BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-europe-2024-workshops//s peaker//GXMXGL BEGIN:VTIMEZONE TZID:EET BEGIN:STANDARD DTSTART:20000101T000000 RRULE:FREQ=YEARLY;BYMONTH=1;UNTIL=20001231T220000Z TZNAME:EET TZOFFSETFROM:+0200 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20021027T050000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:EET TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:DAYLIGHT DTSTART:20020331T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:EEST TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-europe-2024-workshops-YTY3K8@talks.staging.osgeo.org DTSTART;TZID=EET:20240701T110000 DTEND;TZID=EET:20240701T130000 DESCRIPTION:In an era where access to Earth system data is expanding at an unprecedented rate\, effectively managing this highly-dimensional and volu minous influx poses significant challenges. The rise of Earth System Data Cubes (ESDCs) represents a revolutionary stride in efficiently handling\, analysing\, and visualising these complex datasets. ESDCs\, with their mul tidimensional array structure\, offer an organised\, intuitive framework f or robust data analysis. They encapsulate Earth system data in an analysis -ready form\, defined by spatial\, temporal\, and variable dimensions. The integration of novel cloud technologies and cloud-ready formats\, includi ng SpatioTemporal Asset Catalogs (STAC) and Cloud Optimised GeoTIFFs (COG) \, has further streamlined the construction of ESDCs.\n\nOur workshop is a comprehensive\, interactive session designed to equip participants with t he skills to construct and manage ESDCs using open-source Python tools.\n\ nThe workshop is divided into five engaging segments:\n\n1. **Introduction to Earth System Data Cubes (15 min)**: This segment presents the concept of ESDCs\, contrasting them with other data systems (such as image collect ions and information-preserving data cubes)\, and exposes their unique pro perties and construction rules.\n2. **ESDC Playground (15 min)**: Particip ants will engage with a global-scale ESDC (see [Mahecha et al.\, 2020](htt ps://doi.org/10.5194/esd-11-201-2020\n)) using Python libraries such as xa rray\, zarr\, dask\, and matplotlib\, demonstrating data access\, explorat ion\, analysis\, and visualisation.\n3. **Constructing ESDCs from Scratch (30 min)**: Leveraging cloud technologies and open-source software\, this segment guides through the creation of ESDCs from STAC catalogues and Goog le Earth Engine\, incorporating diverse data sources like Earth Observatio n resources (e.g. Sentinel and Landsat missions)\, climate data (e.g. ERA5 ) and other products (e.g. Land cover and elevation products).\n4. **Inter active Visualisation of ESDCs (30 min)**: Focuses on the dynamic visual re presentation of ESDCs using Lexcube (see Lexcube.org) within Jupyter Noteb ooks\, enhancing understanding through interactive widgets and coding.\n5. **Collaborative Outro (30 min)**: The workshop culminates in a brainstorm ing session aimed at unifying ESDC concepts\, discussing standards\, open- source tools\, and potential applications. This collective discussion will be gathered into a white paper\, aspiring for publication.\n\nThis worksh op invites participants from all skill levels\, from beginners to experts\ , with a foundational requirement of basic Python proficiency. Participant s are expected to have a pre-installed Python environment to fully engage in the workshop's hands-on segments. Join us in this journey to harness th e power of open-source software for exploring and understanding our planet in unprecedented detail. DTSTAMP:20260414T134940Z LOCATION:Room 301 SUMMARY:Harnessing Earth's Data: Mastering Earth System Data Cubes - David Montero Loaiza\, Maximilian Söchting URL:https://talks.staging.osgeo.org/foss4g-europe-2024-workshops/talk/YTY3K 8/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-europe-2024-workshops-LNA9L8@talks.staging.osgeo.org DTSTART;TZID=EET:20240702T140000 DTEND;TZID=EET:20240702T160000 DESCRIPTION:In the rapidly evolving field of remote sensing\, spectral indi ces are pivotal for monitoring and deciphering Earth system dynamics\, inc luding vegetation dynamics\, water bodies ecosystems\, and fire regimes. A s the range of available spectral indices expands\, the need for comprehen sive catalogues and computational tools becomes crucial. Enter the [Awesom e Spectral Indices (ASI)](https://github.com/awesome-spectral-indices/awes ome-spectral-indices) - a novel\, machine-readable\, and open-source catal ogue of spectral indices for Remote Sensing applications . ASI also promot es accessibility and application by integrating with three official Applic ation Programming Interfaces (APIs) tailored for Python\, Julia\, and Goog le Earth Engine's JavaScript API. This integration facilitates the computa tion of a vast number of indices\, adaptable to varied user experiences\, data availability\, and processing needs.\n\nOur interactive workshop is s tructured into five engaging segments\, each designed to showcase the pote ntial of ASI in various environments:\n\n1. **Introduction to Awesome Spec tral Indices (15 mins)**: This segment unveils the ASI catalogue\, highlig hting its standardisation\, the comprehensive range of spectral indices\, and their properties. Participants will also get a demonstration of “Esp ectro”\, a Streamlit web app\, for querying spectral indices.\n2. **ASI Python Mastery (30 min)**: Dive into “[spyndex](https://github.com/aweso me-spectral-indices/spyndex)”\, ASI’s Python API. This hands-on sessio n guides attendees through exploring and computing spectral indices for se veral Python objects such as pandas Data Frames\, numpy arrays\, and xarra y data arrays. Participants will leverage real-world data from STAC\, such as Sentinel-2 and Landsat-9\, applying parallel computing techniques with dask. This session is versatile\, accommodating both Google Colab and per sonal Python environments.\n3. **ASI in Google Earth Engine (20 min)**: Go ogle Earth Engine (GEE) stands as a colossus in remote sensing analysis. H ere\, we introduce “[spectral](https://github.com/awesome-spectral-indic es/spectral)”\, a JavaScript module for GEE\, offering access to ASI spe ctral indices. Practical exercises will involve computing indices for imag es and image collections using GEE’s extensive data catalogue. (GEE acco unt required).\n4. **Harnessing ASI in Julia (30 min)**: Julia's focus in high-performance scientific computing makes it ideal for Earth system appl ications. “[SpectralIndices.jl](https://github.com/awesome-spectral-indi ces/SpectralIndices.jl)” brings ASI's power to Julia\, enabling the comp utation of indices with remarkable efficiency . Participants will access i ndices and make computations for Arrays\, Data Frames and YAXArrays. Parti cipants should have a Julia environment pre-installed for this session\, i deally with the necessary dependencies already downloaded.\n5. **Collabora tive Outro (25 min)**: The workshop concludes with an interactive discussi on\, brainstorming enhancements for ASI (from standard improvements to com putational methodologies)\, real-world applications and integration with o ther software or initiatives. This collective discussion will be gathered into a white paper\, aspiring for publication.\n\nThis workshop invites pa rticipants from all skill levels\, from beginners to experts\, offering a unique opportunity to explore the world of spectral indices and their appl ication in remote sensing. Join us in harnessing the power of open-source software to explore and understand our planet like never before. DTSTAMP:20260414T134940Z LOCATION:Room 335 SUMMARY:Opening Pandora's Spectral Box: Pioneering the Awesome Spectral Ind ices Suite - David Montero Loaiza\, Francesco Martinuzzi URL:https://talks.staging.osgeo.org/foss4g-europe-2024-workshops/talk/LNA9L 8/ END:VEVENT END:VCALENDAR