycling, and emergency response\u2014depend on Vehicle Routing Problem (VRP) solvers that can handle multiple stops, depots, and tight time windows. Most open solutions run outside the spatial database, forcing data to shuttle through files and scripts. vrpRouting eliminates that bottleneck. Distributed as a PostgreSQL extension on top of PostGIS and pgRouting, it embeds optimization algorithms\u2014including tabu-search and other meta-heuristics\u2014directly in database-native functions. Users store streets, depots, and orders where they already live in the database and receive optimized LINESTRING routes and per-stop attributes with no ETL overhead. Under the hood, vrpRouting streams network geometry to its engines, respects turn restrictions and one-way rules from PostGIS, and solves city-scale instances under tight time frames. A single query can pivot from capacitated one-depot scenarios to multi-depot pickup-and-delivery or strict time-window problems by toggling function parameters. We showcase this capability using OSM data for Auckland, routing parcel stops, scores of vehicles, and depot-specific time windows across the entire urban road graph, then visualizing driver sequences live in QGIS through a direct PostGIS connection. The presentation will unpack the extension\u2019s architecture and current function set and walk through the Auckland case study. By keeping optimization within PostgreSQL, vrpRouting enables practitioners to transition from raw road graphs to production-ready routes with minimal database calls, thereby preserving the open-source ethos at the heart of FOSS4G.", "recording_license": "", "do_not_record": false, "persons": [{"code": "DUUVVD", "name": "Vicky Vergara", "avatar": "https://talks.staging.osgeo.org/media/avatars/30d07ab4c5a21860824dcb1fcf0d1313_Geucnfi.jpg", "biography": "I am an Economist and Computer Scientist, pgRouting fan and developer.\r\n\r\nOpen Source Software advocate.\r\n\r\n* pgRouting project leader and developer since 2013 Including the subproducts:\r\n  * pgRouting,\r\n  * pgRoutingLayers,\r\n  * osm2pgRouting.\r\n* Google Summer of Code mentor since 2015\r\n* FOSS4G speaker since 2015\r\n* PSC member of OSGeoLive\r\n* Currently member of the Board of Directors of the OSGeo Foundation.", "public_name": "Vicky Vergara", "guid": "bd0eba48-aba6-505b-90ab-a3e30b7365ae", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/DUUVVD/"}, {"code": "37VPNQ", "name": "Joseph Percival", "avatar": null, "biography": "Software engineer and postdoctoral researcher at the University of Hawaii.", "public_name": "Joseph Percival", "guid": "8d233482-8580-53a9-a583-8f9816d45bb9", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/37VPNQ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HQUFT7/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HQUFT7/", "attachments": []}, {"guid": "e677ae3a-e10e-582c-b7e0-8ab56dc089a3", "code": "ANCEU3", "id": 4410, "logo": null, "date": "2025-11-20T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4410-geoserver-3-status-report", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ANCEU3/", "title": "GeoServer 3 Status Report", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "This presentation is an in-depth status update on GeoServer 3, an overhaul of the popular open-source server for spatial data and web services. Supported by a community-driven crowdfunding effort, GeoServer 3 modernizes the platform\u2019s foundation to ensure it meets the growing demands of the geospatial community.", "description": "We\u2019ll first analyze the GeoServer 2.x status quo, and the effect of cascading changes that a \u201csimple\u201d Spring upgrade caused, turning the activity into a cross project overhaul, and how the large effort required got socialized and eventually brought to implementation via in-kind volunteering and a crowdfunding campaign driven by Camp2Camp, GeoCat and GeoSolutions.\r\n\r\nWe will explore the planned milestones in the transition to GeoServer 3. These include critical refactorings, such as replacing aging libraries, adopting modern Java frameworks, and integrating support for the latest versions of GeoTools and GeoWebCache. Key technical advancements include the evolution and integration of ImageN for improved raster data processing, the migration from Wicket 7 to Wicket 10 for a modernized and more secure web user interface, and the adoption of Jakarta EE and Spring 6 to support enhanced security, scalability, and long-term compatibility with modern Java ecosystems.\r\n\r\nJoin us to investigate progress, reflect on the lessons learned, and get inspired by what\u2019s possible with GeoServer 3\u2014a project that continues to empower geospatial professionals and organizations worldwide.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ANCEU3/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ANCEU3/", "attachments": []}, {"guid": "1d3ca4b9-535a-5b26-a20c-8ebf808c98d8", "code": "PJFGBP", "id": 3771, "logo": null, "date": "2025-11-20T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-3771-open-source-intellectual-property", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PJFGBP/", "title": "Open Source Intellectual Property", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "What even is Intellectual Property? I thought this was a Free Open Source Software conference!\r\n\r\nI'll talk about potential issues with software licensing and other boring but important topics to ensure everyone keeps having a good time (except the lawyers).", "description": "Intellectual Property laws and rights are a \"Boring but Important\u201d part of the open-source software ecosystem. \r\n\r\nIn this talk I'll cover a few topics:\r\n* The nascent EU Cyber Resilience Act, a new governing framework outlining some additional rights/restrictions/responsibilities for software producers.\r\n* Why you should care about Intellectual Property Rights.\r\n* Defining Copyright and Licensing\r\n* How to choose a Software License\r\n* How to apply a Software License", "recording_license": "", "do_not_record": false, "persons": [{"code": "NR7HGW", "name": "Jonah Sullivan", "avatar": "https://talks.staging.osgeo.org/media/avatars/avataaars_DuqSN9j.png", "biography": "Public Sector Geospatial Advisor in Canberra", "public_name": "Jonah Sullivan", "guid": "2afa2fd1-bd91-5173-82d9-91b200c1f187", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NR7HGW/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PJFGBP/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PJFGBP/", "attachments": []}, {"guid": "2c2c175b-3c09-5f1b-9e41-b542de29b5b7", "code": "9YJZE3", "id": 4464, "logo": null, "date": "2025-11-20T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4464-fighting-invasive-predators-with-open-source-how-qfield-empowers-zip-s-mission-for-a-predator-free-new-zealand", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9YJZE3/", "title": "Fighting Invasive Predators with Open Source | How QField Empowers ZIP\u2019s Mission for a Predator-Free New Zealand", "subtitle": "", "track": "Desktop GIS & Data Collection", "type": "Talk", "language": "en", "abstract": "ZIP uses QGIS, QField, and QFieldCloud to coordinate rapid field responses against invasive predators, helping achieve their mission of a predator-free New Zealand with powerful, real-time open-source tools.", "description": "Zero Invasive Predators (ZIP), a New Zealand-based charity, is on a bold mission: to eliminate invasive predators and restore New Zealand\u2019s native ecosystems. To meet this challenge, ZIP relies on a powerful open-source geospatial stack\u2014QGIS, QField, and QFieldCloud\u2014to bridge technical planning and field operations.\r\n\r\nThis talk will showcase how QField and QFieldCloud enable ZIP\u2019s field teams to efficiently capture accurate data in remote locations and instantly sync updates. This near real-time feedback loop allows for rapid, data-driven decisions in the fight against invasive species.\r\n\r\nWe\u2019ll explore ZIP\u2019s field workflows, discuss the advantages of using open-source tools in conservation, and highlight how QFieldCloud\u2019s collaboration capabilities are central to ZIP\u2019s success in combining innovative thinking with boots-on-the-ground action.\r\n\r\nJoin us to learn how geospatial open source software is helping protect biodiversity\u2014one synced observation at a time.", "recording_license": "", "do_not_record": false, "persons": [{"code": "MA9JEW", "name": "Nicholas Braaksma", "avatar": "https://talks.staging.osgeo.org/media/avatars/Kakapo_Bradley_NtrtcfS.jpg", "biography": "Lead GIS and Data Analyst working for Zero Invasive Predators Ltd", "public_name": "Nicholas Braaksma", "guid": "03bbc580-8f4d-5588-aa0b-de36e9d07f75", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/MA9JEW/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9YJZE3/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9YJZE3/", "attachments": []}, {"guid": "0385069c-6e81-5421-9b12-9ef3d597222c", "code": "973KES", "id": 4454, "logo": null, "date": "2025-11-20T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4454-open-source-software-in-turbulent-times", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/973KES/", "title": "Open source software in turbulent times", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "AI systems writing code, international tensions, trade wars and real wars. What challenges do we face, and what opportunities do we have as free and open source communities?", "description": "A talk about the challenges and opportunities Free and Open Source Software communities and related businesses face.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BZBDEX", "name": "Jeroen Ticheler", "avatar": "https://talks.staging.osgeo.org/media/avatars/da1c26c299d7412be435dbe2e0a20616_E6dTxPM.jpg", "biography": "As director and owner of GeoCat, founder of GeoNetwork and board member of OSGeo, I\u2019m obsessed with helping organizing data using free and open source software in a sustainable way. \r\nI started my career at the United Nations supporting Early Warning Systems with satellite imagery and quickly moved to also support the management of geospatial data. Now, 25 years onwards, the software we develop runs at over 85% of national geoportal end points in Europe and is in use at all levels in governments around the world.", "public_name": "Jeroen Ticheler", "guid": "0a92428e-c543-5ff1-a4bc-14ebad12f694", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BZBDEX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/973KES/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/973KES/", "attachments": []}, {"guid": "51cbabdf-31d1-55b6-ae7f-321066245d75", "code": "CH9FK9", "id": 3770, "logo": null, "date": "2025-11-20T15:30:00+13:00", "start": "15:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-3770-getting-sentinel-data-within-seconds", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CH9FK9/", "title": "Getting Sentinel Data within seconds", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Explore how to quickly access and analyze Sentinel satellite data using STAC APIs and the Microsoft Planetary Computer. In this talk, we\u2019ll demonstrate how Python makes it easy to fetch imagery and calculate vegetation indices in just minutes.", "description": "Satellite imagery is more accessible than ever\u2014but getting the data you need quickly and efficiently can still be a challenge. In this talk, we\u2019ll explore how STAC (SpatioTemporal Asset Catalog) and the Microsoft Planetary Computer simplify the process of accessing and analyzing Sentinel imagery at scale.\r\n\r\nYou\u2019ll learn how to use Python and modern geospatial libraries like `pystac-client`, `odc-stac`, and `xarray` to query, filter, and load Sentinel-2 and Sentinel-1 imagery\u2014no downloading or unzipping required. We\u2019ll demonstrate how to filter scenes by date, cloud cover, and region of interest, and then quickly calculate vegetation indices such as NDVI, EVI, and RVI for environmental or agricultural analysis.\r\n\r\nWe\u2019ll cover:\r\n\r\nWhat STAC is and why it matters\r\n\r\nHow the Microsoft Planetary Computer provides cloud-hosted, analysis-ready data\r\n\r\nHow to build fast, scriptable analysis pipelines using Python\r\n\r\nBy the end of this session, attendees will understand how to go from a geographic query to insightful raster analysis in just a few lines of code\u2014making remote sensing workflows faster, reproducible, and scalable.\r\n\r\nPerfect for data scientists, remote sensing professionals, and developers looking to cut through the complexity of traditional satellite data access.", "recording_license": "", "do_not_record": false, "persons": [{"code": "J7Z7F8", "name": "krishna lodha", "avatar": "https://talks.staging.osgeo.org/media/avatars/me_nr4yySK.jpg", "biography": "Krishna Lodha is the founder and director of [Rotten Grapes Private Limited](https://rottengrapes.tech/), a software development company specializing in open-source GIS solutions. With a strong background in geospatial technologies and a passion for FOSS, Krishna has led the development of several impactful Web GIS applications for clients across forestry, agriculture, water management, and urban planning sectors. Under his leadership, the company has successfully deployed solutions that leverage platforms like GeoServer, OpenLayers, and QGIS, helping government and private organizations optimize their spatial data workflows.\r\n\r\nKrishna is also a content creator who shares knowledge through [YouTube tutorials](https://www.youtube.com/@krishnaglodha) and [technical blogs](https://medium.com/rotten-grapes) focused on open-source GIS development. His work emphasizes practical, scalable solutions using open standards and tools, aiming to make geospatial technology more accessible to developers and analysts alike.\r\n\r\nAn advocate for community-driven innovation, Krishna regularly mentors students and professionals interested in building careers in geospatial software. He actively participates in open-source projects and contributes to the broader FOSS4G ecosystem.", "public_name": "krishna lodha", "guid": "31289962-4743-536d-bb09-b711c119b4c5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/J7Z7F8/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CH9FK9/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CH9FK9/", "attachments": []}, {"guid": "ad87cefb-b8bf-5a72-b549-13897baa8913", "code": "BKGYKQ", "id": 4456, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/BKGYKQ/Screenshot_2025-09-03_at_15.24.31_yke08og.png", "date": "2025-11-20T16:00:00+13:00", "start": "16:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4456-a5-rethinking-spatial-indexing", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BKGYKQ/", "title": "A5: Rethinking Spatial Indexing", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "Meet [A5](https://a5geo.org), a new pentagonal geospatial indexing system with truly equal area cells offering millimeter precision. Discover why pentagons solve fundamental limitations of existing hexagonal systems like H3, and explore real-world applications from urban planning to environmental monitoring.", "description": "For millennia, humans have been fascinated by tiling patterns, but when it comes to partitioning our planet, we've been limited by the assumption that regular polygons are the only option. A5 challenges this assumption and introduces a paradigm shift in spatial indexing through pentagonal cells that offer truly equal areas and superior accuracy.\r\n\r\n### The Problem with Current Systems\r\n\r\nH3, developed by Uber and now the leading spatial indexing system used across industry, has revolutionized geospatial analysis with its hexagonal approach. However, even H3 faces fundamental mathematical limitations that create real-world challenges for spatial analysis.\r\n\r\nThe most significant issue is cell area variation: H3 cells vary by a factor of nearly 2 across the globe, with the largest hexagons being around 2 times larger than the smallest ones. This variation introduces systematic bias in spatial analysis - identical densities appear different depending on location, and statistical comparisons across regions become unreliable.\r\n\r\nAnother limitation is that H3's finest resolution offers cells around 1 square meter. As a result, the cells cannot be used to index positions with high accuracy.\r\n\r\n\r\n### The A5 Solution: Embracing Pentagons\r\n\r\nA5 takes a radically different approach by embracing pentagons from the start - marking the first time pentagons have been used as the primary building block for a Discrete Global Grid System.\r\n\r\nThe system partitions the world into pentagonal cells across 32 different resolution levels, from 12 cells covering the entire world down to cells smaller than 30mm\u00b2. This extraordinary precision is encoded as a 64-bit integer, making A5 computationally efficient while maintaining millimeter-level accuracy - orders of magnitude finer than H3's smallest cells.\r\n\r\n\r\n### Key Advantages Over Alternative Systems\r\n\r\n- **Uniform Cell Sizes**: Unlike H3 and other DGGSs, A5 provides completely equal area cells within each resolution level - 0% error thanks to a novel polyhedral projection based on the Snyder projection. This eliminates bias in spatial analysis and ensures perfect statistical validity across all geographic regions.\r\n\r\n- **Minimal Distortion**: A5's geometric construction based on a dodecahedron - the platonic solid with the lowest vertex curvature - results in minimal distortion when projecting onto the sphere\r\n\r\n- **High Resolution**: With cells as small as 30mm\u00b2 at the finest resolution level, A5 enables applications requiring extreme precision, from precision agriculture to infrastructure monitoring.\r\n\r\n- **No Special Cases**: Every A5 cell is a pentagon, eliminating the complex special case handling required by systems with mixed polygon types.", "recording_license": "", "do_not_record": false, "persons": [{"code": "QEWFVN", "name": "Felix Palmer", "avatar": "https://talks.staging.osgeo.org/media/avatars/T08SE2FMZLP-U08SE2FNE0P-9f7bbe65c4f7-512_uLCdC4B.jpg", "biography": "Master in Physics by the University of Oxford. Primary maintainer of [deck.gl](https://deck.gl), the leading open-source framework for high-performance web geospatial visualization. Creator of [A5](https://a5geo.org), an innovative pentagonal spatial indexing system with truly equal area cells that offers superior accuracy and lower distortion than traditional hexagonal approaches.", "public_name": "Felix Palmer", "guid": "3f4b2ac6-357e-5b9a-ac02-90b8959fe22a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/QEWFVN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BKGYKQ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BKGYKQ/", "attachments": []}, {"guid": "846905b9-4f8f-5513-a077-9b9c553b0736", "code": "MRPVGL", "id": 4234, "logo": null, "date": "2025-11-20T16:30:00+13:00", "start": "16:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4234-accelerating-geotiff-readers-with-rust", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MRPVGL/", "title": "Accelerating GeoTIFF readers with Rust", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "Reading a Cloud-optimized GeoTIFF involves several steps, from fetching compressed bytes over a network/disk, decompressing those bytes, to finally parsing of TIFF tag metadata. Can we speed up the decoding using asynchronous methods, or even GPU-accelerated libraries? Let's see how we can program this in Rust!", "description": "How can we compose together a modern library to decode Cloud-optimized GeoTIFFs (COGs) efficiently? By using a programming language called Rust, with bindings to Python, WebAssembly and more, our goal is to enable applications that demand high-performance reads, such as web-based COG tilers or machine learning workflows leveraging Graphical Processing Units (GPUs). For CPU workflows, we delegate the network/disk transfer handling to the [`object_store`](https://crates.io/crates/object_store) crate, use various Rust-based algorithms for decompressing raw bytes, and let the [`async-tiff`](https://crates.io/crates/async-tiff) crate do the actual TIFF tag metadata and pixel data parsing. For GPU workflows, we swap the decompression library for [`nvCOMP`](https://developer.nvidia.com/nvcomp), and do the TIFF parsing using [`nvTIFF`](https://developer.nvidia.com/nvtiff), with the resulting pixel data decoded directly into CUDA device memory. Come and see how these asynchronous and GPU-accelerated GeoTIFF readers compare against GDAL's [`libertiff`](https://gdal.org/en/release-3.11/drivers/raster/libertiff.html) driver, and find out how we're making these performant low-level Rust-based readers more accessible by integrating with the [xarray](https://xarray.dev) ecosystem and beyond!", "recording_license": "", "do_not_record": false, "persons": [{"code": "RTEKLC", "name": "Wei Ji Leong", "avatar": "https://talks.staging.osgeo.org/media/avatars/weiji_headshot_FXeqjOc.jpg", "biography": "Geospatial Data Scientist/[Machine Learning Engineer](https://developmentseed.org/team/weiji-leong) at [Development Seed](https://developmentseed.org), developing tools for cloud-native geospatial machine learning! Open source developer for Python libraries like [PyGMT](https://www.pygmt.org), maintainer of [pangeo-docker-images](https://github.com/pangeo-data/pangeo-docker-images) and conda-forge packages, and working on speeding up GeoTIFF parsing to GPUs via Rust crates like [cog3pio](https://crates.io/crates/cog3pio). Check out my profile on [GitHub](https://github.com/weiji14).", "public_name": "Wei Ji Leong", "guid": "d3ac2213-6327-5d4e-9fc7-92a4a9eb05a1", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/RTEKLC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MRPVGL/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MRPVGL/", "attachments": []}], "WG126": [{"guid": "799be19a-f443-5ed3-9361-7bcb12da6991", "code": "MKP7QY", "id": 3801, "logo": null, "date": "2025-11-20T09:00:00+13:00", "start": "09:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-3801-bathymetry-data-wrangling", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MKP7QY/", "title": "Bathymetry Data Wrangling", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "This talk discusses workflows implemented in Python for processing bathymetry data for hydrodynamic modelling applications.", "description": "While all of Earth\u2019s land surfaces have been mapped at 30 m resolution or finer, the topography of the seabed is still largely a black box, with only 26.1% of the seabed mapped to \u201cadequate resolution\u201d  thus far. In practice, this means that compiling a gridded bathymetric dataset often requires \u201cfilling in\u201d areas of missing data, \u201csmoothing\u201d conflicts between overlapping datasets, and \u201cblending\u201d information from multiple sources. This talk discusses several strategies for fusing and interpolating datasets such as coastal lidar, high resolution multibeam echosounder data, chart depths, and the globally available GEBCO grid in real world application. The \u201cfuzzy\u201d boundary between land and sea is emphasized, as terrestrial and marine datasets often disagree when their coverage overlaps. Interpolation and smoothing methods are explored as well. The techniques discussed are implemented in Python using geospatial libraries and thus open source, easily scaled, and reproducible.", "recording_license": "", "do_not_record": false, "persons": [{"code": "ZHVKHU", "name": "Ellorine Carle", "avatar": null, "biography": "I am a geospatial specialist at Metservice, New Zealand's national weather forecasting agency, where I work across teams to produce and maintain various geographic datasets used in operational forecast models, consultancy projects, and research.", "public_name": "Ellorine Carle", "guid": "42cf004e-3be2-5ea8-a32d-9ecfe3248e10", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ZHVKHU/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MKP7QY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MKP7QY/", "attachments": []}, {"guid": "b9053e5c-0e6d-5425-8df5-34a617196eba", "code": "RCZXKS", "id": 4255, "logo": null, "date": "2025-11-20T09:30:00+13:00", "start": "09:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4255-chef-s-kiss-webmaps-with-svelte-maplibre-pmtiles", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RCZXKS/", "title": "\"Chef's Kiss\" Webmaps with Svelte, MapLibre & PMTiles", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "An elegant, functional and well-built webmap is a true work of art. With our friends Svelte, MapLibre & PMTiles, you can make your dream map come true.", "description": "Since the dawn of interactive webmaps in the mid-1990s, map developers have cycled through many generations of technologies. From the early days of vanilla JS with native DOM and server-side tile rendering, to the modern days of Virtual DOM-based frameworks with WebGL and vector tiles, each generation of technology has utilized the cutting-edge to build the best possible map applications.\r\n\r\nJust like the evolution from candles to gas lamps to electric bulbs, each iteration of map technology has brought an overall improvement in functionality while it matures and stabilizes over time. And while the current paradigm of React + ${Map Library} works pretty well, what if we could do it better?\r\n\r\nIn pursuit of elegant, highly functional, \u201cchef\u2019s kiss\u201d interactive web maps, this talk presents a pattern of building applications with vanilla MapLibre, Svelte, and PMTiles, and compares the approach to the ways of old. Using the interactive Auckland map integrated into the FOSS4G conference website as an example, it gives heaps of practical advice for developers new and old.", "recording_license": "", "do_not_record": true, "persons": [{"code": "HVGTQC", "name": "Rami DV", "avatar": "https://talks.staging.osgeo.org/media/avatars/2f5fceee0d58d3bb7a0a4f8277e322a4_fshGUHy.jpg", "biography": null, "public_name": "Rami DV", "guid": "4b327ae1-0c0d-5ab7-a65b-873fdf815baf", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/HVGTQC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RCZXKS/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RCZXKS/", "attachments": []}, {"guid": "46df71af-9bd7-5a67-9920-2acfd255f86e", "code": "KUPAWC", "id": 4359, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/KUPAWC/joss_abstract_h176hdW.png", "date": "2025-11-20T10:00:00+13:00", "start": "10:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4359-eo-tides-open-source-tide-modelling-tools-for-large-scale-satellite-earth-observation-analysis", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KUPAWC/", "title": "eo-tides: Open-source tide modelling tools for large-scale satellite Earth observation analysis", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "`eo-tides` provides powerful open-source tools for combining satellite Earth observation data with tide modelling. These tools can be applied to petabytes of freely available satellite data, providing a suite of flexible tools for efficient monitoring and mapping of coastal and ocean environments \u2013 from regional, continental, to global scale.", "description": "Freely available Earth observation (EO) satellite data is a powerful resource for mapping and monitoring dynamic coastal environments over time and across large areas. However, the influence of ocean tides means satellite data is often acquired at vastly different tidal stages. This can make it difficult to distinguish true patterns of coastal change from short-term tidal variability, leading to inaccurate or misleading insights into coastal processes. To address this challenge, there is a pressing need for scalable open source tools that can account for tidal variability and make tides an explicit part of coastal EO analysis.\r\n\r\nThe new Geoscience Australia `eo-tides` package (https://github.com/GeoscienceAustralia/eo-tides) offers powerful open-source tools for integrating satellite EO data with ocean tide modelling. It provides a flexible Python toolkit for attributing modelled tide heights to satellite data time series, based on each satellite image's spatial extent and acquisition time. eo-tides builds on advanced tide prediction capability from the open-source `pyTMD` library, combining this with spatial analysis tools from the Open Data Cube (ODC)'s `odc-geo`. This enables efficient, parallelised modelling using over 50 supported tidal models, with outputs returned in standardised pandas and xarray formats for further analysis.\r\n\r\n`eo-tides` can be applied to petabytes of freely available satellite data accessed via the cloud using ODC\u2019s `odc-stac` or `datacube` packages (e.g. using Digital Earth Australia or Microsoft\u2019s Planetary Computer). Additional functionality supports validation with external tide gauge data and the assessment of potential satellite-tide biases - critical considerations for ensuring the reliability and accuracy of coastal EO workflows. These open-source tools support the efficient, scalable and robust analysis of coastal EO data for any time period or location globally.", "recording_license": "", "do_not_record": false, "persons": [{"code": "NYGGGH", "name": "Robbi Bishop-Taylor", "avatar": "https://talks.staging.osgeo.org/media/avatars/Robbi_Bishop-Taylor_JThQXYi.png", "biography": "Dr Robbi Bishop-Taylor is a Coastal Earth Observation Scientist from Geoscience Australia's Digital Earth Australia Program. Robbi works as part of an interdisciplinary team responsible for developing the first 3D elevation models of Australia\u2019s vast intertidal zone, and the Digital Earth Australia and Digital Earth Africa Coastlines satellite data products that map coastal change across the entire Australian and African coastlines.", "public_name": "Robbi Bishop-Taylor", "guid": "1bae6602-be58-5709-a8ca-16d1b53341d3", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NYGGGH/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KUPAWC/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KUPAWC/", "attachments": []}, {"guid": "cdf3c753-6e49-51fd-af38-e59d963153f3", "code": "RE8VMR", "id": 4220, "logo": null, "date": "2025-11-20T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4220-exploring-urban-form-in-new-zealand", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RE8VMR/", "title": "Exploring urban form in New Zealand", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "We interact with urban form everyday. It dictates where and how we live, move, build and interact with people and services in our cities. This talk will introduce the exciting world of urban morphometrics - measurements of urban form and their implications on urban evolution, function and performance.", "description": "This talk will showcase how open data from OpenStreetMap and other resources combined with open source tools from Python and R can help us build a deep understanding of our urban environment. The talk will be linked to a Github repo with reproducible code (and environment) for any interested enthusiast who wants to delve deeper into this topic.", "recording_license": "", "do_not_record": false, "persons": [{"code": "FYCWME", "name": "Shrividya Ravi", "avatar": "https://talks.staging.osgeo.org/media/avatars/avatar_hu62c1aab5e779fe12fabe051da67fee6a_8691_270x270_fill_q75_lanczos_center_ANHsOLk.jpg", "biography": "I am a data scientist working to push the analytics capabilities of public sector work in transport. My current work at the Ministry of Transport involves new modelling paradigms for transport policy, comprehensive re-design of legacy workflows to reproducible analytical pipelines (RAP) and building towards agile and collaborative ways of working for public sector analysts. I'm a passionate advocate for open source and open data in government. I also love using open source tools for exploring my interests in rainforests, cities and urban development.", "public_name": "Shrividya Ravi", "guid": "8390c553-d879-51bd-b813-4fa5c73780b4", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/FYCWME/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RE8VMR/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RE8VMR/", "attachments": []}, {"guid": "46ab1b2a-6ac7-5be9-9b13-c782493c018d", "code": "TK8K3B", "id": 4192, "logo": null, "date": "2025-11-20T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4192-vector-tile-deployment-with-the-united-nations-vector-tile-toolkit-unvt", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TK8K3B/", "title": "Vector Tile Deployment with the United Nations Vector Tile Toolkit (UNVT)", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "The United Nations Vector Tile Toolkit (UNVT) is a collection of Open Source Software (OSS) to produce, host, style and optimize vector tiles. This session introduces how the UN uses this technology in web mapping.", "description": "Vector tile technology is becoming more popular due to its various advantages. Vector tiles are smaller in size, allow for dynamic styling without regenerating the tiles, and improve performance for end users. These features make vector tiles useful for base maps in the United Nations.\r\n\r\nThe United Nations Vector Tile Toolkit (UNVT) was established in 2018 under the UN Open GIS Initiative, and has provided various tools to support the use of vector tiles. UNVT has grown with the help of many contributors, including the UN Smart Maps Group, which works under the initiative to develop a wide range of features. In the United Nations, UNVT plays a key role in three main processes: Produce, Style, and Host. The following is an overview of each process.\r\n\r\nProduce:\r\nVector tiles are generated by extracting geospatial data from a PostGIS database and converting it using Node.js scripts and Tippecanoe. By selectively removing unnecessary attributes and simplifying geometries, we reduce data size, leading to faster rendering and improved performance for web users. In addition, we update our priority areas daily and run the scripts as a scheduled task to minimize manual effort.\r\n\r\nStyle:\r\nunvt/charites is an easy-to-use, intuitive, and efficient command-line tool for managing vector map styles. With Charites, a long style JSON file can be split into multiple smaller YAML files\u2014one per layer\u2014making it much easier to edit styles. It also provides a convenient live style viewer in a local browser, where changes are reflected immediately.\r\n\r\nHost:\r\nWe have developed a simple Node.js-based vector tile hosting server that delivers PBF files derived from MBTiles in response to each request. The map is rendered using MapLibre GL JS. Additionally, we have created an interface for ArcGIS Online to enable the map to be displayed within the UN system.\r\n\r\nThis session will showcase practical use cases, technical implementation details, and lessons learned through the adoption of vector tile technology in the UN context. It will be relevant to GIS professionals, developers, and organizations looking to modernize their web mapping infrastructure using open source tools.\r\n\r\nOur toolkit is available on our GitHub account:\r\nhttps://github.com/unvt", "recording_license": "", "do_not_record": false, "persons": [{"code": "TDGGK7", "name": "KOJI OSUMI", "avatar": "https://talks.staging.osgeo.org/media/avatars/Koji_Osumipic_zaF9kpO.png", "biography": "Senior Geospatial Expert at the United Nations with over 10 years of experience in Geographic Information Systems (GIS) and web mapping technologies. Member of the UN Smart Maps Group under the UN Open GIS Initiative, contributing to the development of open-source tools that support UN operations globally.", "public_name": "KOJI OSUMI", "guid": "7b117461-041a-557e-88d9-26e362ad88a4", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/TDGGK7/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TK8K3B/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TK8K3B/", "attachments": []}, {"guid": "37ba67fe-18cf-5f3f-ad3e-caae6f7ebeb8", "code": "MEHRQF", "id": 4505, "logo": null, "date": "2025-11-20T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4505-state-of-grass", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MEHRQF/", "title": "State of GRASS", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "GRASS is an open source geoprocessing engine for efficient spatio-temporal data management, analysis, and modeling. The software comes with C / Python / R API, command line and graphical user interfaces.\r\n\r\nIn this talk we will give a comprehensive overview of the latest GRASS developments and upcoming new features.", "description": "Join us for a lively overview of the current state of the GRASS project, where community meets cutting-edge geospatial technology. Whether you're a longtime power user or a newcomer curious about GRASS, this talk will highlight the major strides the project has made in the past year \u2013 from revitalized governance and community growth to technical breakthroughs \u2013 and offer a glimpse into what's next.\r\n\r\nDuring the talk, we will address how GRASS has strengthened its governance and support structure by bringing in new members to bolster sustainable leadership and new fiscal sponsorship with NumFOCUS. We will also review GRASS community-building initiatives, such as the NSF-backed efforts that allowed GRASS to establish a mentoring program for new contributors, support our Student Grant program, and hold the GRASS Developer Summit 2025 in Raleigh, NC. We will highlight this past summer's Google Summer of Code project, which demonstrates how community mentoring feeds innovation.\r\n\r\nThe talk will also address GRASS's new logo and branding initiative over the past year, aiming to give the project a modern look while keeping its iconic elements. Notably, \"GRASS GIS\" is now officially just GRASS \u2013 a simpler name that the community has used colloquially for years. To celebrate, the team launched an online swag shop with GRASS-themed apparel, stickers, and more. We will also look at recent strides in community outreach and learning resources, such as a new tutorial website and the modernization of GRASS's documentation platform.\r\n\r\nOn the development side, we will show off what the GRASS development team has been hard at work delivering in terms of new features, improved performance, and better integration as part of GRASS 8.5. Under the hood, the team made significant code quality and security improvements, fixing issues flagged by automated linters and code scanners. These efforts pave the way for stricter continuous integration checks and a more robust codebase. The build system is also being modernized: GRASS is transitioning to CMake for easier compilation and maintenance, and an official Conda package is on the way, simplifying installation for Python/R data scientists and lowering entry barriers.\r\n\r\nAs we celebrate these achievements, we're also looking ahead. The GRASS roadmap outlines ambitious goals for the next few years. We plan to maintain annual releases (GRASS 8.6 is already on the horizon for 2026) and continue improving distribution and integration \u2013 think one-click installs via Conda, tighter bridges to QGIS and R, and refined Python and R APIs for smooth scripting. Sustainability remains a core focus: the project actively pursues new grants, sponsors, and community donations to ensure long-term development while spreading infrastructure knowledge and lowering maintenance overhead to avoid burnout.\r\n\r\nIn short, the state of GRASS is strong and dynamic. This talk will offer an informative yet exciting tour of the project's recent milestones across community and technology. We invite everyone \u2013 from newbies to veteran developers \u2013 to see how far GRASS has come and to get inspired about where it's heading. Learn about the latest capabilities, meet the people behind the project, and discover how you can be part of the next chapter of GRASS!", "recording_license": "", "do_not_record": false, "persons": [{"code": "SQ7UJS", "name": "Luca Delucchi", "avatar": "https://talks.staging.osgeo.org/media/avatars/luca_delucchi_color_eysAF5p.jpeg", "biography": "Luca is an *OSGeo and OSM contributor and advocate*. He graduated in Geography applied to the environment, landscape and tourism from University of Genoa (Italy) in 2008. Since the same year he work at Fondazione Edmund Mach, a research center near Trento. \r\n\r\nHe is interested in all features about GIS: desktop, web, geodatabase, developing and geodata. Right now he is working on a multiplatform server and client application to monitor agricultural fields named **DigiAgriApp**. He contribute to GRASS GIS, OSGeoLive, QGIS, and ZOO-Project projects, he is also the main developer of pyModis library.\r\n\r\nHe is active in the Italian community, GFOSS.it and he was the chair of the successful FOSS4G 2022 held in Florence", "public_name": "Luca Delucchi", "guid": "4927032e-e770-5a11-88b6-a3efdeefbbdd", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/SQ7UJS/"}, {"code": "RBWLUU", "name": "Veronica Andreo", "avatar": "https://talks.staging.osgeo.org/media/avatars/vero_grass_bg_spKCwa8.png", "biography": "Biologist with a PhD in Biological Sciences and an MSc in Remote Sensing applications. Researcher at CONICET\u2013Gulich Institute (CONAE), Argentina, studying environmental drivers of vector-borne diseases. GRASS Development Team member and PSC chair since 2021.", "public_name": "Veronica Andreo", "guid": "75d36e4f-9d02-5d13-8a21-17c05b20c1fe", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/RBWLUU/"}, {"code": "JB8MU3", "name": "Markus Neteler", "avatar": "https://talks.staging.osgeo.org/media/avatars/mn_satbild_mundialis_JoHempel_201709_KwHXM6h.jpg", "biography": "Dr. Markus Neteler is co-founder of mundialis GmbH & Co KG in Bonn (<https://www.mundialis.de/>). His main areas of interest are remote sensing, analysis of large geodata and free software GIS development. He has been Release Manager of [GRASS GIS](https://grass.osgeo.org/) since 1997 and is a founding member of [FOSSGIS e.V.](https://www.fossgis.de/), the Italian [GFOSS Association](https://gfoss.it/associazione) and the Open Source Geospatial Foundation ([OSGeo.org](http://OSGeo.org), USA). In September 2006, he was honored with the international Sol Katz Award for Geospatial Free and Open Source Software (GFOSS) and in 2022 with the Life Achievement Award 2022 of the OpenGeoHub Foundation.", "public_name": "Markus Neteler", "guid": "185935b0-c1f7-5d97-9d1a-527d1aec8cc6", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/JB8MU3/"}, {"code": "EYZCPK", "name": "Alen Mangafi\u0107", "avatar": "https://talks.staging.osgeo.org/media/avatars/PXL_20240616_153027138.PORTRAIT_eQCJzSg.jpg", "biography": "I work at the Geodetic Institute of Slovenia in Ljubljana, contributing to various projects as a Data Scientist, Remote Sensing Analyst, GIS Coordinator, and Specialist. My work primarily revolves around the analysis of multispectral, hyperspectral, and SAR imagery, as well as LiDAR point clouds - but I enjoy tackling data problems of all kinds. I rely heavily on Python, GRASS, GDAL, PDAL, QGIS and PostgreSQL for data torturing and distribution. I love Linux. I currently serve as the secretary of the Slovenian OSGeo Local Chapter.", "public_name": "Alen Mangafi\u0107", "guid": "801d0e78-9b96-58a0-bafc-d97dff4ac4af", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/EYZCPK/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MEHRQF/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MEHRQF/", "attachments": []}, {"guid": "885811a3-1b8f-5d58-a6a9-e070849f9bf6", "code": "DUSEKB", "id": 4276, "logo": null, "date": "2025-11-20T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4276-developing-a-user-oriented-data-cube-for-biodiversity-and-carbon-dynamics-assessment-in-estonia-with-remote-sensing-data", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DUSEKB/", "title": "Developing a user-oriented data cube for biodiversity and carbon dynamics assessment in Estonia with remote sensing data", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "This presentation covers the development of a national data cube for Estonia, integrating remote sensing data and using open-source tools. It provides analysis-ready data for biodiversity and carbon research, overcoming technical hurdles. User-friendly tools and cloud computing enhance data access, empowering informed decision-making for sustainable development.", "description": "Introduction\r\nAddressing global environmental challenges like land use and climate change requires timely, accurate information. Earth Observation (EO) data, from satellites and UAVs, is essential for monitoring these dynamics. Thanks to open data policies and advancements in software and cloud computing, EO data enhances environmental management and policy assessment, contributing to sustainable development. However, there are technical challenges, including data storage and analysis, and the need for computational architectures that handle large datasets.\r\nTraditional data cubes often lack the readiness needed for advanced AI and machine learning techniques, which require structured, rich datasets. User-friendly platforms with intuitive access and customizable tools are crucial for researchers and policymakers.\r\nOur project aims to create a comprehensive data cube for Estonia, utilizing remote sensing and geospatial data and open-source tools to advance biodiversity and carbon dynamics research. The fusion of LiDAR, radar, and passive remote sensing offers untapped potential for modeling, and multi-temporal datasets can predict vegetation and environmental variables effectively.\r\n\r\nData and Methods\r\nWe incorporated data from Sentinel-1, Sentinel-2, Landsat, and high-resolution airborne LiDAR. We used Google Earth Engine and Python for data pre-processing. Additionally, digital elevation models and the Estonian soil map were used to prepare the data cube layers. The study area was divided into manageable tiles using a spatial grid, creating 10m resolution Cloud Optimized GeoTIFFs (COGs) to facilitate efficient processing and downloading.\r\n\r\nLiDAR data allowed us to calculate biodiversity-relevant indices, including ecosystem height, cover, and structural complexity. These were processed with tools like PDAL and laspy for precise classification and filtering.\r\n\r\nThe data cube runs on a high-performance cloud platform, using S3 storage for COGs and libraries such as rasterio to gather metadata. This metadata is integrated into a STAC-compatible web service, enabling seamless access through platforms like QGIS and Python for efficient querying and processing.\r\n\r\nData Cube Access\r\nOur data cube portal (https://geokuup.ee/estonia) , developed with the Phoenix framework, utilizes MapLibre for data visualization. This setup supports quick visualizations and queries, organizing datasets into collections for user convenience. Users can create custom collections, tailoring data sets to specific research needs, which enhances the system\u2019s flexibility.\r\n\r\nBy adopting best practices in geospatial data management, we leveraged open-source tools like GeoServer and pygeoapi, along with the Pangeo ecosystem, to streamline processing. The Phoenix framework offers a robust and efficient solution for managing concurrent users, ensuring stability and performance.\r\n\r\nOutcomes and Future Work\r\nThe data cube provides high-resolution spatial data for academic and governmental purposes, with a strong focus on biodiversity and carbon research. It offers a scalable solution that can be extended to other research domains by incorporating additional data layers.\r\nFuture work will focus on processing data into multiple resolutions and expanding the range of datasets and workflows to enhance data retrieval and analysis. This will further support informed decision-making and sustainable development initiatives, empowering researchers and policymakers with timely environmental information.", "recording_license": "", "do_not_record": false, "persons": [{"code": "PQFYHP", "name": "Alexander Kmoch", "avatar": "https://talks.staging.osgeo.org/media/avatars/propic_Alexander_Kmoch_geog2_0fBoMB2.png", "biography": "Alex is an Associate Professor in Geoinformatics and a Distributed Spatial Systems Researcher with many years of experience in open-source geospatial data management and web- and cloud-based geoprocessing with a particular focus on land use, soils, hydrology, hydrogeology and water quality data. His interests include Discrete Global Grid Systems (DGGS), OGC standards and web-services for environmental and geo-scientific data sharing, modelling workflows and interactive geo-scientific visualisation.\r\n\r\nAlex completed a Marie Sk\u0142odowska-Curie Individual Fellow (MSCA) with our Landscape Geoinformatics working group on improving standardised data preparation, parameterization and parallelisation for hydrological and water quality modelling across scales and has now started a 5-year project on spatial modelling of soil properties using machine-learning.", "public_name": "Alexander Kmoch", "guid": "f982ce9d-e4ac-586d-ba7f-3c01bf216bb5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PQFYHP/"}, {"code": "NZESJL", "name": "Evelyn Uuemaa", "avatar": "https://talks.staging.osgeo.org/media/avatars/evelyn_uuemaa_portree2_yxB6Xhu.jpg", "biography": "I'm a geospatial scientist specialising in big geospatial data management, data quality, and environmental modelling. Over the last five years, my research has focused on machine learning-driven predictive spatial modelling. I'm passionate about open-source tools and open data, and an avid participant in the 30DayMapChallenge. I serve as a Professor in Geoinformatics and lead the Landscape Geoinformatics Lab at the University of Tartu.", "public_name": "Evelyn Uuemaa", "guid": "d5365818-9840-52bb-ade1-60f4e76049a3", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NZESJL/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DUSEKB/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DUSEKB/", "attachments": []}, {"guid": "7e8a2628-b1ee-5ac4-963a-e98ca1250580", "code": "S9EJGF", "id": 4283, "logo": null, "date": "2025-11-20T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4283-from-collaboration-to-action-unlocking-ocean-information-through-pacific-ocean-portal-2-0", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/S9EJGF/", "title": "From Collaboration to Action: Unlocking Ocean Information Through Pacific Ocean Portal 2.0", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Pacific Ocean Portal 2.0 is a robust, open-source platform empowering Pacific nations with seamless ocean data access, advanced GIS management, visualization, and sector-specific tools. It supports collaboration, real-time monitoring, and expert resources, strengthening ocean services and climate resilience through unified, actionable information for regional stakeholders.", "description": "The Pacific Ocean Portal 2.0 is a transformative platform advancing ocean science in the Pacific region by serving as a centralized hub for the dissemination and visualization of oceanographic information. Designed to empower National Meteorological and Hydrological Services (NMHSs) and support key sectors such as tourism, fisheries, ocean monitoring, sea level, and coral reef management, the portal provides seamless access to a comprehensive suite of datasets, including forecasts, near real-time and historical data, and in situ observations.\r\n\r\nAt its core, the portal is powered by a robust GIS data management system, ensuring high-quality geospatial data handling and integration for visualization and analysis. Built with a modular, open-source architecture\u2014including THREDDS, GeoServer, FastAPI, and a Next.js frontend\u2014the portal enables developers to create country-specific products and tools that meet unique national needs. New functionalities include timeseries extraction from NetCDF files, on-the-fly map generation, near real-time in situ monitoring, a resource library, and a directory of regional ocean experts. Controlled access to restricted datasets, such as high-resolution wave and inundation forecasts, is also supported for designated countries.\r\n\r\nBy fostering interoperability with platforms like PACIOOS and reducing dashboard fragmentation, the portal transforms collaborative ocean data efforts into actionable insights and services. Through unified access to information, expert resources, and advanced GIS capabilities, Pacific Ocean Portal 2.0 empowers communities, strengthens regional scientific capacity, and supports sustainable development and climate resilience across the Pacific.", "recording_license": "", "do_not_record": false, "persons": [{"code": "FJ87AE", "name": "Divesh Anuj", "avatar": "https://talks.staging.osgeo.org/media/avatars/Anuj_x1gJrXc.jpg", "biography": "Senior Systems Developer at Pacific Community based in Suva, Fiji.", "public_name": "Divesh Anuj", "guid": "5152d664-340d-5e80-8cc8-7b48189b8100", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/FJ87AE/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/S9EJGF/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/S9EJGF/", "attachments": []}, {"guid": "2b6a90e4-a38e-5757-83b3-9908f2a60046", "code": "Q8C3FK", "id": 4233, "logo": null, "date": "2025-11-20T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4233-how-to-draw-urban-traffic-data-from-trip-lines-to-od-matrices-visualization-techniques-for-traffic-simulation", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Q8C3FK/", "title": "\u201cHow to Draw, Urban Traffic Data?\u201d \u2014 From Trip Lines to OD Matrices: Visualization Techniques for Traffic Simulation", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "This project develops an open-source-based platform that visualizes urban traffic simulation data using various techniques and presents a way to intuitively understand complex movement patterns.", "description": "Urban traffic flow is becoming increasingly complex, and it is difficult to grasp its meaning with only numerical data. In particular, there is a need for technical approaches to visually interpret simulation data that includes temporal and spatial patterns.\r\n\r\nPurpose:\r\n- To provide an intuitive and visual way of understanding complex urban traffic simulation results by implementing various spatial visualization techniques using open-source tools.\r\n\r\nThis system utilizes spatial data based on GeoJSON and PostGIS to generate various visualization layers, such as vehicle movement trajectories (trip lines), OD matrices, heatmaps, and time-based density changes. Simulation results are visualized in 2D and 3D using OpenLayers and CesiumJS, respectively, and by expressing the same data differently in 2D/3D, interpretability and communication are enhanced.\r\n\r\nKey Features:\r\n- Trip line animations to trace vehicle movement\r\n- OD matrix visualization with directional flow arrows\r\n- Heatmap layers for density and congestion hotspots\r\n- Time-series based map layers with playback\r\n- Dual 2D/3D rendering and synchronized view interaction\r\n\r\nAs a result, users can explore simulation data over time, analyze congestion patterns in specific areas, and intuitively identify complex OD patterns. All components are designed based on a microservice architecture, allowing scalability and integration with various simulation engines.\r\n\r\nThis project focuses on implementing various visualization techniques using only open-source technologies and expressing complex traffic flows in a form that anyone can understand.\r\n\r\nOpen Source Technologies Used:\r\n- **CesiumJS** for 3D spatial visualization and animation\r\n- **OpenLayers** for 2D WebGL vector layer rendering\r\n- **PostGIS** for spatial data storage and analysis\r\n- **GeoJSON** as the primary transport and visualization data format\r\n\r\nThis work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (RS-2024-00459703, Development of next-generation AI integrated mobility simulation and prediction/application technologies for metropolitan cities)", "recording_license": "", "do_not_record": true, "persons": [{"code": "C8VYQW", "name": "Hansang Kim", "avatar": null, "biography": null, "public_name": "Hansang Kim", "guid": "cd9a3620-9888-5f6a-8fe6-17a814afc473", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/C8VYQW/"}, {"code": "8WZ7K3", "name": "Sungjo MIN", "avatar": null, "biography": null, "public_name": "Sungjo MIN", "guid": "057e5e9b-614b-53c6-bbf4-f39bf95e2ba8", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8WZ7K3/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Q8C3FK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Q8C3FK/", "attachments": [{"title": "Urban Traffic Data Visualization Overview", "url": "/media/foss4g-2025/submissions/Q8C3FK/resources/UrbanTrafficData_Visualization_Overview_nx3WE2N.pdf", "type": "related"}]}, {"guid": "a00e2565-e36a-5a4c-99cd-2c0cdeff0162", "code": "KFSC9R", "id": 4384, "logo": null, "date": "2025-11-20T15:30:00+13:00", "start": "15:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4384-staying-on-track-how-we-built-turn-by-turn-navigation-for-bus-drivers-with-foss-and-open-data", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KFSC9R/", "title": "Staying on Track: How we built turn-by-turn navigation for bus drivers with FOSS and Open Data", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Learn how AnyTrip built a turn-by-turn navigation and real-time tracking app for bus drivers using GTFS, OSM, Valhalla, OSRM, and other open-source tools - tailored for the unique needs of public transport and deployed in the real world on low-cost mobile devices.", "description": "Public transport operators have long struggled to provide bus drivers with accurate navigation. While commercial navigation systems are optimised for general motorists, they fail to take into account bus-specific requirements like bus stops and bus specific routing. Many operators continue to provide drivers with primitive paper navigation guidance which is hard to interpret whilst driving.\r\n\r\nAt AnyTrip, we've built a turn-by-turn navigation and real-time bus tracking app tailored specifically for bus operators and bus drivers. Powered using open data, open source tools and free & open source software, the solution integrates:\r\n\r\n\u2022 GTFS data from operators describing services, stops and pathing\r\n\u2022 OpenStreetMap as the base map and routing graph\r\n\u2022 Valhalla and OSRM for routing and maneuver generation\r\n\u2022 MapLibre Native and Protomaps for custom vector basemaps\r\n\u2022 React Native for cross-platform mobile development\r\n\r\nThis talk will cover the architecture and design of the app, including:\r\n\r\n\u2022 How we transform GTFS static schedule data into navigable paths\r\n\u2022 Choosing between Valhalla and OSRM for different routing needs\r\n\u2022 Handling tricky edge cases like loops, u-turns and busways\r\n\u2022 Deployment on consumer-grade mobile devices for low-cost and ease of deployment\r\n\u2022 Dealing with connectivity constraints and supporting offline use\r\n\r\nWe'll also share some lessons learned from real-world deployments.\r\n\r\nThis is a practical, field-tested example of how open source geospatial tools can be used to solve real world transport problems. If you\u2019re interested in GTFS, routing, or building geospatial apps for public good, this talk is for you.", "recording_license": "", "do_not_record": false, "persons": [{"code": "GJSPAM", "name": "Ken Tsang", "avatar": "https://talks.staging.osgeo.org/media/avatars/ken_h1tcBEH.jpg", "biography": "Ken Tsang is a self-confessed data and public transport nerd. He is the founder of AnyTrip, a Sydney-based company building geospatial and mobile app solutions for transport operators.", "public_name": "Ken Tsang", "guid": "d7bdb715-ba69-51f9-abc9-1f722b48a140", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GJSPAM/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KFSC9R/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KFSC9R/", "attachments": []}, {"guid": "27ff770c-66fd-57cd-acb1-5767088a8099", "code": "F3ZL7C", "id": 4405, "logo": null, "date": "2025-11-20T16:00:00+13:00", "start": "16:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4405-saving-lives-with-gis-engineering-our-open-source-mapping-stack", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/F3ZL7C/", "title": "Saving lives with GIS: engineering our open-source mapping stack", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Abley\u2019s open-source mapping stack powers high performance apps and APIs using PostGIS, GeoServer and MapLibre. The architecture underpins Abley\u2019s SafeSystem data platform and road safety applications. This presentation, aimed at spatial developers, explores the stack\u2019s architecture, discusses engineering challenges encountered and presents key learnings.", "description": "Abley\u2019s open-source mapping stack powers its SafeSystem suite of road safety applications and data APIs, helping US transportation agencies optimise investments and reduce deaths and serious injuries on their road networks. The suite delivers consistently fast performance and smooth user interaction, even under heavy data loads.\r\n\r\nThe architecture comprises a PostGIS database, GeoServer (serving cached vector tile operational layers and managing security), MBTileserver for contextual data layers, and Nginx as a reverse proxy. Core road safety applications use MapLibre GL JS, plus a standalone API Explorer app enables seamless integration with desktop GIS tools via open standards like WMS and WFS. Docker Compose orchestrates the stack, ensuring consistent environments and enabling robust and scalable deployments, and simplifying testing and debugging.\r\n\r\nTopics discussed in this presentation include pros/cons of alternative architectures considered, techniques for securing GeoServer within Docker, challenges and solutions when integrating secure services with desktop GIS and contributing back to open-source communities. The presentation also outlines a pragmatic, agile engineering approach that balances requirements, stability and system security while avoiding speculative over-engineering . Spatial developers will gain insights into performant spatial data hosting and discover practical guidance for getting started with GeoServer, as well as vector tiles and integrating with desktop GIS.", "recording_license": "", "do_not_record": false, "persons": [{"code": "LQ9KHP", "name": "Stacy Rendall", "avatar": "https://talks.staging.osgeo.org/media/avatars/Picture1_x3fT0n2.jpg", "biography": "Stacy is an Associate Software Engineer at Abley. He has a PhD in Mechanical Engineering, which started him on a path of spatial software development using JavaScript and Python to solve wickedly complex problems across a variety of domains.", "public_name": "Stacy Rendall", "guid": "a43c1aa8-1e45-5925-92c2-d9afc643e367", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LQ9KHP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/F3ZL7C/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/F3ZL7C/", "attachments": []}, {"guid": "7ae220bf-42d8-580d-b4d2-598c447b5087", "code": "YND7DA", "id": 4433, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/YND7DA/Session_image_W0EEs8r.png", "date": "2025-11-20T16:30:00+13:00", "start": "16:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4433-raster-processing-on-hpc-without-coding-sure", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/YND7DA/", "title": "Raster processing on HPC without coding? Sure!", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "In this presentation I demonstrate how to use the LUMASS visual modelling environment to develop high-performance parallel raster processing models without writing a single line of code. LUMASS models are scalable and run on laptops as well as distributed memory systems. https://manaakiwhenua.github.io/LUMASS", "description": "Wrangling large and/or many raster datasets on a laptop or small workstation is no fun! Unfortunately, parallelising models or workflows to run on distributed memory compute clusters requires more than entry level coding skills. In this presentation I introduce the parallel extension to LUMASS' high-level visual raster processing framework. It enables the development of complex models and workflows without writing a single line of code! Check out this short playlist for getting a better idea: https://youtube.com/playlist?list=PL_CsDVZ4IPO-D87TgO0awddJGl2gUYIaD&si=siH6lT_3pwdN3Q-W \r\nLUMASS provides a range of processing components, including map algebra, zonal summaries, terrain attributes, and more. It uses GDAL for 2D raster I/O and NetCDF for data cubes. It supports SQLite-based raster attribute tables alongside any supported raster format.  Furthermore, it enables the integration of any external command line program or script to be included into the pipeline to extend processing capabilities. Programmers find a Python interface for writing \u2018moving window\u2019 functions without having to worry about multi-threading or streaming, which comes out of the box! LUMASS is free and open-source software ( https://github.com/manaakiwhenua/LUMASS ).", "recording_license": "", "do_not_record": false, "persons": [{"code": "MMGUCL", "name": "Alex Herzig", "avatar": null, "biography": null, "public_name": "Alex Herzig", "guid": "ea42d460-3751-5771-83e4-5e69cfd0bff9", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/MMGUCL/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/YND7DA/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/YND7DA/", "attachments": []}], "WA220": [{"guid": "ba20d703-5ff0-52b0-9716-7d12ed82dff6", "code": "H9KKF9", "id": 4432, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/H9KKF9/Screenshot_2025-05-26_143937_FDldIhN.png", "date": "2025-11-20T09:00:00+13:00", "start": "09:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4432-qfield-participatory-mapping-integration-into-digital-earth-pacific-open-data-cube-environments-for-rapid-co-creation-of-classification-models", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/H9KKF9/", "title": "QField participatory mapping integration into Digital Earth Pacific open data cube environments for rapid co-creation of classification models", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "This paper highlights the datasets, analytical tools, computational capacity and insights made possible through Digital Earth Pacific (DE Pacific). The paper focuses on the use case of participatory land use land cover model calibration and validation using QField and the Digital Earth Pacific Jupyter Analytics Hub.", "description": "Introduction\r\n\r\nEarth and Ocean observation technologies have advanced rapidly over the past decades, becoming not only more detailed in terms of spectral and temporal coverage but also increasingly accessible for a wide range of users. \r\nYet there have been ongoing barriers to the uptake and adoption of earth observation analytics needed to inform policy makers. Often these barriers have included complex and overly technocratic language and workflows whereby obstructing access and obscuring insights from satellite data. This has resulted in most analysis of satellite data being limited to academic and research oriented groups.\r\nOther options have recently emerged with the potential to support a wider range of users to gain access to insights from earth observations. However, many of these work workflows remain obscured due to technical and emerging cost barriers. Others may rely on specific packages and libraries that sometimes become deprecated overtime, reducing the overall long-term replicability of these workflows for wider users.\r\nRecent advancements in cloud computing infrastructure in the Pacific region have the potential to enable wider access for various users to access standardized and customised replicable workflows  in the long term without cost. \r\nThis paper highlights the datasets, analytical tools, computational capacity and insights made possible through Digital Earth Pacific (DE Pacific). This is a public technology infrastructure which has learned from the models of Digital Earth Africa, and Digital Earth Australia. \r\n\r\nLand cover monitoring:\r\nLand Use Land Cover (LULC) models shed light on the proportions and distributions of different natural and man-made environments across landscapes at given points in time. When multiple land cover model maps are generated for different points in time, the results can be analysed to detect changes in different land use and land cover classes over time. This analysis is commonly applied to the monitoring and management of a wide range of sectors including, but not limited to, forestry, agriculture, urban planning, infrastructure, water management and mining (Topuz and Deniz, 2023). Yet, there have been persisting challenges for machine learning approaches to meet thresholds of accuracy while generating LULC classification models at scale. Some of these challenges have included:\r\nGenerating LULC models that provide an accurate prediction of land use and land cover distribution at the local scale (meeting accuracy assessment thresholds of X) \r\nScaling of LULC models across diverse ecosystems and geographies while continuing to still meet accuracy assessment thresholds. \r\nReconciling between local needs inputs including groundcover observation points and globally standardised LULC classes and models (for reporting purposes).\r\nThere is no one ideal classification of land use and land cover, and it is unlikely that one could ever be developed. There are different perspectives in the classification process, and the process itself tends to be subjective, even when an objective numerical approach is used (USGS, 1976). \r\n\r\n\r\n\r\n\r\nAims\r\nThe aim of this paper is to provide an overview of the Digital Earth Pacific and some of its recent scientific benchmarking. \r\nThis paper focuses on the used case of nationally driven land service for land cover machine learning classification models. This participatory workflow may be of interest to other stakeholders in the Pacific and more widely who are interested in replicating this for other use cases and sectors. In doing so, the paper may shed some light on best practices within the Pacific region for land use land cover model calibration and validation. The paper will also seek to highlight the long-term replicability of these open-source workflows that are not subject to pay walls or commercial platforms. \r\nThe paper is also intended to raise greater awareness of the current datasets, regional products as well as the methods and workflows used in Digital Earth Pacific.\r\n\r\n2. Materials and methods\r\n2.1. Study area(s)\r\nStudy areas included PICTs that have participated in past DE Pacific Land Cover Assessment Skills Transfer (LCAST) workshops: Tonga, Fiji, The Republic of the Marshall Islands (RMI), Palau, Tuvalu and the Cook Islands. \r\n\r\n2.2. Data and processing\r\n2.2.1. Satellite imagery and the Digital Earth Pacific GeoMAD\r\nMen of the analysis ready data products are made possible through the DE Pacific GeoMAD (Leith, forthcoming). \r\n\r\n2.2.2. Participatory field data calibration and validation using QField\r\nQField is an open access and open source mobile application that is connected to quantum geographic information systems (QGIS) software. This mobile app allows for the collection of Geotagged data points, transects, polygons, and other field data features. In this use case, these data sets are crucial for the calibration and validation of machine learning land cover classification models.\r\nThe participatory elements of these workflows are supported through open-source approaches. The country driven surveys involved use of QField to GPS points that provide a range of different values for the different land cover classes. There are six standardized land cover classes as defined by the IPCC in the Chapter 2 of Chapter 2: Generic Methodologies Applicable to Multiple Land-Use Categories. \r\nThrough country-driven workshops and surveys, local participants are able to contribute to a spectral database that allows for the training of machine learning land cover models. There are options to collect more detailed classes, including other land uses and land cover types outside of the standardized six classes. By including Traditional Ecological Knowledge (TEK) there is also greater room for localization and customization of capabilities with greater room for local inputs into capturing more complexity in terms of Land Use and Land Cover (LULC) changes . A longer list of land cover classes can also be aggregated into a simpler list, including for compatibility with the IPCC classes.\r\n\r\n2.2.3. Participatory post-processing \r\nThis process involved collating, cleaning and validating all of the data sets collected through the field surveys. Participants were then able to ingest these datasets into Digital Earth Pacific through a Jupyter Notebooks environment to then run the random forest classification and other classifier models through SciKit-Learn libraries. \r\n\r\nThe results are shared in this paper including:\r\n\r\n1) LULC model results maps and tables\r\n2) Models trained at a national-scale \r\n3) Skills transfer for ongoing replication \r\n\r\nThere are also areas of Intrinsic value and ongoing capacity building in the region. The paper also shows feedback on the results of pre-and post survey and workshop capacity building shared by the workshop and survey participants.", "recording_license": "", "do_not_record": false, "persons": [{"code": "GDHPXP", "name": "Nicholas Metherall - SPC", "avatar": "https://talks.staging.osgeo.org/media/avatars/1601042519072_QxlyXQi.jpeg", "biography": "Nick is working with the Pacific Community - SPC. Nick provides science advice and product development for Digital Earth Pacific and other earth observation and geospatial projects and applications. \r\n\r\nNick is currently completing his PhD through a joint cotutelle program between the University of the South Pacific and the Australian National University. His research focuses on ridge-to-reef environmental monitoring as well as GIS environmental modelling and remote-sensing land-sea frameworks through riparian corridors. He completed his MSc in the water science specialisation through courses in both the Fenner School as well as the Research School of Earth Sciences at the ANU. Nick also completed his MSc thesis research on quantifying the impacts of in-river gravel extraction on sediment transport in Fiji.\r\n\r\nNick's research areas and skills include: GIS and remote sensing, hydrological and environmental modelling, python, FullCAM carbon accounting, field sampling and measurements of surfacewater and groundwater chemical, geophysical and hydrological parameters and some ecological fieldwork sampling experience forestry biomass carbon assessments as well as sampling of benthic invertebrates and ichthyofauna.\r\n\r\nHe has worked in a range of Government Departments including the Federal Departments of Agriculture, Water and Environment, the Climate Change Division of the Department of Environment and Energy and the Australian Trade Commission. During this time, Nick also worked in environmental monitoring of the impacts of the Ranger Uranium Mine on the Magela floodplains and creeks adjacent close to Jabiru and Kakadu in the Northern Territory. Nick led a team of volunteers to secure second place in the MAXAR Spatial Challenge regional category through a project that combined Digital Globe sub-metre high resolution imagery with FullCAM modelling to assess regeneration of biomass carbon in the context of the 2019-20 bushfire recovery through a case study in Cann River, Gippsland. Nick was also the team lead for the Yadrava na Vanua team that gained first place in the Space for Planet Earth Competition to use satellite data to estimate carbon sequestration. The team was led by students and staff from the University of the South Pacific, University of Fiji and Fiji National University.", "public_name": "Nicholas Metherall - SPC", "guid": "950e8736-c01f-5031-be6a-78427dd1b615", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GDHPXP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/H9KKF9/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/H9KKF9/", "attachments": []}, {"guid": "8c987e36-80e8-5f3f-a720-43f135099f85", "code": "SNHT8D", "id": 4326, "logo": null, "date": "2025-11-20T09:30:00+13:00", "start": "09:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4326-unlocking-the-treasure-trove-of-government-data-how-links-veda-is-advancing-data-driven-governance", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SNHT8D/", "title": "Unlocking the Treasure Trove of Government Data: How LINKS Veda is Advancing Data-Driven Governance", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "To overcome the long-standing underutilization of paper and unstructured data accumulated by MLIT, LINKS Veda has been launched. This talk introduces methods to enhance the quality and speed of policy-making through AI technology, no-code processing, and geospatial data utilization.", "description": "LINKS Veda is an initiative by MLIT to build a centralized and reusable data infrastructure by automatically structuring administrative information using AI technologies such as LLM, NLP, and image recognition.\r\n\r\n### **Key features include:**\r\n\r\n- **Automated Structuring of Unstructured Data**\r\n    \r\n    Tasks traditionally done manually, such as organizing PDFs and Excel files, are now automated using AI technologies, significantly improving operational efficiency and data usability.\r\n    \r\n- **No-Code Data Processing**\r\n    \r\n    Enables intuitive operations using data processing templates, even for non-specialists. It also promotes the reusability and continuous improvement of structured processes.\r\n    \r\n- **Implementation Through EBPM and Open Data**\r\n    \r\n    Facilitates quantitative analysis for policy evaluation and operational improvement, with use cases spanning areas such as regional tourism trends, logistics, and productivity.\r\n    \r\n- **Support for Geospatial Data**\r\n    \r\n    Outputs in GeoJSON/CSV formats enable high compatibility with GIS tools and web applications for effective data visualization.\r\n    \r\n\r\nThis talk will share real-world use cases to illustrate how previously untapped government data is being transformed into a vital resource for open innovation.\r\n\r\n### **Who Should Attend:**\r\n\r\n- Government and municipal officials interested in digital transformation and data infrastructure\r\n- Researchers and think tank professionals involved in EBPM\r\n- Data engineers, GIS developers, and no-code/low-code developers\r\n- Startups and corporate representative working on projects that utilize open or public data", "recording_license": "", "do_not_record": false, "persons": [{"code": "LLEZLA", "name": "Kazuma Tsuchiya", "avatar": null, "biography": "A software engineer specializing in Web and GIS.", "public_name": "Kazuma Tsuchiya", "guid": "4fafb747-bebe-5943-a63f-d763909355d0", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LLEZLA/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SNHT8D/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SNHT8D/", "attachments": []}, {"guid": "f056aa99-ebf2-5bf6-a28b-15b953acc6fc", "code": "ABAUC9", "id": 4426, "logo": null, "date": "2025-11-20T10:00:00+13:00", "start": "10:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4426-utilizing-free-and-open-source-software-to-better-share-local-data-for-improved-community-decision-making", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ABAUC9/", "title": "Utilizing Free and Open-Source Software to Better Share Local Data for Improved Community Decision Making", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "This presentation will share how community members are being trained to leverage the use of measurable local data in decision making using Free and Open-Source software such as QGIS, GeoJSON.io, Google Sheets, GitHub, and Tableau Public.", "description": "Recognizing the need for improved access to data vital for addressing vexing community challenges, Iowa State University Extension and Outreach\u2019s Community and Economic Development (CED) unit developed the Community Indicators Program in 2013 and the Data Science for Public Good (DSPG) Young Scholars summer outreach program (https://dspg.iastate.edu/) in 2020. These programs have been successful at producing and sharing demographic, economic and other state data through the curation of meaningful and timely data and informative publications and dashboards. The programs have also worked with communities to utilize the Community Learning through Data Driven Discovery (CLD3) https://cld3.org/our-approach/ framework to address local issues and provide local stakeholders with the ability to make data-supported decisions.\r\n\r\nWhile these efforts have been a good start to improve issue awareness and decision-making in smaller and rural communities, many of the indicators that are informative measures in larger communities are not readily available or are at a granularity that is not suitable for local decision-making. Additionally, access to software and the skills to operate this software can be a barrier to working with this data once it is identified.\r\n\r\nTo address this issue, a program focused on Science Education and Workforce Development was piloted in 2024. This program prioritized 1) Increasing local capacity for data literacy 2) Increasing technical skills to access data 3) Increasing ability to share local data. The program developers recognized the need for utilizing Free and Open-Source software to limit the cost and access barriers to visualizing and sharing local data with the community. Software skills are developed though hands-on-training using local data examples. The current suite of free and open-source software is accessible and scalable to meet the needs of many small communities. The software included in the program consists of QGIS, GeoJSON.io, Google Sheets, GitHub, and Tableau Public. Used together, this software allows participants to easily make their local community data publicly available at little to no cost. \r\n\r\nExamples of some of the data projects include: the number of recurring community events, use frequency of park shelter rentals, number of volunteer organizations, number of youth/adult parks and recreation participants, attendance rates at council/supervisor meetings, number of permits for home improvements, library check outs, or even the number and spatial location of trees planted by the city. During this presentation, the presenter will share several of these examples demonstrating how this software can be used by those new to data science or geospatial technology. Additionally, the presentation will include some techniques that can be used to increase the utility and delivery of spatial data visualizations created with these tools.", "recording_license": "", "do_not_record": false, "persons": [{"code": "HGKHPJ", "name": "Christopher J. Seeger", "avatar": "https://talks.staging.osgeo.org/media/avatars/cjseeger_0_B5FOKwB.jpg", "biography": "Christopher J. Seeger, (cjseeger@iastate.edu) PLA, GISP is a Morrill Professor and Extension Specialist in Landscape Architecture and Geospatial Technology at Iowa State University. He leads the ISU Extension and Outreach Indicators Program and is the director of the Data Science for the Public Good Young Scholars Program. Professor Seeger specializes in the integration of geospatial technologies, collaborative design technologies, crowd-sourcing (Public Participation GIS and Volunteered Geographic Information) and data visualization to develop local current datasets and indicators that can be used in the community planning and design process.", "public_name": "Christopher J. Seeger", "guid": "38596665-5435-5bc8-89cd-8269f822f505", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/HGKHPJ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ABAUC9/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ABAUC9/", "attachments": []}, {"guid": "ee85e8fe-fc63-56ee-a88f-3b9e3862512e", "code": "ACSJKW", "id": 4393, "logo": null, "date": "2025-11-20T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4393-pyforestscan-a-python-library-for-large-scale-lidar-forest-structure-metrics", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ACSJKW/", "title": "PyForestScan: A Python Library for Large-Scale LiDAR Forest-Structure Metrics", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "We introduce PyForestScan, a Python library that streams LiDAR data and outputs GeoTIFF canopy height, cover, foliage-height diversity, plant-area-index and density layers. We demonstrate it by mapping forest metrics on Hawai\u2018i Island\u2019s 1 M-ha, 1.8 B-point survey into 1\u201330 m grids.", "description": "Airborne LiDAR now blankets landscapes with up to sub-centimeter-scale detail. Yet, researchers and land managers have lacked a fully open, Python-native workflow to transform billions of points into actionable information on forest structure. Existing solutions are either proprietary or anchored in R, leaving the rapidly growing Python geospatial stack without a scalable counterpart. PyForestScan bridges this gap. Built on PDAL\u2019s streaming I/O, the library reads traditional LAS/LAZ alongside hierarchical octree formats such as COPC and EPT, tiles point clouds automatically, and exports GeoTIFF layers of canopy height, canopy cover, foliage-height diversity (FHD), plant-area density (PAD), plant-area index (PAI), and digital-terrain models in a single command. We demonstrate these capabilities by generating island-wide canopy height, canopy cover, FHD, and PAI mosaics for Hawai\u2018i Island - an area with over 1 million hectares and over 1.8 billion points, in under 24 hours of wall time on commodity hardware, producing multi-resolution (1 m\u201330 m) grids ready for carbon accounting, biodiversity assessment, and geoAI training. The talk will outline PyForestScan's architecture, highlight performance benchmarks, and invite contributions via its open governance model, Docker images, and CI-tested notebooks. By placing robust LiDAR analytics squarely within the free and open Python ecosystem, PyForestScan equips the FOSS4G community to move seamlessly from raw point clouds to island- and continent-scale forest insights.", "recording_license": "", "do_not_record": false, "persons": [{"code": "37VPNQ", "name": "Joseph Percival", "avatar": null, "biography": "Software engineer and postdoctoral researcher at the University of Hawaii.", "public_name": "Joseph Percival", "guid": "8d233482-8580-53a9-a583-8f9816d45bb9", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/37VPNQ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ACSJKW/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ACSJKW/", "attachments": []}, {"guid": "1ca5055c-130f-5150-b4f2-67b993abe9c5", "code": "8D7WZ8", "id": 4218, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/8D7WZ8/komalraiauk_uxebQ0f.png", "date": "2025-11-20T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4218-spatiotemporal-analysis-of-forest-disturbance-dynamics-in-maharashtra-using-remote-sensing-techniques", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8D7WZ8/", "title": "Spatiotemporal Analysis of Forest Disturbance Dynamics in Maharashtra Using Remote Sensing Techniques", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "This study investigates forest disturbance patterns across Maharashtra using multi-temporal remote sensing data. By analyzing vegetation indices and land surface temperature trends from 2014 to 2024, the research identifies key spatiotemporal shifts in forest cover. The findings contribute to understanding ecosystem dynamics and support forest management and conservation strategies.", "description": "Abstract\r\nForests in Maharashtra are undergoing significant changes due to a combination of natural and anthropogenic factors. This study employs multi-temporal remote sensing data from 2014 to 2024 to analyze forest disturbances across the state. By integrating vegetation indices like NDVI and NDWI along with Land Surface Temperature (LST), we map disturbance hotspots and quantify temporal forest change. The results highlight key patterns in forest degradation and provide valuable insights for conservation planning and sustainable land use policies.\r\nForests are vital for maintaining ecological balance, regulating climate, and supporting biodiversity, and Maharashtra, located in western India, hosts diverse forest types ranging from dry deciduous to moist deciduous, particularly in the Sahyadri (Western Ghats), Satpura, and Vidarbha regions; however, these ecosystems are increasingly under pressure from urbanization, infrastructure expansion, mining, logging, and climatic stress such as droughts and rising temperatures. In this study, forest disturbances across Maharashtra were assessed over a decade (2014\u20132024) using spatiotemporal remote sensing data and open-source platforms, where Landsat imagery was primarily used for the pre-2017 period and Sentinel-2 data was incorporated after its availability, thereby ensuring temporal continuity; to address the differences in spatial resolution (30 m for Landsat vs. 10\u201320 m for Sentinel-2), all datasets were harmonized to a common scale through resampling techniques to ensure comparability across time. Vegetation indices including NDVI (for greenness) and NDWI (for vegetation moisture) were computed from both datasets, while MODIS-derived Land Surface Temperature (LST) was integrated to capture thermal anomalies, and preprocessing steps included cloud masking, generating seasonal composites (pre-monsoon, monsoon, and post-monsoon), and applying zonal statistics at the district level. A composite Forest Disturbance Index (FDI) was developed by combining NDVI, NDWI, and LST trends, with thresholds applied to detect significant vegetation decline alongside thermal rise, and temporal anomalies were analyzed using Mann-Kendall and Sen\u2019s slope methods. Results revealed widespread declining trends in NDVI and NDWI, particularly in forest-rich districts such as Gadchiroli, Chandrapur, and Thane, where vegetation decreased by 5\u201315%, with sharper drops during dry seasons, while LST rose by 1.5\u20132.2\u00b0C in disturbed patches. Spatial patterns showed fragmentation in the Western Ghats due to encroachment and road development, recurrent disturbances in Vidarbha linked to mining and shifting cultivation, and localized degradation in Marathwada, where seasonal stress appeared not only from forested patches under drought but also due to edge effects from agricultural expansion adjacent to forests, leading to canopy thinning and conversion pressures. Seasonally, pre-monsoon months exhibited maximum stress and fire risk, monsoon months showed vegetation recovery, and post-monsoon periods marked the re-emergence of degradation signals. These disturbances were driven by anthropogenic pressures such as urban growth, illegal logging, and mining, compounded by climatic anomalies and occasional natural events like cyclones and landslides in the Ghats. Overall, the integration of multi-source satellite datasets, after careful harmonization, proved effective in detecting disturbance hotspots and tracking temporal changes, and the findings underscore significant degradation in Maharashtra\u2019s forests over the past decade, highlighting the urgent need for early detection, mitigation, and informed conservation planning by policymakers and forest managers.", "recording_license": "", "do_not_record": true, "persons": [{"code": "QDB8VL", "name": "Komal Rai", "avatar": "https://talks.staging.osgeo.org/media/avatars/medguphoto_eQuEnj8.jpeg", "biography": "Komal Rai is a dedicated researcher in the field of geoinformatics and remote sensing, currently pursuing her PhD at the Indian Institute of Technology Bombay. Her academic journey includes an M.Tech in Geoinformatics from Graphic Era University and a B.Tech from the University of Petroleum and Energy Studies. With hands-on experience at institutions like BITS Pilani (Goa campus) and the Uttarakhand Space Application Centre, Komal has worked on diverse projects including forest phenology, flood risk mapping, and forest degradation analysis.\r\n\r\nHer research has been presented at prestigious forums such as EGU 2025, InGARSS 2024, and MedGU 2024, and published in IEEE, Materials Today, and GIS Science journals. Komal\u2019s expertise spans GIS, SAR imagery analysis, forest disturbance modeling, and risk zonation, with skills in Python, ArcGIS, ERDAS, and more. A certified reviewer for IEEE Access and a recipient of top honors in the NGP-DST GeoInnovation Challenge, she is passionate about applying geospatial technology for environmental sustainability, disaster management, and forest conservation.", "public_name": "Komal Rai", "guid": "871201b9-93d9-5b33-8227-69e875f8552d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/QDB8VL/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8D7WZ8/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8D7WZ8/", "attachments": []}, {"guid": "8ac2b838-8043-5b5b-a6bf-aa635dec8b64", "code": "KDTE9Z", "id": 4429, "logo": null, "date": "2025-11-20T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4429-identifying-forest-invasive-species-in-fiji-and-tonga-using-machine-learning", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KDTE9Z/", "title": "Identifying Forest Invasive Species in Fiji and Tonga Using Machine Learning", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "Deforestation and forest degradation in the Pacific is an ongoing threat to biodiversity, ecological connectivity and livelihoods. These processes have catalysed rapid expansion of invasive flora constituting severe land degradation. Using Digital Earth Pacific, we are better able to monitor the sprawling expansion of these invasive species.", "description": "Introduction \r\n\r\nIn the Pacific, the spread of invasive species has been a result of direct anthropogenic impacts of land use modifications as well as indirect anthropogenic impacts of natural occurrences like tropical cyclones. Such disturbances have accelerated the spread of invasive species, particularly over degraded and exposed landscapes, by clearing the land and changing it. \r\n\r\nData were collected via GPS surveys in the field to identify confirmed invasive species sites, which were then processed with time-series satellite data over Digital Earth Pacific. Phenological characteristics and seasonal trends in plant vegetation were used to train the models to detect and track invasive species over an extent of time. The results demonstrate the feasibility of region-wide, large-scale monitoring of invasive plant species. The methods are a valuable tool to interpret spatial invasion patterns since 2017 until the present moment, contributing to more accurate ecosystem management and informing policy responses to land degradation and biodiversity loss across PICTs. \r\n\r\nTwo of the key objectives of the project are to assess two high-priority invasive species: Spathodea campanulata (also referred to as African tulip tree) and Cordia alliodora (also referred to as Cordia, Salmwood, or Spanish Elm). They are targeted since they are extensively found and ecologically affecting native forests in both countries. Other invasive plant species, such as Leucaena leucocephala, Merremia peltata (Cook's Glory), Hevea brasiliensis (Para Rubber tree), and Acacia mangium (Black Wattle), have been identified as secondary problems in several Pacific Island Countries and Territories (PICTs). Their invasion is a daunting task due to the intensity and speed of invasion. This study proves the use of Earth observation technology and machine learning for mapping and monitoring the invasive tree species distribution across the Pacific. \r\n\r\nMethodology \r\n\r\nField surveys were conducted using QField, an open-source mobile GIS that is integrated with QGIS, to collect georeferenced data on invasive species in Fiji and Tonga. \r\n\r\nCollecting the data was done through filling out custom forms to input date, species, landcover category, and location with line-of-sight mapping or locked GPS points, using high-accuracy devices (e.g. TDC 650), with accuracy ranging from 3\u202fm to sub-metre.  \r\n\r\nTo complement model training, data on non-native species and other vegetations were also obtained to be utilized as machine learning (ML) classification training data. Upon deployment in the field, the data were compiled into a geodatabase, cleaned, validated, and overlaid on Sentinel-2 satellite Geo-Median composites (10 m resolution, 2024). These vector training points were loaded into the Digital Earth Pacific platform and used to sample Sentinel-2 image spectral and vegetation index values including NDVI, EVI, SWIR, chlorophyll index, and other band ratios. The data were then used to train a Random Forest machine learning model that was initially tested against small parcels and continuously improved. \r\n\r\nPhenological data (e.g., blooming period) from local witnesses informed seasonal satellite image filtering to optimize classification accuracy. STAC architecture enabled multi-sensor data integration and simplified access to spectral features. Validation for accuracy was conducted in collaboration with indigenous forestry and botany experts. Their input improved model reliability and contextual validity. Further ground-truthing was used to validate results and collect more data, further calibrating model projections. Once acceptable accuracy had been achieved, the workflows were reconciled into Python notebooks and disseminated to Forestry Ministries for further use and replication. \r\n\r\n \r\n\r\nPreliminary Results  \r\n\r\nThe attempts at classifying invasive species in Tonga and Fiji used machine learning (ML) models that were trained from ground-collected data and Sentinel-2 satellite images. Preliminary classifications in the Toloa Forest of Tonga overestimated the amount of Cordia salmwood due to unbalanced training data and the lack of seasonal filtering. Improvements in the third iteration enhanced the detection of Cordia, particularly at forest edges. Atele Forest model using the Toloa-trained classification identified African Tulip spread without ground points, verifying the prediction capability of the model. \r\n\r\nIn Fiji, there were some forests that had widespread invasive species. Wainibuka Forest had a 43% African Tulip cover, aided by cyclone seed dispersal. Nadarivatu and Korotari Forests had widespread Cordia Alliodora invasions from previous plantations, with Korotari also having 40% African Tulip. Lololo and Bua Forests, both owned by Fiji Pine Limited, had widespread Acacia mangium invasions in Bua with 77% Acacia cover, hindering pine regeneration Capacity building was a main component in place to offer sustainability.  \r\n\r\nThere were two workshops held in Tonga with the Ministry of Agriculture, Food, and Forests. The initial one trained officers in QGIS and QField for data collection. The second workshop demonstrated ML principles through ground-truth points and Sentinel-2 images, and hands-on Python sessions. Participants collected additional Cordia and African Tulip data to improve model accuracy.  \r\n\r\nIn Fiji, a compressed one-week workshop in Nadi engaged 15 individuals from forestry, agriculture, and land management. Training was conducted on QGIS, QField, and ML processes using Sentinel-2 data. Booklets were provided to participants with guided activities so that they could replicate invasive mapping in their local area.  \r\n\r\nOverall, these efforts strengthened national capacity to detect, monitor, and manage invasive plant species using advanced geospatial technologies and participatory learning approaches.", "recording_license": "", "do_not_record": false, "persons": [{"code": "GDHPXP", "name": "Nicholas Metherall - SPC", "avatar": "https://talks.staging.osgeo.org/media/avatars/1601042519072_QxlyXQi.jpeg", "biography": "Nick is working with the Pacific Community - SPC. Nick provides science advice and product development for Digital Earth Pacific and other earth observation and geospatial projects and applications. \r\n\r\nNick is currently completing his PhD through a joint cotutelle program between the University of the South Pacific and the Australian National University. His research focuses on ridge-to-reef environmental monitoring as well as GIS environmental modelling and remote-sensing land-sea frameworks through riparian corridors. He completed his MSc in the water science specialisation through courses in both the Fenner School as well as the Research School of Earth Sciences at the ANU. Nick also completed his MSc thesis research on quantifying the impacts of in-river gravel extraction on sediment transport in Fiji.\r\n\r\nNick's research areas and skills include: GIS and remote sensing, hydrological and environmental modelling, python, FullCAM carbon accounting, field sampling and measurements of surfacewater and groundwater chemical, geophysical and hydrological parameters and some ecological fieldwork sampling experience forestry biomass carbon assessments as well as sampling of benthic invertebrates and ichthyofauna.\r\n\r\nHe has worked in a range of Government Departments including the Federal Departments of Agriculture, Water and Environment, the Climate Change Division of the Department of Environment and Energy and the Australian Trade Commission. During this time, Nick also worked in environmental monitoring of the impacts of the Ranger Uranium Mine on the Magela floodplains and creeks adjacent close to Jabiru and Kakadu in the Northern Territory. Nick led a team of volunteers to secure second place in the MAXAR Spatial Challenge regional category through a project that combined Digital Globe sub-metre high resolution imagery with FullCAM modelling to assess regeneration of biomass carbon in the context of the 2019-20 bushfire recovery through a case study in Cann River, Gippsland. Nick was also the team lead for the Yadrava na Vanua team that gained first place in the Space for Planet Earth Competition to use satellite data to estimate carbon sequestration. The team was led by students and staff from the University of the South Pacific, University of Fiji and Fiji National University.", "public_name": "Nicholas Metherall - SPC", "guid": "950e8736-c01f-5031-be6a-78427dd1b615", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GDHPXP/"}, {"code": "A9VAA9", "name": "Elenoa Biukoto", "avatar": "https://talks.staging.osgeo.org/media/avatars/9b2aabad-da93-40eb-a728-e15ebf692aa8_A7pB3ig.jpg", "biography": "Currently works at the Pacific Community (SPC), supporting regional projects on invasive species mapping, machine learning (seagrass, landcover, and forestry), and land monitoring across Fiji, Tonga, and Vanuatu. Notable work includes field data collection, technical training delivery, machine learning and geospatial analysis. Has contributed to national forest inventories, satellite data integration, the development of mapping tools, and helping strengthen environmental monitoring and decision-making across Pacific Island Countries and Territories (PICTs).", "public_name": "Elenoa Biukoto", "guid": "bcaa2654-3107-52ff-87f1-2da0b9f5051f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/A9VAA9/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KDTE9Z/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KDTE9Z/", "attachments": []}, {"guid": "178be3f8-2f21-5790-b66f-92ec22cd0366", "code": "GLLESU", "id": 4290, "logo": null, "date": "2025-11-20T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4290-network-analysis-at-the-continental-scale-determining-new-measures-for-accessibility", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GLLESU/", "title": "Network Analysis at the continental scale, determining new measures for accessibility.", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "The Centre for Australian Research into Access has been utilising the fast-calculating methods of the Pandana library in combination with Geopandas methods to perform continental-scale network analysis. Outputs of our work attempt to highlight the importance of address-level spatial analysis when assessing accessibility to services.", "description": "The Centre for Australian Research into Access (CARA) has been utilising the fast-calculating methods of the Pandana Python library in combination with Geopandas methods to perform continental-scale network analysis. CARA's objective is to provide address-level accessibility calculations for health and education with a particular focus on rurality, to assist academic researchers and to inform policymakers. The work we are producing is a result of an Australian Research Council Linkage Infrastructure, Equipment and Facilities (LIEF) grant, which has recently finalised building a spatially detailed infrastructure for a more equitable nation, representing a digital twin for modelling the patterns and processes impacting the Australian population.\r\n\r\nCARA has adapted open-source Python libraries, file formats, and data to develop network analysis methods that operate on continental scales that have previously been too costly to process. The Pandana open-source Python library enables fast network calculations to find shortest paths using contraction hierarchies (Foti & Waddell 2012). We have used methods from Pandana to perform \u2018number of nearest\u2019 calculations (n-nearest), matrix calculations, and catchment area calculations for both time and distance impedances. Calculations have been carried out using origin data for approximately 10.6 million residential addresses across Australia to various health and education destination datasets. Spatial methods from the Geopandas library were also used to account for the times and distances between origin/destination points and the network, and also to aggregate outputs to spatial units such as those in the Australian Statistical Geography Standard (ASGS). \r\n\r\nOutputs from our n-nearest network calculations using the Pandana nearest_pois method (3.7 million nodes, 7.8 million edges, two impedances, and 7,073 destinations) have been completed in less than 3.5 minutes. Outputs from our matrix and catchment network calculations using the Pandana shortest_path_lengths method have fluctuating run times due to the varying number of input origin and destination points with each calculation. However, they are robust in handling a large number of inputs.\r\n\r\nThese methods have recently been adapted to use Overture Maps data that will allow them to be applied to a wide variety of countries throughout the world.", "recording_license": "", "do_not_record": false, "persons": [{"code": "3MM3YX", "name": "Sam Quinsey", "avatar": null, "biography": null, "public_name": "Sam Quinsey", "guid": "db762dcf-23e5-5036-a7b0-d34907fc4c98", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/3MM3YX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GLLESU/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GLLESU/", "attachments": []}, {"guid": "42998864-a268-5c95-b2be-ebc98580d782", "code": "REYQCT", "id": 4458, "logo": null, "date": "2025-11-20T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4458-from-raw-to-ready-rapid-sentinel-2-index-workflows-for-time-sensitive-use-cases", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/REYQCT/", "title": "From Raw to Ready: Rapid Sentinel-2 Index Workflows for Time-Sensitive Use Cases", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "When critical Sentinel-2 index data went missing before a deadline, we rapidly rebuilt coverage using Sentinel-2 UTM Tiling Grid (ESA), filtered cloud and shadow pixels, and inserted clean values into the database. This talk shares practical steps, code, and lessons learned from urgent environmental monitoring under time constraints.", "description": "This presentation explores the urgent recovery of missing Sentinel-2 index data using the ESA UTM tiling grid. It details the preprocessing pipeline, including cloud and shadow masking, null-value extraction, and optimized insertion into geospatial databases. Emphasis is placed on a real-world agriculture use case\u2014monitoring crop health during a narrow seasonal window\u2014where fast, accurate index data is critical for timely decision-making. Attendees will gain insights into handling remote sensing data under pressure, including code examples and workflow strategies tailored for rendering the recovered index data as CovJSON, enabling efficient visualization and analysis within agricultural decision-support systems.", "recording_license": "", "do_not_record": false, "persons": [{"code": "SP3G73", "name": "Siriwat Suttipanyo", "avatar": "https://talks.staging.osgeo.org/media/avatars/siriwat_cq6fdL8.jpg", "biography": "GIS Frontend Developer at Vallaris Maps.", "public_name": "Siriwat Suttipanyo", "guid": "a00802b7-63ff-5d7a-b80a-94f656bda7b0", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/SP3G73/"}, {"code": "XAGQYY", "name": "Natpakal Maneerat", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_190_jKtOHhX.png", "biography": "Geoinformatics Engineer with hands-on experience in remote sensing, geospatial data processing, and environmental monitoring. With a strong background in satellite imagery (Sentinel, Landsat), spatial analysis, and Python-based automation, focuses on developing efficient workflows for land monitoring, agriculture, disaster response and 3D processing.", "public_name": "Natpakal Maneerat", "guid": "18b13b58-3c76-595a-a748-7565f4c6a86f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/XAGQYY/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/REYQCT/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/REYQCT/", "attachments": []}, {"guid": "cd652a08-c344-531f-bce4-c61b75f4eaf9", "code": "CPM8TS", "id": 4434, "logo": null, "date": "2025-11-20T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4434-from-thousands-to-seamless-the-power-of-virtual-tilesets-in-thailand-s-3d-landscape", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CPM8TS/", "title": "From Thousands to Seamless: The Power of Virtual Tilesets in Thailand's 3D Landscape", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "Explore how extensive building data in Thailand is efficiently managed using innovative virtual tilesets. Learn about data partitioning with Google\u2019s S2 grid system, transforming and merging thousands of 3D assets for scalable visualization, and the advantages this method offers for effective geospatial data handling.", "description": "This presentation explains how large-scale 3D geospatial data for Thailand is managed efficiently. It covers the dataset\u2019s scale and the reasoning behind organizing data using Google\u2019s S2 grid system to improve management and processing. The talk explores the differences between using a single tileset versus multiple tilesets, and how virtual tilesets enable the efficient combination of thousands of 3D assets. Attendees will gain insights into the data and the key benefits of virtual tilesets, including enhanced performance, flexibility, and improved 3D visualization quality. Whether your work involves urban planning, disaster management, or geospatial mapping, this session offers practical strategies for handling complex 3D geospatial datasets.", "recording_license": "", "do_not_record": false, "persons": [{"code": "SP3G73", "name": "Siriwat Suttipanyo", "avatar": "https://talks.staging.osgeo.org/media/avatars/siriwat_cq6fdL8.jpg", "biography": "GIS Frontend Developer at Vallaris Maps.", "public_name": "Siriwat Suttipanyo", "guid": "a00802b7-63ff-5d7a-b80a-94f656bda7b0", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/SP3G73/"}, {"code": "P7BRUZ", "name": "Siriya Saenkhom-or", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_6186_2_TEIL718.jpg", "biography": "Vallaris Backend Developer at Vallaris Maps", "public_name": "Siriya Saenkhom-or", "guid": "8974c370-2adb-5fb7-9434-0b9e63b82c54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/P7BRUZ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CPM8TS/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/CPM8TS/", "attachments": []}, {"guid": "93b5d150-69bd-56ff-ae72-88dff969dd80", "code": "UNCDTV", "id": 4463, "logo": null, "date": "2025-11-20T15:30:00+13:00", "start": "15:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4463-from-data-to-decisions-harnessing-open-geospatial-data-and-geoai-for-urban-predictive-analytics", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UNCDTV/", "title": "From Data to Decisions: Harnessing Open Geospatial Data and GeoAI for Urban Predictive Analytics", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "This presentation examines the transformative impact of open geospatial data (CSDI Portal) on geospatial analysis and predictive modeling in Hong Kong. It showcases innovative projects that leverage AIoTs and GeoAI to offer actionable insights for urban planning/public health. Forecasted outputs disseminates through interactive dashboard for real-time visualization.", "description": "The emergence of open geospatial data from governmental sources regulated by Hong Kong\u2019s open data policy (formalized in 2018) has transformed the methodology for geospatial analysis and predictive modeling. This presentation will highlight the importance of open geospatial data (CSDI Portal) and introduce how innovative projects could leverage the open data to develop near real-time predictive models and analyses using Artificial Intelligence of Things (AIoTs) and Geospatial Artificial Intelligence (GeoAI) technology. Utilizing a variety of open-source libraries and tools for machine learning algorithms, integrating both static and dynamic datasets through API functionalities, to enhance the understanding of urban dynamics in GeoAI applications.\r\n\r\nThe showcased innovative projects will illustrate how AIoTs and GeoAI techniques can provide actionable insights for urban planning and public health initiatives. Furthermore, the outputs of these projects will be shared publicly through a map-based dashboard, allowing users and the general public to interact with and visualize the output in real time. Participants will gain insights into the methodologies employed, the challenges faced, and the implications of the findings for smart city development. This presentation hopes to demonstrate the efficacy of open geospatial data and open-source technologies in fostering collaboration and innovation in geospatial research, ultimately contributing to more resilient and adaptive urban environments.", "recording_license": "", "do_not_record": false, "persons": [{"code": "MLLDPF", "name": "Paulina Wong", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_8463_uZHNOEr.jpeg", "biography": "Prof. Paulina Wong is currently an Associate Professor (Presidential Early Career Scholar) and Head of the Science Unit at Lingnan University and Associate Director of the LEO Dr David P. Chan Institute of Data Science. She specializes in urban climate, air and noise pollution, GIS, and environmental health. In recent years, her research has been extended to GeoAI analytics, urban sensing, mobile geospatial technologies, sustainability education and ESG. She is the elected Young Member of Hong Kong Academy of Engineering Sciences and is a certified GIS Professional. She has been a Fulbright and Lee Hysan scholar. She also serves on a number of professional associations such as the Council member and Vice-chairman of the Spatial Data Infrastructure Committee of Smart City Consortium, President of HKGISA, Honorary Secretary of HKABAEIMA and Hong Kong China Chapter of buildingSMART International, Advisor (Research) for International Chamber of Sustainable Development (ICSD) to foster GIS, Open BIM, ESG and Smart City development. She is also the editorial board member and review editor of several quality international journals.", "public_name": "Paulina Wong", "guid": "d5759474-69b2-5a90-928c-a11eedd43553", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/MLLDPF/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UNCDTV/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UNCDTV/", "attachments": []}, {"guid": "e7011532-9e00-5d45-aad2-86f98e3a219c", "code": "7Z3DTA", "id": 4509, "logo": null, "date": "2025-11-20T16:00:00+13:00", "start": "16:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4509-awesome-cloud-based-open-source-gis-apps-from-rmit-students", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7Z3DTA/", "title": "Awesome Cloud-based Open-source GIS apps from RMIT students", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "This presentation highlights the feasibility and impact of teaching \u201cCloud-based Open-source GIS Solutions\u201d through student-developed applications. Featuring five selected apps, it demonstrates how project-based learning fosters practical skills, innovation, engagement with open geospatial technologies, preparing students to contribute effectively to the evolving landscape of open GIS.", "description": "This presentation shares the experience of designing and delivering a university course centered on Scaffolded Project-Based Learning (SPL) in the context of cloud-based open-source GIS. Drawing from Cloud-based Open-source GIS Solutions at RMIT University, the session highlights how SPL can be used to equip students with both foundational geospatial knowledge and cutting-edge technical skills, aligning their learning with the demands of a rapidly evolving geospatial industry.\r\n\r\nCloud-based, open-source GIS represents an emerging paradigm in geospatial science. It goes beyond teaching students to operate individual tools by emphasizing GIS as a system for spatial thinking and decision-making. Through the SPL framework, students are guided from being tool users to becoming system designers and tool builders. The course structure integrates theory, new technologies, and iterative, scaffolded practice to help students design cloud-native geospatial solutions to real-world challenges.\r\n\r\nAt the core of the course is a semester-long, individual project in which students conceptualize, develop, and deploy a functional GIS application. These projects are not just technical exercises\u2014they are opportunities to design systems that perform spatial analysis, support decision-making, and address practical challenges such as urban heat islands, flooding, environmental degradation, and spatial inequality. Students use open-source tools and platforms such as PostGIS, QGIS, GitHub, Cesium Ion, Earth Engine Apps, Mapbox, Leaflet, and GeoAI frameworks, while learning deployment strategies using cloud infrastructure and serverless technologies.\r\n\r\nThe SPL pedagogy ensures students build confidence and competence through structured phases:\r\n\r\nEarly-stage assignments introduce essential tools, spatial data formats, and cloud workflows;\r\n\r\nMid-semester milestones guide system architecture, backend/frontend integration, and data sourcing;\r\n\r\nPeer feedback and mentoring support project refinement and encourage collaborative learning.\r\n\r\nThis pedagogical strategy fosters not only technical fluency but also critical thinking about how to design geospatial systems that are scalable, interoperable, and user-focused. It reinforces the understanding that spatial technologies are most powerful when they are purposefully assembled to solve complex problems\u2014something increasingly demanded by industry, government, and community sectors.\r\n\r\nThe presentation will feature lightning talks by five students whose applications reflect creativity, technical rigor, and engagement with real-world issues. While the applications are in progress, each talk will emphasize the problem addressed, the open-source stack used, and the design decisions made. This format aims to share process over product\u2014highlighting learning outcomes, problem-solving strategies, and reflections on using open-source technologies in a cloud-native environment.\r\n\r\nAdditionally, this session will present a broader reflection on how scaffolded project-based learning can transform geospatial education. It will explore questions such as:\r\n\r\nHow can SPL help students move from passive users to active developers of spatial solutions?\r\n\r\nWhat competencies are most critical for graduates entering cloud-native geospatial workforces?\r\n\r\nHow can open-source and academic communities better support each other in this transition?\r\n\r\nPreliminary evaluations of the course indicate that this approach promotes student engagement, deepens understanding of geospatial systems architecture, and encourages students to see themselves as contributors to the open-source ecosystem. Several students have expressed interest in continuing their projects post-course or using them as part of a professional portfolio.\r\n\r\nReal-world case studies\u2014including the development of virtual flooding digital twins and visualizations for climate resilience\u2014illustrate the alignment between classroom learning and industry needs. These examples demonstrate how SPL, combined with cloud-native open-source GIS, offers a scalable and adaptable model for preparing students to work at the intersection of spatial science, digital technologies, and societal challenges.\r\n\r\nBy sharing the design, philosophy, and outcomes of this course, the presentation aims to contribute to broader discussions on how to teach the next generation of geospatial professionals in ways that are future-ready, open, and grounded in systems thinking. It will be of particular interest to educators, developers, curriculum designers, and anyone engaged in building capacity in the FOSS4G ecosystem.", "recording_license": "", "do_not_record": false, "persons": [{"code": "778BEK", "name": "Qian (Chayn) Sun", "avatar": "https://talks.staging.osgeo.org/media/avatars/778BEK_b7oCEdv.webp", "biography": "Associate Professor Qian (Chayn) Sun is a geospatial scientist specializing in urban informatics, GeoAI, and environmental health. She leads the GISail research group at RMIT University, focusing on developing advanced geospatial solutions to improve urban resilience and sustainability. Her research integrates spatial analytics, remote sensing, and machine learning to address complex challenges in urban planning, climate change mitigation, and public health. Chayn has led several key projects with AURIN, including the Integrated Heat Vulnerability Assessment Toolkit, and the development of a national database on Culturally and Linguistically Diverse (CALD) communities to analyze health and environmental inequalities, has published extensively on social vulnerability and heat-health risk in Australian cities. She is also dedicated to mentoring postgraduate students and fostering interdisciplinary collaboration.", "public_name": "Qian (Chayn) Sun", "guid": "4d58e6b9-804f-5bbd-94b1-81e8603f14c9", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/778BEK/"}, {"code": "NXD7PX", "name": "Ryan Turner", "avatar": "https://talks.staging.osgeo.org/media/avatars/ryan-profile-1000x1000_N7ZJO7T.jpg", "biography": "Ryan Turner is a PhD student in Geospatial Science at RMIT University and a Research Assistant at the Centre for Urban Research (CUR) at RMIT University who develops digital interactive tools using various remote sensing and geospatial technologies.\r\n\r\nRyan's PhD research focuses on the development of a Global Urban Heat Vulnerability Index (GUHVI) which applies geospatial theory to unveil inequities in heat vulnerability at a global scale. This research addresses the ever increasing presence of heat on human populations by developing a framework to align and coordinate efforts to effectively respond to heat and reduce inequities for more equitable cities worldwide.\r\n\r\nAt CUR, he is currently developing an online interactive tool that combines agent-based modelling outputs with cycling infrastructure scenarios to quantify active travel investment in partnership with the Victorian Department of Transport and Planning and the City of Greater Bendigo. Also at CUR, Ryan has been involved in developing spatial indicators of large public green space and urban heat vulnerability for the Global Observatory of Healthy and Sustainable Cities. His research outputs involved international author teams to deliver well-designed and accessible outcomes at both the local and global scale.", "public_name": "Ryan Turner", "guid": "71f849b0-4a26-5e39-88a7-61024d040b0a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NXD7PX/"}, {"code": "CHVFGR", "name": "Wenhui CAI", "avatar": null, "biography": null, "public_name": "Wenhui CAI", "guid": "86234ef0-4be1-555f-a32c-ba2a33e8fe86", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/CHVFGR/"}, {"code": "C93X8M", "name": "Shinjita Das", "avatar": null, "biography": null, "public_name": "Shinjita Das", "guid": "1ce1fffe-34bb-5568-bfb0-d4b5fd36a354", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/C93X8M/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7Z3DTA/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7Z3DTA/", "attachments": []}, {"guid": "eb10bf12-0bf4-51bb-b3e1-599808287f77", "code": "MVXVTC", "id": 4241, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/MVXVTC/farm_JTk7Baf.jpg", "date": "2025-11-20T16:30:00+13:00", "start": "16:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4241-ploughing-the-digital-field-redefining-farming-with-customer-centric-digital-design", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MVXVTC/", "title": "Ploughing the Digital field: Redefining farming with Customer-Centric Digital Design", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "In the rapidly evolving world of agriculture, the integration of digital technology has become imperative for advancing productivity, sustainability, and customer satisfaction. Join us to discover how placing farmers at the heart of digital innovation is revolutionizing agriculture, making it more responsive, efficient, and sustainable.", "description": "In the rapidly evolving world of agriculture, the integration of digital technology has become imperative for advancing productivity, sustainability, and customer satisfaction. Join us to discover how placing farmers at the heart of digital innovation is revolutionizing agriculture, making it more responsive, efficient, and sustainable.\r\n\r\nOur presentation will show how customer-centric design principles can be applied to create digital mapping solutions that directly address the challenges faced by farmers. By prioritising the end-user experience, we've ensured that the tools are not only effective, but also intuitive and accessible for end users with varying levels of digital literacy.\r\n\r\nWe will explain the journey we went through to identify and analyse the specific pain points and requirements of farmers, to both provide solutions to their needs, and drive towards a leading, simple customer experience.\r\n\r\nThe session will also provide insights into how we blended proprietary GIS capabilities with open-source technologies to deliver a seamless, customer-focused experience. We\u2019ll discuss how we integrated ESRI Maps technology within a React web application, incorporated ArcGIS Enterprise, and implemented performance and error monitoring to support a stable, responsive user experience.\r\n\r\nWe found that by focusing on the real needs and challenges of farmers, we can create digital solutions that are not only technologically advanced but also practical, user-friendly, and capable of delivering tangible benefits in terms of efficiency, productivity, and sustainability.", "recording_license": "", "do_not_record": true, "persons": [{"code": "LLDHRA", "name": "Jamie Sherriff", "avatar": "https://talks.staging.osgeo.org/media/avatars/Jamie_Grey_High_XEZVQ9d.jpg", "biography": "Jamie leads\u00a0Abley\u2019s software development team, helping\u00a0organisations harness geospatial and software technology to make smarter decisions", "public_name": "Jamie Sherriff", "guid": "4db3e410-3894-5799-9796-fd7571d1d877", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LLDHRA/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MVXVTC/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MVXVTC/", "attachments": []}], "WG404": [{"guid": "700e19bc-9d27-59d4-aecb-e2ed5d1151ce", "code": "88WPNL", "id": 4266, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/88WPNL/client-field_ZILjF08.png", "date": "2025-11-20T09:00:00+13:00", "start": "09:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4266-digiagriapp-development-of-a-free-and-open-source-app-for-digital-agriculture", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/88WPNL/", "title": "DigiAgriApp: development of a free and open source app for digital agriculture", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "**DigiAgriApp** is a multilingual, open-source platform for precision agriculture, supporting field monitoring down to individual plants. In 2025, there are several new innovations at the software level, but especially for the new public servers.", "description": "**DigiAgriApp** is a free and open-source client-server application built on PostgreSQL/PostGIS, Django (backend), and Flutter (frontend), with an integrated QGIS plugin. The development was started and carried out by the Digital Agriculture Unit of the Fondazione Edmund Mach with the support of a small number of companies. Over the past year, the platform has consolidated its architecture and expanded its features to better support precision agriculture.\r\n\r\nIts primary focus is the monitoring of agricultural fields and its sub-elements: subfields, rows, until individual plants. A major advancement was the integration of the Pest Patrol module, which leverages computer vision algorithms to automatically analyze images from chromotropic traps and identify insect vectors such as Scaphoideus titanus and Orientus ishidae. This sets the stage for a robust decision support system for pest and disease management.\r\n\r\nIn addition to ongoing development work, significant efforts were made toward multilingual support\u2014DigiAgriApp is now fully available in four languages\u2014and in project outreach, seeking collaborators and institutions interested in adopting or contributing to the platform.\r\n\r\nA major milestone in 2025 has been the launch of two public instances of the DigiAgriApp server, both released with the support of the Fondazione Edmund Mach. One instance, in Italian (https://digiagriapp.fmach.it), is tailored to viticulture and fruit production. The second, in English (https://digiagriapp-en.fmach.it), offers broader crop support and allows the addition of new species. These public instances are limited in functionality, as they currently do not provide access to remote sensing or weather station data.", "recording_license": "", "do_not_record": false, "persons": [{"code": "SQ7UJS", "name": "Luca Delucchi", "avatar": "https://talks.staging.osgeo.org/media/avatars/luca_delucchi_color_eysAF5p.jpeg", "biography": "Luca is an *OSGeo and OSM contributor and advocate*. He graduated in Geography applied to the environment, landscape and tourism from University of Genoa (Italy) in 2008. Since the same year he work at Fondazione Edmund Mach, a research center near Trento. \r\n\r\nHe is interested in all features about GIS: desktop, web, geodatabase, developing and geodata. Right now he is working on a multiplatform server and client application to monitor agricultural fields named **DigiAgriApp**. He contribute to GRASS GIS, OSGeoLive, QGIS, and ZOO-Project projects, he is also the main developer of pyModis library.\r\n\r\nHe is active in the Italian community, GFOSS.it and he was the chair of the successful FOSS4G 2022 held in Florence", "public_name": "Luca Delucchi", "guid": "4927032e-e770-5a11-88b6-a3efdeefbbdd", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/SQ7UJS/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/88WPNL/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/88WPNL/", "attachments": []}, {"guid": "8b4706d7-9dd7-5eac-ae93-19a6d4c7916d", "code": "M8UM98", "id": 4425, "logo": null, "date": "2025-11-20T09:30:00+13:00", "start": "09:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4425-building-an-ocean-data-ingestion-and-discovery-system-with-open-source-software", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/M8UM98/", "title": "Building an Ocean Data Ingestion and Discovery system with Open Source Software", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "The Australian Ocean Data Network has built a system to ingest ocean data and make it discoverable to end users. This talk will demo the system and look at the open source technologies, emerging and traditional, that we've used to make it secure, scalable and adaptable.", "description": "The new Australian Ocean Data Network system which has been built over the last three years uses a host of open source technologies including:\r\n- Elastic Search and Geonetwork for metadata management and search\r\n- Zarr, Parquet and NetCDF for data storage and retrieval\r\n- Prefect and dask for data ingestion and optimisation pipelines\r\n- Terraform for infrastructure management\r\n- SpringBoot and FastAPI for backend apis following modern OGC standards\r\n- React for frontends\r\n- Jupyter Notebooks for data access tutorials for advanced users\r\n\r\nOur open data discovery portal launches in November 2025.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BYCFGC", "name": "Alex McKeown", "avatar": null, "biography": "Alex McKeown is the solution architect for the Australian Ocean Data Network at the Integrated Marine Observing System. He has given conference talks at eResearch Australasia, Foss4G SOTM Oceania, and Locate. He was previously a software engineer and DevOps engineer and has been working with geospatial information systems for over 15 years.", "public_name": "Alex McKeown", "guid": "226ff0df-abb7-5d26-84e4-4eabda25914e", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BYCFGC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/M8UM98/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/M8UM98/", "attachments": []}, {"guid": "04c3d8b1-0679-56ab-ae20-7738e45096f0", "code": "HA8UPS", "id": 4699, "logo": null, "date": "2025-11-20T10:00:00+13:00", "start": "10:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4699-surveys-for-infrastructure-resilience-and-geospatial-exposure-applying-open-source-tools-and-methods-in-the-pacific", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HA8UPS/", "title": "Surveys for Infrastructure Resilience and Geospatial Exposure: Applying Open-Source Tools and Methods in the Pacific.", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "This presentation shares how open-source mapping tools were used to collect data on buildings and infrastructure in Kiribati, Tonga, and Vanuatu. The data helps governments understand which areas are most at risk from disasters like cyclones and floods, and supports better planning for safer, stronger infrastructure.", "description": "This presentation will showcase the innovative application of open-source geospatial and participatory methods in the \"National surveys for infrastructure resilience geospatial databases to support exposure and hazard modelling for Kiribati, Vanuatu, and Tonga\" project. This project addresses urgent needs in the Pacific, in terms of the lack of comprehensive, up-to-date data on buildings, roads, and critical infrastructure, and the need for robust hazard and exposure models to inform disaster risk reduction and climate adaptation.\r\n\r\nThrough extensive field surveys, local teams from various government ministries were trained and supported by SPC, with the assistance of existing technical staff in the country, to collect detailed geotagged data on infrastructure assets, buildings, and information on roads, bridges, and utilities. These datasets are validated, cleaned, and uploaded to the country level or regional open-source geodatabases, ensuring accessibility and long-term sustainability.\r\n\r\nOpen-source tools, including QGIS, QField, and Kobo Toolbox, were utilized for data collection. The approach emphasizes capacity building, with a strong focus on gender equality and social inclusion. The data collected and the results of the geospatial databases and hazard models (for cyclone, floods, sea-level-rise) directly support the government in planning resilient infrastructure, developing early warning systems, and advocating for loss and damage funding.\r\nBy leveraging open-source methods, the project promotes sustainable, scalable, and locally adaptable approaches to resilience planning in the Pacific.", "recording_license": "", "do_not_record": false, "persons": [{"code": "TCNMTB", "name": "Merelita Lewabete", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_5557_FwRHbNu.JPG", "biography": "I am a Technical Assistant at the Pacific Community - SPC, based in Suva, Fiji, with a background in Geospatial Science. My work involves supporting regional initiatives that utilize geospatial data to strengthen infrastructure resilience and disaster risk management across Pacific Island countries. I contribute to the development and maintenance of geospatial databases, assist in national surveys, and collaborate with technical teams to ensure accurate data collection and analysis. My role is particularly focused on enhancing exposure and hazard modelling capabilities for countries such as Kiribati, Vanuatu, and Tonga.", "public_name": "Merelita Lewabete", "guid": "b2b5ee84-c6f7-5f0e-abe9-68a8636d55e8", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/TCNMTB/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HA8UPS/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HA8UPS/", "attachments": []}, {"guid": "34ba7835-10e3-50b4-864d-a0dbc49536f7", "code": "QTSDAP", "id": 4302, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/QTSDAP/IMG_2998_1_AocGy2m.jpg", "date": "2025-11-20T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4302-research-on-the-display-of-ultra-large-point-cloud-data-using-a-3dwebgis-distributed-rendering-system", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QTSDAP/", "title": "Research on the Display of Ultra-Large Point Cloud Data Using a 3DWebGIS Distributed Rendering System", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "We introduce a method for displaying global point cloud data using the open-source, scalable display system ChOWDER, which distributes rendering of 3DWebGIS across multiple web browsers. We discuss current challenges, such as rendering artifacts arising from the conversion of Earth-scale data.", "description": "Introduction\r\n\r\nRecently, many software applications have transitioned to cloud-based platforms, with web browsers serving as the primary user interface. In the field of geographic information, 3DWebGIS applications have also gained widespread adoption in both commercial and open-source software, thanks to the ease of 3D rendering on browsers using WebGL. However, web browsers have limitations on the heap memory available to user programs, which can cause instability or crashes when rendering large-scale 3D data that consumes a significant amount of memory. The scalable display system we propose, ChOWDER, enables the distributed rendering of 3DWebGIS across multiple displays (web browsers) by utilizing iTowns [1], an open-source 3D WebGIS as middleware. This mechanism breaks through the heap memory limit of web browsers, offering the advantage of ultra-high-resolution display. The method for distributing and rendering a massive amount of 3DTiles-format building polygon data across a tiled display composed of nine 4K displays using ChOWDER, along with its actual memory consumption distribution performance, was reported at FOSS4G ASIA 2024 [2]. In this presentation, we introduce a method for converting cloud data captured by the weather satellite over the Pacific Ocean into approximately 500 million 3DTiles-format 3D point cloud data and then distributing and rendering this data at ultra-high resolution across multiple displays (browsers) using ChOWDER. Additionally, we discuss the current challenges that arise from unnatural artifacts in rendering for earth-sized point clouds and propose solutions for this approach.\r\n\r\nProposed method\r\n\r\nJapan's weather satellite HIMAWARI uses multiple optical sensors to capture images of half of the globe, centered on the Asia-Oceania region, at 10-minute intervals. The grid data, which has undergone precise geometric correction, is publicly available from the Solar Radiation Consortium [3]. The publicly available grid data includes not only raw data but also calculated data such as cloud top height and cloud thickness, derived from the raw data. Using these, we define voxels within each grid, with the cloud top height as the maximum height and the height obtained by subtracting the cloud thickness from the cloud top height as the minimum height, by randomly generating multiple points within these voxels, we represent the 2D observation data as 3D cloud shapes in point cloud data. This converter program was developed as an open-source program distributed on GitHub [4]. The generated point cloud data is converted to a binary LAS format using txt2las in LAStools [5] and then converted to 3DTiles using py3dtiles [6]. In this study, satellite-captured data at 00:00 UTC on October 10, 2019, were used. The generated 3DTiles data has an 8-level octree structure, with a total data size of approximately 6.1 GB. This data is of a size that can be visualized using standard 3DWebGIS such as CesiumJS. However, when displaying the entire area on a browser in a standard desktop environment, i.e., a display with a maximum resolution of approximately 4K, the point cloud is displayed with coarse granularity. To observe the detailed structure of the clouds, it is necessary to zoom in, making it impossible to view the entire area and observe details simultaneously. However, by using ChOWDER, it is possible to distribute the rendering of a 3DWebGIS across multiple displays (browsers), enabling ultra-high-resolution display that cannot be achieved on a single display. An example of the display is shown in Figure 1 (https://github.com/SIPupstreamDesign/ChOWDER/blob/master/IMG_2998.jpg).\r\n\r\nChallenges and Discussion\r\n\r\nWhen visualizing this data, triangular artifacts are observed, as shown in Figure 2 (https://github.com/SIPupstreamDesign/ChOWDER/blob/master/IMG_2995.jpg). This is due to the following reasons. The primary reason is that the coordinate system of the generated point cloud is a Cartesian coordinate system with the Earth's center as the origin. Since the point cloud covers nearly half of the Earth's surface, converting it into 3DTiles in a single batch results in bounding voxels that encompass approximately half of the Earth's surface. When this is divided into an Octree structure, the voxels are split along orthogonal coordinate axes. This results in triangular-shaped intersections between the split voxels and the Earth's surface at certain locations.\r\nAdditionally, in 3DWebGIS, there is a phenomenon where tiles corresponding to the zoom level to be displayed do not render for some reason. A similar issue occurs with 3DTiles data, and in this case, it manifests as triangular-shaped areas. Typically, 3DTiles are generated for relatively limited areas, and the geographical coordinate system is used, so the bounding voxels follow the shape of the Earth's surface. Even if rendering artifacts occur, they do not appear. Based on the above considerations, when converting Earth-scale data, such as the cloud data in this study, to 3DTiles, it is expected that applying the method of pre-dividing the data into multiple regions using the geographical coordinate system and performing 3DTiles conversion for each region can suppress the occurrence of unnatural artifacts.\r\n\r\nFuture work\r\n\r\nWe will verify whether the method proposed in the previous section, which involves pre-dividing the area during 3DTiles generation, can suppress the occurrence of unnatural artifacts. Additionally, while we currently estimate the 3D structure of clouds based on 2D observation data, the next-generation weather satellite is expected to provide 3D observation data from an infrared sounder, enabling a scientifically accurate, high-resolution display of 3D structures.\r\n\r\nReferences\r\n\r\n[1] iTowns, providing 3D geospatial data management and visualization software: https://github.com/iTowns\r\n[2] KAWANABE, T., et al. On the Performance of Distributed Rendering System for 3DWebGIS Application on Ultra-High-Resolution Display. International Journal of Geoinformatics, 2025, 21.1: 15-25.\r\n[3] HIMAWARI 8/9 gridded full-disk (FD)data Version 02 (V20190123) release note: https://www.cr.chiba-u.jp/databases/GEO/H8_9/FD/index_en_V20190123.html\r\n[4] Point cloud converter program: https://github.com/SIPupstreamDesign/ChOWDER/blob/master/server/parser/amaterass_convert_test.js\r\n[5] LAStools: https://lastools.github.io/\r\n[6] py3dtiles: https://py3dtiles.org/", "recording_license": "", "do_not_record": false, "persons": [{"code": "8VV8EN", "name": "Tomohiro KAWANABE", "avatar": "https://talks.staging.osgeo.org/media/avatars/%E5%B7%9D%E9%8D%8B%E5%86%99%E7%9C%9F_lJXBOC4.jpg", "biography": "Tomohiro Kawanabe is a Senior Technical Scientist at the RIKEN Center for Computational Science.\r\nHis main research areas are HPC workflows and large-scale visualization.", "public_name": "Tomohiro KAWANABE", "guid": "54622a29-8d19-5c91-9e26-d20a5b3ba658", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8VV8EN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QTSDAP/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QTSDAP/", "attachments": []}, {"guid": "537a7206-c4fe-5377-92b2-5f6025cb3f1c", "code": "KZPVUC", "id": 4682, "logo": null, "date": "2025-11-20T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4682-icechunk-2-0", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KZPVUC/", "title": "Icechunk 2.0", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "[Icechunk 2.0](https://icechunk.io/) is a transactional, cloud-native storage engine for [Zarr](https://zarr.dev/). This talk introduces powerful new features for transactionally managing massive geospatial arrays, including efficient appends/inserts.", "description": "[Icechunk](https://icechunk.io/) is an open-source, cloud-native transactional storage engine for multi-dimensional arrays, designed to manage massive geospatial datasets. Building upon the foundational features of data versioning and schema evolution presented in its first iteration, Icechunk 2.0 introduces a more stable and performant on-disk format that unlocks powerful new capabilities for managing large-scale array data. This presentation will introduce the new features of Icechunk 2.0 and demonstrate their application to common challenges in geospatial data analysis.\r\n\r\nManaging petabyte-scale geospatial data, such as satellite imagery time-series, gridded weather forecasts, and climate model outputs, requires tools that can handle evolving data and complex operational pipelines efficiently. Icechunk 2.0 directly addresses these needs with several key innovations:\r\n\r\n- **Efficient Array Manipulation:** A new indexing capability allows for cheap appends, prepends, and inserts into an array without rewriting existing data chunks. This is transformative for managing growing time-series datasets.\r\n- **Flexible Data Organization:** Users can now rename or move arrays and groups within the [Zarr](https://zarr.dev/) hierarchy without costly data duplication, simplifying the curation and organization of large data repositories.\r\n- **Enhanced Data Governance:** The introduction of an amendable commit option simplifies the version history, while a comprehensive operation log and support for repository-level metadata provide crucial data provenance.\r\n- **Improved Performance and Stability:** The new format enables significantly faster and safer garbage collection and more efficient queries of a repository\u2019s history.\r\n\r\nWe will demonstrate how Icechunk 2.0 integrates seamlessly into the Scientific Python ecosystem ([Xarray](https://xarray.dev/), [Dask](https://www.dask.org/)) via its Zarr store interface and how we have built Icechunk support into the managed [Earthmover platform](https://earthmover.io/platform). Through real-world examples, we will showcase how these new features can be used to build robust, high-performance data pipelines for cloud-based geospatial analytics and machine learning.", "recording_license": "", "do_not_record": false, "persons": [{"code": "GRTNAP", "name": "Joe Hamman", "avatar": "https://talks.staging.osgeo.org/media/avatars/joe-hamman_ZcdzqWu.png", "biography": "Joe is a climate scientist and civil engineer hailing from the Arizona desert. After a stint as a mountain guide on Denali, Joe launched a scientific career in hydroclimate modeling with a PhD from the University of Washington. After working as a scientist at NCAR, he co-founded CarbonPlan, an open-science climate research and policy think tank. He left CarbonPlan to start Earthmover to focus on the software and data infrastructure challenges at the core of climate science.", "public_name": "Joe Hamman", "guid": "fefb5d4f-ab7e-5ef3-a35b-1e5050d7c345", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GRTNAP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KZPVUC/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KZPVUC/", "attachments": []}, {"guid": "5cf0b864-e3b9-5603-af1b-5ee84c2e006b", "code": "WLGPSY", "id": 4536, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/WLGPSY/20250718-140945_sz6GxbH.png", "date": "2025-11-20T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4536-ugrid-and-you-an-unstructured-journey", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WLGPSY/", "title": "UGRID and you - an unstructured journey", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Showcasing regional ocean model outputs, this talk will focus on structuring analysis-ready data using the unstructured grid (UGRID) standard, our successes (and failures) in our CSIRO team using Xarray and QGIS for these tasks, and improving the uptake of these standards in the FOSS community.", "description": "Not for academic track.", "recording_license": "", "do_not_record": false, "persons": [{"code": "CLNQZS", "name": "Bryan Hally", "avatar": "https://talks.staging.osgeo.org/media/avatars/image_vcP1pIP.jpeg", "biography": "Bryan is a Senior Experimental Scientist working in the Coastal Extremes Modelling and Projection team at CSIRO. With a spatial career starting in surveying, he has worked in numerous fields including earth observation and point cloud modelling, with his current role involving the management and organisation of forcing data for ocean modelling and processing of model outputs.", "public_name": "Bryan Hally", "guid": "002c8f0b-b255-5203-a95c-8d5644477463", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/CLNQZS/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WLGPSY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WLGPSY/", "attachments": []}, {"guid": "0dcada44-c6d1-5985-bf48-0ace431362cc", "code": "ETJADY", "id": 4398, "logo": null, "date": "2025-11-20T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4398-knowledge-sharing-and-boundary-conditions-within-the-virtual-community-an-examination-of-free-and-open-source-communities", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ETJADY/", "title": "Knowledge sharing and boundary conditions within the virtual community: an examination of free and open-source communities", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "This study examines knowledge-sharing practices among professionals in the free and open-source software community. It emphasizes the concept of knowledge community by applying Bona Fide Group Theory, and explores the mechanism of knowledge sharing across boundaries from a cross-cultural perspective.", "description": "Introduction\r\n\r\nThe purpose of this paper is to examine knowledge-sharing practices among professionals in the free and open-source software community. It emphasizes the concept of knowledge community by applying Bona Fide Group Theory, and explores the mechanism of knowledge sharing across boundaries within the community. Following a cross-cultural perspective, this research identified several key contextual and social factors that influence knowledge sharing and community development within the FOSS4G community.\r\n\r\nTheoretical framework\r\n\r\nThis research project adopts the Bona Fide Groups Theory (Putnam & Stohl, 1990) which features two elements of small groups, including permeable boundaries and group interdependence within its contexts. It provided a framework for understanding the interactions and collaborations within naturally formed groups with special characteristics, such as fluctuations in group member commitment and a shared sense of boundaries (Putnam & Stohl, 1996; Frey, 2003; Stohl & Putnam, 2005). \r\n\r\nBuilt upon this framework, this research delineates the mechanism of knowledge sharing and how the knowledge transfer practices impact member identification within the free and open-source community. Particularly, it examines the impact of recent advancements in AI technology on daily communication and collaboration within the community, and further explains the interdependence within this shared context (Galanes, 2003). This research provides empirical data to advance the current understanding of bona fide groups by examining novel boundary features defined by the advancement of AI technologies within the free and open-source community. \r\n\r\nMethodology\r\n\r\nThe authors conducted 30 semi-structured, in-depth interviews with professionals working within free and open-source software communities worldwide. The first round of interviews is conducted in face-to-face settings during the Euro Foss4G conference in Mostar, Bosnia and Herzegovina. The second round of interviews are conducted online. Each interview lasts from 60-80 mins. The interview transcripts are analyzed with the software of MAXQDA. Interview questions are asked about the communication and collective experiences of collaborating with working professionals working with free and open-source software for geospatial (Foss4G) technologies. Particularly, the individual motives and collaboration experiences from the cross-cultural perspectives are examined. Questions around the impact of recent advancements in AI technologies on virtual work collaboration and community building are explored. Further, interviewees were also asked to describe their experiences in the free and open-source community and how their personal experiences impacted their perception of community and community culture.  \r\n\r\nFindings and results \r\n\r\nThe research results contribute to the literature on knowledge transfer and, in particular, to our understanding of boundary conditions and knowledge transfer approaches in virtual communities. The results highlight several contextual and social factors which impact knowledge sharing across the boundary in the context of free and open-source communities.\r\n\r\n\r\nThe findings explain the mechanisms of the shared sense of boundary and the impact of contextual and social factors that impact knowledge transfer in free and open-source communities from a cross-cultural perspective, which has not been thoroughly studied due to its unique nature and emerging complexity. It offers fresh insights looking into task interdependence with a virtual community shaped by the advancement of AI technology. The research findings also lend further support to understanding the motivates and commitment of members within the community and how their commitment impacts the personal perceptions of permeate boundaries within the community, as well as the impact on task interdependence and knowledge-sharing practices within the free and open-source community. \r\n\r\nPractical implication and future studies \r\n\r\nThis research offers several important practical implications for professionals in free and open-source community work. First, it highlights the important communication mechanism and its impact on members\u2019 commitment and identification within the community. Understanding this mechanism will contribute to developing better commitment of members within the free and open-source community. Second, it suggests the need to establish an effective process with communication tools to accommodate the novelty of boundaries, particularly from a cross-cultural perspective. Third, the understanding of permeate boundaries helps community members to better collaborate and engage in knowledge-sharing practices and collectively contribute to the community culture. Last but not least, it also suggests community leaders to better maintain and monitor the interactions within the community and embrace a positive community culture. For future studies, researchers could adopt different data collection approaches to examine the interaction patterns of knowledge sharing within free and open-source communities, such as a survey.\r\n\r\nReferences\r\n\r\nFrey, L. R. (2003). Group communication in context: Studies of bona fide groups. Mahwah, New \r\nJersey: Lawrence Erlbaum Associates, Publishers. ISBN 0805831495.\r\nGalanes, G. J. (2003). In their own words: An exploratory study of bona fide group leaders. \r\nSmall Group Research, 34(6), 741-770.\r\nPutnam, L.& Stohl, C. (1990). Bona fide groups: A reconceptualization of groups in context. \r\nCommunication Studies.41(3):248\u2013265.doi:10.1080/10510979009368307.\r\nPutnam, L. & Stohl, C (1996). Bona fide groups: An alternative perspective for communication \r\nand small group decision making. In Randy Y. Hirokawa; Marshall Scott Poole (eds.). Communication and group decision making (2nd ed.). Thousand Oaks, Calif: SAGE Publications. pp. 147\u2013178. ISBN 0761904611.\r\nStohl, C., & Putnam, L. L. (2005). Communication in bona fide groups: A retrospective and \r\nprospective account. In Group Communication in Context (pp. 399-414). Routledge.", "recording_license": "", "do_not_record": false, "persons": [{"code": "7BVNCJ", "name": "Juana Du", "avatar": null, "biography": "Professor, School of Business, Royal Roads University, Victoria, British Columbia, Canada", "public_name": "Juana Du", "guid": "c73c35fa-ccec-5f3a-8f1f-7d10a921ca0d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7BVNCJ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ETJADY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ETJADY/", "attachments": []}, {"guid": "1a1b5d9d-d08f-5a32-866b-738fa5ce498a", "code": "EUNJRT", "id": 4181, "logo": null, "date": "2025-11-20T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4181-centering-communities-in-early-action-local-knowledge-open-data-and-osm-in-practice", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EUNJRT/", "title": "Centering Communities in Early Action Local Knowledge: Open Data, and OSM in Practice", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "Behind every early warning system is a community that knows where it floods, who is at risk, and how to respond. This session shows how OMDTZ uses OSM and open tools to empower youth, elders, and leaders, placing them at the center of anticipatory action and transforming vulnerability into resilience.", "description": "Dar es Salaam is a region where urban flooding disproportionately affects informal settlements. The power to act early often lies not with technology, but with people.\r\nThis talk showcases how OpenMap Development Tanzania (OMDTZ) has worked to place communities, not just tools, at the center of anticipatory action. By training and mobilizing youth, local leaders, and elders based on data collection, OMDTZ enabled vulnerable communities to lead flood preparedness efforts from within.\r\nParticipants were trained to use the simple, open tool ODK to map risk prone areas such as blocked drains and report on water level on the river during the rain . But more than just mapping, they became part of the decision making process, identifying: Safe shelters and evacuation paths, Impassable roads during floods, and areas with inadequate drainage or past flood impact through participatory mapping.\r\n\r\n\r\nBeyond the data, this process built a sense of ownership, Local leaders and community participants during the group discussion and training are now ambassadors in their community on why they need to take early action, such as clearing their blocked drains and making sure all trash is collected before the rainy season, to reduce the impact of flooding in their communities \r\nWe\u2019ll share:\r\nThe model for engaging different community groups in anticipatory action\r\n\r\n\r\nLessons from working in both urban and peri-urban settings\r\n\r\n\r\nThe transformation of mappers into advocates and preparedness leaders\r\n\r\n\r\nReal-world action: how local leader in informal  settlements inform their community on early warnings \r\n\r\n\r\nAttendees will walk away with a community first approach to preparedness, useful for any context where local knowledge is rich but formal warning systems are weak.", "recording_license": "", "do_not_record": false, "persons": [{"code": "KLX3S3", "name": "Asha Mustapher", "avatar": "https://talks.staging.osgeo.org/media/avatars/Asha_mustapher_profile_picture_vI7Pfqu.jpeg", "biography": "Asha Mustapher is a Community Engagement Lead at OpenMap Development Tanzania, specializing in community mapping, data collection, capacity building, and partnership using open source tools. She is passionate about empowering communities, training local communities and leaders on technology-driven data collection tools to enhance decision making. Through her work, Asha strives to foster innovation, youth development, and positive community impact.", "public_name": "Asha Mustapher", "guid": "472c3a62-2e20-5349-8250-3d4cfe62e7de", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KLX3S3/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EUNJRT/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EUNJRT/", "attachments": []}, {"guid": "76c7596a-15d9-58da-9b12-776c87e9d3b5", "code": "ZMECUX", "id": 3718, "logo": null, "date": "2025-11-20T15:30:00+13:00", "start": "15:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-3718-pygeometa-project-status", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZMECUX/", "title": "pygeometa project status", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "pygeometa project status presentation.  Come and find out the latest news on the project as well as future plans, and how to get involved!", "description": "pygeometa provides a lightweight and Pythonic approach for users to easily create geospatial metadata in standards-based formats using simple configuration files (affectionately called metadata control files [MCF]). Leveraging the simple but powerful YAML format, pygeometa can generate metadata in numerous standards. Users can also create their own custom metadata formats which can be plugged into pygeometa for custom metadata format output.\r\n\r\nFor developers, pygeometa provides a Pythonic API that allows developers to tightly couple metadata generation within their systems and integrate nicely into metadata production pipelines.\r\n\r\nThe project supports various metadata formats out of the box including ISO 19115, the WMO Core Metadata Profile, and the WIGOS Metadata Standard.\r\n\r\npygeometa has minimal dependencies (install is less than 50 kB), and provides a flexible extension mechanism leveraging the Jinja2 templating system.\r\n\r\nThis presentation will provide an update on recent enhancements, use in high profile projects as well as future plans and roadmap.", "recording_license": "", "do_not_record": false, "persons": [{"code": "H8LVLX", "name": "Tom Kralidis", "avatar": "https://talks.staging.osgeo.org/media/avatars/83c097f0f3c7bcea5f7fb0eaf41b00a5_vB70GlK.jpg", "biography": "Tom Kralidis is with the Meteorological Service of Canada and longtime contributor to FOSS4G. He leads and contributes to numerous projects in the Geopython ecosystem.  He is the 2024 recipient of the Sol Katz Award for Free and Open Source Software for Geospatial (FOSS4G), awarded annually by OSGeo to individuals who have demonstrated leadership in the FOSS4G community.\r\n\r\nTom is the co-chair of the OGC API - Records Standards Working Group, chair of the WMO Expert Team on Metadata, and serves on the OSGeo Board of Directors.  He is the 2024 recipient of the Sol Katz award.", "public_name": "Tom Kralidis", "guid": "9428ef15-62ef-5dd8-b134-61bd98b184f5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/H8LVLX/"}], "links": [{"title": "pygeometa project status", "url": "https://pvgenuchten.github.io/slides/slides/2025-foss4g-pygeometa-project-update.html", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZMECUX/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ZMECUX/", "attachments": []}, {"guid": "524e53cb-8900-5ea1-b180-9039b176b6c9", "code": "BSQLEH", "id": 4378, "logo": null, "date": "2025-11-20T16:00:00+13:00", "start": "16:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4378-a-scalable-open-source-system-for-impervious-land-mapping-using-grass-and-the-python-ecosystem", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BSQLEH/", "title": "A Scalable Open-Source System for Impervious Land Mapping Using GRASS and the Python Ecosystem", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "This paper introduces a scalable open-source system using GRASS, TorchGeo, Python libraries, and HDF5 to map impervious surfaces from orthophotos and Sentinel-2 imagery. Outputs are vectorized, compared with agricultural and forested lands, and analyzed for environmental impacts like soil sealing to support sustainable land management and restoration.", "description": "Introduction\r\nImpervious surface expansion significantly contributes to environmental degradation. Accurate and efficient mapping of these changes is essential in environmental monitoring and spatial analysis. While many tools exist for land cover classification, few provide a fully open-source, scalable solution capable of continuous Sentinel-2 monitoring, ingesting both orthophotos and multispectral data, performing temporal analysis, and supporting integration with spatial databases.\r\nThis paper presents a scalable system for detecting and monitoring impervious land using orthophotos and Sentinel-2 data. The workflow integrates GRASS for spatial processing, HDF5 for high-performance raster storage, and Python-based machine learning libraries for classification and change detection. Sentinel-2 imagery is pulled automatically from the Planetary Computer after publication and classified with TorchGeo using pre-trained backbones fine-tuned on the EuroSAT dataset. The Sentinel-2 time series flags disturbance areas; when very high resolution aerial imagery becomes available the system triggers semantic segmentation there to produce detailed impervious maps. Predicted outputs are postprocessed, vectorized, and stored in spatial database. Results are further compared with ancillary datasets, including agricultural and forested lands, to inform end users of the environmental implications. The system is designed to support rapid prototyping, reproducibility, and high-resolution monitoring across varying spatial and temporal domains. Performance is evaluated using standard classification metrics, and results demonstrate the applicability of this workflow in operational land change detection contexts.\r\n2 Materials and Methods\r\n2.1 Data Sources and Management\r\nThe system ingests multiple raster inputs: Sentinel\u20112 multispectral bands from the Microsoft Planetary Computer for continuous monitoring; very high resolution orthophotos from the Mapping Authority of the Republic of Slovenia with near infrared, red, and green channels at 50 cm, used where the Sentinel\u20112 time series indicates change; reference impervious layers from earlier periods to generate labeled training data and establish baselines for change detection; and ancillary datasets such as agricultural and forest land boundaries for comprehensive environmental assessments.\r\nOrthophotos are preprocessed in GRASS and exported to HDF5. Image features and labels are stored as chunked arrays to enable efficient parallel processing and patch based classification. After classification, prediction maps are imported into GRASS as a space-time raster dataset. Results of time-series analyses are converted to vector layers, and loaded into a PostgreSQL/PostGIS database for downstream operations and integration.\r\n2.2 Machine Learning Pipeline\r\nMachine learning models for the orthophotos are trained using RAPIDS cuML (GPU-accelerated Random Forest) on the HDF5 tiles to produce detailed impervious maps. Sentinel-2 classification uses TorchGeo models with ResNet backbones that are initialised with Sentinel-2 weights provided by TorchGeo and fine-tuned on the EuroSAT dataset; the operational maps are produced by the fine-tuned models over the study area and follow the same land cover class scheme. Inference is executed using joblib. Evaluation metrics (F1 score, accuracy) guide model selection and validation.\r\n2.3 Temporal Analysis\r\nChange detection is performed by comparing Sentinel-2 based land cover prediction maps across years and by maintaining a Sentinel-2 time series in a GRASS space-time raster dataset. The TorchGeo model, fine-tuned on the EuroSAT dataset, provides land cover classes, and the temporal analysis focuses on transitions into highway, industrial and residential classes from other land cover types as indicators of areas with new impervious surfaces. New Sentinel-2 scenes are downloaded automatically after publication, and GRASS spatio-temporal aggregation and change-detection tools are used to derive spatial differences that identify newly developed impervious areas. When new very high resolution orthophotos are available, the system automatically triggers segmentation only over tiles flagged by the Sentinel-2 disturbance signal.\r\n2.4 Postprocessing and Dissemination\r\nPostclassification filtering reduces noise. Cleaned rasters are vectorized and simplified within GRASS. Final geometries are stored in PostGIS, generalized, enriched with auxiliary land cover data, and disseminated as WFS services, enabling spatial queries, external integration, and comparison with land-use data for assessing impacts on soil and potential for restoration.\r\n3 Results and Discussion\r\nThe system was applied to multi-year orthophoto and Sentinel-2 datasets. Continuous Sentinel-2 monitoring produced timely impervious updates. The HDF5-based chunking significantly reduces I/O bottlenecks when performing machine learning tasks. Targeted segmentation of orthophotos over Sentinel-2 disturbance areas improved efficiency while preserving detail. Change maps accurately identified new impervious areas. Vectorized outputs supported further spatial analysis, visualization, and comparative evaluation against agricultural and forested land-use data. WFS dissemination enabled direct use in client applications. These comparisons underscore the importance of monitoring soil sealing and highlight opportunities for targeted land restoration initiatives.\r\n4 Conclusion\r\nThis study demonstrates a reproducible, open-source pipeline for high-resolution impervious land mapping with continuous Sentinel-2 monitoring. Integration of GRASS, HDF5, RAPIDS cuML and TorchGeo enables efficient classification, temporal analysis, event-driven segmentation of orthophotos, spatial output management, and environmental impact assessment. The architecture is adaptable to diverse data sources and modeling approaches, thus suitable for research, operational applications, and informed land management and restoration practices, with outputs shared through WFS services.", "recording_license": "", "do_not_record": false, "persons": [{"code": "EYZCPK", "name": "Alen Mangafi\u0107", "avatar": "https://talks.staging.osgeo.org/media/avatars/PXL_20240616_153027138.PORTRAIT_eQCJzSg.jpg", "biography": "I work at the Geodetic Institute of Slovenia in Ljubljana, contributing to various projects as a Data Scientist, Remote Sensing Analyst, GIS Coordinator, and Specialist. My work primarily revolves around the analysis of multispectral, hyperspectral, and SAR imagery, as well as LiDAR point clouds - but I enjoy tackling data problems of all kinds. I rely heavily on Python, GRASS, GDAL, PDAL, QGIS and PostgreSQL for data torturing and distribution. I love Linux. I currently serve as the secretary of the Slovenian OSGeo Local Chapter.", "public_name": "Alen Mangafi\u0107", "guid": "801d0e78-9b96-58a0-bafc-d97dff4ac4af", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/EYZCPK/"}, {"code": "LVRBRN", "name": "Toma\u017e \u017dagar", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_20190829_203304_dyaRTQz.jpg", "biography": "I\u2019ve been building GIS solutions at the Geodetic Institute of Slovenia for over 15 years, working across the stack on everything from web mapping applications to data processing pipelines. My background is in biomedical engineering, but I found my way into geospatial tech through the field of automation \u2014 and I\u2019ve been streamlining processes and visualizing data ever since.", "public_name": "Toma\u017e \u017dagar", "guid": "3d704848-70d3-5752-9894-644ea9e9f475", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LVRBRN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BSQLEH/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BSQLEH/", "attachments": [{"title": "presentation", "url": "/media/foss4g-2025/submissions/BSQLEH/resources/Impervious_Land_Mapping_iIJnVDt.pdf", "type": "related"}]}, {"guid": "23531447-74a3-5629-a2bf-e4fbd457b348", "code": "JJEYWH", "id": 4522, "logo": null, "date": "2025-11-20T16:30:00+13:00", "start": "16:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4522-from-edits-to-impact-tomtom-s-journey-with-open-communities", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JJEYWH/", "title": "From Edits to Impact - TomTom\u2019s Journey with Open Communities", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "TomTom partners with communities worldwide to build richer maps through collective action. In this FOSS4G session, we share how we support university mapathons, YouthMappers, and humanitarian mapping in 189 countries, reflecting on learnings and challenges in scaling community engagement while advancing OSM\u2019s mission through meaningful, local partnerships.", "description": "TomTom and the Open Map Community share a common vision: building a map that reflects and serves the world, powered by local knowledge and collective action. In this session, We will be taking you behind the scenes of TomTom\u2019s partnerships with OSM communities worldwide, demonstrating how collaborative efforts are strengthening the quality, freshness, and inclusiveness of OpenStreetMap data.\r\nFrom hosting mapathons with universities and YouthMappers chapters to supporting humanitarian mapping during crises, TomTom\u2019s initiatives have connected 3,397+ OSM contributors across 189 countries. We will share real examples of how these collaborations are transforming local mapping ecosystems while providing technical resources, training, and data that support contributors in making impactful edits.\r\nThe session will also cover learnings on We will also discuss scaling corporate-community collaborations responsibly, challenges faced in diverse regions, and opportunities for co-creating projects that benefit both OSM and local communities. Participants will leave with ideas and inspiration on how to replicate or adapt these approaches to engage more mappers, foster skill-building, and deepen OSM\u2019s reach.\r\nJoin us to discover how mapping together can empower communities and create a richer, more inclusive map of the world.", "recording_license": "", "do_not_record": false, "persons": [{"code": "9X9RNG", "name": "Natasha Klinghardt", "avatar": null, "biography": "Natasha Klinghardt is the Sourcing Manager of the East Asia Pacific region at TomTom, where she is involved in co-organising OSM engagement and community-building across this region. Passionate about open data, FOSS, and humanitarian mapping, Natasha actively supports mapping and quality challenges while empowering communities to contribute to OSM.\r\n\r\nShe helps coordinate impactful mapping parties, field data collection, and collaborations with Open Mapping Communities in Australia, Indonesia, New Zealand, Singapore, South Korea, Taiwan, and Thailand. Fostering vibrant local ecosystems and advancing the mission of open mapping.\r\n\r\nOriginally from South Africa, Natasha enjoys cartography, loves supporting new mappers and hands-on mapping with iD on OSM.  She believes it will take the world to map the world and believes in empowering communities in Geospatial skills to make a difference in their lives.", "public_name": "Natasha Klinghardt", "guid": "a0c6396b-a37d-5c9f-aefa-515d446d1483", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/9X9RNG/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JJEYWH/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JJEYWH/", "attachments": []}], "WG802": [{"guid": "8a892df0-94a3-5a67-aca8-db6381479371", "code": "98KXXL", "id": 4202, "logo": null, "date": "2025-11-20T09:00:00+13:00", "start": "09:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4202-embracing-cloud-native-geospatial", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/98KXXL/", "title": "Embracing Cloud-Native Geospatial", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Learn the basics of what it means to have cloud-native geospatial infrastructure, and explore how you can convert your existing data architectures to be more performant with less cost.", "description": "Cloud-native geospatial represents a paradigm shift in how organizations handle location-based data and spatial analytics. This modern approach combines the power of cloud computing with geospatial technologies to create scalable, efficient, and cost-effective solutions.\r\n\r\nThis session will be an introduction to what it means to be \"cloud-native\".  Key components of cloud-native geospatial include storage solutions, compute services, analytics capabilities, and visualization. \r\n\r\nThe benefits of this approach include:\r\n- Bring compute to the data, not the other way around\r\n- Scalability to handle varying workloads\r\n- Pay-as-you-go pricing model\r\n- Reduced infrastructure management overhead\r\n- Global availability and low latency\r\n- Built-in security and compliance features", "recording_license": "", "do_not_record": false, "persons": [{"code": "WF3LR8", "name": "Dave Bianco", "avatar": null, "biography": null, "public_name": "Dave Bianco", "guid": "6adf7645-5106-5d53-ba94-ff3641f3b263", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/WF3LR8/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/98KXXL/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/98KXXL/", "attachments": []}, {"guid": "9d3a14dd-f0cf-52b4-b45d-1d253d533751", "code": "JGH8PK", "id": 4346, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/JGH8PK/mapweaver-app_0EdaLdF.png", "date": "2025-11-20T09:30:00+13:00", "start": "09:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4346-weavingspace-a-new-way-to-make-multivariate-maps", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JGH8PK/", "title": "Weavingspace: a new way to make multivariate maps", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "The weavingspace python module enables creation of thematic maps using periodic tilings to produce attractive maps that weave together many data attributes in a single map display.", "description": "The weavingspace python module enables creation of multivariate thematic maps by generating and overlaying a periodic tiling layer with polygon data. Geometries in the tiling symbolise data by choropleth colouring. Well over one hundred tiled patterns are supported, including a highly configurable tilings that give the appearance of biaxial or triaxial woven materials. Complex tilings with as many as twenty distinct elements yield maps with textures that convey combinations of attribute values as textures, while maps with up to around eight elements make it possible to read maps with that number of variables simultaneously. In this presentation I will discuss the motivation for this work, challenges in implementation, and also present a web app that allows code-free creation of such maps.", "recording_license": "", "do_not_record": true, "persons": [{"code": "JR88QA", "name": "David O'Sullivan", "avatar": "https://talks.staging.osgeo.org/media/avatars/square-photo_NmLqILj.jpg", "biography": "Before going solo as a consultant I was an academic for over 25 years, researching and teaching GIS, spatial analysis, spatial modelling, and spatial simulation. I have written three books, dozens of papers and book chapters, and remain involved with the academic world on funded research projects as an honorary professor at University of Auckland. I offer consulting services in my areas of expertise, operating under the name Geospatial Stuff... because that's what I do!", "public_name": "David O'Sullivan", "guid": "1cdee9a5-8349-5e51-8f54-ace853a7bf6e", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/JR88QA/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JGH8PK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JGH8PK/", "attachments": []}, {"guid": "3c5494c0-4400-5435-af41-9d2a0a5892ff", "code": "PDXQ7A", "id": 4213, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/PDXQ7A/Screenshot_from_2025-09-17_15-26-23_WUvSNI1.png", "date": "2025-11-20T10:00:00+13:00", "start": "10:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4213-pgrouting-feature-frenzy", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PDXQ7A/", "title": "pgRouting feature frenzy", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "Feature frenzy of 10 years of pgRouting evolution: On 2013 with the new version 2.0 there were only 11 graph functions, now after 12 years we have 89 functions and a grand total of  222 different signatures, when variations or overloads of the functions are considered.", "description": "We will cover:\r\n- What is pgRouting?\r\n- Where can pgRouting be used?\r\n- pgRouting function classification.\r\n- Frenzy of pgRouting features from A to Z", "recording_license": "", "do_not_record": false, "persons": [{"code": "DUUVVD", "name": "Vicky Vergara", "avatar": "https://talks.staging.osgeo.org/media/avatars/30d07ab4c5a21860824dcb1fcf0d1313_Geucnfi.jpg", "biography": "I am an Economist and Computer Scientist, pgRouting fan and developer.\r\n\r\nOpen Source Software advocate.\r\n\r\n* pgRouting project leader and developer since 2013 Including the subproducts:\r\n  * pgRouting,\r\n  * pgRoutingLayers,\r\n  * osm2pgRouting.\r\n* Google Summer of Code mentor since 2015\r\n* FOSS4G speaker since 2015\r\n* PSC member of OSGeoLive\r\n* Currently member of the Board of Directors of the OSGeo Foundation.", "public_name": "Vicky Vergara", "guid": "bd0eba48-aba6-505b-90ab-a3e30b7365ae", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/DUUVVD/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PDXQ7A/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PDXQ7A/", "attachments": []}, {"guid": "e84e1d60-3a8e-586d-8a5f-154e1f9b565f", "code": "ASNWTC", "id": 4185, "logo": null, "date": "2025-11-20T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4185-state-of-stapi-a-community-tasking-standard", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ASNWTC/", "title": "State of STAPI: A community tasking standard", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "Explore STAPI, a specification for a Sensor Tasking API. We\u2019ll highlight recent developments, showcase the open-source projects being developed in the ecosystem, and share the community's vision of increased interoperability driving the next generation of geospatial workflows.", "description": "Community standards, created through collaborative grassroots efforts before being widely adopted, play a crucial role in geospatial interoperability as exemplified by specifications like SpatioTemporal Asset Catalog (STAC) and Cloud-Optimized GeoTIFFs (COGs). Efforts like these not only enable seamless data interoperability but also form the backbone of robust, scalable systems that support critical geospatial operations.\r\n\r\nThe Sensor Tasking API (STAPI) is an emerging community standard aiming to standardize sensor tasking and spatiotemporal data ordering through a unified API and an ecosystem of tooling. Five community sprints have been held across the US and Europe, most recently this past April in Lisbon, where the spec reached the major milestone of a version 0.1.0 release. Featuring collaboration amongst government groups, commercial satellite operators, data integrators, and other community members, these iterative and collaborative sprints have worked and continue working toward developing a robust API specification and tooling. A sixth sprint is in the works and expected to take place in Europe in the first half of 2026.\r\n\r\nThis talk will showcase the concrete achievements of the STAPI community, demonstrating how a collaborative approach can lead to a tangible and impactful standard for accessing future geospatial data. We will delve into the specification, highlighting its key features and recent developments, including the upcoming version 0.2.0 release. We will also look at the open-source ecosystem growing out of this effort, including projects like stapi-fastapi, stapi-pydantic, and pystapi-client that are empowering the community to create their own STAPI-compliant services and tooling, and several practical implementations from commercial providers.", "recording_license": "", "do_not_record": false, "persons": [{"code": "W8MQ89", "name": "Matthew Hanson", "avatar": "https://talks.staging.osgeo.org/media/avatars/a69872d70b97e337c047d8ecbcbc1721_9pXlOo0.jpg", "biography": "Matthew Hanson is a Director at Element 84, where he leads teams developing cloud-native solutions for managing and delivering geospatial and Earth observation data. He is a long-time advocate for open-source geospatial software and open standards, with deep involvement in the development and adoption of STAC (SpatioTemporal Asset Catalog) and related tooling. 2025 marks his 11th FOSS4G, reflecting his commitment to collaboration, community building, and pushing the geospatial ecosystem forward through practical, modern data workflows.", "public_name": "Matthew Hanson", "guid": "34571de8-ba9d-535a-8911-1af18c5fe91f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/W8MQ89/"}, {"code": "8TAMEN", "name": "Jarrett Keifer", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_7316_crop_a35B92h.jpeg", "biography": "Jarrett Keifer is a Senior Geospatial Software Engineer at Element 84, a commercial geospatial consultancy that uses open-source to build effective customer solutions. His interests include education and outreach, geospatial data formats, and high-performance systems/network programming. He enjoys designing systems to operate at scale, particularly to support remote sensing data processing and earth science applications, and has over ten years of experience contributing to open source projects.", "public_name": "Jarrett Keifer", "guid": "a96982f6-47e9-53fd-9d40-f07ed7f44fa6", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8TAMEN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ASNWTC/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/ASNWTC/", "attachments": []}, {"guid": "f9019845-ce47-5a52-8368-38c1058f44cb", "code": "BWGXHK", "id": 4138, "logo": null, "date": "2025-11-20T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4138-how-to-use-data-from-the-aws-open-data-program-in-amazon-bedrock-and-amazon-sagemaker-ai", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BWGXHK/", "title": "How to use data from the AWS Open Data program in Amazon Bedrock and Amazon SageMaker AI", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "The AWS  Open Data team will discuss how to use datasets in the Registry of Open Data as Amazon Bedrock Knowledge Bases. With Amazon Bedrock Knowledge Bases, you can give foundation models and agents contextual information from private and public data sources to deliver more relevant, accurate, and customized responses.", "description": "Sharing data in the cloud lets data users spend more time on data analysis rather than data acquisition. Amazon Web Services (AWS) provides a catalog of publicly available datasets on AWS through the Registry of Open Data on AWS (https://registry.opendata.aws/). The registry has over 650 datasets open to the public, such as government data, scientific research, life sciences, climate, satellite imagery, geospatial, and genomic data.  \r\n\r\nFirst, we will cover the Registry of Open Data on AWS, how to search for datasets and how to search for data objects.  Second, we will cover how to use datasets in Open Data as Knowledge Bases in Amazon Bedrock with a vector embedding store. Then we will cover how to use certain datasets in Open Data as Knowledge Bases with a structured dataset, and the trade offs between each type. Last, we will have take-home information to try this at home.", "recording_license": "", "do_not_record": false, "persons": [{"code": "MY3KNG", "name": "Chris Stoner", "avatar": "https://talks.staging.osgeo.org/media/avatars/cstner_0M1EZhD.jpg", "biography": "Chris Stoner is the Open Environmental and Geospatial Data Lead for the AWS Open Data team. Before joining the AWS Open Data Team, Chris was the Lead Product Manager on the AWS Ground Station team developing \u201cantennas as a service\u201c for Space customers. Chris also worked as a contractor to NASA at the Alaska Satellite Facility (ASF) Distributed Active Archive Center (DAAC) in Fairbanks, Alaska, developing architectures for Sentinel-1 and NISAR missions in the cloud. Ms. Stoner has an MBA from University of Massachusetts - Amherst, with a Bachelor\u2019s degree in Information Technology from University of Massachusetts - Lowell. Chris is a published author of technical journal articles and holds several patents.\r\nhttps://www.linkedin.com/in/chrisstoner", "public_name": "Chris Stoner", "guid": "3bddd3ac-ea5b-5716-97de-cb3cd287af15", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/MY3KNG/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BWGXHK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BWGXHK/", "attachments": []}, {"guid": "aa803aa3-e29b-51e1-85d5-205ab0937123", "code": "Z8STHQ", "id": 4451, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/Z8STHQ/StatsOfJapanOSMBuildings_sSkUrM9.jpg", "date": "2025-11-20T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4451-how-to-complete-japan-s-osm-building-data-in-one-year-using-the-citygml-osm-converter", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Z8STHQ/", "title": "How to Complete Japan\u2019s OSM Building Data in One Year using the citygml-osm Converter", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "Since 2020, Japan\u2019s MLIT has led Project PLATEAU, releasing 3D city models. Despite efforts, only 62% of buildings are mapped. OSM Japan is using the \"citygml-osm\" converter. This presentation proposes a one-year roadmap to complete building mapping, optimizing data imports, and community collaboration.", "description": "\u2014 Strategies for Integrating PLATEAU Data into OpenStreetMap\r\n\r\nSince 2020, Japan\u2019s Ministry of Land, Infrastructure, Transport and Tourism (MLIT) has led Project PLATEAU, developing and releasing 3D city models in CityGML format. By 2025, over 236 municipalities have published detailed building datasets compatible with the Open Database License (ODbL), making them suitable for integration into OpenStreetMap (OSM). These high-precision, semantically rich datasets are valuable for urban planning, research, and civic technology.\r\n\r\nBuilding upon previous FOSS4G and SotM presentations, this talk highlights the progress made since 2022 by OpenStreetMap Japan volunteers in importing PLATEAU\u2019s Level of Detail 1 (LOD1) building data into OSM. As of May 2025, imports have been completed for 13 cities. In addition to these imports, numerous volunteer mappers continue to enhance OSM\u2019s building data through aerial imagery tracing and other methods.\r\n\r\nDespite these efforts, only about 62% of Japan\u2019s estimated 38 million building polygons are currently mapped in OSM, leaving approximately 14 million polygons (38%) yet to be integrated. Addressing this gap requires a clear numerical target and a strategic approach.\r\n\r\nThis presentation outlines an ambitious yet achievable goal: to complete the mapping of Japan\u2019s building data using the CityGML-OSM converter within one year. We will provide a quantitative analysis of current progress and outline a roadmap to achieve this objective. Key strategies include optimizing the importation of PLATEAU data, ensuring data consistency between PLATEAU and OSM, and strengthening collaboration within the mapping community.\r\n\r\nBy sharing these insights and methodologies, we aim to accelerate the integration of PLATEAU data into OSM and serve as a model for other countries seeking to enhance their building mapping efforts.", "recording_license": "", "do_not_record": false, "persons": [{"code": "KZQBHV", "name": "Taichi Furuhashi", "avatar": "https://talks.staging.osgeo.org/media/avatars/taichifuruhashi_kao2_l2AxKad.jpg", "biography": null, "public_name": "Taichi Furuhashi", "guid": "1149ba4c-305e-5183-b0a0-a203d60d52f7", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KZQBHV/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Z8STHQ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Z8STHQ/", "attachments": []}, {"guid": "45915197-2510-55fd-b45e-accb660f79a3", "code": "8EUHDY", "id": 4248, "logo": null, "date": "2025-11-20T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4248-qgis-and-democracy-defining-new-zealand-s-electoral-boundaries", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8EUHDY/", "title": "QGIS and Democracy - Defining New Zealand\u2019s Electoral Boundaries", "subtitle": "", "track": "Desktop GIS & Data Collection", "type": "Talk", "language": "en", "abstract": "How QGIS was used to help review and define New Zealand's electoral boundaries.", "description": "This year the Representation Commission reviewed and updated New Zealand\u2019s electoral boundaries. This talk will give a high-level overview on the process and describe how a QGIS plugin was the core decision making tool that enabled the Commission to quickly investigate different boundary scenarios and ensure electorates were within legislated population tolerances.", "recording_license": "", "do_not_record": false, "persons": [{"code": "JJQMKR", "name": "Ian Harrison", "avatar": null, "biography": "Ian is a Senior Geospatial Specialist at Toit\u016b Te Whenua Land Information New Zealand, where he is one of the team that looks after the LINZ Data Service. He was seconded as a technical advisor to the Representation Commission for the 2025 electoral boundary review.", "public_name": "Ian Harrison", "guid": "a31ad8f0-3567-5034-83bf-2d30f18b3c07", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/JJQMKR/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8EUHDY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8EUHDY/", "attachments": []}, {"guid": "e1f00612-8f4c-527a-affe-9e539a2e126e", "code": "TZUBTN", "id": 4720, "logo": null, "date": "2025-11-20T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4720-participatory-gis-methods-for-urban-redevelopment", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TZUBTN/", "title": "Participatory GIS Methods for Urban Redevelopment", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "Public Participatory Geographic Information Systems (PPGIS) is a map-based survey  method  enabling  citizens  to  contribute  geographic  and  non-geographic information  for  planning  and  research.", "description": "Public Participatory Geographic Information Systems (PPGIS) is a map-based survey  method  enabling  citizens  to  contribute  geographic  and  non-geographic information  for  planning  and  research. Originating in the 1990s, PPGIS emerged to democratize  GIS  and  integrate  community  participation.  It  promotes  inclusive, \r\ntransparent  decision-making  and  policy  development  through  visualization  and interactive  mapping.  As  government  services  increasingly  shift  to  digital  platforms, citizens\u2019  voices  and  opinions  must  also  transition  digitally,  influencing  both decision-making  and  implementation. For instance, in urban redevelopment, PPGIS can  be  used  to  conduct  map-based  questionnaires,  collect  and  classify  data,  and serve  not  only  as  a  planning  tool  but  also  as  a  digital  communication  platform between  citizens  and  planners.  \r\nThe  Leafmap  Python  package  meets  these  criteria by enabling interactive, low-code spatial analysis, surveys, and public engagement in planning processes.", "recording_license": "", "do_not_record": false, "persons": [{"code": "LNJYYK", "name": "Uyanga Ankhbayar", "avatar": null, "biography": null, "public_name": "Uyanga Ankhbayar", "guid": "0b5b482f-2df0-5fdc-9c12-e475e3a2fa35", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LNJYYK/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TZUBTN/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TZUBTN/", "attachments": []}, {"guid": "8bfcc2f9-f270-57e6-b2ce-b5549472796c", "code": "QFVNWU", "id": 4428, "logo": null, "date": "2025-11-20T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4428-a-framework-of-geoai-for-object-detection-and-classification-using-ogc-standards-from-data-collection-to-visualization", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QFVNWU/", "title": "A Framework of GeoAI for Object Detection and Classification using OGC Standards - From Data Collection to Visualization", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "In this presentation, we discuss a framework of GeoAI for object detection and classification based on OGC standards. This framework has been developed as OGC pilot project, tested for UN VMC, and composed of multiple open-source modules communicating via OGC standards.", "description": "Object detection and feature classification are one of the most common applications of Geo-AI. It consists of multiple modules such as training data collection of geospatial data such as geo-referenced images and video, training deep learning model, object classification and detection, and visualization of the results. As diverse environments may be included in the system, the interoperability between modules becomes a critical challenge to develop an integral GeoAI solution. OGC UDTIP (Urban Digital Twin Interoperability Pilot) project aims to provide a GeoAI framework based on OGC standards as part of its requirements. The system is composed of four building blocks \u2013 data collection module for geo-reference image or video training datasets, GeoAI analytics module for deep learning model, visualization for presenting the result of detection or classification on a map, and a geospatial platform for coordinating these modules. Many OGC standards are applied such as GeoPose, TrainDML for AI, and OGC-API. The solution has been tested with UN VMC (Verification Mission in Colombia) for collecting the training data. While the first target application was to classify the road surfaces, it is extensible to other types of GeoAI applications such as object detections by simply modifying the code list of TrainDML for AI and replacing proper deep learning model.", "recording_license": "", "do_not_record": false, "persons": [{"code": "QHDJTV", "name": "Ki-Joune Li", "avatar": "https://talks.staging.osgeo.org/media/avatars/Ki-Joune-LI_Photo_dUQEI3o.jpg", "biography": "Professor at Pusan National University, Department of Computer Science and Engineering", "public_name": "Ki-Joune Li", "guid": "11c671d4-e911-54fc-8260-622ac9ce6a8d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/QHDJTV/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QFVNWU/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QFVNWU/", "attachments": []}, {"guid": "c60f1dab-fc62-5836-90e8-17ef2ac9e38c", "code": "BXYXV3", "id": 4445, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/BXYXV3/FOSS4G_twaPQnt.jpg", "date": "2025-11-20T15:30:00+13:00", "start": "15:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4445-open-source-and-open-standard-offline-mobile-data-collection-with-kobotoolbox", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BXYXV3/", "title": "Open Source and Open Standard Offline Mobile Data Collection with KoboToolbox", "subtitle": "", "track": "Desktop GIS & Data Collection", "type": "Talk", "language": "en", "abstract": "Review of the current state-of-art of open source, offline capable, mobile geospatial data collection using the KoboToolbox toolset, based on Open Data Kit standards.", "description": "KoboToolbox (Kobo) is an open source, non-profit project based in the USA from the Harvard Humanitarian Initiative, dedicated to making data collection accessible to everyone, everywhere. We are one of the leading global open source tools for collecting, managing, and visualizing data. Our primary sectors include supporting humanitarian aid, environmental protection, human rights, public health, and social development, by providing real data to drive positive change.\r\n\r\nKoboToolbox is used across the globe for mobile data collection in some of the world's most remote locations, handling over 20 million form submissions per month. KoboToolbox is entirely open source and is freely available to anyone who wishes to run or customize it. Kobo also provides a free hosting service to non-profit organisations on its public servers, as well as offering dedicated private servers to humanitarian institutions, such United Nations, Red Cross, Save the Children, which helps subsidize our free services.\r\n\r\nKoboToolbox provides both a native Android app - KoboCollect - and a browser-based client - Enketo. All data collection in KoboToolbox can be performed entirely offline, with form definitions and new submissions permanently stored on the device until the user is back in coverage. In addition to a rich set of basic form controls, such as text, selections, photos, QR codes, etc, KoboToolbox also supports acquiring geospatial data in the form of points, paths, and polygons, and includes geo-centric functions like area and distance calculations as well as on-device geofencing. The KoboCollect app supports an extensive range of mapping options, including the ability to preload and display offline MapBox map tiles, and making selections from a map. All form elements can be further embellished with skip logic and validation checking to support custom workflows. Longitudinal studies can be undertaken by referencing previously acquired datasets whilst in the field, again, in an entirely offline manner.\r\n\r\nKoboToolbox is deployed globally and permits extensive internationalization with over 60 languages supported. All data collected can be visualized through rich dashboards - including geospatially - and is fully accessible to other integration platforms via KoboToolbox\u2019s extensive API and export interfaces.", "recording_license": "", "do_not_record": false, "persons": [{"code": "HNSDTE", "name": "Dr. Gareth S. Bestor", "avatar": "https://talks.staging.osgeo.org/media/avatars/avatar-672x672_trZY4E7.jpg", "biography": "Principal Engineer at KoboToolbox", "public_name": "Dr. Gareth S. Bestor", "guid": "1713d937-9162-5bca-b56a-e209b4b69e3e", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/HNSDTE/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BXYXV3/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BXYXV3/", "attachments": [{"title": "Presentation slide deck", "url": "/media/foss4g-2025/submissions/BXYXV3/resources/FOSS4G_final_smaller_0W0m3Mp.pptx", "type": "related"}]}, {"guid": "ac3d8b1c-b52f-5ee7-962e-a0f43292ea28", "code": "UXPNJZ", "id": 4369, "logo": null, "date": "2025-11-20T16:00:00+13:00", "start": "16:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4369-geomatics-and-open-source-for-road-infrastructure-management-standards-technologies-and-future-directions", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UXPNJZ/", "title": "Geomatics and open-source for road infrastructure management: standards, technologies, and future directions", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "This contribution reviews how open standards and open-source technologies enable integrated, transparent, and sustainable workflows for managing bridges, tunnels, and roads. It highlights how open ecosystems can overcome data silos, support digital twins, and enhance long-term monitoring, regulatory compliance, and collaboration in infrastructure asset management.", "description": "Following the introduction of guidelines for documenting road assets in Europe, infrastructure asset management is undergoing a new digital transformation. The reuse and transparency principles are fostering the adoption of open standards and open-source technologies [1]. This paradigm shift toward digitising is evident in the monitoring and maintenance of critical infrastructure, such as bridges and road networks. New guidelines led to the proliferation of proprietary solutions, which, however, contributed to a fragmentation of data environments. Custom and licence-dependent formats limited the interoperability, scalability and transparency of infrastructure management workflows [2]. In contrast, the open-source approach fosters collaboration, enhances accessibility to information, and supports more resilient, cost-effective and democratic decision-making processes. To strategically develop operational solutions answering the guidelines needs, it is then needed to address the state-of-the-art of open standards, technologies and their potentials and limitations in documented applications.\r\n\r\nStandards overcoming proprietary limitations\r\n\r\nA core enabler of this transformation is the implementation of open standards for data interoperability. In the building and infrastructure sector, BIM standards such as Industry Foundation Classes (IFC, ISO 16739) offer a solid basis for representing built assets in a vendor-neutral format [3]. IFC enables the exchange and reuse of information throughout the design, construction and operational phases, incorporating essential elements such as geometric components, spatial relationships and functional systems. Recent IFC extensions specifically support bridges, and ongoing efforts are targeting tunnels and other infrastructure typologies [4]. In parallel, developments in the GIS domain have produced open standards such as CityGML and LandInfra, which enable the structured representation of infrastructure within its environmental context [5]. These standards facilitate the integration of semantic, spatial, and topological information across administrative and technical domains, especially when aligned with OGC specifications that adhere to the FAIR principles \u2014 Findable, Accessible, Interoperable, and Reusable [6].\r\n\r\nHowever, the true digital integration of infrastructure assets requires more than the adoption of standalone standards. The convergence of BIM and GIS necessitates strategies that harmonise their respective models and semantics, especially for multi-scale, cross-domain applications. Projects are increasingly relying on Linked Data and Semantic Web technologies to achieve this integration. Using ontologies facilitates mapping sensor properties to models, embedding IoT data in the infrastructure\u2019s digital representation [1]. Despite these advances, challenges persist. Semantic and schematic discrepancies between BIM and GIS standards continue to pose significant challenges. For example, efforts to map IFC to CityGML often involve trade-offs between semantic richness and geometric accuracy. Rather than creating new standards, the prevailing strategy is to extend and align existing ones to meet the evolving requirements of digital twin systems, particularly those focused on bridge management and road asset monitoring [7].\r\n\r\nTechnologies in operational systems\r\n\r\nComplementing this standards foundation is an expanding ecosystem of open-source technologies that support the practical implementation of digital infrastructure management systems. PostgreSQL, enhanced with the PostGIS extension, remains essential for storing spatio-temporal data [8][9]. Graph databases like Neo4j offer an intuitive and scalable solution for modelling relationships between infrastructure components, inspections, and maintenance workflows [10]. Open-source GIS platforms such as QGIS facilitate desktop spatial analysis and visualisation [11], integrating seamlessly with mobile tools such as MerginMaps, QField, and ODK Collect to enable efficient in-situ data collection. These solutions have proven effective for managing transportation assets at the municipal level, such as signage and road condition inventories [12].\r\n\r\nThe web-based visualisation and analysis of road networks and assets has also advanced significantly through libraries such as Cesium, Deck.gl and Xeokit. Cesium supports interactive, 3D globe-based visualisation and streams 3D tiles to render large-scale infrastructure environments [7]. Xeokit specialises in BIM visualisation, enabling examination of IFC models within web platforms. These libraries enable infrastructure stakeholders to interact with 3D models independently of proprietary software, thereby expanding access to asset information across organisations [10]. Dashboards built with frameworks such as ECharts and enhanced with WebSocket protocols support the integration of real-time data from sensor networks, ensuring that digital models are dynamically linked to their physical counterparts.\r\n\r\nIn the field of road network analysis, open-source Python packages such as OSMnx, MovingPandas and Scikit-Mobility allow for a detailed examination of mobility patterns and accessibility [13]. Simulation tools such as SUMO and AequilibraE offer the ability to model multimodal traffic flows, test policy scenarios and evaluate infrastructure interventions [14]. When integrated with geodata from OpenStreetMap and coupled with routing engines like OSRM, these tools provide a comprehensive solution for network planning and optimisation [6].\r\n\r\nCurrent potentials and limitations\r\n\r\nBy eliminating licensing fees, open-source approaches reduce long-term software costs and provide full transparency into the computational models and assumptions behind analyses\u2014an essential aspect for public infrastructure projects where trust, accountability, and reproducibility are critical [15]. Open tools also give public agencies and asset owners control over their data and workflows, enabling them to inspect, adapt, and extend codebases to meet evolving needs without vendor lock-in.\r\nThe collaborative nature of open-source development further facilitates knowledge transfer and capacity building. Active communities, thorough documentation and modular architectures reduce the barriers to adoption, thereby fostering innovation [6]. Local governments and academic institutions can contribute to, and benefit from shared development to generate context-specific, sustainable solutions. Furthermore, open tools promote citizen engagement by making infrastructure data more accessible and easier to understand \u2014 a vital aspect of participatory planning and the development of inclusive smart cities [12, 15].\r\n\r\nHowever, there are still challenges to overcome. For example, integrating different types of data, such as point clouds, GIS layers, BIM models and real-time sensor feeds, requires robust data pipelines. Ensuring data quality, particularly for legacy assets, remains challenging. Furthermore, performance and scalability issues arise with large-scale or high-resolution models, and efforts to optimise such workflows are ongoing.\r\n\r\nEqually critical are the human and institutional factors. Although many open-source tools now have user-friendly interfaces, a certain level of technical expertise is still needed for setup, customisation and maintenance. Capacity building and continuous training are necessary to ensure that practitioners can leverage these tools effectively. At the policy level, questions relating to data ownership, privacy and digital sovereignty must be addressed by robust legal and governance frameworks. The adoption of digital twins for public infrastructure also raises important ethical and epistemological questions, particularly with regard to the authority of data-driven models in decision-making contexts.\r\nLooking forward, research focus on enhancing semantic alignment between BIM and GIS models, improving the representation of defects and maintenance history within IFC schemas, and enabling greater automation in cross-platform integration. Further studies are needed to assess the comparative benefits and limitations of open-source versus proprietary solutions in different infrastructure contexts. Evaluating the long-term sustainability, replicability, and social impact of open-source digital twins will be key to their broader adoption.\r\n\r\nThis contribution aims to provide an overview of the open-source and open-standard scenario in infrastructure management with case studies from literature. It offers a technical synthesis and a forward-looking perspective, with a particular focus on documented case studies that adopt OSGeo tools, OGC standards and open data. Leveraging the strengths of openness  enables stakeholders to build more resilient infrastructure systems.", "recording_license": "", "do_not_record": false, "persons": [{"code": "CFAZ9L", "name": "Federica Gaspari", "avatar": "https://talks.staging.osgeo.org/media/avatars/ProPic_2_blorWT4.jpg", "biography": "PhD student in Applied Geomatics at the Department of Civil and Environmental Engineering of Politecnico di Milano (Italy). Her main research interest is 2D and 3D data integration in web-based geospatial environments to support decision making for built and natural environment applications. \r\n\r\nPassionate OpenStreetMap contributor since 2016 and OSGeo Charter Member since 2022, with activities focused on education and capacity building for the Italian community.", "public_name": "Federica Gaspari", "guid": "013ec0aa-c44c-57b2-9854-71ce7f1c2ce8", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/CFAZ9L/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UXPNJZ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UXPNJZ/", "attachments": [{"title": "GaspariFOSS4G2025", "url": "/media/foss4g-2025/submissions/UXPNJZ/resources/GaspariFOSS4G2025_mgZYSHB.pdf", "type": "related"}]}, {"guid": "e892e63b-c3d8-52e2-a82a-4c2ab9e5718d", "code": "PHFBKG", "id": 4377, "logo": null, "date": "2025-11-20T16:30:00+13:00", "start": "16:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4377-fast-urban-digital-twin-prototyping-based-on-open-data", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PHFBKG/", "title": "Fast Urban Digital Twin prototyping based on open data", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "This work proposes a methodology for assembling Urban Digital Twin prototypes using solely open data and open source software. It outlines a three-component architecture for processing, data storage, and extensibility, and its implementation, showcasing a cost-effective, scalable solution, demonstrated via a test case.", "description": "In recent years, the paradigm of the smart city has evolved towards the concept of digital twins, which are now being ever more discussed and implemented in cities from all around the world. Conceptually, a digital twin is a digital model representing a real-world object, process, or system that enables 2-way communication, simulations and what-if scenarios, revisit of past data, and monitoring of the modelled entity. Urban Digital Twins are the application of said Digital Twins to cities, urban areas and urban spaces, and are mostly used in urban planning as a tool for engaging with communities, perform simulations, manage multiple urban processes, and enable data-driven decision support systems. Geospatial data is central for the implementation of Urban Digital Twins, as their data requirements are inherently spatial. Street networks, sensor networks, granular meteorological and weather information, and remotely sensed imagery are all geospatially enabled data sources, prompting a need for robust spatial data infrastructures and standardised services that enable interoperability.\r\n\r\nHowever, the adoption of Urban Digital Twis is limited due to economic and technological factors, as such projects require large volumes of historical and constantly updated data, data streams, 3D models, and an infrastructure to store such data and run simulations. Consequently, the use of proprietary software for Urban Digital Twins is common practice. Open source software and open data offer a massive opportunity for the development of Urban Digital Twins. With, overall, robust and globally available data for multiple city systems, it is possible to create minimal prototypes of Urban Digital Twins that can scale up by appending authoritative information, replacing global open data with other high-resolution datasets, and creating tailored models for analysing specific aspects of urban areas. Global open data is also practical for deploying Urban Digital Twin prototypes in developing countries and economies that lack high-resolution data availability.\r\n\r\nThis work is focused on proposing a methodology for assembling prototypes of Urban Digital Twins based solely on open data and open source software. Our research includes the proposal of an Urban Digital Twin architecture, the analysis of minimal data requirements for Urban Digital Twins, a selection of global, open data sources, and a city-scale test case. Our methodology strides to be applicable worldwide as a baseline and precursor of fully-featured Urban Digital Twins.\r\n\r\nThe architecture for the Fast Urban Digital Twin prototype features three components: i) the Digital Twin engine where calculations and models run following a cloud-computing paradigm; ii) the data component where unstructured and structured data is stored; and iii) the extension system that enables the platform to connect with other standardized data sources and services. \r\n\r\nThe Digital Twin engine component enables a fundamental part of the Digital Twin: processing and simulations. This component provides dashboard capabilities, visualization, and custom processing functionalities. As a critical part of Digital Twins is their purpose, the customisation of processing functionalities enables to steer a generic prototype towards a domain-specific solutions. Such processing capabilities also include AI and physical models for forecasting and simulating future scenarios.\r\n\r\nThe data component provides storage and retrieval capabilities of structured, unstructured, and streamed data. Such solutions, generally related to data lakes and warehouses, are usually implemented in data spaces and Digital Twins, as they allow to store massive amounts of data and are optimised for its analysis and retrieval. The prototype solution includes minimal, pre-loaded, data that can be used for urban analyses. Examples of such data include street networks, 3D buildings, socioeconomic information, and any other minimal information found during the research phase, which are useful for general-purpose Urban Digital Twins.\r\n\r\nFinally, the extension system is the way in which the Urban Digital Twin prototype can scale up and become a fully-fledged solution by enabling the connection with standardised geospatial services and the insertion of standard data formats (e.g., CityGML, GeoPackage, GeoTiff, GeoParquet, etc.). This extension system allows the inclusion of new data and the possibility to modify existing one, enabling the use of high resolution and authoritative information instead of default global data.\r\n\r\nTo test our methodology, a test case will be presented, featuring a city-scale Urban Digital Twin prototype based solely on open data. Other functionalities as the extension system, custom functionalities, and dashboard visualization are also tested. The city to be studied for the test case is Bologna, Italy.\r\n\r\nIn conclusion, the usage of open data and open source software is beneficial for the implementation of Urban Digital Twins as it enables fast prototyping and baseline solutions that are cost-effective and open. We propose and implement an Urban Digital Twin architecture and solution for the creation of minimal and usable prototypes, based on open data, that enable processing, simulations, data insertion, and extension through custom functionalities, such as AI models, and standardised data formats and services. We test our approach with a test case, featuring a city-scale study for the city of Bologna, combining multiple global, open data, and a set of custom functionalities.", "recording_license": "", "do_not_record": false, "persons": [{"code": "HFK38L", "name": "Juan Pablo Duque Ordo\u00f1ez", "avatar": "https://talks.staging.osgeo.org/media/avatars/HFK38L_x6BxZps.webp", "biography": "I\u2019m a final-year PhD candidate in Environmental Engineering, in the area of Geomatics, at Politecnico di Milano; a Geoinformatics Engineer from Politecnico di Milano; and a Computer Scientist from Universidad del Norte, Colombia. \r\nI\u2019m mostly interested in Free and Open Source Software for Geospatial (FOSS4G), especially when the internet is involved. I'm also passionate about research, teaching, modern Open Geospatial Standards, Web GIS, and putting my coding skills and knowledge to the service of the GIS community. I love travelling, maps, geography, and learning about the beautiful and diverse world we live in. My current research area is focused on Urban Digital Twins, analysis of street networks, open-source software, open data, and geospatial data integration.", "public_name": "Juan Pablo Duque Ordo\u00f1ez", "guid": "d084d129-6585-53c2-9b8c-e6708ffda5d2", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/HFK38L/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PHFBKG/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PHFBKG/", "attachments": [{"title": "Presentation", "url": "/media/foss4g-2025/submissions/PHFBKG/resources/UrbanDT_Prototyping_-_FOSS4G_Auckland_33vEvZh.pdf", "type": "related"}]}]}}, {"index": 5, "date": "2025-11-21", "day_start": "2025-11-21T04:00:00+13:00", "day_end": "2025-11-22T03:59:00+13:00", "rooms": {"WG306 Foyer": [{"guid": "18ed888d-adf1-51f5-a775-edc5f746b427", "code": "3W8Y9W", "id": 4697, "logo": null, "date": "2025-11-21T08:00:00+13:00", "start": "08:00", "duration": "09:00", "room": "WG306 Foyer", "slug": "foss4g-2025-4697-4-registration", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3W8Y9W/", "title": "Registration", "subtitle": "", "track": "Registration", "type": "Registration", "language": "en", "abstract": "FOSS4G 2025 Auckland Conference Registration", "description": "FOSS4G 2025 Auckland Conference Registration", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3W8Y9W/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3W8Y9W/", "attachments": []}], "WG201 Exhibition & Catering": [{"guid": "231125ef-9064-508c-ac78-38d0da5d4f1f", "code": "WDUCCK", "id": 4693, "logo": null, "date": "2025-11-21T10:30:00+13:00", "start": "10:30", "duration": "00:30", "room": "WG201 Exhibition & Catering", "slug": "foss4g-2025-4693-4-morning-break", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WDUCCK/", "title": "Morning Break", "subtitle": "", "track": "Break", "type": "Morning Tea", "language": "en", "abstract": "This is the time where you can have a 30min break to recharge with Tea, Coffee, Juice, Water and Food", "description": "This is the time where you can have a 30min break to recharge with Tea, Coffee, Juice, Water and Food", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WDUCCK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/WDUCCK/", "attachments": []}, {"guid": "11a484dd-2471-5453-8c59-e67c0db5c818", "code": "MFNPZ8", "id": 4695, "logo": null, "date": "2025-11-21T12:30:00+13:00", "start": "12:30", "duration": "01:00", "room": "WG201 Exhibition & Catering", "slug": "foss4g-2025-4695-4-lunch-break", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MFNPZ8/", "title": "Lunch Break", "subtitle": "", "track": "Break", "type": "Lunch", "language": "en", "abstract": "This is the time where you can have a 60min break to recharge with Tea, Coffee, Juice, Water and Food as well as visit our exhibitors and sponsors.", "description": "This is the time where you can have a 60min break to recharge with Tea, Coffee, Juice, Water and Food as well as visit our exhibitors and sponsors.", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MFNPZ8/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/MFNPZ8/", "attachments": []}, {"guid": "a77aab03-456c-5066-9b7a-60814d51b6d5", "code": "9S9U8F", "id": 4694, "logo": null, "date": "2025-11-21T15:00:00+13:00", "start": "15:00", "duration": "00:30", "room": "WG201 Exhibition & Catering", "slug": "foss4g-2025-4694-4-afternoon-break", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9S9U8F/", "title": "Afternoon Break", "subtitle": "", "track": "Break", "type": "Afternoon Tea", "language": "en", "abstract": "This is the time where you can have a 30min break to recharge with Tea, Coffee, Juice, Water and Food", "description": "This is the time where you can have a 30min break to recharge with Tea, Coffee, Juice, Water and Food", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9S9U8F/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9S9U8F/", "attachments": []}], "WG403": [{"guid": "c51c5bbd-c51a-52f6-af18-51f9761ae487", "code": "JRR7YJ", "id": 4471, "logo": null, "date": "2025-11-21T09:10:00+13:00", "start": "09:10", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4471-knowledge-sharing-and-building-a-sustainable-community-culture", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JRR7YJ/", "title": "Knowledge sharing and building a sustainable community culture", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "This study examines knowledge-sharing practices among professionals in the free and open-source software community. It emphasizes the concept of a knowledge community and knowledge sharing across boundaries from a cross-cultural perspective. It offers practical implications to professionals facing linguistic challenges and nourish a sustainable community culture.", "description": "The authors conducted 30 semi-structured, in-depth interviews with professionals working within free and open-source software communities worldwide. The first round of interviews is conducted in face-to-face settings during the Euro Foss4G conference in Mostar, Bosnia and Herzegovina. The second round of interviews is conducted online. Each interview lasts from 60-80 mins. The interview transcripts are analyzed with the software of MAXQDA. Interview questions are asked about the communication and collective experiences of collaborating with working professionals working with free and open-source software for geospatial (Foss4G) technologies. Particularly, the individual motives and collaboration experiences from the cross-cultural perspectives are examined. Further, interviewees were also asked to describe how their personal experiences impacted their perception of community and a sustainable community culture.  Insights and findings from the interviews are discussed.", "recording_license": "", "do_not_record": false, "persons": [{"code": "7BVNCJ", "name": "Juana Du", "avatar": null, "biography": "Professor, School of Business, Royal Roads University, Victoria, British Columbia, Canada", "public_name": "Juana Du", "guid": "c73c35fa-ccec-5f3a-8f1f-7d10a921ca0d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7BVNCJ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JRR7YJ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JRR7YJ/", "attachments": []}, {"guid": "6f300672-e9e9-56d7-b281-3275de57d222", "code": "NCQSEN", "id": 4468, "logo": null, "date": "2025-11-21T09:15:00+13:00", "start": "09:15", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4468-imagen-for-geospatial", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NCQSEN/", "title": "ImageN for GeoSpatial", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Introducing the re-newed raster image procession engine for the Java GeoSpatial Community.", "description": "I am *so* excited to share this one, I have been planning it literally for over a decade - and it is finally happening! Attend this talk and buy me a beer.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NCQSEN/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NCQSEN/", "attachments": []}, {"guid": "731fa5ba-d844-56c2-a926-11a43949f1e0", "code": "FRJJ7D", "id": 4404, "logo": null, "date": "2025-11-21T09:20:00+13:00", "start": "09:20", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4404-feed-your-spreadsheet-to-the-pandas", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FRJJ7D/", "title": "Feed your spreadsheet to the Pandas!", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "The Python Pandas library makes data analysis fast and intuitive. Learn how to load datasets, filter and transform data, perform basic calculations, and export results - all using Pandas. Stacy will present a beginner-friendly workflow using Python Notebooks, tailor made for rapid experimentation and iteration.", "description": "The Pandas library for Python streamlines data analysis by making number crunching both fast and intuitive. It excels at handling common \u201cload-calculate-save\u201d workflows with concise, readable code\u2014ideal for everyday data tasks.\r\n\r\nIn this practical lightning talk, we\u2019ll walk through a beginner-friendly workflow using Python notebooks, designed for rapid experimentation and iteration. Attendees will learn how to:\r\n\u2022\tLoad datasets\r\n\u2022\tFilter and transform data\r\n\u2022\tPerform basic calculations\r\n\u2022\tExport results\r\n\u2014\tall using Pandas.\r\n\r\nTo help participants get started quickly, a GitHub repository will be shared containing a minimal working setup. This ready-to-clone configuration will enable attendees to dive into their own analyses with ease.", "recording_license": "", "do_not_record": false, "persons": [{"code": "LQ9KHP", "name": "Stacy Rendall", "avatar": "https://talks.staging.osgeo.org/media/avatars/Picture1_x3fT0n2.jpg", "biography": "Stacy is an Associate Software Engineer at Abley. He has a PhD in Mechanical Engineering, which started him on a path of spatial software development using JavaScript and Python to solve wickedly complex problems across a variety of domains.", "public_name": "Stacy Rendall", "guid": "a43c1aa8-1e45-5925-92c2-d9afc643e367", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LQ9KHP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FRJJ7D/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FRJJ7D/", "attachments": []}, {"guid": "c0ef1eec-0ed7-56a1-90ae-c5ee296225e9", "code": "AUJALV", "id": 4705, "logo": null, "date": "2025-11-21T09:25:00+13:00", "start": "09:25", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4705-advancing-spatial-demographic-insights-through-gis-results-of-fiji-population-grid-for-2023-and-implications", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AUJALV/", "title": "Advancing Spatial Demographic Insights through GIS: Results of Fiji Population Grid for 2023 and Implications", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "The Fiji Bureau of Statistics, in collaboration with SPC\u2019s Statistics for Development Division, has developed the 2023 Fiji Population Grid\u2014a high-resolution spatial dataset modeled from the 2017 Census and projected to 2023", "description": "The Fiji Bureau of Statistics, in collaboration with SPC\u2019s Statistics for Development Division, has developed the 2023 Fiji Population Grid\u2014a high-resolution spatial dataset modeled from the 2017 Census and projected to 2023. Represented in 100m x 100m cells, the grid consists of 66 datasets disaggregated by sex, major ethnicity, and 5-year age groups. This experimental GIS-based approach marks a significant step in spatial demographic analysis, offering detailed insights into population distribution, demographic shifts, and inter-ethnic dynamics across Fiji. The 2023 update reveals evolving patterns in gender and age distributions, supporting more informed policy-making and planning at national and subnational levels.", "recording_license": "", "do_not_record": false, "persons": [{"code": "CBDALS", "name": "Fiu Penjueli", "avatar": null, "biography": null, "public_name": "Fiu Penjueli", "guid": "ac7398c3-f3b7-58fd-b7ca-76027b54d2de", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/CBDALS/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AUJALV/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AUJALV/", "attachments": [{"title": "Experimental-GIS-Fiji-Popuation-Grid-2023.pdf", "url": "/media/foss4g-2025/submissions/AUJALV/resources/Experimental-GIS-Fiji-Popuation-Grid-2023_GjweLBk.pdf", "type": "related"}]}, {"guid": "8cdf2601-aa0e-5fb7-9b6c-68ba3845f049", "code": "KTYGVZ", "id": 3800, "logo": null, "date": "2025-11-21T09:30:00+13:00", "start": "09:30", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-3800-high-resolution-large-scale-inundation-mapping-with-basic-python-libraries", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KTYGVZ/", "title": "High-resolution, large-scale inundation mapping with basic python libraries", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Designing a flood mapping workflow using a few standard python libraries to efficiently process high resolution data at-scale.", "description": "Bathtub modelling is a simple approach to flood mapping, whereby inundation depths are computed via differencing a water height layer with the terrain elevation. However, bathtub models often overestimate flood depth and extent, as they fail to resolve underlying processes including hydraulic connectivity, attenuation, fluid flow direction, and structural barriers. Following concepts outlined in Kasmalkar et al. (2024), a bathtub inundation model was developed which accounts for hydraulic connectivity and path-based attenuation to improve the accuracy of flood mapping. The model was applied for multiple inundation scenarios over a large extent (approx. 15,000 sq. km) at high spatial resolution (4 m) which presented numerous challenges in terms of compute capacity, runtime, and generation of useable output data and maps. To address these challenges, the workflow was implemented in Python and involved segmenting the study area into smaller regions, relying on only numpy/cupy (for GPU) in the processing script, and using gdal for reading/writing raster and vector inputs/outputs. This talk will briefly outline the goals of this project, the hurdles encountered along the way, and the solutions designed to overcome them.", "recording_license": "", "do_not_record": false, "persons": [{"code": "ZHVKHU", "name": "Ellorine Carle", "avatar": null, "biography": "I am a geospatial specialist at Metservice, New Zealand's national weather forecasting agency, where I work across teams to produce and maintain various geographic datasets used in operational forecast models, consultancy projects, and research.", "public_name": "Ellorine Carle", "guid": "42cf004e-3be2-5ea8-a32d-9ecfe3248e10", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ZHVKHU/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KTYGVZ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KTYGVZ/", "attachments": []}, {"guid": "7e26872e-7dea-5666-86fc-2a16dac37d6e", "code": "KGTFHY", "id": 4472, "logo": null, "date": "2025-11-21T09:35:00+13:00", "start": "09:35", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4472-geotools-update", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KGTFHY/", "title": "GeoTools Update", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Quick check in with the GeoTools project!", "description": "GeoTools is the backbone of the Java Geospatial community, implementing a lot of the GIS functionality behind GeoServer, GeoNetwork and more.\r\n\r\nCheck in with this project as we update to Java 17, a new image processing engine, and general map-happy-ness.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KGTFHY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KGTFHY/", "attachments": []}, {"guid": "c1e3968e-ac3d-544a-b370-b209679bdbad", "code": "XSHWYR", "id": 4415, "logo": null, "date": "2025-11-21T09:40:00+13:00", "start": "09:40", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4415-confessions-of-a-natural-intelligence-vibe-coder", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XSHWYR/", "title": "Confessions of a Natural Intelligence Vibe Coder?", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "\u201cVibe coding emphasizes creative flow: the human developer accepts AI-suggestions liberally and focuses on iterative experimentation rather than code correctness\u201d (Wikipedia). I am an Academic working with FOSS4G for 20+ years. Am I a Natural Intelligence vibe coder? This is that story.", "description": "An examination of FOSS4G in academica from a personal perspective. Vibe coding ain't new.", "recording_license": "", "do_not_record": false, "persons": [{"code": "R9LS9R", "name": "Martin  Tomko", "avatar": "https://talks.staging.osgeo.org/media/avatars/tomko_profile_small_A0sNCt7.jpeg", "biography": "I am a spatial information scientist from the University of Melbourne. I use and teach with FOSS4G, and never have done otherwise.", "public_name": "Martin  Tomko", "guid": "d81766f0-d625-53a4-86b4-7f7c3df6327c", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/R9LS9R/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XSHWYR/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/XSHWYR/", "attachments": []}, {"guid": "5dad59a6-8430-53fa-914e-6ec06b7b020f", "code": "EMWHHZ", "id": 4526, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/EMWHHZ/%E3%82%B9%E3%82%AF%E3%83%AA%E3%83%BC%E3%83%B3%E3%82%B7%E3%83%A7%E3%83%83%E3%83%88_2025-07-17_21.25.53_2zYh8HQ.png", "date": "2025-11-21T09:45:00+13:00", "start": "09:45", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4526-make-it-easier-to-view-gtfs-building-a-gtfs-timetable-viewer-with-sveltekit", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EMWHHZ/", "title": "Make It Easier to View GTFS : Building a GTFS Timetable Viewer with SvelteKit", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "A web-based GTFS timetable viewer that processes General Transit Feed Specification (GTFS) data entirely client-side using SvelteKit. Users can upload GTFS ZIP files and instantly visualize transit schedules in an interactive timetable format with real-time status indicators.", "description": "Public transit agencies publish schedule data in GTFS format, but accessing this information remains challenging for most users. This application provides a web-based GTFS timetable viewer that transforms complex transit data into readable, interactive timetables with ease of use. Users simply drag and drop GTFS ZIP files directly into their browser, where data is processed entirely client-side without requiring server infrastructure.This application makes viewing GTFS data significantly quicker and easier.", "recording_license": "", "do_not_record": false, "persons": [{"code": "QTWS3L", "name": "Xinmiao Qu", "avatar": "https://talks.staging.osgeo.org/media/avatars/e28aee5d790b3fcc1d4e7249bfede469_jbJLoUa.jpg", "biography": "A GIS Engineer at MIERUNE Inc. with interests in transportation, railways, and urban geography.", "public_name": "Xinmiao Qu", "guid": "6fcceaff-dc8b-550c-b7ca-f7e2c6425b7e", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/QTWS3L/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EMWHHZ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EMWHHZ/", "attachments": []}, {"guid": "d309e8ce-982b-5908-831d-08f67d32eb7b", "code": "Y7W78H", "id": 4724, "logo": null, "date": "2025-11-21T09:50:00+13:00", "start": "09:50", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4724-stop-baking-the-same-cake-instant-spatial-data-reporting-with-open-source-and-ai", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Y7W78H/", "title": "Stop Baking the Same Cake: Instant Spatial Data Reporting with Open Source and AI", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "A web platform to transform workflow: leveraging open-source tools for powerful visualizations, cloud-optimised geospatial formats for scalable data access, Python's geospatial ecosystem for processing pipelines, and carefully constrained LLMs to automate report generation while preserving expert methodology.", "description": "Reporting on spatial data shouldn't require you to \"bake the same cake\" repeatedly. I spent years collecting and processing environmental data, only to get bottlenecked at the reporting stage where it matters most. So, what did I do? I built a web platform to transform this workflow: leveraging open-source tools for powerful visualizations, cloud-optimised geospatial formats for scalable data access, Python's geospatial ecosystem for processing pipelines, and carefully constrained LLMs to automate report generation while preserving expert methodology. I'll share my journey and demonstrate how open-source tools made it all possible.", "recording_license": "", "do_not_record": false, "persons": [{"code": "XSNSXE", "name": "Phil Clunies-Ross", "avatar": "https://talks.staging.osgeo.org/media/avatars/Phil_xeC3wXI.jpg", "biography": "Nice to meet you all fellow spatial enthusiasts! I'm here to talk to you about my work in Water and Land Management, and the software I have recently built (\"delinify\"). Looking forward to meeting you all in Auckland!", "public_name": "Phil Clunies-Ross", "guid": "1d847d97-df06-5d1f-8985-3d209e1e3fce", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/XSNSXE/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Y7W78H/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Y7W78H/", "attachments": []}, {"guid": "0f6953eb-30ca-5a20-862d-557a06a1d342", "code": "KMFTL7", "id": 4243, "logo": null, "date": "2025-11-21T09:55:00+13:00", "start": "09:55", "duration": "00:05", "room": "WG403", "slug": "foss4g-2025-4243-mapping-storm", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KMFTL7/", "title": "Mapping Storm", "subtitle": "", "track": "Lightning talk", "type": "Lightning Talk", "language": "en", "abstract": "Mapping Storm (spoiler - not storm mapping!)", "description": "The story of how a cat became famous after being GPS tracked", "recording_license": "", "do_not_record": false, "persons": [{"code": "E8PZ37", "name": "Simon Nitz", "avatar": "https://talks.staging.osgeo.org/media/avatars/simon2_94DgBir.png", "biography": "Simon is the Geospatial Lead at Whanganui District Council, a local government organisation in New Zealand. Simon is highly regarded throughout Australia and New Zealand as a leader in his field with 30+ years in the industry. He has provided GIS consulting services to organisations in New Zealand and Australia, focusing on FOSS4G desktop and web mapping solutions. In the 90\u2019s and 00\u2019s Simon was chair of the MapInfo User Group in New Zealand for 16 years. Simon has also been involved in organising recent FOSS4G SotM Oceania events and is co-chair of FOSS4G 2025 Auckland.", "public_name": "Simon Nitz", "guid": "7807ba2f-9e07-5df9-83d0-732571cd7ea5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/E8PZ37/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KMFTL7/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KMFTL7/", "attachments": []}, {"guid": "da953c49-9f37-5af5-8b23-fd249092c5ec", "code": "EZVHQQ", "id": 4376, "logo": null, "date": "2025-11-21T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4376-geoarrow-on-web-can-we-live-without-geojson", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EZVHQQ/", "title": "GeoArrow on Web; Can We Live Without GeoJSON?", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "GeoArrow is a binary data format for geospatial data. It is designed for efficient data exchange, so is suitable for such usages as WebGIS. This talk will give the overview and the current status, including the limitation, of FOSS4G ecosystem around it, including DuckDB, Deck.gl, and MapLibre.", "description": "We all love binary data. In the world of WebGIS, binary vector tile quickly became the de-facto standard. However, when it comes to non-tiled data, the king of text data format, GeoJSON, still rules. GeoJSON is nice and handy, but not very suitable for big data. To unleash the potential of FOSS4G ecosystem, we need an efficient binary data format. GeoArrow, a specification based on Apache Arrow data format, is the most promising candidate for this.\r\n\r\nThe Apache Arrow ecosystem is already very rich. Apache Arrow officially provides libraries and tools for various programming languages. Many FOSS tools support reading and writing in the format. Thanks to the infrastructure, GeoArrow works very smoothly in many use cases.\r\n\r\nHowever, web-related technologies provide relatively less support for GeoArrow. At least, we haven't reached to the point where we can replace GeoJSON with GeoArrow freely. This talk reviews the current status of FOSS4G software related to GeoArrow.", "recording_license": "", "do_not_record": false, "persons": [{"code": "JQYQKC", "name": "Hiroaki Yutani", "avatar": "https://talks.staging.osgeo.org/media/avatars/DSC00401_EH2HcfC.JPG", "biography": "Yutani is a geospatial software developer at MIERUNE, Inc. He contributes to various OSS projects such as duckdb-spatial. He previously worked as a data scientist and developed various tools around R ecosystem.", "public_name": "Hiroaki Yutani", "guid": "efa8128b-c7d4-5f75-893f-70c92c41d918", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/JQYQKC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EZVHQQ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EZVHQQ/", "attachments": []}, {"guid": "0f5a66aa-6c92-5079-a11b-b5d15625aebb", "code": "KMKEFP", "id": 4297, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/KMKEFP/Individual_Trees_rkMMrSb.png", "date": "2025-11-21T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4297-from-forest-types-to-trees-a-web-based-digital-twin-of-individual-trees-using-ogc-3d-tiles", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KMKEFP/", "title": "From Forest Types to Trees: A Web-based Digital Twin of Individual Trees Using OGC 3D Tiles", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "A browser-based digital twin of individual trees is possible\u2014even at scale. Using OGC 3D Tiles, we visualized real tree models with species and height data across vast forests in Korea.", "description": "### \ud83c\udf32 From Forest Types to Trees: A Web-based Digital Twin of Individual Trees Using OGC 3D Tiles\r\n\r\nCan we implement a large-scale forest\u2014down to individual trees\u2014as a digital twin on the web? We asked this question, and then we did it. The answer: **yes, it works beautifully.**\r\n\r\nIn this project, we converted Korea Forest Service\u2019s *forest type map* into **OGC 3D Tiles** for web-based service. However, rather than stopping at generalized forest polygons, we focused on **individual tree-level data**\u2014which includes species, height, crown diameter, and other attributes per tree.\r\n\r\nThis level of detail is often considered impractical to visualize on the web due to data volume and complexity. So we challenged that assumption by rendering **3D models of real tree species**, each placed in their **actual location with correct height and size**, not just symbolic representations. And yes\u2014it works smoothly, in-browser.\r\n\r\nAll of this is made possible through the use of the **OGC 3D Tiles** standard. This means that once the data is converted, it becomes interoperable across multiple platforms: web, mobile, desktop GIS (QGIS, ArcGIS), and game engines (Unreal, Unity, O3DE, Omniverse) with no additional conversion required. This is the power of international open standards\u2014**true \u201cwrite once, use anywhere.\u201d**\r\n\r\nDespite Korea's rich geospatial data, usage is often hindered by spatial data security policies. However, this project demonstrates how even highly detailed and sensitive datasets like individual tree inventories can be made accessible and useful\u2014securely and efficiently.\r\n\r\nWith this, **digital twin forest management at the individual tree level** is no longer a distant future\u2014it\u2019s already happening.\r\n\r\n---\r\n\r\n### \ud83d\udcdd Acknowledgements\r\n\r\nThis study was carried out with the support of 'R&D Program for Forest Science Technology '(Project No. \"RS-2025-25404070\")' provided by Korea Forest Service(Korea Forestry Promotion Institute).", "recording_license": "", "do_not_record": false, "persons": [{"code": "ENHDVS", "name": "Kim Jinho", "avatar": "https://talks.staging.osgeo.org/media/avatars/znkim_B05phkj.JPG", "biography": "I am a GIS software developer at Gaia3D, Inc.\r\nFor the past 4 years, I\u2019ve been working in the research department, focusing on R&D projects and open-source product development.\r\nMy work includes developing technologies such as water simulation, atmospheric diffusion, and noise analysis model visualization.\r\nI\u2019ve also contributed to open-source tools including mago-3d-tiler, 3D Tiles generator, and mago-3d-terrainer, a Java version Cesium quantized-mesh generator.", "public_name": "Kim Jinho", "guid": "9198537d-90d1-53b8-a7df-407211fb41b5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ENHDVS/"}, {"code": "KWWRVN", "name": "Heejin Ha", "avatar": null, "biography": "Hello:D\r\nI\u2019m Heejin Ha, a developer at Gaia3D, Inc. in South Korea.\r\nI focus on web-based geospatial applications using open standards like OGC 3D Tiles, especially for 3D digital twins and forest visualization.", "public_name": "Heejin Ha", "guid": "42f75148-dc81-56b8-8559-6fe491b38e0c", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KWWRVN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KMKEFP/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KMKEFP/", "attachments": []}, {"guid": "0eadbb0f-b476-55ba-ba56-857da2363dda", "code": "3YLPQV", "id": 4317, "logo": null, "date": "2025-11-21T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4317-who-pays-your-bills-sustainability-community-and-business-the-open-source-triangle", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3YLPQV/", "title": "Who Pays Your Bills? Sustainability, Community and Business: The Open Source Triangle", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "Learn how OPENGIS.ch built a sustainable business on QGIS and QField\u2014where open source, community, and entrepreneurship come together to create real, lasting impact.", "description": "\"Who pays your bills?\" was the first question my now-CTO asked me\u2014back when we didn\u2019t even know each other. Years later, we co-founded OPENGIS.ch, a company that thrives on open-source software. In this talk, I\u2019ll share our journey building a sustainable business model around QGIS and QField, explain how the QGIS.org community works, and show why open source is not just a philosophy, but a real business opportunity. We\u2019ll explore sustainability, community, and entrepreneurship\u2014the triangle that allows open-source software to flourish and its contributors to make a living from it.", "recording_license": "", "do_not_record": false, "persons": [{"code": "8VUFRV", "name": "Marco Bernasocchi", "avatar": "https://talks.staging.osgeo.org/media/avatars/094d5f0768ac7ead78be67b37dffe778_yJmXEAG.jpg", "biography": "Marco Bernasocchi is an open-source advocate, entrepreneur and full-stack geoninja. He is the creator of QField for QGIS, currently serves as QGIS.org Chair, and is an Open Source Geospatial Foundation board member. In his day job, Marco is the CEO of OPENGIS.ch, which he founded in 2011.\r\n\r\nA geographer by trade, Marco lives in a small Romansh-speaking mountain village in Switzerland, where he loves scrambling around the mountains to enjoy the feeling of freedom it gives him. Outgoing, flexible and open-minded, Marco fluently speaks five languages. The best thing is: He not only knows how to say it but also loves sharing his know-how.", "public_name": "Marco Bernasocchi", "guid": "00b3a94c-7e92-536b-a523-23e3d6f35d31", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8VUFRV/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3YLPQV/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3YLPQV/", "attachments": []}, {"guid": "04d9a1b5-a8d0-5131-9bdb-948fbfdc1753", "code": "PJDVGR", "id": 4396, "logo": null, "date": "2025-11-21T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4396-stac-101-what-you-really-need-to-know", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PJDVGR/", "title": "STAC 101: What You Really Need to Know", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "STAC 101 covers the essentials of the SpatioTemporal Asset Catalog, with practical tips for users and data providers to publish, find, and use geospatial data effectively.", "description": "The SpatioTemporal Asset Catalog (STAC) is an open standard that\u2019s reshaping how we find, share, and use geospatial and Earth observation data. This session gives new users and data providers the practical essentials for getting started with STAC and using it well.\r\n\r\nWe\u2019ll break down the core concepts\u2014Catalogs, Collections, Items, and Extensions\u2014and explain how they fit together to organize spatiotemporal data in a modern, cloud-native way. For users, we\u2019ll cover how to search, filter, and work with STAC data efficiently. For data providers, we\u2019ll share best practices for publishing well-structured metadata, choosing extensions, and lessons learned from real-world implementations.\r\n\r\nAttendees will leave with clear, actionable tips to avoid common pitfalls and get the most out of the growing STAC ecosystem\u2014whether you\u2019re building your first Collection or just trying to find and use data more effectively.", "recording_license": "", "do_not_record": false, "persons": [{"code": "W8MQ89", "name": "Matthew Hanson", "avatar": "https://talks.staging.osgeo.org/media/avatars/a69872d70b97e337c047d8ecbcbc1721_9pXlOo0.jpg", "biography": "Matthew Hanson is a Director at Element 84, where he leads teams developing cloud-native solutions for managing and delivering geospatial and Earth observation data. He is a long-time advocate for open-source geospatial software and open standards, with deep involvement in the development and adoption of STAC (SpatioTemporal Asset Catalog) and related tooling. 2025 marks his 11th FOSS4G, reflecting his commitment to collaboration, community building, and pushing the geospatial ecosystem forward through practical, modern data workflows.", "public_name": "Matthew Hanson", "guid": "34571de8-ba9d-535a-8911-1af18c5fe91f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/W8MQ89/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PJDVGR/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PJDVGR/", "attachments": []}, {"guid": "45e66642-3ca5-572a-8648-1a1045101869", "code": "PPJD3Y", "id": 4443, "logo": null, "date": "2025-11-21T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4443-the-problem-in-open-data-is-not-the-data-but-the-operations-and-the-role-of-re-earth-cms", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PPJD3Y/", "title": "The Problem in Open Data Is Not the Data, but the Operations \u2014 and the Role of Re:Earth CMS", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Open Data in Japan is growing, but daily operations\u2014structuring, updating, and cross-team management\u2014remain challenging. This talk introduces how Re:Earth CMS, an open-source, model-based and collaborative tool, offers a lightweight approach to making Open Data more usable and sustainable.", "description": "As Open Data initiatives continue to grow across Japan, the volume and diversity of public datasets are increasing rapidly. Many municipalities now operate their own data catalogs and are working toward greater accessibility and transparency. However, once Open Data enters everyday operation, a set of common global challenges emerges:\r\n- Inconsistent structures and formats\r\n- Maintenance and updates relying on individual effort\r\n- Difficulty coordinating across departments\r\n- Limited connection between catalogs and databases\r\n- Data that is published but not easily consumable by systems or applications\r\nThese issues are not shortcomings of any single organization\u2014they reflect the broader operational challenges faced by Open Data worldwide. Data can be published, but sustaining, organizing, and integrating it remains difficult.\r\n\r\nThis talk reframes Open Data through the lens of operations rather than publishing and introduces the role of Re:Earth CMS:\r\nan open-source, multi-user, model-based, schema-driven tool designed to support lightweight, sustainable, and integrable data operations.\r\n\r\nBy enabling structured datasets, collaborative editing, and API-ready outputs, Re:Earth CMS helps bridge the gap between Open Data catalogs and real-world digital applications, including urban systems, visualization tools, and civic technology.\r\n\r\nWe hope this session offers a new perspective on what it means to \u201coperate\u201d Open Data and how we can collectively move from publishing files to managing data as a continuous practice.", "recording_license": "", "do_not_record": false, "persons": [{"code": "NXZKP7", "name": "RED (XU CONG)", "avatar": "https://talks.staging.osgeo.org/media/avatars/044647f54f91c9ee601fed563881b375_l1UARF7.png", "biography": "- Product designer exploring the intersection of design, geospatial technology, and digital art.\r\n- Based in Tokyo, crafting visual-first tools that help cities and communities see, understand, and shape their data.\r\n- Interested in how open data and spatial computing can empower public dialogue and collective decision-making.", "public_name": "RED (XU CONG)", "guid": "fb12dc70-eaa0-5c8b-b9cd-c855579f3b47", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NXZKP7/"}, {"code": "LLEZLA", "name": "Kazuma Tsuchiya", "avatar": null, "biography": "A software engineer specializing in Web and GIS.", "public_name": "Kazuma Tsuchiya", "guid": "4fafb747-bebe-5943-a63f-d763909355d0", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LLEZLA/"}, {"code": "DB9888", "name": "Maher Alhamoui", "avatar": null, "biography": "Software developer at Eukarya. Passionate about open source. First time joining FOSS4G", "public_name": "Maher Alhamoui", "guid": "27bdd6fb-82b9-5630-aa3d-4365b9bde904", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/DB9888/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PPJD3Y/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PPJD3Y/", "attachments": []}, {"guid": "17c74544-2693-5f99-b58e-6ce1130fdc0f", "code": "8JFWXD", "id": 4447, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/8JFWXD/Screenshot_2025-07-11_at_10.44.57_iPkoWIK.png", "date": "2025-11-21T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG403", "slug": "foss4g-2025-4447-deck-gl-state-of-the-union-2025-globe-view-react-widgets-and-webgpu-readiness", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8JFWXD/", "title": "deck.gl State of the Union 2025: Globe View, React Widgets, and WebGPU Readiness", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "Comprehensive update on [deck.gl](https://deck.gl)'s latest developments from a core maintainer. Discover seamless [MapLibre globe integration](https://deck.gl/examples/maplibre), powerful widget system, WebGPU and more. Learn how these advances position deck.gl as the leading open-source framework for high-performance web geospatial visualization.", "description": "This State of the Union talk will showcase how deck.gl continues to evolve as the premier open-source solution for high-performance geospatial visualization on the web. Some highlights:\r\n\r\n### Globe View Integration with MapLibre\r\n\r\nThe most visually striking advancement is seamless integration with MapLibre's globe view. This collaboration between the deck.gl and MapLibre teams represents a major milestone for open-source geospatial visualization.\r\n\r\nThe `GlobeView` has been updated to match MapLibre's camera positioning at equivalent zoom levels, ensuring consistent user experiences. The `MapboxOverlay` component now works effortlessly with maplibre-gl globe maps, eliminating previous integration complexity. This advancement opens new possibilities for global-scale data visualization, from climate modeling to satellite imagery analysis.\r\n\r\n### Powerful UI Widget System\r\n\r\ndeck.gl's widget system provides developers with reusable UI components that integrate seamlessly with the visualization pipeline. Users can simply add widgets to their applications without being forced into any particular framework, while maintaining full compatibility with React applications when needed.\r\n\r\nThe comprehensive widget ecosystem includes ResetViewWidget for navigation controls, ScaleWidget for map scale indication, GeocoderWidget for address search integration, ScreenshotWidget for image export capabilities, LoadingWidget for data loading states, ThemeWidget for consistent styling, InfoWidget for contextual information display, and SplitterWidget for comparative visualizations.", "recording_license": "", "do_not_record": false, "persons": [{"code": "QEWFVN", "name": "Felix Palmer", "avatar": "https://talks.staging.osgeo.org/media/avatars/T08SE2FMZLP-U08SE2FNE0P-9f7bbe65c4f7-512_uLCdC4B.jpg", "biography": "Master in Physics by the University of Oxford. Primary maintainer of [deck.gl](https://deck.gl), the leading open-source framework for high-performance web geospatial visualization. Creator of [A5](https://a5geo.org), an innovative pentagonal spatial indexing system with truly equal area cells that offers superior accuracy and lower distortion than traditional hexagonal approaches.", "public_name": "Felix Palmer", "guid": "3f4b2ac6-357e-5b9a-ac02-90b8959fe22a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/QEWFVN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8JFWXD/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8JFWXD/", "attachments": []}, {"guid": "b677771d-aca0-5b34-8245-033229225ed7", "code": "QLJWL8", "id": 4679, "logo": null, "date": "2025-11-21T15:30:00+13:00", "start": "15:30", "duration": "00:30", "room": "WG403", "slug": "foss4g-2025-4679-the-space-between-where-open-data-matures-into-infrastructure", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QLJWL8/", "title": "The Space Between: Where Open Data Matures Into Infrastructure", "subtitle": "", "track": "Keynote", "type": "Keynote", "language": "en", "abstract": "Open data has delivered access, but not connection. This talk explores the space between silos, the overlooked disconnect where open data must evolve to become infrastructure.", "description": "Open data has delivered access, but not connection. Datasets are frequently released in isolation, without the shared foundations that make them interoperable or enduring. This talk explores the space between those silos, the overlooked disconnect where open data must evolve to become infrastructure. In that space, openness shifts from publishing files to maintaining shared identifiers, schemas, and governance, the connective framework that allows data to work together. Drawing on the experience of the Overture Maps Foundation, this talk examines how open data can mature into open systems, and how treating data as infrastructure can transform fragmented efforts into something stable, trustworthy, and collaborative. The goal is not simply more openness, but a more connected foundation: data that is open, usable, and part of the world\u2019s common infrastructure.", "recording_license": "", "do_not_record": false, "persons": [{"code": "3HEFRV", "name": "Amy Rose", "avatar": null, "biography": "Amy is the Chief Technology Officer at Overture Maps Foundation where she is responsible for guiding Overture's technical roadmap, infrastructure design, and data interoperability strategy. Her previous work in the geospatial domain spans nearly 30 years, designing, building, and deploying geospatial data and technology solutions for human health and security, environmental remediation, logistics, and transportation planning projects. \r\nAmy has worked for multiple organizations across the academic, private sector, and government ecosystems, most recently at Oak Ridge National Laboratory where she worked with interdisciplinary teams to model and map both the built environment and highly resolved estimates of human population at global scale. Amy received her PhD in Geography from The University of Tennessee, and an MS in Geography with a graduate minor in Logistics and Transportation.", "public_name": "Amy Rose", "guid": "25e80eef-91ec-502e-a774-bbfce8a91477", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/3HEFRV/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QLJWL8/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QLJWL8/", "attachments": []}, {"guid": "018c501b-62ed-552a-88c9-199b869faf7e", "code": "LFFVJ7", "id": 4322, "logo": null, "date": "2025-11-21T16:00:00+13:00", "start": "16:00", "duration": "00:30", "room": "WG403", "slug": "foss4g-2025-4322-scaling-impact-enabling-open-source-adoption-in-business-and-government", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LFFVJ7/", "title": "Scaling Impact: Enabling Open Source Adoption in Business and Government", "subtitle": "", "track": "Keynote", "type": "Keynote", "language": "en", "abstract": "Open source communities have created transformative technologies, but many organisations still hesitate to adopt them fully. This presentation explores practical ways open source contributors can make their projects more approachable, sustainable, and strategically valuable to businesses and governments.", "description": "Open source has become foundational to modern technology, yet businesses and public institutions often treat it with suspicion or uncertainty. For open source communities, this represents both a challenge and an opportunity: how do we adapt our practices to meet the expectations of organizations that require predictability, accountability, and clear value?\r\nThis session is designed for developers, project maintainers, and advocates who want to see their work adopted more widely in enterprise and government contexts. We\u2019ll cover:\r\n- Understanding orgnisational barriers\r\n- Improving project readiness for adoption\r\n- Aligning with compliance and legal requirements\r\n- Building trust and communicating value.", "recording_license": "", "do_not_record": false, "persons": [{"code": "X9GTBN", "name": "Ana Belgun", "avatar": "https://talks.staging.osgeo.org/media/avatars/Terria-Ana_Belgun_GYilPwV.jpg", "biography": "Ana Belgun is a co-founder of Terria, where she is committed to making spatial data and digital twin technologies more accessible and impactful for both technical and non-technical users. With a background in geospatial solutions, Ana is dedicated to driving open source initiatives that empower organizations in government, business, and research sectors to harness the full potential of spatial data.", "public_name": "Ana Belgun", "guid": "886d3c5a-7994-5193-9513-277a3b509b98", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/X9GTBN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LFFVJ7/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LFFVJ7/", "attachments": []}, {"guid": "914b7096-ab9a-5b6c-9c56-038bd0dba747", "code": "RMCL9D", "id": 4676, "logo": null, "date": "2025-11-21T16:30:00+13:00", "start": "16:30", "duration": "01:00", "room": "WG403", "slug": "foss4g-2025-4676-closing-ceremony", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RMCL9D/", "title": "Closing Ceremony", "subtitle": "", "track": "Ceremony", "type": "Closing Ceremony", "language": "en", "abstract": "The Closing Ceremony of FOSS4G 2025 Auckland", "description": "The Closing Ceremony of FOSS4G 2025 Auckland", "recording_license": "", "do_not_record": false, "persons": [], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RMCL9D/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RMCL9D/", "attachments": []}, {"guid": "1dc26105-f5cb-5df3-9756-232aadbe7d7f", "code": "HPMPYE", "id": 4685, "logo": null, "date": "2025-11-21T17:30:00+13:00", "start": "17:30", "duration": "00:45", "room": "WG403", "slug": "foss4g-2025-4685-agm-osgeo", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HPMPYE/", "title": "AGM - OSGeo", "subtitle": "", "track": "AGM", "type": "AGM", "language": "en", "abstract": "OSGeo Global Annual General Meeting", "description": "OSGeo Global Annual General Meeting", "recording_license": "", "do_not_record": false, "persons": [{"code": "DUUVVD", "name": "Vicky Vergara", "avatar": "https://talks.staging.osgeo.org/media/avatars/30d07ab4c5a21860824dcb1fcf0d1313_Geucnfi.jpg", "biography": "I am an Economist and Computer Scientist, pgRouting fan and developer.\r\n\r\nOpen Source Software advocate.\r\n\r\n* pgRouting project leader and developer since 2013 Including the subproducts:\r\n  * pgRouting,\r\n  * pgRoutingLayers,\r\n  * osm2pgRouting.\r\n* Google Summer of Code mentor since 2015\r\n* FOSS4G speaker since 2015\r\n* PSC member of OSGeoLive\r\n* Currently member of the Board of Directors of the OSGeo Foundation.", "public_name": "Vicky Vergara", "guid": "bd0eba48-aba6-505b-90ab-a3e30b7365ae", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/DUUVVD/"}, {"code": "H8LVLX", "name": "Tom Kralidis", "avatar": "https://talks.staging.osgeo.org/media/avatars/83c097f0f3c7bcea5f7fb0eaf41b00a5_vB70GlK.jpg", "biography": "Tom Kralidis is with the Meteorological Service of Canada and longtime contributor to FOSS4G. He leads and contributes to numerous projects in the Geopython ecosystem.  He is the 2024 recipient of the Sol Katz Award for Free and Open Source Software for Geospatial (FOSS4G), awarded annually by OSGeo to individuals who have demonstrated leadership in the FOSS4G community.\r\n\r\nTom is the co-chair of the OGC API - Records Standards Working Group, chair of the WMO Expert Team on Metadata, and serves on the OSGeo Board of Directors.  He is the 2024 recipient of the Sol Katz award.", "public_name": "Tom Kralidis", "guid": "9428ef15-62ef-5dd8-b134-61bd98b184f5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/H8LVLX/"}, {"code": "BS3TXT", "name": "Angelos Tzotsos", "avatar": "https://talks.staging.osgeo.org/media/avatars/Tzotsos_qT4GFYI.jpg", "biography": null, "public_name": "Angelos Tzotsos", "guid": "fe45042b-4333-5c18-85f6-34c9dc471f06", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BS3TXT/"}, {"code": "8VUFRV", "name": "Marco Bernasocchi", "avatar": "https://talks.staging.osgeo.org/media/avatars/094d5f0768ac7ead78be67b37dffe778_yJmXEAG.jpg", "biography": "Marco Bernasocchi is an open-source advocate, entrepreneur and full-stack geoninja. He is the creator of QField for QGIS, currently serves as QGIS.org Chair, and is an Open Source Geospatial Foundation board member. In his day job, Marco is the CEO of OPENGIS.ch, which he founded in 2011.\r\n\r\nA geographer by trade, Marco lives in a small Romansh-speaking mountain village in Switzerland, where he loves scrambling around the mountains to enjoy the feeling of freedom it gives him. Outgoing, flexible and open-minded, Marco fluently speaks five languages. The best thing is: He not only knows how to say it but also loves sharing his know-how.", "public_name": "Marco Bernasocchi", "guid": "00b3a94c-7e92-536b-a523-23e3d6f35d31", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8VUFRV/"}, {"code": "BZBDEX", "name": "Jeroen Ticheler", "avatar": "https://talks.staging.osgeo.org/media/avatars/da1c26c299d7412be435dbe2e0a20616_E6dTxPM.jpg", "biography": "As director and owner of GeoCat, founder of GeoNetwork and board member of OSGeo, I\u2019m obsessed with helping organizing data using free and open source software in a sustainable way. \r\nI started my career at the United Nations supporting Early Warning Systems with satellite imagery and quickly moved to also support the management of geospatial data. Now, 25 years onwards, the software we develop runs at over 85% of national geoportal end points in Europe and is in use at all levels in governments around the world.", "public_name": "Jeroen Ticheler", "guid": "0a92428e-c543-5ff1-a4bc-14ebad12f694", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BZBDEX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HPMPYE/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/HPMPYE/", "attachments": []}], "WG308 TE IRINGA": [{"guid": "935e8dbb-24ff-5348-aaf0-09c82a1ad88a", "code": "UY3SBT", "id": 4314, "logo": null, "date": "2025-11-21T09:00:00+13:00", "start": "09:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4314-lonboard-fast-interactive-geospatial-vector-data-visualization-in-python", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UY3SBT/", "title": "Lonboard: Fast, interactive geospatial vector data visualization in Python", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "Interactive visualization is often a precursor to extracting meaningful insights from data. Lonboard provides 30-40x faster performance for visualizing geospatial vector data than other Python libraries, supporting millions of coordinates.", "description": "Visualization, especially interactive visualization, is often the initial step in extracting meaningful insights from data. But it's too hard to quickly and interactively visualize large geospatial vector data in Python.\r\n\r\n[Ipyleaflet](https://ipyleaflet.readthedocs.io/en/latest/) and [Folium](https://python-visualization.github.io/folium/latest/) are great for small datasets, but their performance quickly suffers as data sizes grow into the tens of thousands. [Pydeck](https://deckgl.readthedocs.io/en/latest/) supports slightly larger datasets, but it, too, struggles with data sizes above 100,000 coordinates.\r\n\r\nThis presentation introduces [Lonboard](https://developmentseed.org/lonboard/latest/), a cutting-edge open-source Python library designed to address this challenge by enabling fast, interactive geospatial vector data visualization within Jupyter notebooks.\r\n\r\nLonboard's performance stems from its innovative architecture, built on four key technologies: [deck.gl](https://deck.gl/) for GPU-accelerated rendering, [GeoArrow](https://geoarrow.org/) for efficient in-memory representation, [GeoParquet](https://geoparquet.org/) for optimized data transfer to the browser, and [anywidget](https://anywidget.dev/) for easy Jupyter integration.\r\n\r\nOn a dataset with 3 million points, Ipyleaflet crashed after 3.5 minutes, Pydeck crashed after 2.5 minutes, but Lonboard successfully rendered in 2.5 **seconds**.\r\n\r\nThis talk will give a brief overview of the internal innovations that make Lonboard so fast, then detail how to make the most of Lonboard's high-level APIs for visualizing large data.", "recording_license": "", "do_not_record": false, "persons": [{"code": "LYUBSM", "name": "Kyle Barron", "avatar": "https://talks.staging.osgeo.org/media/avatars/dca7f43205de8dee5dfce1a6faaedfd8_AMOJrt5.jpg", "biography": "Kyle is a cloud engineer at Development Seed. He builds open source tools and infrastructure that process and visualize geospatial data. Kyle is particularly excited about cloud-native vector data formats, speeding up Python and JavaScript applications from Rust, spatial indexes, and efficient data pipelines.\r\n\r\nBefore joining Development Seed, Kyle previously worked as a software engineer at Unfolded and then Foursquare, building geospatial data visualizations on the web for vector and raster data.\r\n\r\nBased in New York City, Kyle spends time running in Central Park, exploring the city, and dodging tourists. Kyle is a graduate of University of California, Los Angeles where he received a B.A. in Economics with a minor in Mathematics.", "public_name": "Kyle Barron", "guid": "b7ee3f79-9370-557a-9955-63adc40f9179", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LYUBSM/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UY3SBT/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UY3SBT/", "attachments": []}, {"guid": "957b40b2-27a1-5454-9bbf-5df5db3fc986", "code": "A8EV98", "id": 3767, "logo": null, "date": "2025-11-21T09:30:00+13:00", "start": "09:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-3767-building-spatial-apis-in-postgresql-with-postgrest", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/A8EV98/", "title": "Building Spatial APIs in PostgreSQL with PostgREST", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "Learn how to turn your PostgreSQL database into a powerful RESTful API using PostgREST. This talk focuses on exposing geospatial data and leveraging PostGIS functions to build scalable, efficient spatial APIs\u2014all without writing a single line of backend code.", "description": "In this talk, we\u2019ll explore how you can create powerful, production-ready spatial APIs directly from your PostgreSQL database using PostgREST. PostgREST is an open-source tool that automatically generates a RESTful API from your database schema, eliminating the need for custom backend code. By integrating PostGIS, the geospatial extension for PostgreSQL, we\u2019ll see how spatial data like points, polygons, and raster layers can be exposed through clean, performant REST endpoints.\r\nWe'll walk through the setup process, including enabling PostGIS, configuring PostgREST, and writing SQL views or functions to expose spatial operations. You'll learn how to use PostGIS functions\u2014like distance calculations, spatial joins, and bounding box filters\u2014directly through the API. We\u2019ll also discuss how to secure, paginate, and filter spatial data, making your API both powerful and user-friendly.\r\nWhether you're a GIS developer, a backend engineer, or just curious about spatial data, this session will give you practical tools to build and scale spatial APIs using only SQL. By the end, you'll have a clear roadmap to go from a PostgreSQL database to a fully-featured geospatial API ready for frontend integration or data sharing.", "recording_license": "", "do_not_record": false, "persons": [{"code": "J7Z7F8", "name": "krishna lodha", "avatar": "https://talks.staging.osgeo.org/media/avatars/me_nr4yySK.jpg", "biography": "Krishna Lodha is the founder and director of [Rotten Grapes Private Limited](https://rottengrapes.tech/), a software development company specializing in open-source GIS solutions. With a strong background in geospatial technologies and a passion for FOSS, Krishna has led the development of several impactful Web GIS applications for clients across forestry, agriculture, water management, and urban planning sectors. Under his leadership, the company has successfully deployed solutions that leverage platforms like GeoServer, OpenLayers, and QGIS, helping government and private organizations optimize their spatial data workflows.\r\n\r\nKrishna is also a content creator who shares knowledge through [YouTube tutorials](https://www.youtube.com/@krishnaglodha) and [technical blogs](https://medium.com/rotten-grapes) focused on open-source GIS development. His work emphasizes practical, scalable solutions using open standards and tools, aiming to make geospatial technology more accessible to developers and analysts alike.\r\n\r\nAn advocate for community-driven innovation, Krishna regularly mentors students and professionals interested in building careers in geospatial software. He actively participates in open-source projects and contributes to the broader FOSS4G ecosystem.", "public_name": "krishna lodha", "guid": "31289962-4743-536d-bb09-b711c119b4c5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/J7Z7F8/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/A8EV98/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/A8EV98/", "attachments": []}, {"guid": "0f5dfbce-4799-51bf-b068-a41bd56ec2ef", "code": "DMQZ3Z", "id": 4333, "logo": null, "date": "2025-11-21T10:00:00+13:00", "start": "10:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4333-re-discover-qfield-cloud", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DMQZ3Z/", "title": "[Re]discover QField[Cloud]", "subtitle": "", "track": "Desktop GIS & Data Collection", "type": "Talk", "language": "en", "abstract": "Since its initial release, QField\u2019s collaborative cloud project management QFieldCloud has seen a steady capabilities growth. This talk aims at introducing some of the more advanced functionalities introduced in the last year or so to new and preexisting users.", "description": "The talk will go over QFieldCloud functionalities and refinement that have been released in the last year or so, including shared datasets to better manage storage space, on-demand attachments, near-real time positioning of field workers, and more!", "recording_license": "", "do_not_record": false, "persons": [{"code": "PESSWX", "name": "Berit Mohr", "avatar": "https://talks.staging.osgeo.org/media/avatars/Berit_Mohr_Kreis_8eTbusr.png", "biography": "Berit Mohr is a passionate GIS enthusiast and advocate for open-source software. In October 2024, she joined OPENGIS.CH as a GIS specialist, where she advises, trains, and manages small and big projects.\r\nHaving lived in New Zealand for 10 years, she has had the chance to gain extensive experience across academia, the private sector, and development cooperation. Berit brings a global perspective to her work enhancing her talent for teaching and translating across languages.\r\nIn her free time, Berit enjoys exploring the outdoors with her bike, tending her garden, and hiking in the mountains, spending every possible moment in nature.", "public_name": "Berit Mohr", "guid": "47c7f1e2-7abf-5c66-974a-78217c153c5d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/PESSWX/"}, {"code": "UVNRZV", "name": "Mathieu Pellerin", "avatar": null, "biography": "Mathieu Pellerin is the QField lead developer and project owner over at OPENGIS.ch as well as a QGIS core developer. While starting mainly focused on user interface improvements, Mathieu has over the year touched on many parts of QGIS from symbology to data providers and the processing toolbox.", "public_name": "Mathieu Pellerin", "guid": "40a7abe0-bdfb-52f9-9aa7-d2c35829e54a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/UVNRZV/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DMQZ3Z/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DMQZ3Z/", "attachments": []}, {"guid": "35b51516-4c58-5396-89f4-bddd601118a2", "code": "N3KH8B", "id": 4352, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/N3KH8B/foss4g-smap-apart_Vvfjjjj.png", "date": "2025-11-21T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4352-in-cesiumjs-deck-gl-ai-based-digital-twin-service-with-conversational-interface", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/N3KH8B/", "title": "In CesiumJS & Deck.gl, AI-based Digital Twin Service with Conversational Interface", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "We present an AI-based conversational Digital Twin service leveraging open-source technologies such as CesiumJS and Deck.gl. This service enables 3D map control and geospatial information exploration through voice or text, supporting complex queries and real-time 3D visualization to deliver an intuitive user experience.", "description": "In this presentation, we introduce an innovative AI-based conversational Digital Twin service that enables users to control a 3D map and easily explore geospatial information through voice or text commands.\r\n\r\nThis service combines AI technology with S-Map, a 3D platform that integrates all spatial information of Seoul. It leverages open-source technologies such as CesiumJS for high-precision geospatial 3D rendering and Deck.gl for advanced data visualization, providing a rich geospatial interface.\r\n\r\nIn the previous of S-Map, users had to go through up to 11 steps using a mouse and keyboard to retrieve specific spatial data\u2014such as apartment rental statistics by district. Now, with a simple command like \"Show me the apartment rental transaction statistics by district\", the desired results appear instantly.\r\n\r\nThe service supports a wide range of functions, including real estate search, building design simulation, city comparison, location search, map manipulation, and layer management\u2014all through a conversational chat interface. By combining AI technologies with open-source tools, the system supports complex queries, real-time 3D visualization, and multi-turn interactions\u2014making geospatial data more accessible for users.\r\n\r\n\r\n\r\nThis work is supported by the Korea Agency for Infrastructure Technology Advancement(KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant RS-2022-00143336, NTIS Grant: 2610000396).", "recording_license": "", "do_not_record": false, "persons": [{"code": "Z8DMDB", "name": "Sanghee Shin", "avatar": "https://talks.staging.osgeo.org/media/avatars/Sanghee_2_yZmun7d.jpg", "biography": "Mr. Sanghee Shin is the founder and CEO of Gaia3D, an geospatial software company in Korea. He studied Environmental GIS at Seoul National University and Business Administration at KAIST (Korea Advanced Institute of Science and Technology). With over 20 years of experience in global open-source initiatives, he chaired the International FOSS4G 2015 Seoul conference and served on the board of the OSGeo (Open Source Geospatial) Foundation for two years. He is a passionate advocate for open-source, open standards, and open data. He currently leads the mago3D project, a web-based digital twin platform for managing and visualizing various spatial data, simulations, and modeling results. His primary interests include open-source, GeoBIM, digital twins, and smart cities.", "public_name": "Sanghee Shin", "guid": "d40d518d-19df-5886-abf5-fa8638f7dd69", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/Z8DMDB/"}, {"code": "CMTXXU", "name": "JaeSeon, Kim", "avatar": null, "biography": null, "public_name": "JaeSeon, Kim", "guid": "63a581b2-785a-594d-b5f1-f07229f251f3", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/CMTXXU/"}, {"code": "HMWH8F", "name": "Hyeeun Ahn", "avatar": null, "biography": "SW Developer (Gaia3D corp, Inc)", "public_name": "Hyeeun Ahn", "guid": "7a87b9b7-68fd-55e2-893c-719b888d8393", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/HMWH8F/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/N3KH8B/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/N3KH8B/", "attachments": []}, {"guid": "7fb8584b-71f4-5f06-b840-9b433eba8094", "code": "GJSSXJ", "id": 4206, "logo": null, "date": "2025-11-21T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4206-openness-and-collaboration-as-strategic-choices-case-national-land-survey-of-finland", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GJSSXJ/", "title": "Openness and Collaboration as Strategic Choices \u2013 case National Land Survey of Finland", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "This talk is about why National Land Survey of Finland made a strategic decision to use open solutions and collaborate actively with other agencies and OS communities. The talk will outline our experiences on open solutions and collaboration, as well as plans to strengthen the collaborative efforts going forward.", "description": "The National Land Survey of Finland has been an active user, and increasingly a developer, of FOSS4G solutions related to our core tasks for nearly two decades now. We also made a strategic decision in 2020 to leverage open source solutions for our major business critical IT systems.\r\n\r\nFollowing the strategic decision, the National Land Survey of Finland started building a new topographic data production system on open source components in autumn 2020. Core components of the system include QGIS, PostgreSQL/PostGIS and QField for field work.\r\n\r\nDuring spring 2025, the system was taken into full production use. Now it is time to put even more focus on the collaborative aspects: how we collaborate with other authorities, the QGIS user community and with IT companies to ensure continuity of the solution.\r\n\r\nThis talk will describe\r\n-\tOn what grounds we made the strategic decision of using open source\r\n-\tWhat are our most recent experiences with the open solution and collaboration\r\n-\tHow we are organizing collaboration in Finland with other stakeholders\r\n-\tHow we are looking at engaging in further collaboration with open source communities to ensure continuity of the solution\r\n-\tMost importantly, what benefits every public sector organization can gain by using and investing in open solutions.", "recording_license": "", "do_not_record": false, "persons": [{"code": "MPCZJR", "name": "Jani Kylm\u00e4aho", "avatar": "https://talks.staging.osgeo.org/media/avatars/Kylm%C3%A4aho_Jani_03_small_L3Ztqw9.jpg", "biography": "Jani Kylm\u00e4aho has been working with geospatial data infrastructures, data production and distribution for 25 years. He has been involved in national and international collaboration and projects, working both for the public and private sector. During his career, Jani has contributed to extended use of open source geospatial solutions in the Finnish public sector. Currently Jani is the Chief Digital Officer at National Land Survey of Finland.", "public_name": "Jani Kylm\u00e4aho", "guid": "2a471734-e5dd-514f-ba8d-82e80c184a8e", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/MPCZJR/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GJSSXJ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GJSSXJ/", "attachments": []}, {"guid": "ea2e8fa6-9ba3-5727-9f89-32821d347856", "code": "JUTGUD", "id": 4493, "logo": null, "date": "2025-11-21T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4493-osgeo-and-ogc-mou-update", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JUTGUD/", "title": "OSGeo and OGC MoU update", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "Open Software and Open Standards are complementary pieces of the geospatial ecosystem. In 2022, OSGeo and OGC signed a new Memorandum of Understanding (MoU) that aims to benefit the mission and goals of both organizations.  This presentation will provide an update on collaboration, reference implementations, code sprints, and future plans.", "description": "Open Software and Open Standards are complementary pieces of the geospatial ecosystem. In January 2022, OSGeo and OGC signed a new and updated version of the Memorandum of Understanding (MoU) that aims to maximize the achievement of the mission and goals of both organizations. Execution of joint Code Sprints, identifying free and open source technologies that could be used as Reference Implementations for OGC Standards and validating OGC compliance tests are examples of activities that can take place within the scope of the agreement.\r\n\r\nThe current MOU can be found at https://www.osgeo.org/wp-content/uploads/MOU_OGC_OSGeo_2022_signed.pdf", "recording_license": "", "do_not_record": false, "persons": [{"code": "H8LVLX", "name": "Tom Kralidis", "avatar": "https://talks.staging.osgeo.org/media/avatars/83c097f0f3c7bcea5f7fb0eaf41b00a5_vB70GlK.jpg", "biography": "Tom Kralidis is with the Meteorological Service of Canada and longtime contributor to FOSS4G. He leads and contributes to numerous projects in the Geopython ecosystem.  He is the 2024 recipient of the Sol Katz Award for Free and Open Source Software for Geospatial (FOSS4G), awarded annually by OSGeo to individuals who have demonstrated leadership in the FOSS4G community.\r\n\r\nTom is the co-chair of the OGC API - Records Standards Working Group, chair of the WMO Expert Team on Metadata, and serves on the OSGeo Board of Directors.  He is the 2024 recipient of the Sol Katz award.", "public_name": "Tom Kralidis", "guid": "9428ef15-62ef-5dd8-b134-61bd98b184f5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/H8LVLX/"}], "links": [{"title": "OSGeo and OGC MoU update", "url": "https://docs.google.com/presentation/d/1FIodJ28XCOxttV1GmShSuHkVieRo2RTq2qnr8nKDdMk", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JUTGUD/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/JUTGUD/", "attachments": []}, {"guid": "385824cf-c46d-5c9c-9914-fe5619365a8f", "code": "SMF9HS", "id": 4480, "logo": null, "date": "2025-11-21T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4480-vector-tiles-and-geoserver-dynamic-vector-tiles-server-xyz-services-and-base-maps", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SMF9HS/", "title": "Vector tiles and GeoServer: dynamic vector tiles server, XYZ services, and base maps", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Did you know that GeoServer can both produce and consume vector tiles? Join to find out how.", "description": "Mapbox vector tiles have emerged as a popular format for delivering geospatial data, offering dynamic rendering and interactivity for modern web maps. While not an official OGC standard, this open specification has been widely adopted, making it a staple of web cartography. This presentation delves into GeoServer's evolving capabilities to serve Mapbox vector tiles, emphasizing recent enhancements and best practices.\r\n\r\nWe will explore how GeoServer leverages SLD and CSS to define the contents of vector tiles, ensuring tailored and efficient data delivery. New configuration options, such as label point generation, attribute selection and geometry coalescing, will be highlighted as tools to control and optimize tile outputs. Practical advice will also be provided for streamlining vector tile generation, helping users create seamless and scalable workflows.\r\n\r\nThe session will conclude with a look at how vector tiles can serve as an input for generating high-quality base maps in various coordinate reference systems. Using OpenMapTiles styles and Planetiler, we will demonstrate how to produce visually appealing, multi-projection base maps, unlocking the full potential of vector tiles for diverse applications.\r\n\r\nWhether you're building interactive maps or generating custom base maps, this talk will equip you with the knowledge and tools to make the most of GeoServer's vector tile capabilities.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SMF9HS/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SMF9HS/", "attachments": []}, {"guid": "05905f3a-bc58-5c69-97a2-5c3a74d22a4f", "code": "TEFJBU", "id": 4525, "logo": null, "date": "2025-11-21T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4525-geospatial-cloud-native-at-scale-linz-s-path-from-legacy-stacks-to-a-national-data-lake", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TEFJBU/", "title": "Geospatial Cloud-Native at Scale - LINZ\u2019s Path from Legacy Stacks to a National Data Lake", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Land Information New Zealand is transitioning from siloed, middleware-heavy systems to a cloud-native geospatial data lake, built on STAC, COG, COPC, PMTiles, and GeoParquet. We\u2019ll share our insights on modernising our data publishing, web mapping, analytics, and open data publishing across a complex national enterprise.", "description": "Land Information New Zealand (LINZ) is transforming its systems by replatforming a complex web of point-to-point feeds and isolated data stores in favour of a single, cloud-native geospatial data lake hosted on AWS. This shift involves pushing all datasets, including vector, tabular, raster, and point cloud data, into object storage and utilising STAC metadata and cloud-optimised formats. This approach decouples data producers from consumers, making the data more accessible, reusable, and self-describing from day one.\r\n\r\nWe are utilising open formats like PMTiles, COG, GeoParquet, and FlatGeobuf, enabling web applications, analytics, and external APIs to access the files through standard cloud tools. This eliminates the need for repetitive or ad-hoc ETL processes and reduces reliance on fragile bespoke solutions. \r\n\r\nThis presentation will discuss the progression from concept to pilot to production. Key topics will include metadata, versioning, incorporating data quality and lineage into our catalogue, and for both open and internal data. We will also share the organisational benefits, such as faster product creation, stable access patterns for both teams and customers, and a significant reduction in integration workloads. Additionally, we\u2019ll address the cultural shifts necessary to move away from outdated thinking.", "recording_license": "", "do_not_record": false, "persons": [{"code": "ALSACE", "name": "Jeremy Palmer", "avatar": "https://talks.staging.osgeo.org/media/avatars/JeremyPalmer_CHxmz7b.jpg", "biography": null, "public_name": "Jeremy Palmer", "guid": "1688bb4b-7b5b-58b9-bdd6-2eb3ee716a12", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ALSACE/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TEFJBU/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TEFJBU/", "attachments": []}, {"guid": "1c7dddbb-115f-5271-b4c5-957b5e24567c", "code": "AFFDDE", "id": 4533, "logo": null, "date": "2025-11-21T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG308 TE IRINGA", "slug": "foss4g-2025-4533-12-billion-tiles-later", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AFFDDE/", "title": "12 billion tiles later.....", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Reflections on the development and delivery of a free public national-scale basemap service, built using open standards, open data and FOSS tech.", "description": "Five years after launch, the Toit\u016b Te Whenua - Land Information New Zealand Basemaps service continues to grow and find new ways to make NZ's vast collections of open geospatial data simple for users to explore and build upon. This talk will provide a quick demo of the product, then dive into some of the trickier problems the Basemaps team has solved to keep the service dirt cheap, beautiful, and lightning-fast. You should leave with a clear idea of the potential outcomes and benefits of building something similar for your geography.", "recording_license": "", "do_not_record": false, "persons": [{"code": "9QHS7N", "name": "Jonathan Ball", "avatar": "https://talks.staging.osgeo.org/media/avatars/20231116_145306-EDIT_tfAJ0TN.jpg", "biography": "Jonathan is a product owner, focused on simplifying national-scale geospatial data. He has managed the LINZ data service and led the development of LINZ Basemaps.", "public_name": "Jonathan Ball", "guid": "1b44d2a4-4053-5a2a-b9c9-868a48abb46a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/9QHS7N/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AFFDDE/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/AFFDDE/", "attachments": []}], "WG126": [{"guid": "3f04f72a-f9c4-526d-9a22-909f5d572e6d", "code": "G8NLJY", "id": 4362, "logo": null, "date": "2025-11-21T09:00:00+13:00", "start": "09:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4362-open-source-gis-for-placemaking-education-a-gamified-framework-for-community-driven-urban-learning", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/G8NLJY/", "title": "Open Source GIS for Placemaking Education: A Gamified Framework for Community-Driven Urban Learning", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "This study presents a gamified educational framework for teaching urbanism using open-source tools. Combining MLIT PLATEAU (GIS data), Blender (3D modeling), and Godot (simulation), it enables youth to engage in participatory placemaking while learning spatial thinking and urban design through an accessible, interactive digital workflow.", "description": "This study introduces an innovative educational framework that integrates open-source tools, geospatial data, and gamification to enhance the teaching of urban planning and placemaking. It is specifically designed to provide young learners (particularly in schools, youth workshops, and community-based learning environments) with accessible, engaging, and interactive experiences that foster spatial awareness, critical thinking, and civic participation. At the core of this framework lies a reproducible pipeline built upon three key open-source technologies: MLIT PLATEAU (open GIS-based 3D city models), Blender (a 3D modeling and animation suite), and Godot (a lightweight, scriptable game engine). Together, these tools form a complete workflow for visualizing, simulating, and manipulating urban space through an open and participatory lens.\r\n\r\nThe methodology begins with the use of MLIT PLATEAU, Japan\u2019s national-scale open 3D geospatial dataset, which offers highly detailed, standardized models of buildings, land use, infrastructure, and terrain for dozens of cities across the country. These datasets are downloaded in CityGML or OBJ formats and imported into Blender using specialized plugins or preprocessing tools. Within Blender, the imported GIS data is converted into structured, editable 3D models that students can navigate, analyze, and reconfigure. For example, students can model new public spaces, add greenery, modify building forms, or simulate small-scale tactical interventions. Blender's node-based material system and animation capabilities also allow learners to visualize temporal changes (e.g., seasonal effects, traffic flows, construction stages), adding dynamic and narrative dimensions to their urban design proposals.\r\n\r\nBlender also plays a central role as a translation layer between GIS and game engines. After modeling and scene setup, assets are exported (typically in glTF, FBX, or OBJ formats) and imported into Godot, where the interactive and gamified layer of the project is developed. In Godot, students can script interactions using GDScript (a Python-like language), design basic user interfaces (UI), and simulate real-world phenomena such as walkability, visibility, accessibility, or user behavior. Example applications include:\r\n- creating a first-person walkthrough of a redesigned neighborhood;\r\n- developing a resource-management game to balance green space and development;\r\n- building a collaborative multiplayer simulation for participatory urban decision-making.\r\n\r\nThe integration of real-time simulation through Godot allows learners to test design hypotheses, observe user reactions, or iterate urban scenarios based on feedback\u2014all within an immersive, game-like environment. Importantly, this approach does not require high-end hardware or costly licenses, making it ideal for public schools, NGOs, or municipalities with limited digital infrastructure. The entire pipeline (GIS data (PLATEAU), 3D modeling (Blender), and simulation (Godot)) is fully open-source, ensuring transparency, reproducibility, and adaptability to local contexts worldwide.\r\n\r\nPedagogically, the framework introduces a novel mapping between Levels of Detail (LOD) (a concept borrowed from GIS and 3D modeling) and stages of learning progression. For instance, LOD1 models are used for early-stage orientation and spatial comprehension; LOD2/3 data facilitates site-specific design challenges; and custom-built LOD4 scenarios simulate detailed human-scale interventions. This layered approach supports differentiated instruction and curriculum design, enabling instructors to tailor activities to students\u2019 cognitive levels and technical skills.\r\n\r\nThe framework is situated within a broader discourse of open-source urbanism, tactical urbanism, and participatory design. It challenges traditional, expert-driven planning paradigms by promoting tools that empower communities and students to engage directly with spatial planning through iterative, visual, and interactive means. It also contributes to the field of geospatial education, offering a replicable methodology for integrating spatial literacy, creative modeling, and digital civic engagement into urban curricula. Ultimately, this study argues that a gamified, open-source approach to urban learning not only makes complex planning tools accessible but also nurtures the next generation of urban thinkers capable of co-creating inclusive and resilient urban futures.", "recording_license": "", "do_not_record": false, "persons": [{"code": "GUVYJ7", "name": "L\u00e9o Martial", "avatar": null, "biography": "I am an architect and urban designer with over a decade of experience in transport and urban planning. My professional background includes four years at AREP, the French railway design bureau, and two years at Nikken Sekkei.\r\n\r\nI earned a Ph.D. from Yokohama National University, supported by a MEXT scholarship. My doctoral research examined the synergy between trains and bicycles in Japan and Europe, with findings published in peer-reviewed journals and presented at international conferences.\r\n\r\nIn 2024, I taught as a part-time lecturer at several universities. I am currently a full-time research associate at Chuo University in Tokyo. I am deeply committed to urban regeneration, fostering international collaboration, engaging with multidisciplinary teams, and developing innovative modes of communication.", "public_name": "L\u00e9o Martial", "guid": "c1549876-f2c7-5a04-915d-690a3360f17e", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GUVYJ7/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/G8NLJY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/G8NLJY/", "attachments": []}, {"guid": "5471b3a2-1bc1-520c-bc19-3b478373b771", "code": "FPGJ7J", "id": 4546, "logo": null, "date": "2025-11-21T09:30:00+13:00", "start": "09:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4546-how-hot-and-communities-are-building-together-the-free-open-humanitarian-mapping-suite", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FPGJ7J/", "title": "How HOT and communities are building together the free & open humanitarian mapping suite", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "From aerial imagery, to digitization, field mapping and data use, we're building an integrated tech suite for humanitarian open mapping", "description": "How do we move from having no maps to using them effectively? We're building a set of open mapping tools for humanitarian use, developed with the help of communities around the world, drawing on shared experiences in disaster response, humanitarian relief, and community development.\r\n\r\nImagine taking a simple drone and quickly generating your own aerial imagery, then publishing it on an open repository. You can use this imagery for mapping, even creating your own AI models if you like. Then, go to the field and enrich your data with local knowledge, leveraging super-accessible citizen mapping tools for assistance. Combine all your data on a single map.\r\n\r\nHOT tools are already being used in a wide range of situations, not only in disaster response, but also in local business development, environmental projects, and innovative applications as communities adapt and make these tools their own.\r\n\r\nLet's explore how we\u2019re building this free and open mapping suite together, by people, for people.", "recording_license": "", "do_not_record": false, "persons": [{"code": "AQJKMM", "name": "Emilio Mariscal", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_1227_copy_qLhCSCH.jpeg", "biography": "I have 20+ years of experience working on software design & development. I'm currently serving as Software Engineering Manager @ Humanitarian OpenStreetMap Team (HOT)\r\n\r\nI worked for the e-commerce, logistics, health care, marketing, geospatial, AI and humanitarian sectors. I also created and implemented free and open source software.\r\n\r\nI'm a volunteer firefighter in a rural town in Argentina, where I work mostly on wildfires, forest protection, wildland rescue and mapping.", "public_name": "Emilio Mariscal", "guid": "42c5c786-4e52-5828-99dd-f1389bc1c52f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/AQJKMM/"}, {"code": "ZQKKLM", "name": "Leen", "avatar": "https://talks.staging.osgeo.org/media/avatars/Leen_Dhondt4_Ff2GAqe.JPG", "biography": "Leen is the Director of Technology and Data at the Humanitarian OpenStreetMap Team (HOT). Her drive: Connecting people through mapping for Social Good.\r\n\r\nThe HOT Technology team she leads co-creates open-source tools that empower communities to collaboratively create and use geospatial data for Good. \r\nBy democratizing access to this technology, the team enables communities to govern and protect their own data, use it to address local challenges, and actively participate in decision-making processes.\r\n\r\nWith over 15 years of experience in the geospatial industry across both public and private sectors, Leen has worked in diverse environments \u2014 from tackling development challenges in low-resource settings in Tanzania (Enabel) and the Democratic Republic of the Congo (WPF) to contributing to corporate geospatial business in Belgium (Capgemini) and Thailand (TomTom). \r\n\r\nLeen joined HOT's Technology Team in 2022, and has been leading it for the past three years, fostering innovation, collaboration, and community-driven impact.", "public_name": "Leen", "guid": "0ddc5004-2232-5048-ade3-cca2b47a56f9", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ZQKKLM/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FPGJ7J/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FPGJ7J/", "attachments": []}, {"guid": "25b00378-3031-51f1-89ba-3d362b7e4d01", "code": "DMDEVQ", "id": 4301, "logo": null, "date": "2025-11-21T10:00:00+13:00", "start": "10:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4301-fast-and-free-high-performance-webgl-geospatial-visualisation-using-lonboard-and-jupyter-notebooks", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DMDEVQ/", "title": "Fast and Free: High-performance WebGL geospatial visualisation using Lonboard and Jupyter Notebooks", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "Lonboard transforms geospatial analysis by eliminating the need for costly tiling and database preprocessing. This WebGL-based visualisation library delivers superior performance in Jupyter Notebooks, reducing costs while enabling real-time interaction with large vector datasets. Open source demonstration with reproducible examples from Urban Intelligence's climate modelling work.", "description": "Climate modelling generates massive raster datasets that analysts must explore to identify critical patterns like flood risk zones, temperature anomalies, and adaptation pathways. However, meaningful analysis requires overlaying large vector datasets, such as roads, infrastructure points, and building footprints, to understand the real-world impacts. Geospatial analysts traditionally face a costly bottleneck: these vector datasets must be tiled and stored in databases before meaningful visualisation can occur. This preprocessing step incurs significant computational and storage costs while creating friction in exploratory workflows.\r\n\r\nThis presentation demonstrates how Lonboard, a high-performance WebGL-based vector visualisation library, eliminates this barrier entirely, reducing workflow costs to zero while delivering superior rendering performance for the critical vector overlays. Through demonstrations using Urban Intelligence's climate analysis workflows, we'll showcase how analysts can visualise massive vector datasets directly in Jupyter Notebooks without preprocessing. Lonboard's WebGL rendering achieves speeds orders of magnitude faster than traditional packages like ipyleaflet by leveraging cutting-edge technologies, such as GeoArrow and GeoParquet, in conjunction with GPU-based map rendering.\r\n\r\nKey benefits include elimination of costly vector preprocessing steps, instant visualisation feedback for rapid exploration, seamless Jupyter integration, and superior performance with large vector datasets essential for large datasets. The presentation features fully reproducible notebooks showcasing production-ready implementation practices.\r\n\r\nThis approach represents a fundamental shift from expensive, preprocessing-heavy workflows to cost-effective, exploration-first methodologies that accelerate workflows. By leveraging open-source tools, organisations achieve better analytical outcomes while reducing infrastructure costs and complexity.", "recording_license": "", "do_not_record": true, "persons": [{"code": "QW3ZRA", "name": "Sam Archie", "avatar": "https://talks.staging.osgeo.org/media/avatars/Cropped_tseJx9H.jpg", "biography": "Sam Archie is a Data Engineer at Urban Intelligence, an Aotearoa-based company that empowers communities and organisations with evidence-based tools to navigate climate change and enhance resilience. At Urban Intelligence, Sam primarily focuses on creating scalable, reliable, and efficient ETL processes using Python that power the Resilience Explorer\u00ae platform - a solution for decision-makers to navigate climate change, plan for future weather events, and enhance organisational resilience.\r\n\r\nWith a Masters of Engineering from the University of Canterbury, Sam led the implementation of software algorithms to generate strategic urban growth plans of cities in Aotearoa that minimised risk to natural hazards, increased social cohesion and reduced land prices. This unique combination of engineering background and spatial analysis expertise now enables him to build the critical data infrastructure behind intuitive geospatial mapping, visualisation of asset and network data, interactive simulations of hazard events, and risk assessments based on world-leading research.\r\n\r\nSam's work exemplifies how technical expertise can drive sustainable urban transformation and community resilience. His role involves transforming complex climate and hazard data into actionable insights that help communities become more resilient, healthy, and inclusive\u2014something he never imagined during his early engineering career but now finds deeply fulfilling.", "public_name": "Sam Archie", "guid": "38872f11-6c44-5b9f-b680-58e29356ce55", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/QW3ZRA/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DMDEVQ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DMDEVQ/", "attachments": []}, {"guid": "c9003a19-79db-5ae6-aedf-e56bf206ceba", "code": "RZN87X", "id": 3716, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/RZN87X/pygeoapi-logo-notrans_gmkOWmp.png", "date": "2025-11-21T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-3716-pygeoapi-project-status", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RZN87X/", "title": "pygeoapi project status", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "pygeoapi project status presentation.  Come and find out the latest news on the project as well as future plans, and how to get involved!", "description": "pygeoapi is an OGC API Reference Implementation. Implemented in Python, pygeoapi supports numerous OGC APIs via a core agnostic API, different web frameworks (Flask, Starlette, Django) and a fully integrated OpenAPI capability. Lightweight, easy to deploy and cloud-ready, pygeoapi's architecture facilitates publishing datasets and processes from multiple sources. The project also provides an extensible plugin framework, enabling developers to implement custom data adapters, filters and processes to meet their specific requirements and workflows. pygeoapi also supports the STAC specification in support of static data publishing.\r\n\r\npygeoapi has a significant install base around the world, with numerous projects in academia, government and industry deployments. The project is also an OGC API Reference Implementation, lowering the barrier to publishing geospatial data for all users.\r\n\r\nThis presentation will provide an update on the current status, latest developments in the project, including new core features and plugins. In addition, the presentation will highlight key projects using pygeoapi for geospatial data discovery, access and visualization.", "recording_license": "", "do_not_record": false, "persons": [{"code": "H8LVLX", "name": "Tom Kralidis", "avatar": "https://talks.staging.osgeo.org/media/avatars/83c097f0f3c7bcea5f7fb0eaf41b00a5_vB70GlK.jpg", "biography": "Tom Kralidis is with the Meteorological Service of Canada and longtime contributor to FOSS4G. He leads and contributes to numerous projects in the Geopython ecosystem.  He is the 2024 recipient of the Sol Katz Award for Free and Open Source Software for Geospatial (FOSS4G), awarded annually by OSGeo to individuals who have demonstrated leadership in the FOSS4G community.\r\n\r\nTom is the co-chair of the OGC API - Records Standards Working Group, chair of the WMO Expert Team on Metadata, and serves on the OSGeo Board of Directors.  He is the 2024 recipient of the Sol Katz award.", "public_name": "Tom Kralidis", "guid": "9428ef15-62ef-5dd8-b134-61bd98b184f5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/H8LVLX/"}, {"code": "BS3TXT", "name": "Angelos Tzotsos", "avatar": "https://talks.staging.osgeo.org/media/avatars/Tzotsos_qT4GFYI.jpg", "biography": null, "public_name": "Angelos Tzotsos", "guid": "fe45042b-4333-5c18-85f6-34c9dc471f06", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BS3TXT/"}, {"code": "WH7RLL", "name": "Just van den Broecke", "avatar": "https://talks.staging.osgeo.org/media/avatars/173357c2214e55cd10e25977f2c64554_PEkf1zv.jpg", "biography": "Just van den Broecke is an independent Open Source geospatial professional working under the\r\ntrading name \"Just Objects\" - https://justobjects.nl. In his daily work\r\nhe designs, develops and deploys Open Source geospatial infrastructures, stacks and maps.\r\nHe is a core contributor to Open Source projects like pygeoapi (also PSC), GeoHealthCheck, Stetl, and NLExtract. He is an OSGeo Charter Member and founder/former-chair of OSGeo.nl, the Dutch Local OSGeo Chapter.", "public_name": "Just van den Broecke", "guid": "f1018d0a-0b48-5b29-ae31-2454995208bb", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/WH7RLL/"}], "links": [{"title": "pygeoapi project status", "url": "https://pygeoapi.io/presentations/foss4g2025", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RZN87X/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/RZN87X/", "attachments": []}, {"guid": "63486d4c-20ae-52d9-8fbf-551cfc2651f0", "code": "QS8TSD", "id": 4477, "logo": null, "date": "2025-11-21T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4477-ogc-apis-with-geoserver-implementation-availability-and-next-steps", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QS8TSD/", "title": "OGC APIs with GeoServer: implementation, availability, and next steps", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Discover OGC APIs and their implementation in GeoServer", "description": "The OGC APIs are a fresh take at doing geo-spatial APIs, based on WEB API concepts and modern formats, including:\r\n\r\n- Small core with basic functionality, extra functionality provided by extensions\r\n- OpenAPI/RESTful based\r\n- JSON first, while still allowing to provide data in other formats\r\n- No mandate to publish schemas for data\r\n- Improved support for data tiles (e.g., vector tiles)\r\n- Specialized APIs in addition to general ones (e.g., DAPA vs OGC API - Processes)\r\n- Full blown services, building blocks, and ease of extensibility\r\n\r\nThis presentation will provide an introduction to various OGC APIs and extensions, such as Features, Styles, Maps and Tiles, STAC and CQL2 filtering. Some of specs are finalized and complete enough that they have a GeoServer supported extensions, while others are provided as community modules. Join us to find out the current state of implementation, our future steps, and how you can participate in it.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QS8TSD/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QS8TSD/", "attachments": []}, {"guid": "74492a15-7744-5a46-b71c-52845d9fe6a3", "code": "9Y9PEA", "id": 4448, "logo": null, "date": "2025-11-21T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4448-state-of-geonetwork", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9Y9PEA/", "title": "State of GeoNetwork", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "Join us for the latest from the GeoNetwork community", "description": "The GeoNetwork opensource project is a catalog application that makes it easy to discover resources across any local, regional, national or global Spatial Data Infrastructure (SDI). GeoNetwork is a mature technology, an OSGeo Project and a proud member of the FOSS4G community for over 20 years.\r\nThe GeoNetwork team invites you to hear what we\u2019ve been up to in 2025!\r\nWe will showcase the many community-driven projects that have added new features over the past twelve months. Our thriving ecosystem of schema plugins keeps growing, with national teams contributing fixes, enhancements and entirely new capabilities, now including DCAT-AP output support and integrations.\r\nYou will also get an insider\u2019s look at the GeoNetwork team\u2019s plans: the current status of our 4.2.x and 4.4.x branches, our upcoming release schedule and an early preview of GeoNetwork 5. We\u2019ll share a high-level roadmap for GeoNetwork 5 and updates on the crowdfunding effort to help bring it to life.\r\n\r\nJoin us for the latest from the GeoNetwork community and this ever-evolving platform!", "recording_license": "", "do_not_record": false, "persons": [{"code": "RU9BR9", "name": "Antonio Cerciello", "avatar": "https://talks.staging.osgeo.org/media/avatars/78a6d15d6225d622e591ed1069dff66e_pRd1KE6.jpg", "biography": "I\u2019m a GIS developer and data analyst. I\u2019m passionate about open source, data visualization and knowledge sharing. I love when technologies break down barriers.", "public_name": "Antonio Cerciello", "guid": "837ff7bb-8c6f-5338-9cc1-f2209b79326d", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/RU9BR9/"}, {"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9Y9PEA/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9Y9PEA/", "attachments": []}, {"guid": "57f162f3-b6af-58f0-ae04-5f54a0dbdd37", "code": "DZEH9X", "id": 4199, "logo": null, "date": "2025-11-21T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4199-a-cloud-based-solution-for-indigenous-data-sovereignty-protecting-biodiversity-management-data-in-aotearoa-new-zealand", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DZEH9X/", "title": "A cloud based solution for Indigenous data sovereignty: protecting biodiversity management data in Aotearoa New Zealand", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "This presentation introduces a trustless, browser-based system for Indigenous geospatial data sovereignty. It combines geomasking, encryption, and blockchain to enable secure, third-party-free data sharing. Developed for M\u0101ori-managed Biodiversity Areas in Aotearoa New Zealand, the tool ensures privacy and control over sensitive spatial data in cloud environments.", "description": "How can Indigenous communities retain full control over their geospatial data in a world dominated by cloud platforms? This talk offers a guided walkthrough of a working prototype that protects Indigenous geospatial knowledge through privacy-first design. Attendees will see how technologies like geomasking, in-browser encryption, and blockchain notarization come together in a seamless tool for secure data sharing \u2014 all without relying on external intermediaries. The session will highlight real-world use in M\u0101ori-managed Biodiversity Areas in Aotearoa New Zealand and discuss broader ethical and technical considerations around Indigenous data governance. The talk is especially relevant for those interested in GIS, privacy tech, Indigenous rights, and open-source innovation.\r\n\r\nLink to article: https://onlinelibrary.wiley.com/doi/10.1111/tgis.13153", "recording_license": "", "do_not_record": false, "persons": [{"code": "KKWEHT", "name": "Dr Pankajeshwara Sharma", "avatar": null, "biography": "As Associate Professor at the University of Fiji. I earned my PhD in Information Science from Otago University, Following my PhD, I joined the Department of Environment at the University of Auckland as a Postdoctoral Fellow, where I contributed to vital research on data sovereignty and M\u0101ori biodiversity data management in New Zealand.  At the 2023 FOSS4G in Auckland, I presented our web based MapSafe: tool for achieving geospatial data sovereignty, an innovative tool https://www.mapsafe.xyz for secure data management, empowering sovereign data owners to obfuscate, encrypt, and notarize data\u2014all client-side\u2014ensuring data remains protected and verifiable.\r\n\r\nThis presentation will demonstrate a QGIS desktop based version of the web based tool.", "public_name": "Dr Pankajeshwara Sharma", "guid": "33cc54dd-79a2-526a-83bf-882009b7b212", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KKWEHT/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DZEH9X/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DZEH9X/", "attachments": []}, {"guid": "bb857077-9538-5b4b-9573-c0301b0c847f", "code": "PCPQKJ", "id": 4200, "logo": null, "date": "2025-11-21T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4200-mapsafe-qgis-plugin-a-complete-open-source-geoprivacy-tool-for-desktop-gis-applications", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PCPQKJ/", "title": "MapSafe QGIS plugin: a complete open-source geoprivacy tool for desktop GIS applications", "subtitle": "", "track": "Desktop GIS & Data Collection", "type": "Talk", "language": "en", "abstract": "MapSafe is a QGIS plugin that enables users to protect and share sensitive geospatial data with privacy controls like donut masking, encryption, and blockchain verification. It brings advanced geoprivacy functions into desktop GIS workflows, eliminating reliance on third parties and supporting compliance with data protection regulations.", "description": "This session introduces MapSafe, a desktop geoprivacy plugin for QGIS that empowers users to secure sensitive spatial data directly within their existing GIS workflows. Through a live demonstration, attendees will see how the plugin anonymizes data using techniques like donut masking and hexagonal binning, protects original datasets via public-key encryption, and verifies dataset authenticity using blockchain notarization. The talk will highlight how MapSafe avoids reliance on third parties, scales to large datasets, and supports regulatory compliance. Designed for usability, the plugin includes tooltips, documentation, and video guides, making geoprivacy accessible to users across skill levels. Whether you're a GIS professional, data steward, or researcher, this talk will offer practical insights into integrating geoprivacy directly into your desktop environment.\r\n\r\nLink to article: https://www.tandfonline.com/doi/full/10.1080/17489725.2025.2497752?src=exp-la", "recording_license": "", "do_not_record": false, "persons": [{"code": "KKWEHT", "name": "Dr Pankajeshwara Sharma", "avatar": null, "biography": "As Associate Professor at the University of Fiji. I earned my PhD in Information Science from Otago University, Following my PhD, I joined the Department of Environment at the University of Auckland as a Postdoctoral Fellow, where I contributed to vital research on data sovereignty and M\u0101ori biodiversity data management in New Zealand.  At the 2023 FOSS4G in Auckland, I presented our web based MapSafe: tool for achieving geospatial data sovereignty, an innovative tool https://www.mapsafe.xyz for secure data management, empowering sovereign data owners to obfuscate, encrypt, and notarize data\u2014all client-side\u2014ensuring data remains protected and verifiable.\r\n\r\nThis presentation will demonstrate a QGIS desktop based version of the web based tool.", "public_name": "Dr Pankajeshwara Sharma", "guid": "33cc54dd-79a2-526a-83bf-882009b7b212", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KKWEHT/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PCPQKJ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/PCPQKJ/", "attachments": []}, {"guid": "d70d2f99-79f0-54da-b3c8-cf57d5aa5460", "code": "UARSRW", "id": 4484, "logo": null, "date": "2025-11-21T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG126", "slug": "foss4g-2025-4484-approaching-security-with-kindness-and-compassion", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UARSRW/", "title": "Approaching Security with Kindness and Compassion", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "Wow it has been a busy time for security vulnerabilities. FOSS4G software is getting caught up in the general push to regulate IT and impose \u201csecurity\u201d on the technology that powers society.", "description": "This talk explores the tensions, expectations, terrors and triumphs on this hot button topic. We will look at a sensible response to calls for regulation and how GeoSever and GeoNetwork policies have been updated to address these concerns for developers, participating organizations and members of the public.\r\n\r\nThis talk unpacks what this can look like for foss4g projects using real world examples.\r\n\r\n* Built around the experience of the GeoServer project, and the resulting security policy and practices that can serve as a template for our foss4g community.\r\n* Public institutions can attend this talk to learn how their security policies interact with and affect foss4g technologies.\r\n* Vendors and service providers can learn how open source supply chains affect their products.\r\n* FOSS4G projects can attend to learn how to approach security reports with compassion, and a bit of boundary setting, to take care of your codebase and community.\r\n\r\nSecurity is difficult with consequences being felt at all levels. Help meet this challenge by supporting yourself and each other.", "recording_license": "", "do_not_record": false, "persons": [{"code": "BQBVFC", "name": "Jody Garnett", "avatar": "https://talks.staging.osgeo.org/media/avatars/jg-19-crop-small_Xw8nKeO.jpg", "biography": "Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.", "public_name": "Jody Garnett", "guid": "3c14d5ad-1de8-55d0-84f4-06d701207a54", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BQBVFC/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UARSRW/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/UARSRW/", "attachments": []}], "WA220": [{"guid": "d6882388-30c9-5d28-a1c7-9ab5af4c03f5", "code": "Z3ASEE", "id": 4382, "logo": null, "date": "2025-11-21T09:00:00+13:00", "start": "09:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4382-ogc-cite-runner-a-pythonic-convenience-runner-for-ogc-compliance-testing", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Z3ASEE/", "title": "OGC CITE Runner: a Pythonic convenience runner for OGC compliance testing", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "ogc-cite-runner is a software to help automate OGC CITE compliance testing for geospatial web applications. It can be used either as a GitHub action or standalone. Learn more about it at https://osgeo.github.io/ogc-cite-runner/", "description": "The Open Geospatial Consortium API family of standards (OGC API) are being developed to make it easy for anyone to provide geospatial data to the web, and are the next generation of geospatial web API standards designed with resource-oriented architecture, RESTful principles and OpenAPI. In addition, the OGC has the CITE compliance program, which aims at providing test suites that can be used to verify if web applications implement the standards correctly.\r\n\r\nOfficial CITE testing is done using OGC infrastructure and is subject to a review process which can be time consuming for implementations seeking compliance certification. The official CITE test suites and test runner (OGC TeamEngine) are made available by the OGC so that implementations are able to test their compliance beforehand. This process is however not very straightforward to automate.\r\n\r\nThe ogc-cite-runner software aims at reducing the friction of running the mentioned official CITE test suites with the OGC TeamEngine test runner. It is a lightweight Python CLI application which can be used directly as a GitHub action or as a standalone tool, thus making it easy to include in Continuous Integration systems. This means that implementations become able to test their CITE compliance as part of their normal development workflow and gain near instant feedback on their compliance status.\r\n\r\nAt its core, ogc-cite-runner implements a thin layer of  automation over OGC TeamEngine, asking it to run CITE test suites. It then processes the output results into a number of output formats, including a Markdown report which is embedded directly in the GitHub actions workflow log.\r\n\r\nThis presentation will provide an overview of ogc-cite-runner, demonstrating how it can be run both as a GitHub action and in standalone in order to test OGC CITE compliance of geospatial web applications.\r\n\r\nhttps://osgeo.github.io/ogc-cite-runner/", "recording_license": "", "do_not_record": false, "persons": [{"code": "H8LVLX", "name": "Tom Kralidis", "avatar": "https://talks.staging.osgeo.org/media/avatars/83c097f0f3c7bcea5f7fb0eaf41b00a5_vB70GlK.jpg", "biography": "Tom Kralidis is with the Meteorological Service of Canada and longtime contributor to FOSS4G. He leads and contributes to numerous projects in the Geopython ecosystem.  He is the 2024 recipient of the Sol Katz Award for Free and Open Source Software for Geospatial (FOSS4G), awarded annually by OSGeo to individuals who have demonstrated leadership in the FOSS4G community.\r\n\r\nTom is the co-chair of the OGC API - Records Standards Working Group, chair of the WMO Expert Team on Metadata, and serves on the OSGeo Board of Directors.  He is the 2024 recipient of the Sol Katz award.", "public_name": "Tom Kralidis", "guid": "9428ef15-62ef-5dd8-b134-61bd98b184f5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/H8LVLX/"}, {"code": "ZHUBE3", "name": "Ricardo Garcia Silva", "avatar": "https://talks.staging.osgeo.org/media/avatars/profile_photo_desaturated_ievTf7R.jpg", "biography": "Ricardo is a geospatial software developer that has been active in the geopython community in projects such as pygeoapi and pycsw. Throughout the years he has also contributed to other projects like GeoNode or QGIS. Originally graduated as an Environmental Engineer, he migrated over to geospatial software development early on and has been working in this field for the last 20 years. Most of his professional experience is in building geospatial web applications.", "public_name": "Ricardo Garcia Silva", "guid": "fa1e2eba-755a-5989-ad6f-a42a33d1861e", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ZHUBE3/"}], "links": [{"title": "ogc-cite-runner website", "url": "https://osgeo.github.io/ogc-cite-runner/", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Z3ASEE/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Z3ASEE/", "attachments": [{"title": "OGC CITE Runner: a Pythonic convenience runner for OGC compliance testing", "url": "/media/foss4g-2025/submissions/Z3ASEE/resources/ogc-cite-runner-foss4g-2025-11-21_RjBqMcp.pdf", "type": "related"}]}, {"guid": "21bc8406-1934-55ef-a0d9-4817c7e7ddcc", "code": "EP3CXX", "id": 4403, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/EP3CXX/dggal_Q2qbCRc.png", "date": "2025-11-21T09:30:00+13:00", "start": "09:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4403-introduction-to-the-discrete-global-grid-abstraction-library-dggal", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EP3CXX/", "title": "Introduction to the Discrete Global Grid Abstraction Library (DGGAL)", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "An introduction and overview of the capabilities provided by the Free and Open Source Software Discrete Global Grid Abstraction Library (DGGAL) https://dggal.org https://github.com/ecere/dggal", "description": "DGGAL provides a common interface to perform various operations on Discrete Global Grid Reference Systems (DGGRS), facilitating the implementation of Discrete Global Grid Systems (DGGS),\r\nincluding implementing Web APIs based on the [OGC API - DGGS Standard](https://docs.ogc.org/DRAFTS/21-038r1.html).\r\n\r\nDGGAL, including the `dgg` command-line utility as well as the Python bindings to the library, can be installed from [from PyPI](https://pypi.org/project/dggal/) with `pip install dggal`.\r\n\r\nDGGAL currently supports all three DGGRS described in [OGC API - DGGS Annex B](https://docs.ogc.org/DRAFTS/21-038r1.html#annex-dggrs-def), as well as additional DGGRSs:\r\n\r\n* [GNOSIS Global Grid](https://docs.ogc.org/DRAFTS/21-038r1.html#ggg-dggrs): An axis-aligned quad-tree defined in WGS84 latitude and longitude, with special handling of polar regions, corresponding to the [OGC 2D Tile Matrix Set of the same name](https://docs.ogc.org/is/17-083r4/17-083r4.html#toc58)\r\n* [ISEA3H](https://docs.ogc.org/DRAFTS/21-038r1.html#isea3h-dggrs): An equal area hexagonal grid with a refinement ratio of 3 defined in the Icosahedral Snyder Equal Area (ISEA) projection\r\n* [ISEA9R](https://docs.ogc.org/DRAFTS/21-038r1.html#isea9r-dggrs): An equal area rhombic grid with a refinement ratio of 9 defined in the ISEA projection transformed into a 5x6 Cartesian space resulting in axis-aligned square zones\r\n* **IVEA3H**: An equal area hexagonal grid with a refinement ratio of 3 defined in the Icosahedral Vertex-oriented Great Circle Equal Area (tentatively called IVEA) projection based on [Slice & Dice (2006)](https://www.tandfonline.com/doi/abs/10.1559/152304006779500687), using the same global indexing and sub-zone ordering as for ISEA3H\r\n* **IVEA9R**: An equal area rhombic grid with a refinement ratio of 9 defined in the IVEA projection transformed into a 5x6 Cartesian space resulting in axis-aligned square zones, using the same global indexing and sub-zone ordering as for ISEA9R\r\n* **RTEA3H**: An equal area hexagonal grid with a refinement ratio of 3 defined in the Rhombic Triacontahedron Equal Area (RTEA) projection, a configuration of the Slice & Dice great circle projection equivalent to applying Snyder's projection to the RT, using the same global indexing and sub-zone ordering as for ISEA3H\r\n* **RTEA9R**: An equal area rhombic grid with a refinement ratio of 9 defined in the RTEA projection transformed into a 5x6 Cartesian space resulting in axis-aligned square zones, using the same global indexing and sub-zone ordering as for ISEA9R\r\n* [rHEALPix](https://iopscience.iop.org/article/10.1088/1755-1315/34/1/012012): An equal area and axis-aligned grid with square zones topology and a refinement ratio of 9 defined in the rHEALPix projection (using same parameters as default [PROJ implementation](https://proj.org/en/stable/operations/projections/rhealpix.html)) with the original hierarchical indexing and scanline-based sub-zone ordering\r\n\r\nThe API documentation can be [found here](https://dggal.org/docs/html/dggal/Classes/DGGRS.html).\r\n\r\nThe `DGGRS` class provides most of the functionality of the library, allowing to resolve DGGRS zones by textual ID to a unique 64-bit zone integer identifier (`DGGRSZone`).\r\nThe geometry and sub-zones of a particular zone can also be queried.\r\nThe concept of [sub-zones](https://docs.ogc.org/DRAFTS/21-038r1.html#term-sub-zone) is key to encoding both vector and raster geospatial data quantized to a DGGRS.\r\nThe DGGAL library also allows to resolve a sub-zone index at a particular depth from a parent zone, allowing to read DGGS-optimized data such as [DGGS-JSON](http://dggs-json.org) and [DGGS-JSON-FG](https://docs.ogc.org/DRAFTS/21-038r1.html#rc_data-dggs-jsonfg).\r\n\r\nThe recommended method to obtain and build DGGAL and the `dgg` tool is to follow the instructions in [BUILDING.md](BUILDING.md), or running [fetchAndBuild.sh](fetchAndBuild.sh) / [fetchAndBuild.bat](fetchAndBuild.bat).\r\n\r\nWhile the library is written in the [eC programming language](https://ec-lang.org), object-oriented bindings for C, C++ and Python generated using the Ecere SDK's [`bgen` tool](https://github.com/ecere/bgen) are provided. Bindings for Rust are available as well. Support for additional languages may be added in the future.\r\n\r\nExample usage of the bindings to the different programming languages can be [found here](https://github.com/ecere/dggal/tree/eC-core/bindings_examples).\r\n\r\nThe `dgg` tool provides the ability to perform various operations from the command-line, including generating grids at different refinement levels, querying information about a particular zone identifier, identifying the zone a particular set of geospatial coordinates, listing the zones within a certain bounding box, resolving sub-zone indices and converting compact DGGS-JSON data files to GeoJSON files.\r\n\r\n_Acknowledgement_\r\nFinancial support provided by GeoConnections, a national collaborative initiative led by Natural Resources Canada. GeoConnections supports the modernization of the Canadian Geospatial Data Infrastructure (CGDI). The CGDI is the collection of geospatial data, standards, policies, applications, and governance that facilitate its access, use, integration, and preservation.", "recording_license": "", "do_not_record": false, "persons": [{"code": "KNRWPK", "name": "Jerome St-Louis", "avatar": "https://talks.staging.osgeo.org/media/avatars/jerome_D86JdmH.jpeg", "biography": "J\u00e9r\u00f4me St-Louis is founder and CTO of Ecere, initiated the FOSS Ecere Cross-Platform SDK project (1996), designed the eC programming language (2004) and the GNOSIS geospatial software suite (2014). J\u00e9r\u00f4me is now releasing a number of GNOSIS components as open-source projects, including DGGAL, libCartoSym, libCQL2 and libDE9IM. J\u00e9r\u00f4me is co-chair of multiple OGC Standard Working Groups and co-editors of multiple OGC Standards, as well as an OSGeo charter member and active contributor to the open-source geospatial community.", "public_name": "Jerome St-Louis", "guid": "d776b909-19d3-50fa-b723-6bd1989186be", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KNRWPK/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EP3CXX/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/EP3CXX/", "attachments": []}, {"guid": "96003707-a25f-5a36-b5ab-a8274c8966a8", "code": "SMBE7D", "id": 3717, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/SMBE7D/logo-vertical-darkbg_LuodIkZ.png", "date": "2025-11-21T10:00:00+13:00", "start": "10:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-3717-pycsw-project-status", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SMBE7D/", "title": "pycsw project status", "subtitle": "", "track": "State of software", "type": "Talk", "language": "en", "abstract": "pycsw project status presentation.  Come and find out the latest news on the project as well as future plans, and how to get involved!", "description": "pycsw is an OGC API - Records and OGC CSW server implementation written in Python. Started in 2010 (more formally announced in 2011), pycsw allows for the publishing and discovery of geospatial metadata via numerous APIs (CSW 2/CSW 3, OpenSearch, OAI-PMH, SRU), providing a standards-based metadata and catalogue component of spatial data infrastructures. pycsw is Open Source, released under an MIT license, and runs on all major platforms (Windows, Linux, Mac OS X).The project is certified OGC Compliant, and is an OGC Reference Implementation.\r\n\r\nThe project currently powers numerous high profile catalogues such as EOEPCA, IOOS, NGDS, NOAA, US Department of State, US Department of Interior, geodata.gov.gr, Met Norway and WMO WOUDC. This session starts with a status report of the project, followed by an open question answer session to give a chance to users to interact with members of the pycsw project team. This session will cover how the project PSC operates, the current project roadmap, and recent enhancements focused on ESA's EOEPCA, Open Science Data Catalogue and OGC API - Records.", "recording_license": "", "do_not_record": false, "persons": [{"code": "H8LVLX", "name": "Tom Kralidis", "avatar": "https://talks.staging.osgeo.org/media/avatars/83c097f0f3c7bcea5f7fb0eaf41b00a5_vB70GlK.jpg", "biography": "Tom Kralidis is with the Meteorological Service of Canada and longtime contributor to FOSS4G. He leads and contributes to numerous projects in the Geopython ecosystem.  He is the 2024 recipient of the Sol Katz Award for Free and Open Source Software for Geospatial (FOSS4G), awarded annually by OSGeo to individuals who have demonstrated leadership in the FOSS4G community.\r\n\r\nTom is the co-chair of the OGC API - Records Standards Working Group, chair of the WMO Expert Team on Metadata, and serves on the OSGeo Board of Directors.  He is the 2024 recipient of the Sol Katz award.", "public_name": "Tom Kralidis", "guid": "9428ef15-62ef-5dd8-b134-61bd98b184f5", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/H8LVLX/"}, {"code": "YSAX3Y", "name": "Paul van Genuchten", "avatar": "https://talks.staging.osgeo.org/media/avatars/0CEEFBBB-5984-4A92-8E1D-F1EE6E8CD8DC_eGwkIU2.jpeg", "biography": null, "public_name": "Paul van Genuchten", "guid": "d64ac165-d4f0-5420-8ab8-731325f8eb7b", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/YSAX3Y/"}, {"code": "BS3TXT", "name": "Angelos Tzotsos", "avatar": "https://talks.staging.osgeo.org/media/avatars/Tzotsos_qT4GFYI.jpg", "biography": null, "public_name": "Angelos Tzotsos", "guid": "fe45042b-4333-5c18-85f6-34c9dc471f06", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/BS3TXT/"}], "links": [{"title": "pycsw project status", "url": "https://pycsw.org/publications/foss4g2025", "type": "related"}], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SMBE7D/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SMBE7D/", "attachments": []}, {"guid": "160da88d-9793-54c4-91dd-86a72891f97a", "code": "DTAD37", "id": 4355, "logo": null, "date": "2025-11-21T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4355-combining-remote-sensing-data-and-geospatial-datasets-to-improve-a-national-wetlands-inventory", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DTAD37/", "title": "Combining remote sensing data and geospatial datasets to improve a national wetlands inventory", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Combining geospatial and remote sensing data to create accurate representations of national wetlands from diverse datasets raises technical and real-world challenges. \r\nThis talk covers how we minimize negative impacts of technical decisions while maximizing positive outcomes, and how we combine multiple datasets to support national wetlands mapping and monitoring.", "description": "_", "recording_license": "", "do_not_record": false, "persons": [{"code": "98HWDP", "name": "Bex Dunn", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_4113_Bex_Dunn_DEC_2020_6tT5VZr.jpg", "biography": "<draft text>", "public_name": "Bex Dunn", "guid": "c0fa6f4f-2771-59e1-a79d-705a49f6098a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/98HWDP/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DTAD37/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DTAD37/", "attachments": []}, {"guid": "a3186dce-bed6-5d65-a577-ca7aba87bd4e", "code": "7LQM3T", "id": 4265, "logo": null, "date": "2025-11-21T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4265-automatic-map-deconstruction-using-qgis-leveraging-open-source-algorithms-such-as-map2loop-and-loopstructural", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7LQM3T/", "title": "Automatic map deconstruction using QGIS: Leveraging open-source algorithms such as map2loop and LoopStructural", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "We present an open-source workflow integrating QGIS, map2loop, and LoopStructural to automate geological map deconstruction into 3D models. This approach streamlines extracting contacts, faults, and stratigraphy from legacy maps, reducing manual effort and enhancing reproducibility. Results show rapid, scalable model generation, improving geological understanding in data-sparse regions.", "description": "The integration of geological knowledge from legacy maps into modern 3D geological models remains a critical challenge, particularly in regions where data is sparse or inconsistently digitized. This research presents an automated workflow for geological map deconstruction using QGIS, and 3D modelling, using open-source algorithms such as map2loop and LoopStructural. The aim is to streamline the transformation of 2D geological maps into structured data, reducing manual interpretation efforts and increasing reproducibility.\r\nThe proposed methodology leverages map2loop to extract and pre-process from georeferenced maps geological features such as contacts, faults, and stratigraphic boundaries. Some of these features are then structured into formats compatible with the input of LoopStructural, a Python-based library that builds rule-based 3D geological models. The QGIS environment acts as a central platform for visualizing and manipulating these spatial data layers, while our plugins facilitate automation and interoperability between components.\r\nThis approach underscores the value of open-source tools in geoscience workflows, fostering collaboration, transparency, and scalability. By automating the extraction and structuring of geological features, the workflow significantly reduces the subjectivity and time requirements traditionally associated with map deconstruction and 3D model builds. \r\nThe results demonstrate the feasibility of automated map deconstruction within an open-source GIS environment, paving the way for rapid geological model development in underexplored or poorly mapped regions. This work contributes to the broader geoscience community by offering a replicable and extensible framework for geological data translation, bridging the gap between static to support systems for integration with additional data sources such as drillholes and geophysical data, enhancing the fidelity of downstream 3D models.\r\nRepository:\r\nLoop3D\r\n\u2022\thttps://github.com/Loop3D/map2loop\r\n\u2022\thttps://github.com/Loop3D/LoopStructural\r\n\u2022\thttps://github.com/Loop3D/qgis-loopplugin\r\nField Mapping Tool\r\n\u2022\thttps://github.com/swaxi/GEOL-QMAPS\r\n\u2022\thttps://zenodo.org/records/13374088\r\n\r\nGeophysical Processing Tool\r\n\u2022\thttps://github.com/swaxi/SGTool \r\nTomofast-x Grav/Mag Inversion Tool\r\n\u2022\thttps://github.com/TOMOFAST/Tomofast-x\r\n\u2022\thttps://github.com/TOMOFAST/tomofast-x-q", "recording_license": "", "do_not_record": false, "persons": [{"code": "ZXHQVX", "name": "Michel Nzikou Mamboukou", "avatar": "https://talks.staging.osgeo.org/media/avatars/Michel_portrait_photo_dHUHVcB.jpg", "biography": "Dr. Michel M. Nzikou is a Research Fellow at the Centre for Exploration Targeting (CET) at The University of Western Australia (UWA). His current research focuses on developing QGIS plugins to enhance the usability of the Loop3D algorithm for three-dimensional subsurface geological modelling.\r\n\r\nHe holds a PhD in Exploration Geophysics from Curtin University, awarded in 2019. Prior to his role at UWA, Dr. Michel M. Nzikou gained extensive industry experience as a field, processing, and interpretation geophysicist with Epiroc, Moombarriga Geoscience, and HiSeis.\r\n\r\nHe is a strong advocate for open-source technology and is passionate about advancing science through open collaboration and knowledge sharing. Outside of his academic and professional pursuits, he has also been a member of the Fury River Dragon Boat team, competing at both state and national levels.", "public_name": "Michel Nzikou Mamboukou", "guid": "b0743179-64f9-543c-8a95-847e73375076", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ZXHQVX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7LQM3T/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/7LQM3T/", "attachments": []}, {"guid": "e48c417c-efbf-552b-9b4e-28578bb526e0", "code": "BAQUZY", "id": 4210, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/BAQUZY/submitted_image_r2_qdNXxEf.png", "date": "2025-11-21T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4210-empowering-everyone-with-satellite-data-agile-development-powered-by-foss4g", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BAQUZY/", "title": "Empowering Everyone with Satellite Data \u2013 Agile Development Powered by FOSS4G", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "ArkEdge Space Inc. has developed a Free and Open platform to democratize satellite-derived geospatial data. Leveraging FOSS4G technologies and rapid iterative development, we've quickly deployed forestry, agriculture, environmental, and water management apps globally, actively sharing source code to enable easy satellite-data access for everyone, including non-experts.", "description": "ArkEdge Space Inc. is a system integrator specializing in ultra-small satellites, having successfully launched and operated thirteen spacecraft to date. In 2024, based on the \"Free and Open\" philosophy, we initiated development of a platform aimed at making satellite-derived geospatial data easily accessible to everyone.\r\n\r\nWith the support of FOSS4G, within just one year, we developed multiple practical applications, including a forestry-management tool for local governments, an agricultural decision-support system for smallholder farmers and ministries in Global South countries, an environmental monitoring application, and applications for flood monitoring and water resource management. These tools enable non-experts to easily access, visualize, and analyze satellite data without requiring specialized knowledge.\r\n\r\nWe have collaborated with government agencies in Global South countries during the development of these applications. Currently, many of these applications have been deployed free of charge to government agencies and primary-sector workers in Global South countries, as well as to local municipalities and educational institutions within Japan.\r\n\r\nFurthermore, we have actively provided the source code of our applications to other Web IT application companies. By doing so, we aim to enable a broader range of players\u2014including ordinary IT companies without specialized satellite data expertise\u2014to develop applications leveraging satellite data.\r\n\r\nBy adopting a rapid iteration approach\u2014frequently developing, testing, and refining mock-up applications based on user feedback\u2014we quickly produced a wide range of solutions tailored to user needs. FOSS4G technologies played a crucial role in enabling this agile development process. Specifically, we actively utilized various FOSS4G technologies such as MapLibre GL JS, PMTiles, TiTiler, and GDAL. Additionally, we leveraged open-source image processing models such as Segment Anything Model 2. The combination of TiTiler and AWS Lambda proved particularly powerful, supporting not only fast raster data delivery, rapid time-series processing, and data download tools, but also more specialized use cases like rainfall analysis applications.\r\n\r\nIn this way, we adopt the perspective of end users working with satellite-derived geospatial data. This hands-on experience gives us insight into the challenges of leveraging geospatial information\u2014especially satellite data, which is large in size, stored in specialized formats, and requires expert knowledge for processing and analysis. Drawing on these insights, we are committed to further improving the usability of Free and Open geospatial data\u2014including satellite datasets\u2014and to providing an accessible data-delivery experience for all.\r\n\r\nIn this presentation, we will introduce our journey, discuss the underlying technologies, and share our vision for creating a society where satellite data is effortlessly accessible to everyone.", "recording_license": "", "do_not_record": false, "persons": [{"code": "DG9ZK7", "name": "Ryo Suzumoto", "avatar": "https://talks.staging.osgeo.org/media/avatars/submitted_LXEefX6.png", "biography": "Dr. Ryo Suzumoto serves as Executive Officer and Co-founder of ArkEdge Space Inc., where he focuses on developing geospatial information platforms that leverage satellite data, driving business development and community engagement, and establishing the computing infrastructure that underpins satellite systems.\r\n\r\nHe earned his M.E. in Aeronautics and Astronautics from the University of Tokyo\u2019s Graduate School of Engineering in 2020 and that same year joined Cookpad Inc. as a research engineer in the R&D department. In 2021, he co-founded ArkEdge Space Inc., and in 2023 he completed his Ph.D. in the same department, defending a dissertation entitled \u201cResearch on Development of Relative Position and Attitude Control Methods for Ultra-High Precision Satellite Formation Flying.\u201d\r\n\r\nHis technical work encompasses control methods for ultra-high-precision satellite formation flying, the architectures needed to implement such formation flyings, and software systems for small satellites. In recognition of his early achievements, he received the Student Excellence Award from the Japan Society for Aeronautical and Space Sciences in 2018 and the Young Encouragement Award at the 64th Space Sciences and Technology Conference in 2020.\r\n\r\nMore recently, Dr. Suzumoto has expanded his focus beyond the development and operation of satellites to the broader utilization of satellite assets and data. He now strives to create a future in which satellite IoT communications bridge connectivity gaps in remote regions and where technical barriers no longer limit access to satellite data and analytics. To that end, he leverages FOSS4G to build platforms that enable even non-experts to access geospatial information, including satellite data, with ease.\r\n\r\nIn addition to his research and product work, Dr. Suzumoto is deeply involved in open-source and educational outreach. He developed and released an open-source software suite for small satellites\u2014C2A (Command-Centric Architecture), S2E (Spacecraft Simulation Environment), and WINGS (Web-based Interface Ground-station Software)\u2014supporting community-driven satellite software development, and serves as the principal contributor to c2a-core, the satellite onboard software kernel. He also created and published an open-source CanSat development kit for middle and high school students, inspiring the next generation of space engineers.", "public_name": "Ryo Suzumoto", "guid": "0557fa63-b761-5ab9-a3e6-09ce2ece90e3", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/DG9ZK7/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BAQUZY/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/BAQUZY/", "attachments": []}, {"guid": "f9cc11ee-fd82-5fdb-9ea4-48cc95fef62e", "code": "GQLRGC", "id": 4366, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/GQLRGC/sessionImage_oLz7CDg.png", "date": "2025-11-21T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4366-can-foss4g-be-utilized-to-support-the-post-mortem-assessment-process-of-large-scale-chemical-spills", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GQLRGC/", "title": "Can FOSS4G be utilized to support the post-mortem assessment process of large-scale chemical spills?", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "We present our research on a system prototype that combines a digital twin-based web service using Cesiumjs and 3D Tiles with atmospheric diffusion models to predict the diffusion of chemicals in the atmosphere to support post-mortem assessments of chemical spills.", "description": "When toxic substances that are lethal to humans are accidentally released, for example, in a large-scale chemical plant that leaks gaseous toxic substances into the atmosphere, or in a car accident that causes liquid toxic substances to leak from a vehicle carrying toxic substances and seep into the soil or flow into a river, it is very difficult to assess the damage caused by the accident.\r\n\r\nThis is because these large-scale incidents occur so infrequently that there is very little data available for engineering and mathematical analysis, it is difficult to re-create the incident for experiments, and it is difficult to identify the victims in the vicinity of the incident.\r\n\r\nThe idea behind the study was that, aside from soil and water contamination, which requires long-term monitoring of both people and the environment, it may be possible to assess short-term damage caused by toxic gases leaking into the air in an environment like South Korea, where the number of mobile phone subscribers is high relative to the total population.\r\n\r\nIf you have an atmospheric diffusion model backed by computing power, accurate information about the incident (type of leak, amount of leak, duration, location, etc.), weather information about the location at the time of the incident, and terrain and building model data that can be used as background data for the atmospheric diffusion model, you can obtain a three-dimensional grid with predictions of the spread of the leaked substance over time.\r\nAnd then you can add the prediction result data on the moving paths of the expected victims in the vicinity of the incident over time provided by the mobile service provider and the physical information of the expected victims (gender, age, weight, etc.) to create a model that can calculate the expected damage to each expected victim.\r\nFurthermore, if the results of the spread prediction and the estimated damage to the expected victims can be made available to decision makers involved in damage assessment on a digital twin basis, it can support the damage assessment process for chemical spills.\r\n\r\nIn this talk, we will present a prototype of a system that can support damage assessment tasks by combining the results of atmospheric diffusion model-based spread predictions, location information of expected victims, and estimated damages assessed based on these predictions with digital twin-based web services, which we are working on in our fourth year of research.", "recording_license": "", "do_not_record": false, "persons": [{"code": "A9P77Y", "name": "Hak joon Kim", "avatar": null, "biography": "A developer who can't develop any more.", "public_name": "Hak joon Kim", "guid": "e104985a-2ac3-5d67-91b2-3a664302f8e9", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/A9P77Y/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GQLRGC/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GQLRGC/", "attachments": []}, {"guid": "de29bbb0-60d0-581c-af71-1092c390998c", "code": "9V37PB", "id": 4354, "logo": null, "date": "2025-11-21T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WA220", "slug": "foss4g-2025-4354-building-communities-this-is-broken-and-we-re-going-to-fix-it", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9V37PB/", "title": "Building Communities: This is broken, and WE'RE going to fix it", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "Community: \"This is broken, and WE'RE going to fix it\"\r\nLone Wolf: \"This is broken, and I'M going to fix it (alone)\"", "description": "The Lone Wolf Trap\r\nMany geospatial open source projects start with a brilliant developer saying \"This is broken and I'm going to fix it.\" They build something amazing, gather users, and then... burn out. The project stagnates or dies with its creator. Sound familiar?\r\nThe Community Alternative\r\nWhat if instead we built projects where the response to problems is \"This is broken and WE'RE going to fix it\"? Where multiple people can spot issues, propose solutions, and drive improvements? Where the project outlives any single contributor?", "recording_license": "", "do_not_record": false, "persons": [{"code": "DLPB79", "name": "Daniel ODonohue", "avatar": null, "biography": "Daniel has spent 15 years wandering around the geospatial industry in various roles, which has given him plenty of opportunities to see what works (and what spectacularly doesn't).\r\n\r\nFor the past 5 years, he's been hosting the Mapscaping podcast, where he's had the privilege of chatting with hundreds of geospatial folks - from brilliant developers building the tools we all use, to researchers pushing boundaries, to the unsung heroes keeping projects alive. These conversations have given him a front-row seat to watch how communities form, flourish, and sometimes flame out.", "public_name": "Daniel ODonohue", "guid": "fc1a335f-eb43-5bd9-86e0-5c4aaca62615", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/DLPB79/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9V37PB/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/9V37PB/", "attachments": []}], "WG404": [{"guid": "63d404ab-9a5f-5a76-b056-a0372726ca18", "code": "LCVGKG", "id": 4372, "logo": null, "date": "2025-11-21T09:00:00+13:00", "start": "09:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4372-i-hyper-processing-hyperspectral-imagery-in-grass", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LCVGKG/", "title": "i.hyper: processing hyperspectral imagery in GRASS", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "We present i.hyper, a multimodular toolset for processing hyperspectral satellite imagery in GRASS. It supports the import of PRISMA, EnMAP and Tanager products through a dedicated import module and provides preprocessing, visualization and export. The i.hyper addon is available in the official GRASS Addons repository.", "description": "Introduction\r\n\r\nHyperspectral remote sensing provides rich spectral information that enables advanced analysis across a wide range of environmental domains. Soil monitoring, biogeochemistry, vegetation dynamics, environmental conservation, and even marine and coastal remote sensing all benefit from the high spectral resolution of modern sensors.\r\nAlthough missions like EnMAP (DLR) and PRISMA (ASI) are already operational, and Hyperion (NASA EO-1) has left behind a valuable legacy archive, new missions such as ESA\u2019s FLEX and CHIME, along with superspectral systems like Landsat Next, are expected to dramatically expand the volume and variety of data. However, integrating this data into open-source spatial workflows remains limited.\r\nTo bridge this gap, we introduce i.hyper, a modular suite for GRASS that enables complete and reproducible hyperspectral workflows - from import and preprocessing to spectral analysis and export. The addon is available in the official GRASS Addons repository and can be installed directly from GRASS.\r\n\r\nOverview of i.hyper\r\n\r\ni.hyper is implemented in Python and tightly integrated into the GRASS environment, combining modern spectral processing with robust spatial analysis tools. The suite consists of five core modules:\r\n1. i.hyper.import \u2013 Import of hyperspectral satellite products\r\n2. i.hyper.preproc \u2013 Spectral preprocessing and transformation\r\n3. i.hyper.composite \u2013 Plotting of false composite maps from already imported 3D hyperspectral rasters\r\n4. i.hyper.explore \u2013 Interactive spectral analysis, plot and export of analyzed spectra\r\n 5. i.hyper.export \u2013 Conversion to external formats\r\nThese modules form a pipeline that allows users to ingest, process, and explore hyperspectral cubes using GRASS-native structures.\r\n\r\nModule 1: i.hyper.import\r\n\r\nSupports:\r\n\u2022 PRISMA L2B\u2013L2D\r\n\u2022 Tanager\r\n\u2022 EnMAP L2A\r\nIt imports imagery and metadata into GRASS 3D rasters (raster_3d), including per-band attributes (wavelength, FWHM, units, validity). Invalid bands are flagged. Optional composite layers (e.g., CIR, SWIR) can be created automatically for visualization. Modular backends make extension to new missions straightforward.\r\n\r\nModule 2: i.hyper.preproc\r\n\r\nProvides in-place spectral processing with support for:\r\n    \u2022 Savitzky-Golay filtering (configurable order, derivative, window size, NaN handling)\r\n    \u2022 Dimensionality reduction methods as Principal Component Analysis (PCA) and Kernel PCA (RBF kernel)\r\n    \u2022 Continuum removal using local convex hull normalization\r\nThese transformations are applied spectrally per pixel, using garray.array3d, with preserved metadata throughout.\r\n\r\nModule 3 i.hyper.composite\r\nProvides tools to create false composite RGG maps from 3D hyperspectral cube. Users can choose predefined false composites combinations (eg. for agriculture, geology) or define custome ones by choosing the wavelenght centers of the bands they want to stack into composite maps.\r\nModule 4: i.hyper.explore\r\nEnables:\r\n    \u2022 Interactive selection of pixels/regions\r\n    \u2022 Visualization of spectral signatures\r\n    \u2022 Export of spectra to JSON\r\n    \u2022 Export of plots\r\nThis module is particularly useful for validating preprocessing steps and preparing datasets for modeling.\r\nModule 5: i.hyper.export\r\nSupports export to:\r\n    \u2022 GeoTIFF\r\nUsers can select bands, apply scaling, and retain metadata during export.\r\n\r\nReproducibility and Integration\r\n\r\ni.hyper is fully open-source (GNU GPL 2.0), integrated via the GRASS Python API, and leverages libraries like NumPy, scikit-learn and SciPy. It ensures reproducibility through:\r\n    \u2022 Strict input structure and metadata validation\r\n    \u2022 Logging of transformation parameters\r\n    \u2022 Use of GRASS-native tools\r\nAll modules include documentation, CLI help, argument checks, and consistent metadata propagation.\r\n\r\nConclusion\r\n\r\ni.hyper is novel in its integration of hyperspectral processing within GRASS, unlocking a powerful combination of spectral and spatial tools. It facilitates comprehensive workflows - from raw data to analysis-ready layers - and supports both legacy and current missions with a roadmap for future expansion.\r\nAs more hyperspectral and superspectral missions emerge - including FLEX, CHIME, and Landsat Next - the need for transparent, extensible, and scriptable pipelines becomes critical. i.hyper addresses this need by offering a scalable, modular, and reproducible solution that enables open-source geospatial research across domains such as soil science, geochemistry, vegetation monitoring, conservation planning, and marine ecosystems.\r\nThe GRASS + Python + i.hyper stack provides a robust foundation for both research and operational remote sensing.", "recording_license": "", "do_not_record": false, "persons": [{"code": "EYZCPK", "name": "Alen Mangafi\u0107", "avatar": "https://talks.staging.osgeo.org/media/avatars/PXL_20240616_153027138.PORTRAIT_eQCJzSg.jpg", "biography": "I work at the Geodetic Institute of Slovenia in Ljubljana, contributing to various projects as a Data Scientist, Remote Sensing Analyst, GIS Coordinator, and Specialist. My work primarily revolves around the analysis of multispectral, hyperspectral, and SAR imagery, as well as LiDAR point clouds - but I enjoy tackling data problems of all kinds. I rely heavily on Python, GRASS, GDAL, PDAL, QGIS and PostgreSQL for data torturing and distribution. I love Linux. I currently serve as the secretary of the Slovenian OSGeo Local Chapter.", "public_name": "Alen Mangafi\u0107", "guid": "801d0e78-9b96-58a0-bafc-d97dff4ac4af", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/EYZCPK/"}, {"code": "LVRBRN", "name": "Toma\u017e \u017dagar", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_20190829_203304_dyaRTQz.jpg", "biography": "I\u2019ve been building GIS solutions at the Geodetic Institute of Slovenia for over 15 years, working across the stack on everything from web mapping applications to data processing pipelines. My background is in biomedical engineering, but I found my way into geospatial tech through the field of automation \u2014 and I\u2019ve been streamlining processes and visualizing data ever since.", "public_name": "Toma\u017e \u017dagar", "guid": "3d704848-70d3-5752-9894-644ea9e9f475", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/LVRBRN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LCVGKG/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/LCVGKG/", "attachments": [{"title": "PDF of i.hyper presentation.", "url": "/media/foss4g-2025/submissions/LCVGKG/resources/i.hyper_-_foss4g_ONxpBTO.pdf", "type": "related"}]}, {"guid": "1d555f55-018f-57c9-aaec-cdb331e6ab60", "code": "89FTBG", "id": 4361, "logo": null, "date": "2025-11-21T09:30:00+13:00", "start": "09:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4361-benchmarking-ogc-services-no-more-surprises-when-20-students-try-to-access-your-wms", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/89FTBG/", "title": "Benchmarking OGC Services: No More Surprises When 20 Students Try to Access Your WMS", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Most OGC services are deployed with only functional testing, leading to failures under real user loads. Our open-source Locust framework generates realistic geospatial requests with random bounding boxes and dynamic coordinates for proper load testing", "description": "Picture this, Sicily 2025 : You've carefully set up a WMS service, tested it works perfectly, and then invited 20 students to use it while lecturing about OGC web services. Suddenly, your service crawls to a halt. This scenario highlights a critical gap in how we deploy OGC services - most organizations perform only functional testing, checking if services work but not how they perform under real user loads.\r\nStandard load testing tools like ApacheBench fall short for geospatial services because they are not oriented to deal with  the geographic complexity of OGC protocols. Real users don't request the same map tile repeatedly - they pan across different bounding boxes, zoom through multiple levels, switch layer combinations, and explore various geographic extents. OGC services require specialized testing that can generate random bounding boxes for WMS GetMap requests, create dynamic tile coordinates for WMTS across zoom levels, handle proper CRS and format parameters, and simulate realistic navigation patterns.\r\nWe developed an open-source solution using the Locust framework enhanced with OGC-specific Python code modules. Our approach leverages owslib.wms for proper capabilities parsing and request generation, custom bbox generators that create random geographic extents within service bounds, tile coordinate algorithms for realistic requests, and layer randomization from GetCapabilities responses. The framework includes seed-based reproducible testing for consistent benchmark comparisons and simulates authentic user behavior patterns including concurrent users requesting different geographic areas and dynamic layer combinations during sessions.\r\nThis work addresses a fundamental challenge in the FOSS4G ecosystem where standard load testing misses the geographic complexity that makes OGC services unique. By providing specialized benchmarking tools that understand geospatial request patterns, organizations can systematically validate performance before deployment and avoid discovering critical issues when users start actually exploring their services geographically. The toolkit enables proactive capacity planning and helps prevent those embarrassing moments when carefully planned demonstrations fail under realistic load conditions.", "recording_license": "", "do_not_record": false, "persons": [{"code": "GDVTCB", "name": "Jorge S. Mendes de Jesus", "avatar": null, "biography": "Jorge S. Mendes de Jesus is an Agronomist and geoinformatics specialist with a PhD in Geography and Sustainable Development from Ben-Gurion University. He has extensive experience in spatial data infrastructures, having worked at the Joint Research Center (ISPRA) as an OGC web service developer, Plymouth Marine Laboratory on remote sensing applications, and ISRIC on major projects including SoilGrids and WOCAT. Jorge currently runs TerraOps - Innovations (https://terraops.org), providing Geo-as-a-Service solutions and REST API development for geospatial data using the OSGeo stack. His expertise spans Python programming, Kubernetes deployment, and spatial data analysis for agricultural and environmental applications.", "public_name": "Jorge S. Mendes de Jesus", "guid": "85647afe-a73d-5d50-84ba-514a35847d05", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GDVTCB/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/89FTBG/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/89FTBG/", "attachments": []}, {"guid": "ff493f81-7e10-5ee8-8511-815839b855a2", "code": "8MQLNE", "id": 3789, "logo": null, "date": "2025-11-21T10:00:00+13:00", "start": "10:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-3789-building-a-simple-geospatial-web-app", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8MQLNE/", "title": "Building a simple geospatial web app", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "I'll show you how i built a simple web application that uses open source tools and open data to estimate NZ census counts within custom geographies.\r\nI'll share some tips and tricks i learned along the way and hopefully inspire you to make your own geo web app.", "description": "I'll show you how i built a relatively simple web application that uses open source tools (Python, Dash, Leaflet, GeoParquet) and open data (NZ Census 2023, NZ building outlines) to estimate NZ census counts within custom geographies.\r\nI'll share some tips and tricks i learned along the way and hopefully inspire you to make your own geo web app.", "recording_license": "", "do_not_record": true, "persons": [{"code": "TCBGDX", "name": "Alexander Raichev", "avatar": null, "biography": "Alex works at MRCagney, an urbanist consultancy in Auckland, where he leads the Data Science Team in analysing and visualising civic data and creating beautiful tools for data-driven decision-making.\r\nAlex enjoys riding his bicycle to work, devising algorithms, designing visualisations and user interfaces, working on small teams, and using his skills to benefit society.", "public_name": "Alexander Raichev", "guid": "86493663-0a53-52f4-b0d4-c61dc4bb3185", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/TCBGDX/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8MQLNE/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/8MQLNE/", "attachments": []}, {"guid": "0d2a4463-bd6c-5718-8448-9783661c13c1", "code": "KBQPBJ", "id": 4316, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/KBQPBJ/Screenshot_From_2025-07-09_01-06-48_WjH1pXz.png", "date": "2025-11-21T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4316-mapping-the-world-empowering-people-qfield-s-vision-in-practice", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KBQPBJ/", "title": "Mapping the World, Empowering People: QField\u2019s Vision in Practice", "subtitle": "", "track": "Desktop GIS & Data Collection", "type": "Talk", "language": "en", "abstract": "Explore how QField empowers people to map and understand the world\u2014supporting daily tasks, global challenges, and the UN SDGs through open-source, intuitive, and collaborative mobile geospatial tools.", "description": "QField helps people map and understand the world\u2014enabling them to solve everyday tasks and tackle global challenges. In this talk, we\u2019ll dive into how QField is used in diverse contexts: from conservation and climate action to infrastructure planning and public service delivery.\r\n\r\nYou\u2019ll hear how the app\u2019s open-source foundation, intuitive interface, and powerful features are making high-quality field data collection accessible to all. We\u2019ll also showcase how QField supports the UN Sustainable Development Goals and fosters a global community of practitioners working for impact. Whether you're new to QField or a long-time contributor, this session will show how the vision of \"mapping the world, empowering people\" is being realized every day.", "recording_license": "", "do_not_record": false, "persons": [{"code": "8VUFRV", "name": "Marco Bernasocchi", "avatar": "https://talks.staging.osgeo.org/media/avatars/094d5f0768ac7ead78be67b37dffe778_yJmXEAG.jpg", "biography": "Marco Bernasocchi is an open-source advocate, entrepreneur and full-stack geoninja. He is the creator of QField for QGIS, currently serves as QGIS.org Chair, and is an Open Source Geospatial Foundation board member. In his day job, Marco is the CEO of OPENGIS.ch, which he founded in 2011.\r\n\r\nA geographer by trade, Marco lives in a small Romansh-speaking mountain village in Switzerland, where he loves scrambling around the mountains to enjoy the feeling of freedom it gives him. Outgoing, flexible and open-minded, Marco fluently speaks five languages. The best thing is: He not only knows how to say it but also loves sharing his know-how.", "public_name": "Marco Bernasocchi", "guid": "00b3a94c-7e92-536b-a523-23e3d6f35d31", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/8VUFRV/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KBQPBJ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KBQPBJ/", "attachments": []}, {"guid": "2182058b-afed-5a68-abfa-380040153352", "code": "KQX3KA", "id": 4534, "logo": null, "date": "2025-11-21T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4534-use-of-freeware-to-support-regional-capability-development", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KQX3KA/", "title": "Use of Freeware to support Regional Capability Development", "subtitle": "", "track": "Community, Collaboration & Impact", "type": "Talk", "language": "en", "abstract": "IIC have intentionally incorporated the benefits of free and open source software into recent projects for the benefit of the client and regional development. These have included training and SDI resolves for the Pacific, a QGIS charting plugin and a free Electronic Charting System.", "description": "IIC have recently undertaken a series of unique projects where we have intentionally leveraged the benefits and cost savings of freeware and open source software to achieve greater outcomes for our clients and the community at large. These projects have included the delivery of Capacity Development Training in the Pacific to nearly 100 students maximising the use of freeware and online tools; the development of a Spatial Data Infrastructure and knowledge base for Pacific Islands nations that leverages opensource software to maximise its outcomes; a QGIS plugin that is available to the community that allows the automated conversion of bathymetric data to a chart-like product for use in Electronic Chart Systems (ECS), and finally the development of an advanced Electronic Chart System App that utilises National Authority official S-57 data, that is freely available for use by the  public.", "recording_license": "", "do_not_record": false, "persons": [{"code": "MFJA7L", "name": "DAVID CROSSMAN", "avatar": "https://talks.staging.osgeo.org/media/avatars/MFJA7L_PbCpdaT.webp", "biography": "David has worked in the geospatial and maritime domain for all of his career. Primarily within the NZDF, culminating as Hydrographer RNZN and Director Geospatial Intelligence NZ. He is passionate about the hydrographic, geospatial and maritime disciplines and has held senior positions on regional and international geospatial and hydrographic boards.", "public_name": "DAVID CROSSMAN", "guid": "1252f1eb-7a79-54c7-b192-635eb5ab12cf", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/MFJA7L/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KQX3KA/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/KQX3KA/", "attachments": []}, {"guid": "da159c85-ad3d-5efa-8ffe-60e554491d4c", "code": "DZRYCJ", "id": 4397, "logo": null, "date": "2025-11-21T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4397-earth-search-expanding-open-access-to-sentinel-2-and-beyond", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DZRYCJ/", "title": "Earth Search: Expanding Open Access to Sentinel-2 and Beyond", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Earth Search is Element 84\u2019s open, cloud-native STAC API for public Earth observation data. This talk covers pipeline updates, metadata fixes, and open-source plans\u2014making geospatial data easier to find and use.", "description": "Earth Search is Element 84\u2019s free, cloud-native catalog that makes public Earth observation data\u2014like Sentinel-1 and Sentinel-2\u2014discoverable, analysis-ready, and open to all. This talk will share an in-depth update on the current state of Earth Search, the pipelines that power it, and our recent work to ensure long-term stability and transparency.\r\n\r\nWe\u2019ll cover how the team has taken over the Sentinel ingestion pipeline on AWS, tackled metadata gaps and ingestion bugs, and improved the catalog\u2019s coverage and accuracy. Attendees will learn how the pipeline generates Cloud-Optimized GeoTIFFs and rich STAC metadata that follows current best practices and extensions\u2014making advanced cloud-native workflows possible.\r\n\r\nWe\u2019ll also discuss our plans to open source the entire Earth Search processing stack, explain how the community can benefit from and contribute to it, and share progress on addressing known gaps in the Sentinel-2 archive. From debugging broken asset links to filling missing scenes and deprecating legacy collections, this talk will give a transparent look at the challenges of maintaining a massive, open geospatial archive\u2014and what\u2019s next as we continue to expand reliable, standards-based access for everyone.", "recording_license": "", "do_not_record": false, "persons": [{"code": "W8MQ89", "name": "Matthew Hanson", "avatar": "https://talks.staging.osgeo.org/media/avatars/a69872d70b97e337c047d8ecbcbc1721_9pXlOo0.jpg", "biography": "Matthew Hanson is a Director at Element 84, where he leads teams developing cloud-native solutions for managing and delivering geospatial and Earth observation data. He is a long-time advocate for open-source geospatial software and open standards, with deep involvement in the development and adoption of STAC (SpatioTemporal Asset Catalog) and related tooling. 2025 marks his 11th FOSS4G, reflecting his commitment to collaboration, community building, and pushing the geospatial ecosystem forward through practical, modern data workflows.", "public_name": "Matthew Hanson", "guid": "34571de8-ba9d-535a-8911-1af18c5fe91f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/W8MQ89/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DZRYCJ/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DZRYCJ/", "attachments": []}, {"guid": "755d5c70-b9f5-5b3a-bdb1-b2a979ec00c2", "code": "P97F9C", "id": 4351, "logo": null, "date": "2025-11-21T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4351-look-ma-no-hands-automating-open-source-geospatial-infrastructure-with-aws-cdk-iac", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/P97F9C/", "title": "Look ma, no hands: Automating Open-Source Geospatial Infrastructure with AWS CDK (IaC)", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Learn how Abley\u2019s mapping stack leverages Amazon Web Services (AWS) and the AWS Cloud Development Kit (CDK) to automate, standardize, and scale geospatial infrastructure. Discover how our reusable CDK library enables rapid, environment-driven deployment of high-performance mapping services that power the Abley  SafeSystem  and geospatial APIs.", "description": "Modern geospatial applications demand robust, scalable, and repeatable infrastructure. At Abley, we\u2019ve developed a mapping stack\u2014built on open-source components like PostGIS, GeoServer, and MapLibre\u2014deployed using a fully automated Amazon Web Services (AWS) infrastructure-as-code (IaC) pipeline. Central to our approach is a reusable AWS Cloud Development Kit (CDK) library that encapsulates best practices for naming, tagging, and resource retention, ensuring consistency and compliance across all environments.\r\nThis talk will showcase how our infrastructure-as-code (Iac) strategy accelerates the deployment of Abley\u2019s SafeSystem suite, a set of road safety applications and APIs. By centralizing infrastructure logic in a shared CDK library, we enable rapid provisioning, environment-specific configuration, and seamless integration with continuous integration and continuous deployment (CI/CD) pipelines. Our architecture supports high-availability and cost-effective geospatial services.\r\nAttendees will gain practical insights into:\r\n\u2022\tStructuring a reusable CDK library for shared infrastructure code and multiple CDK applications.\r\n\u2022\tUsing the AWS CDK to enforce organizational standards and automate resource management.\r\n\u2022\tLeveraging environment-driven configuration for safe, flexible deployments.\r\n\u2022\tIntegrating open-source geospatial tools with modern cloud infrastructure.\r\nWhether you\u2019re building public mapping services or internal analytics, this session will provide actionable patterns for deploying and managing geospatial infrastructure at scale with AWS and the CDK.", "recording_license": "", "do_not_record": false, "persons": [{"code": "F3EY93", "name": "Subodh Dangwal", "avatar": "https://talks.staging.osgeo.org/media/avatars/Subodh_Profile_NGW5NLh.png", "biography": "Subodh is a passionate full-stack web developer, GIS Specialist, and DevOps engineer with extensive experience in geospatial technologies, cloud infrastructure, and enterprise solution development. He excels at architecting comprehensive solutions that bridge the gap between complex geospatial data and intuitive user experiences, leveraging cloud infrastructure, containerization, and modern development practices to deliver scalable, maintainable systems that drive real business outcomes.", "public_name": "Subodh Dangwal", "guid": "68c654e6-f5e1-55ca-83b1-1a64e1f4e22b", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/F3EY93/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/P97F9C/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/P97F9C/", "attachments": []}, {"guid": "adfe3e8f-a598-5d77-8440-4a47fb3cb13a", "code": "N8FMS9", "id": 4295, "logo": null, "date": "2025-11-21T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4295-securing-stac-apis-auth-patterns-and-a-proxy-based-approach", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/N8FMS9/", "title": "Securing STAC APIs: Auth Patterns and a Proxy-Based Approach", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "Learn how to secure STAC APIs using OIDC, CQL filtering, and existing STAC extensions. We present **stac-auth-proxy**, a backend-agnostic FastAPI proxy for enforcing flexible auth policies, including integration with Open Policy Agent.", "description": "As STAC APIs power more real-world applications, authentication (authN) and authorization (authZ) become essential. Yet, the STAC specification leaves these concerns to be addressed by implementers.\r\n\r\nIn this talk, we outline common auth needs seen across STAC deployments, including:\r\n\r\n- **Route-level access control** - marking some or all endpoints as private\r\n- **Record-level filtering** - limiting collections or items by request context such as user, group, or role\r\n- **Asset-level access** - transferring our authN policies to the asset files themselves\r\n\r\nWe\u2019ll introduce [**stac-auth-proxy**](https://github.com/developmentseed/stac-auth-proxy), a backend-agnostic FastAPI-based proxy that integrates with any modern STAC API and OIDC authentication server (e.g., Keycloak, AWS, Cognito, Auth0). We will discuss how we utilize existing extensions such as the [Authentication Extension](https://github.com/stac-extensions/authentication), [Filter Extension](https://github.com/stac-api-extensions/filter), [Collection Search](https://github.com/stac-api-extensions/collection-search), and [Transaction Extension](https://github.com/stac-api-extensions/transaction) to build a secure and self-descriptive STAC API. Finally, we will discuss how stac-auth-proxy can be integrated with external policy engines, such as [Open Policy Agent](https://www.openpolicyagent.org/), to provide a comprehensive decoupled solution.", "recording_license": "", "do_not_record": false, "persons": [{"code": "7HKBZZ", "name": "Anthony Lukach", "avatar": "https://talks.staging.osgeo.org/media/avatars/DSC02839-bw-headshot_EMDvdPR.jpg", "biography": "A cloud engineer @ DevelopmentSeed; working out of Nelson, British Columbia, Canada.", "public_name": "Anthony Lukach", "guid": "de56a08f-5964-5d17-80e5-b35c0911706a", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7HKBZZ/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/N8FMS9/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/N8FMS9/", "attachments": []}, {"guid": "5847cd07-6a64-5897-a6fa-76deb6cb0941", "code": "Z88HKS", "id": 4504, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/Z88HKS/logo_title_left_7fOPksX.png", "date": "2025-11-21T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG404", "slug": "foss4g-2025-4504-the-pacific-data-hub-a-federated-data-platform", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Z88HKS/", "title": "The Pacific Data Hub, a federated data platform", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "A deep dive into the open-source based tech stack behind the Pacific Data Hub.", "description": "The **Pacific Data Hub** platform is the one-stop-shop for anyone who seeks data about the Pacific region across multiple domains including population statistics, fisheries science, climate change adaptation, disaster risk reduction, public health, food security and human rights. \r\nIt was designed as a set of highly-specialised, open-source based data management systems covering the different types of data (array-oriented scientific data, geospatial datasets, statistical data cubes, and documents) overarched by a catalog of metadata forming a **federated data platform**. The catalog also references data from national governements, regional organizations, and global partners.\r\n\r\nThe datasets are indexed in the CKAN-based catalog via harvesters or entry forms. The metadata is then re-disseminated by CKAN with a centralised schema and taxonomy via Data Catalog Vocabulary (DCAT). Whenever it is possible, the catalog provides links to the data either as direct download link or OGC standards APIs.\r\nThe federated data platforms includes:\r\n- [**Geonode**](https://geonode.org/) for Geospatial datasets (DEMs, bathymetry, administrative boundaries, risk assessment output models, ...)\r\n- THREDDS and [**TDS**](https://www.unidata.ucar.edu/software/tds/) for scientific data arrays (sea surface height, temperature, wave, current, tides, salinity, ...)\r\n- [**.Stat Suite**](https://sis-cc.gitlab.io/dotstatsuite-documentation/) for statistical indicators (SDGs, population, economy, trade, ...)\r\n\r\nThose platforms are completed by dashboards, tools and visualisation apps connected to the data via APIs to provide insights to inform better policy development and decision-making including:\r\n- the [Pacific Maritime Boundaries Dashboard](https://pacificdata.org/dashboard/maritime-boundaries) is the regional tool for sharing information about the Pacific island maritime boundaries and zones. Based on Drupal pages, it provides map views of EEZs and other maritime zones and links to their associated treaties.\r\n- the [Blue Pacific 2050 Dashboard](https://blue-pacific-2050.pacificdata.org/) is a NextJS dashboard that display charts of key development indicators pulling data from a SDMX APIs.\r\n- [PacificMap](https://map.pacificdata.org/) is a generic map viewer that can connect to the CKAN catalog to display the __Geonode__-hosted GIS datasets but also the .Stat statistical indicators as chloropeth maps.\r\n- the [Pacific Ocean Portal](https://oceanportal2.spc.int/) provides access to historical and forecast ocean conditions as well as in-situ observations provided by __TDS__.\r\n\r\nThis presentation is about giving details on the standards, technologies and tools deployed within the platform, describing the API-based interconnections and the data workflows involved. It will also provide an overview of the challenges encountered when maintaining a platform with reliable and timely data coming from a wide diversity of providers.", "recording_license": "", "do_not_record": false, "persons": [{"code": "XMVYJX", "name": "Thomas Tilak", "avatar": "https://talks.staging.osgeo.org/media/avatars/wmremove-transformed_QO7dUGB.png", "biography": "A web developer passionate about geospatial data and earth observation \ud83c\udf0f.\r\nWorking for the \ud83c\udf3a Pacific Community in Noum\u00e9a\ud83e\ude74\ud83c\udf34\ud83e\udd3f.\r\nAlways eager to innovate and use new tools, formats, techniques to create cool stuff.", "public_name": "Thomas Tilak", "guid": "0bbbf623-1966-51d0-b075-b4a7bffccfe7", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/XMVYJX/"}, {"code": "JKKHBU", "name": "Stanislas Ozier", "avatar": null, "biography": "Solutions Architect for the Pacific Data Hub", "public_name": "Stanislas Ozier", "guid": "22638b26-b234-53d3-acb4-ce7e0fbe803b", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/JKKHBU/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Z88HKS/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/Z88HKS/", "attachments": []}], "WG802": [{"guid": "121424d3-58da-5ea7-977f-f486e6557c90", "code": "3NRE7Q", "id": 4209, "logo": null, "date": "2025-11-21T09:00:00+13:00", "start": "09:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4209-development-of-an-information-extraction-system-for-mobile-lidar-survey-data-using-free-and-open-source-technologies", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3NRE7Q/", "title": "Development of an Information Extraction System for Mobile LiDAR Survey Data using Free and Open Source Technologies", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "A 3D WebGIS Information Extraction System was developed to retrieve and visualize Mobile LiDAR Survey data by integrating spatial objects with attribute information. The system aims to have a user-friendly interface and uses free and open-source technologies including Python, HTML5, JavaScript, PostGIS, GeoServer. Leaflet and Cesium.", "description": "1.\tIntroduction\r\n\u2022\tRapid advancements in technology have improved 3D visualization techniques in Geographic Information Systems (GIS). Open-source solutions can provide the functionality to store and visualise large quantities of GIS data in multiple formats.\r\n\u2022\tThis paper describes a WebGIS application for visualizing Mobile LiDAR GIS data across various Levels of Detail (LoDs).\r\n2. Mobile LiDAR Survey Technologies\r\n\u2022\tMobile LiDAR is a powerful geospatial technology for surveying complex urban landscapes including roads and roadside infrastructure. It provides accurate 3D data by integrating laser scanning, Inertial Measurement Unit (IMU), and Global Navigation Satellite System (GNSS) technologies to produce detailed point clouds. \r\n\u2022\tA schematic truck-mounted Mobile LiDAR system is shown in Figure 1.\r\n\r\n \r\nFigure 1: Mobile LiDAR system (adapted from [1]\r\n\r\n\u2022\tMobile LiDAR Surveys (MLS) capture X, Y, Z coordinates of laser light reflecting objects along with attributes like intensity and RGB colour values. They also capture imagery that can be fused with the point cloud data to improve object classification.\r\n\u2022\tTo identify and semantically classify objects such as roadside features requires the use of Artificial Intelligence (AI) software which incorporates complex algorithms which may be tailored to particular types of object. Thus detecting the road surface may require a different algorithm from pole-like objects such as street signs.\r\n\u2022\tThis study is based on survey data captured by Cyvl  LiDAR and 360-degree optical imagery sensors mounted on vehicles which travel on targeted roads at the same speed as other traffic. The Cyvl system also contains a suite of Artificial Intelligence (AI) software which is mainly used for road inventory recording, defect detection and road safety management. Road defects include road pavement damage and potholes. Road safety issues include street trees encroaching on the road, damaged signage, lighting fixtures and lane markings and driving obstacles on the road. The road infrastructure data relevant to this project are indicated in the diagram below.\r\n \r\nFigure 2: Taxonomy of elements for road surface and object identification (adapted from [2]). Features relevant to this project are indicated by orange boxes.\r\n\u2022\tAn additional type of infrastructure feature not shown above is powerlines, both roadside and cross country. The Cyvl system is capable of identifying powerlines as well as vegetation which may impinge on them, and the project may involve development of specialized algorithms to assess the risk and advise on vegetation removal action.\r\n\u2022\tThe Cyvl system identifies and semantically classifies roadside features captured by its optical imagery sensors and matches these to the point cloud data collected by its LiDAR sensor. This is a more accurate method of identifying roadside features than methods which rely on LiDAR data alone, see eg [3].\r\n\u2003\r\n3.\tInformation Extraction System Overview\r\n\u2022\tRoadside objects are segmented using the Cyvl2 AI system. Each object is stored in an ontological format, reducing data size for efficient querying. The integration process results in a semantically rich master geo-database for various roadside feature classes.\r\n\u2022\tThe system will allow for various types of queries, including spatial location-based, attribute-based, and aggregate queries.\r\n\u2022\tThis approach will be an ensemble of (i) data pre-processing (ii) data integration, schema development and 3D database development and (iii) data extraction and an integrated visualisation module.\r\n\u2022\tA system architecture diagram (simplified) is depicted in Figure 3 below.\r\n  \r\nFigure 3: Systems Architecture\r\n\u2022\tThe system architecture is entirely open-source, comprising multiple python packages including Geopandas, TensorFlow, Keras, PyTorch and NumPy, together with well-established database package PostgreSQL/PostGIS and server GeoServer. GeoServer is able to serve both geospatial data and HTML (www) files. The front end is under development, with software packages for 2D and 3D data including Leaflet and OL3-Cesium under evaluation.\r\n\r\n4.\tPreliminary results: a Leaflet-based map viewer\r\n\u2022\tData provided by the Cyvl system was processed using 16 GeoTIFF tiles into a GeoServer Image Mosaic. These geotiff files were transformed from .LAS point cloud files collected by Civiltech.\r\n\u2022 \tConfigured Web Map Service (WMS) rendering using coordinate reference system EPSG:28355\r\n\u2022 \tThe map added grayscale SLD for better visibility\r\n\u2022\tSee screenshot produced by Ryan Watson Consulting is shown below as Figure 4.\r\n \r\nFigure 4: Screenshot of 16 geotiff files as a mosaic\r\n5.\tConclusions\r\n\u2022\tThe developed WebGIS application effectively extracts and visualizes Mobile LiDAR survey data. This will help road authorities make more effective use of the data being collected.\r\n\u2022\tFuture research will focus on optimizing querying algorithms and expanding the application scope of the proposed framework.\r\n\u2022\tFuture applications may include complex queries such as assigning Pavement Condition Index (PCI) and road safety ratings such as the International Road Assessment Program (iRAP) star rating.\r\n\r\n6.\tReferences\r\n1.\tNational Cooperative Highway Research Program (US) (2025). Chapter 9: Typical components of mobile LIDAR systems. In: Transportation Research Board of the National Academies (ed.) Guidelines for the Use of Mobile LIDAR in Transportation Applications.  Available from: https://learnmobilelidar.com/guidance-document/chapter-9-background/.\r\n2.\tLuo, Z., Gao, L., Xiang, H. and Li, J. (2023). Road object detection for HD map: Full-element survey, analysis and perspectives. ISPRS Journal of Photogrammetry and Remote Sensing 197 2023/03/01/ 122-144 DOI: https://doi.org/10.1016/j.isprsjprs.2023.01.009\r\n3.\tAbro, G.-E. M., Zahid, F., Rajput, S., Azhar Ali, S. S. and Aromoye, I. A. (2025). Challenges and Innovations in 3D Object Recognition: The Integration of LiDAR and Camera Sensors for Autonomous Applications. Transportation Research Procedia 84 2025/01/01/ 618-624 DOI: https://doi.org/10.1016/j.trpro.2025.03.116", "recording_license": "", "do_not_record": false, "persons": [{"code": "KADXM7", "name": "Richard Watson", "avatar": "https://talks.staging.osgeo.org/media/avatars/richard_watson_qbppQBs.jpg", "biography": "Richard is a co-Founder and co-Director of Ryan Watson Consulting Pty Ltd (RWC), a small consulting firm in Geospatial Data Analytics in Melbourne, Australia. Richard worked for 25 years as a Research Scientist in Operations Research for the Australian Defence Science and Technology Organisation, and as a Part-time Lecturer in IT. Although many people of his age group are content to retire, Richard and his co-Founder Peter Ryan are committed to lifelong learning and helping the community, and set up their consultancy to help public and private organisations make better use of the real-time and open data now available via internet-of-things technology and government open data policies. As well, RWC supports free and open-source software, including geospatial, which can facilitate decision making in many areas of government and industry.\r\n\r\n[linkedIn](https://au.linkedin.com/in/richard-watson-7141629a)\r\n\r\n[RWC](https://www.ryanwatsonconsulting.com.au/dr-richard-watson)", "public_name": "Richard Watson", "guid": "eb20bb49-cf53-56ca-be0a-53944c16cc05", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KADXM7/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3NRE7Q/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/3NRE7Q/", "attachments": [{"title": "PAPER-Development-of-an-Information-Extraction-System-for-Mobile-LiDAR-Survey-Data.pdf", "url": "/media/foss4g-2025/submissions/3NRE7Q/resources/PAPER-Development-of-an-Information-Extraction-_Fd4d50H.pdf", "type": "related"}]}, {"guid": "6293f23f-1267-5a6b-bb98-e05cecc6a93f", "code": "SNCZ98", "id": 4245, "logo": null, "date": "2025-11-21T09:30:00+13:00", "start": "09:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4245-digital-earth-pacific-enabling-earth-intelligence-to-achieve-development-goals-in-the-pacific", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SNCZ98/", "title": "Digital Earth Pacific - Enabling Earth Intelligence to Achieve Development Goals in the Pacific", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Digital Earth Pacific (DEP) adapts proven Earth Observation frameworks and standards to the unique needs of Pacific island states. Presentation explores DEP\u2019s regional scaling journey, highlighting design choices, partnerships, data architecture that address scale, capacity, and sustainability - advancing equitable cloud-native EO infrastructure for sustainable development in the Pacific.", "description": "Translating a successful public-good Earth Observation (EO) infrastructure across regions is not a straightforward process of replicating technology stacks and methodologies. Digital Earth Pacific (DEP) builds upon the established open-source, standards-based foundations of Digital Earth Australia and Digital Earth Africa, yet it adapts these frameworks to suit the distinctive environmental, political, and technical circumstances of the small island states in the Pacific region. This presentation provides an overview of the journey undertaken by DEP to scale Earth observation capabilities to a regional, multi-agency context within the Pacific. We will delve into the design choices, partnership models, data architecture transformations, and scaling-up strategies that are pivotal to DEP\u2019s success. From the challenges posed by disparity in scale to the capacity-building requirements, this presentation highlights both the limitations and innovations inherent in constructing a cloud-native platform designed for equitable access, scalability, and long-term sustainability, to inform sustainable development efforts within the Pacific region.", "recording_license": "", "do_not_record": false, "persons": [{"code": "YJS39B", "name": "Sachindra Singh", "avatar": "https://talks.staging.osgeo.org/media/avatars/profile_UDPBGZ8.jpg", "biography": "Sachindra Singh is the Team Leader of the Earth and Oceans Observation Programme, at the Geoscience, Maritime and Energy Division (GEM), Pacific Community (SPC). He has 15 years experience in geospatial-oriented systems and software engineering. A strong advocate of open source technologies for capacity building and sustainable development in developing countries, he has implemented robust decision-making tools and services around disaster risk analysis, climate impacts and natural resources monitoring based on geospatial and remotely-sensed data in the Pacific, both on regional and national levels. He has designed and conducted numerous capacity building exercises on open source GIS/RS and earth observation tools and systems in the Pacific Region, and currently is providing lead technical support for the Digital Earth Pacific (DEP) initiative within Pacific Community (SPC).", "public_name": "Sachindra Singh", "guid": "216dc16e-c25a-5403-af1f-46469809db83", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/YJS39B/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SNCZ98/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SNCZ98/", "attachments": []}, {"guid": "5f057354-2330-500b-9289-8383435587f1", "code": "FYLYBK", "id": 4496, "logo": null, "date": "2025-11-21T10:00:00+13:00", "start": "10:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4496-rocs-extending-romania-s-national-infrastructure-within-the-european-collaborative-ground-segment-with-foss4g-solutions", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FYLYBK/", "title": "ROCS: Extending Romania\u2019s National Infrastructure within the European Collaborative Ground Segment with FOSS4G Solutions", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "ROCS is building Romania\u2019s Earth Observation infrastructure using FOSS4G tools like STAC, COG, Zarr, MinIO and Kubernetes. The platform enables scalable, cloud-native data access, processing and analytics. Real-world use cases include crop monitoring, forest compliance, EO education, all developed in an open and reusable manner.", "description": "The ROCS project represents a national effort to build a scalable, cloud-native infrastructure for EO data management and analysis in Romania, fully based on FOSS4G tools. The presentation will cover the project\u2019s architectural design, technical stack (including STAC, COG, Zarr, OGC APIs and Kubernetes) and implementation of federated data centers that ensure efficient, distributed EO processing.\r\nA key focus is on real-world applications, including automated crop monitoring, forestry compliance (e.g., EUDR), and the integration of EO tools in education. ROCS is committed to open development, reproducibility and interoperability, aiming to contribute back to the FOSS4G community. The session will be valuable for developers, platform builders and public sector stakeholders interested in building sustainable, cloud-ready EO platforms with open-source technologies.\r\n\r\nThe talk will also reflect on practical challenges encountered, including the growing concern over license volatility in widely used open-source projects and how this affects long-term sustainability.", "recording_license": "", "do_not_record": false, "persons": [{"code": "WVERQR", "name": "Vasile Cr\u0103ciunescu", "avatar": "https://talks.staging.osgeo.org/media/avatars/vasile_craciunescu-bv_ZooAA5f.jpeg", "biography": "Vasile Craciunescu is a researcher with more than 24 years experience, working for the Romanian National Meteorological Administration and Terrasigna, being in charge with the scientific and operational activities related to GIS database design and implementation, deployment of standardized web services, spatial enabled web interfaces, ETL, EO data processing, project management. He received his diploma in cartography and physical geography in 2001. He has a good experience in working and leading national, EU and ESA research projects. In 2006 Vasile started geo-spatial.org (http://geo-spatial.org), a collaborative effort by and for the Romanian community to facilitate the sharing of geospatial knowledge and the discovery and publishing of free geographic datasets and maps. Since 2011 he is the Romanian delegate in the Copernicus User Forum at the European Commission and the technical representative of Meteo Romania at Open Geospatial Consortium. In August 2014 he was elected to the Open Source Geospatial Foundation board of directors. For the last 14 years he has been teaching FOSS4G-based techniques at the Faculty of Geography - University of Bucharest in the first Romanian ICA-OSGeo Lab. Vasile was the chair of the 2019 FOSS4G international conference. From February 2021 he is the Romanian delegate in the Destination Earth Coordination Group and recently was appointed as national expert in the EEA EIONET Copernicus Technical Group.", "public_name": "Vasile Cr\u0103ciunescu", "guid": "a68d7b55-3836-5115-ad6d-3028d607e858", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/WVERQR/"}, {"code": "HVEWEQ", "name": "Marian Neagul", "avatar": "https://talks.staging.osgeo.org/media/avatars/587c7532256a3d6ef8a0a29566f3ca4e_imJ8OQr.jpg", "biography": "Marian Neagul is currently a Post Doctoral Researcher at the Institute eAustria Timisoara. Marian graduated with a B.A. degree in Computer Science from West University of Timisoara (UVT). He obtained his M.S. from UVT in 2011 and a Ph.D. also from UVT in 2015.\r\n\r\nMarian\u2019s general research topics cover machine learning, distributed systems, computer networks and operating systems. Lately he has focused on Machine Learning applied to Earth Observation applications, Earth Observation platforms and Cloud Computing, particularly orchestration, deployment and configuration management.\r\n\r\nMarian was involved in several research projects ranging from areas like GRID Computing, Cloud Computing up to Digital Preservation. Some of the notable research projects include the FP7 mOSAIC Project (building an PaaS and API for cloud applications), FP7 MODAClouds (focusing on model driven development of cloud applications), H2020 CloudLightning (targeting the research of self organising clouds), H2020 Harmonia and AI4Europe. As part of his work in the afore mentioned projects Marian coauthored more then a dozen research papers in the areas of interest of the projects.\r\n\r\nMarian is also involved in standardisation activities with ESA and OGC, particularly in the area of exploitation platforms and EO processing specifications.", "public_name": "Marian Neagul", "guid": "6b0c1cd8-4dbc-508c-8687-5f9774a3f6c4", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/HVEWEQ/"}, {"code": "ACZXZN", "name": "Iuhasz Gabriel", "avatar": null, "biography": null, "public_name": "Iuhasz Gabriel", "guid": "53564a18-01bb-5fe3-b2ad-25d243ad3764", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ACZXZN/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FYLYBK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/FYLYBK/", "attachments": []}, {"guid": "1f710c7d-82a4-5226-b7a3-6803dfe775e6", "code": "TARXLF", "id": 4529, "logo": null, "date": "2025-11-21T11:00:00+13:00", "start": "11:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4529-free-and-open-source-ai-assisted-mapping-fair", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TARXLF/", "title": "Free and Open Source AI Assisted Mapping : fAIr", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "fAIr is an open AI-assisted mapping platform developed by the Humanitarian OpenStreetMap Team (HOT). In this talk we will go through current progress and state of the art of usage of AI in humanitarian mapping. We will share our experience and roadmap of fAIr .", "description": "The service uses AI models, specifically computer vision techniques, to detect objects in satellite and UAV imagery.", "recording_license": "", "do_not_record": false, "persons": [{"code": "CKFPW3", "name": "Kshitij Raj Sharma", "avatar": "https://talks.staging.osgeo.org/media/avatars/kshitij_KDiopkb_P0aEc9P.jpg", "biography": "Kshitij Raj Sharma is a Geospatial Developer from Nepal, passionate about open-source software and open data. With a decade of FOSS advocacy, he is a founding member of OSGEO Nepal. He is currently a student of the Copernicus Master's in Digital Earth specializing in Geo Data Science and AI, and an AI Engineer at HOTOSM.", "public_name": "Kshitij Raj Sharma", "guid": "5cf4b2cc-0dc9-5146-8fe2-8ac2d3cdd93e", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/CKFPW3/"}, {"code": "GBFK8V", "name": "Omran NAJJAR", "avatar": "https://talks.staging.osgeo.org/media/avatars/_OHA2669_-_sma_GXkWv9i.jpg", "biography": null, "public_name": "Omran NAJJAR", "guid": "c12e3e01-2518-5054-a2c7-058a31210d51", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/GBFK8V/"}, {"code": "ZQKKLM", "name": "Leen", "avatar": "https://talks.staging.osgeo.org/media/avatars/Leen_Dhondt4_Ff2GAqe.JPG", "biography": "Leen is the Director of Technology and Data at the Humanitarian OpenStreetMap Team (HOT). Her drive: Connecting people through mapping for Social Good.\r\n\r\nThe HOT Technology team she leads co-creates open-source tools that empower communities to collaboratively create and use geospatial data for Good. \r\nBy democratizing access to this technology, the team enables communities to govern and protect their own data, use it to address local challenges, and actively participate in decision-making processes.\r\n\r\nWith over 15 years of experience in the geospatial industry across both public and private sectors, Leen has worked in diverse environments \u2014 from tackling development challenges in low-resource settings in Tanzania (Enabel) and the Democratic Republic of the Congo (WPF) to contributing to corporate geospatial business in Belgium (Capgemini) and Thailand (TomTom). \r\n\r\nLeen joined HOT's Technology Team in 2022, and has been leading it for the past three years, fostering innovation, collaboration, and community-driven impact.", "public_name": "Leen", "guid": "0ddc5004-2232-5048-ade3-cca2b47a56f9", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/ZQKKLM/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TARXLF/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/TARXLF/", "attachments": []}, {"guid": "427e7858-bc9a-5bcd-9b87-8debaf67085e", "code": "SWMF7K", "id": 4543, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/SWMF7K/chatmap-foss4g-talk-cover_V92SiDe.png", "date": "2025-11-21T11:30:00+13:00", "start": "11:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4543-introducing-chatmap-open-mapping-with-chat-apps", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SWMF7K/", "title": "Introducing ChatMap: Open mapping with chat apps", "subtitle": "", "track": "Use Cases and Applications", "type": "Talk", "language": "en", "abstract": "Mapping can look easy for some people, but it could be really hard for others. What if communities could just simply and easily utilize the existing apps for mapping?", "description": "Nearly 3.5 billion people in the world already use an instant messaging app for communications on a routine basis, many of them in high vulnerability locations. We've created a solution that enables mapping with instant messaging apps. From the chat to the map!\r\n\r\n- No need to install new apps\r\n- Learn how to map in 1 min\r\n- No installations or integrations needed\r\n- Everyone can access and contribute to the map\r\n\r\nWe'll explore how it works, successful use cases and the future of this new way of mapping.", "recording_license": "", "do_not_record": false, "persons": [{"code": "AQJKMM", "name": "Emilio Mariscal", "avatar": "https://talks.staging.osgeo.org/media/avatars/IMG_1227_copy_qLhCSCH.jpeg", "biography": "I have 20+ years of experience working on software design & development. I'm currently serving as Software Engineering Manager @ Humanitarian OpenStreetMap Team (HOT)\r\n\r\nI worked for the e-commerce, logistics, health care, marketing, geospatial, AI and humanitarian sectors. I also created and implemented free and open source software.\r\n\r\nI'm a volunteer firefighter in a rural town in Argentina, where I work mostly on wildfires, forest protection, wildland rescue and mapping.", "public_name": "Emilio Mariscal", "guid": "42c5c786-4e52-5828-99dd-f1389bc1c52f", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/AQJKMM/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SWMF7K/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/SWMF7K/", "attachments": []}, {"guid": "f82cde7d-8461-5acc-a3d6-dca6ccb602db", "code": "QQMXKK", "id": 4491, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/QQMXKK/opensearch_logo_default_jusEbBA.svg", "date": "2025-11-21T12:00:00+13:00", "start": "12:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4491-opensearch-geospatial", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QQMXKK/", "title": "OpenSearch Geospatial", "subtitle": "", "track": "Cloud, APIs & Data Infrastructure", "type": "Talk", "language": "en", "abstract": "OpenSearch is an open source 'observability platform' and a growing part of any modern DevOps stack and cloud infrastructure. Though it may seem a world away from anything to do with geospatial, I will show some of the geospatial capabilities of the platform.", "description": "OpenSearch is the open source version of what you may have otherwise heard of ('Elastic Search')\r\nif at some point if you work in DevOps or cloud infrastructure in the past decade or so.  In my role \r\nas a DevOps/software engineer I have worked on integrating OpenSearch as an observability platform\r\n(analysing/monitoring logs and metrics) for cloud hosted software application and services. I was \r\nvery excited to see that this software has geospatial! This presentation will outline the \r\ngeospatial capabilities of OpenSearch and use cases for the platform beyond an observability platform.\r\n\r\nFor more info - see https://opensearch.org/ or https://github.com/opensearch-project", "recording_license": "", "do_not_record": false, "persons": [{"code": "7AMTAS", "name": "Rebecca Ryan", "avatar": "https://talks.staging.osgeo.org/media/avatars/profile-pic_qqjYdp7.jpg", "biography": "Rebecca always saw the potential to transition to working with satellite imagery due to familiarity with raster image processing via research in x-ray physics (where she learnt the ropes with image processing) and has been inspired to work in geospatial in various roles as a software developer and dev ops engineer over the past decade. She is currently a Senior EO Developer at FrontierSI.", "public_name": "Rebecca Ryan", "guid": "8a7839fa-a432-5b9d-be5a-39ee00dc00a0", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7AMTAS/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QQMXKK/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/QQMXKK/", "attachments": []}, {"guid": "b4068ee5-8dba-5912-80d4-3ee8291c3a84", "code": "GMWCAD", "id": 4406, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/GMWCAD/CartoSymNE2_JLS1GFg.png", "date": "2025-11-21T13:30:00+13:00", "start": "13:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4406-introduction-to-libcartosym-libcql2-and-libde9im", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GMWCAD/", "title": "Introduction to libCartoSym, libCQL2 and libDE9IM", "subtitle": "", "track": "Tools, Libraries & Visualisation", "type": "Talk", "language": "en", "abstract": "An introduction and overview of the capabilities provided by the Free and Open Source Software libCartoSym and related dependency libraries (libCQL2, libDE9IM...) implementing the candidate [OGC Cartographic Symbology 2.0 Standard](https://github.com/opengeospatial/cartographic-symbology). http://cartosym.org/ https://github.com/ecere/libCartoSym", "description": "libCartoSym is a Free and Open-Source Software library implementing [OGC Cartographic Symbology 2.0](https://github.com/opengeospatial/cartographic-symbology)\r\n\r\n_libCartoSym_ aims to be an implementation of the [CartoSym-CSS](https://docs.ogc.org/DRAFTS/18-067r4.html#rc-cscss) and\r\n[CartoSym-JSON](https://docs.ogc.org/DRAFTS/18-067r4.html#rc-json) encodings defined in the candidate\r\n[OGC Cartographic Symbology - Part 1: Core Model and Encodings Standard version 2.0](https://docs.ogc.org/DRAFTS/18-067r4.html) Standard.\r\n\r\nThe library allows to read and write these CartoSym encodings, as well as import from and export to additional encodings of portrayal rules such as OGC [SLD](https://portal.ogc.org/files/?artifact_id=22364)/[SE](https://portal.ogc.org/files/?artifact_id=16700) and [Mapbox GL Styles](https://docs.mapbox.com/mapbox-gl-js/guides/styles/).\r\n\r\nSince the CartoSym encodings extend the [OGC Common Query Language (CQL2)](https://www.opengis.net/doc/IS/cql2/1.0), the library also relies on a related open-source libCQL2 library providing support for\r\nparsing and writing CQL2-Text and CQL2-JSON expressions, as well as run-time evaluation of CQL2 expressions. Support for performing spatial relation queries based on the\r\n[Dimensionally Extended-9 Intersection Model](https://en.wikipedia.org/wiki/DE-9IM) is also\r\nintegrated within a jointly developed _libDE9IM_ open-source library, and support for OGC Simple Features as well as parsing and writing geometries defined in\r\n[Well-Known Text (WKT)](http://portal.opengeospatial.org/files/?artifact_id=25355) and [GeoJSON](https://tools.ietf.org/rfc/rfc7946.txt) is also provided by related open-source libraries.\r\n\r\nWhile these libraries are written in the [eC programming language](https://ec-lang.org), object-oriented bindings for _libCartoSym_ automatically generated using Ecere's [binding generating tool (bgen)](https://github.com/ecere/bgen) will also be made available for the C, C++ and Python programming languages, with additional support planned for Java and Rust.\r\n\r\n_Acknowledgement_\r\nFinancial support provided by GeoConnections, a national collaborative initiative led by Natural Resources Canada. GeoConnections supports the modernization of the Canadian Geospatial Data Infrastructure (CGDI). The CGDI is the collection of geospatial data, standards, policies, applications, and governance that facilitate its access, use, integration, and preservation.", "recording_license": "", "do_not_record": false, "persons": [{"code": "KNRWPK", "name": "Jerome St-Louis", "avatar": "https://talks.staging.osgeo.org/media/avatars/jerome_D86JdmH.jpeg", "biography": "J\u00e9r\u00f4me St-Louis is founder and CTO of Ecere, initiated the FOSS Ecere Cross-Platform SDK project (1996), designed the eC programming language (2004) and the GNOSIS geospatial software suite (2014). J\u00e9r\u00f4me is now releasing a number of GNOSIS components as open-source projects, including DGGAL, libCartoSym, libCQL2 and libDE9IM. J\u00e9r\u00f4me is co-chair of multiple OGC Standard Working Groups and co-editors of multiple OGC Standards, as well as an OSGeo charter member and active contributor to the open-source geospatial community.", "public_name": "Jerome St-Louis", "guid": "d776b909-19d3-50fa-b723-6bd1989186be", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/KNRWPK/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GMWCAD/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/GMWCAD/", "attachments": []}, {"guid": "b6a9de44-af2c-50b9-a068-f1e5b48dc0eb", "code": "NRGXSA", "id": 4388, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/NRGXSA/foss4G_2025_NZ_-YJWon_BjhbjIo.png", "date": "2025-11-21T14:00:00+13:00", "start": "14:00", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4388-forecasting-flash-floods-in-seoul-using-tiny-radars-without-foss4g-in-the-operational-phase", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NRGXSA/", "title": "Forecasting Flash Floods in Seoul Using Tiny Radars without FOSS4G in the Operational Phase", "subtitle": "", "track": "AI, Data Science & Analytics", "type": "Talk", "language": "en", "abstract": "Seoul experiences concentrated rainfall. Our team is trying to mitigate the flooding by using tiny radars. During the development phase, our software architecture relied heavily on FOSS4G. However, for the operational phase, we have removed our dependency on FOSS4G. We have found that this approach is more suitable.", "description": ".", "recording_license": "", "do_not_record": false, "persons": [{"code": "NARQEW", "name": "YJ Won", "avatar": "https://talks.staging.osgeo.org/media/avatars/icetigernate_01-01_rzp7cxH.jpg", "biography": "GISP, MSc (Software Engineering)\r\nMy hobbys are cooking and boxing.\r\nhttps://www.linkedin.com/in/yjwon5183", "public_name": "YJ Won", "guid": "6251b8d5-2c8c-512e-86c1-77df66f6f1ad", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/NARQEW/"}], "links": [], "feedback_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NRGXSA/feedback/", "origin_url": "https://talks.staging.osgeo.org/foss4g-2025/talk/NRGXSA/", "attachments": []}, {"guid": "181afb80-a7f2-5567-af7b-e417a4fda67c", "code": "DXRKGK", "id": 4341, "logo": "https://talks.staging.osgeo.org/media/foss4g-2025/submissions/DXRKGK/VR_Flood_Street_j8cbSZu.png", "date": "2025-11-21T14:30:00+13:00", "start": "14:30", "duration": "00:25", "room": "WG802", "slug": "foss4g-2025-4341-virtually-flooded-representing-flood-model-predictions-in-virtual-reality-for-improved-public-engagement-and-understanding-of-risk", "url": "https://talks.staging.osgeo.org/foss4g-2025/talk/DXRKGK/", "title": "Virtually flooded: representing flood model predictions in virtual reality for improved public engagement and understanding of risk", "subtitle": "", "track": "Academic", "type": "Academic Paper", "language": "en", "abstract": "Improved communication of flood risk via advanced visualisation could lead to increased and wider understanding of flooding, and therefore improved planning decisions and reduced impacts. We demonstrate the representation of modelled flood scenarios within virtual reality, and an open-source Python package for ingesting flood model outputs into Unreal Engine.", "description": "Flood inundation is a frequent, widespread, and impactful hazard, with flood risk expected to increase in future because of climate change through increased storminess coupled with rapid growth of urban areas. To manage flood risk efficiently and effectively, communication of risk assessments for multiple scenarios needs to be targeted with the right method for the right audience. However, there is limited information on what works best, why, and for whom. Flood risks may be poorly understood by the public, with flood events taking communities by surprise even if risk assessments have been completed. Further, traditional two-dimensional risk maps are limited by interpretability challenges, especially given the inherent complexity of the data shown (e.g., depth of flooding at a given annual exceedance probability), and differences cartographic decisions taken (e.g., spatial scale and what additional features to show). Three-dimensional visualisations and immersive Virtual Reality (VR) technology have been found to be more intuitive due to their increased realism, with several studies finding that is a useful tool for improved community preparedness.\r\n\r\nOur research is developing advanced automated visualizations of flood risk scenarios using VR, with the aim to improve awareness of flood risk. Our work is building on our open-source flood risk assessment system, Flood Resilience Digital Twin (FReDT), which brings together computational models of flood inundation with other data for hazard assessment, management, and mitigation. A key objective of FReDT is to enable the automation of flood risk assessments, so that multiple scenarios can be assessed rapidly. Here, our focus is on the development of open-source software components which enable dynamic flood model predictions of water levels during a flood event to be ingested into virtual representations of modelled areas in Unreal Engine software from Epic Games. Thus, predictions for different scenarios (from any hydraulic model) are visualised in an immersive way in VR or with 360-degree video representations. \r\n\r\nWe have created a processing pipeline that takes a modelled flood scenario from FReDT (currently, produced using the BG-Flood hydraulic engine) and adds a representation of that flooding into an Unreal Engine virtual environment (level) of the same area. The level landscape must be produced from the same LiDAR terrain dataset as used to generate the flood model, so that the Unreal Engine representation aligns vertically with the flood model. Further development will include workflows to produce an Unreal Engine level purely from environmental data but currently we require this to be created independently.\r\n\r\nOur pipeline takes the flood scenario depth data, consisting of a time-series of geospatial raster layers in NetCDF format, and creates water \u201csources\u201d within Unreal Engine that match the depth over time of the raster. These water sources use Fluid Flux 3.0 for realistic fluid simulations at runtime and is required to represent the dynamics of the flood event, including the interaction of flow with objects in the VR environment. Fluid Flux is a proprietary Unreal Engine plugin from Imaginary Blend that solves the full shallow water equations in real-time at a high spatial resolution.   Water source placement currently decided by developers choosing points within the flood scenario extent and saving these to a geospatial vector file, although in a future version this process will also be automated. \r\nOur processing pipeline begins by using Python with open-source libraries such as XArray and GeoPandas to extract the depths over time for each of the given points and collate these data into a CSV file containing each point. This CSV file allows the second processing stage to occur within Unreal Editor, without requiring libraries to be installed into the Unreal Editor Python environment.\r\n\r\nIn Unreal Editor, a second Python script is called, which reads the CSV and creates water source actors at each given location. Unreal Float Curves are used to represent the depth of the water source over time. These water sources use Fluid Flux 3.0 simulation modifiers  with a custom Blueprint plugin implementation to provide time-series depth modification. These water sources are set to add water to the domain while the immediate surrounding area does not match their water level and remove water where the surrounding area exceeds it. The more sources of water added the more closely the Unreal Engine simulation aligns with the outputs of the flood model scenario. Using Fluid Flux 3.0, simulation states can be pre-run to allow switching between stages of flooding that could be hours apart in real time. This allows us to demonstrate multiple different stages of flooding, from a normal day through to peak inundation.\r\n\r\nDepending on how the simulations are setup, the topography of the VR domain can be substantially more detailed than the source flood model, and domain is likely to be a smaller spatial subset. The higher resolution allows the representation of flows around and between features such as buildings, although it should be noted that currently only the mass of water is included from source flood model simulations, not momentum, meaning that any highly dynamic flow (e.g., hydraulic jumps and super critical flow) is generated internally within Unreal Engine by Fluid Flux 3.0. Usual practice is to run flood model scenarios at around 5-10 m spatial resolution for river reaches of several kilometres, while the VR domain can be around 1 m spatial resolution for domains of approx. 2 x 2 km, depending on available video memory. Our current hardware comprises a NVidia RTX 4090 GPU with 24 Gb memory, of which around 8 Gb is used during simulations.\r\n\r\nA key outcome of our research is the methods and software which build on FReDT to create advanced flood visualizations, using virtual reality (VR) technology. We are currently engaging with communities regarding these visualisations to assess their effectiveness in communicating flood risk, including multiple scenarios of different levels of flood likelihood. The software developed enables users to switch between scenarios from within the VR system, with appropriate flood levels pulled into the system in real time. Ultimately, our aim is to enable users to interact with the environment, for example to make changes which are aimed at flood mitigation (e.g., natural flood solutions such as wetland restoration). These mitigation scenarios will be assessed using FReDT, enabling dynamic updating of the visualisations through automated ingestion of model outputs. More broadly, our work demonstrates how the outputs of advanced numerical models can be used directly within VR to create intuitive visualisations, with widespread potential applications such as in the communication of the potential impacts of climate change.\r\n\r\nGitHub repository: \r\nhttps://github.com/GeospatialResearch/UnrealFloodingScripts", "recording_license": "", "do_not_record": false, "persons": [{"code": "7G79AY", "name": "Matthew Wilson", "avatar": "https://talks.staging.osgeo.org/media/avatars/mattprofile_DlfRxvw.jpg", "biography": "Matt is a Professor in Spatial Information and the Director of the Geospatial Research Institute at the University of Canterbury, New Zealand.", "public_name": "Matthew Wilson", "guid": "9237b938-1927-5aed-bd7e-03316afde7cf", "url": "https://talks.staging.osgeo.org/foss4g-2025/speaker/7G79AY/"}, {"code": "8FMRTS", "name": "Luke Parkinson", "avatar": "https://talks.staging.osgeo.org/media/avatars/received_761857416191273_ybl3aHZ.jpeg", "biography": "Luke is the senior software developer at the Geospatial Research Institute | Toi Hangarau, leading development for multiple projects. 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