BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-2022//speaker//SGXLDH BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-2022-MNLFUG@talks.staging.osgeo.org DTSTART;TZID=CET:20220824T113000 DTEND;TZID=CET:20220824T120000 DESCRIPTION:The amount of Earth Observation data we have available nowadays is exceeding the capabilities for data processing. Therefore\, a lot of d ata is now made available in the cloud. To make digesting the data easier and more-lightweight\, it is getting more and more popular to store the da ta in so-called “cloud-native” file formats while data processing is a lso moving towards the data\, i.e.\, into the cloud. This way you only nee d to retrieve the actual subset of the data you are actually interested in instead of the full data set\, which can be in the magnitude of gigabytes or even larger. This technology of cloud-native file formats is usually b est used with Browsers\, which is the users’ main interface to the inter net and the cloud. There the main language is JavaScript. Therefore\, this talk will give a high-level introduction about the relevant cloud-native file formats and show whether and how you can make use of these files in c lient-side JavaScript:\n\n- COG: Cloud-Optimized GeoTiff ( https://www.cog eo.org )\n- COPC: Cloud-Optimized Point Clouds ( https://copc.io )\n- Flat geobuff ( https://flatgeobuf.org )\n- GeoParquet ( https://github.com/open geospatial/geoparquet )\n- STAC: SpatioTemporal Asset Catalog ( https://st acspec.org )\n- Zarr ( https://zarr.readthedocs.io )\n\nThis talk will dig into the available open-source libraries and\, if JavaScript implementati ons are available\, show their functionality based on examples. If multipl e options are available\, a high-level comparison will show the main diffe rences in functionality. For COGs for example\, we’ll compare the capabi lities of the popular mapping libraries Leaflet\, OpenLayers and MapLibre GL. DTSTAMP:20260411T095511Z LOCATION:Room Onice SUMMARY:Cloud-Native Geospatial with JavaScript - Daniel J. Dufour\, Matthi as Mohr URL:https://talks.staging.osgeo.org/foss4g-2022/talk/MNLFUG/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-2022-3JQNXL@talks.staging.osgeo.org DTSTART;TZID=CET:20220825T102000 DTEND;TZID=CET:20220825T102500 DESCRIPTION:**[GeoBlaze](https://geoblaze.io)** is a blazing fast raster an alysis engine written in pure JavaScript. With geoblaze\, you can run com putations ranging from basic statistics (min\, max\, mean\, median\, and m ode) to band arithmetic and histogram generation in either a web browser o r a node application.\n\n### presentation\nThis presentation will go over recent updates to GeoBlaze\, including the addition of support for Cloud-O ptimized GeoTIFFs. We will also discuss the roadmap for the next couple y ears.\n\n### use cases\nGeoBlaze can be used wherever vectors and rasters meet. You can use it to calculate the hectares of wheat in a country\, th e change in daily median earth temperature\, and identify wildfires in sat ellite imagery.\n\n### environment\nBecause GeoBlaze is written in pure Ja vaScript it can be run in various environments\, on an EC2 server\, Lambda function\, Cloudflare worker\, or in the browser. It performs calculatio ns using the CPU\, so it is not restricted only to environments where a GP U is available.\n\n### notable dependencies\nGeoBlaze is built on top of t he following open-source projects: [dufour-peyton-intersection](https://gi thub.com/GeoTIFF/dufour-peyton-intersection)\, [georaster](https://github. com/geotiff/georaster)\, [geotiffjs](https://github.com/geotiffjs/geotiff. js)\, and [calc-image-stats](https://github.com/danieljdufour/calc-image- stats).\n\n### sample notebooks:\n- Time Series Analysis with GeoBlaze: Me an Daily Air Temperature for the Month of May: https://observablehq.com/@g eosurge/time-series-analysis-with-geoblaze-mean-daily-air-temperat\n- Iden tifying Carr Wildfire with Landsat 8: https://observablehq.com/@geosurge/i dentifying-carr-wildfire-with-landsat-8\n- Hectares of Rainfed Wheat in Uk raine: https://observablehq.com/@danieljdufour/hectares-of-rainfed-wheat-i n-ukraine DTSTAMP:20260411T095511Z LOCATION:Room 4 SUMMARY:State of GeoBlaze: A Blazing Faster Raster Analysis Engine in Pure JavaScript - Daniel J. Dufour URL:https://talks.staging.osgeo.org/foss4g-2022/talk/3JQNXL/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-2022-M7PHE7@talks.staging.osgeo.org DTSTART;TZID=CET:20220826T144500 DTEND;TZID=CET:20220826T151500 DESCRIPTION:GeoRasterLayer is a LeafletJS Plugin for visualizing GeoTIFFs. This presentation will show live demos of new features and discuss the ro admap for the next couple of years.\n\n### Features\n- Support for nearly all projections\, thanks to [proj4-fully-loaded](https://github.com/daniel jdufour/proj4-fully-loaded) and [epsg.io](https://epsg.io/)\n- Super faste r rendering thanks to a simple nearest neighbor interpolation\n- Use of we b workers means seamless integration that doesn't block main thread\n- Loa ds large geotiffs greater than a hundred megabytes\n- Supports custom rend ering including custom colors\, directional arrows\, and context drawing\n - Doesn't depend on WebGL\n\n### Videos\n- [Edge Compute: Cool Stuff You C an Do With COGs in the Browser](https://www.youtube.com/watch?v=XTkNhGpfmB 8&t=4190s)\n- [2019 - Algorithm Walk-through: How to Visualize a Large Geo TIFF on Your Web Map](https://www.youtube.com/watch?v=K47JvCL99w0)\n\n### Examples\n- Loading the georaster-layer-for-leaflet library along with Geo Blaze via a script tag. You can view the source code [here](https://github .com/GeoTIFF/georaster-layer-for-leaflet-example/blob/master/examples/load -via-script-tag-with-geoblaze.html) and the live demo [here](https://geoti ff.github.io/georaster-layer-for-leaflet-example/examples/load-via-script- tag-with-geoblaze.html).\n- Combining two Cloud Optimized GeoTIFFs togethe r to create an NDVI map. You can view the source code [here](https://githu b.com/GeoTIFF/georaster-layer-for-leaflet-example/blob/master/examples/ndv i.html) and the live demo [here](https://geotiff.github.io/georaster-layer -for-leaflet-example/examples/ndvi.html).\n- Identifying Wildfires from a Landsat 8 Scene. You can view the source code [here](https://github.com/Ge oTIFF/georaster-layer-for-leaflet-example/blob/master/examples/identifying -wildfires-with-landsat.html) and the live demo [here](https://geotiff.git hub.io/georaster-layer-for-leaflet-example/examples/identifying-wildfires- with-landsat.html).\n- Visualizing Population COG. You can view the source code [here](https://github.com/GeoTIFF/georaster-layer-for-leaflet-exampl e/blob/master/examples/population.html) and the live demo [here](https://g eotiff.github.io/georaster-layer-for-leaflet-example/examples/population.h tml).\n- Display a COG that represents only one band of a Landsat scene. Y ou can view the source code [here](https://github.com/GeoTIFF/georaster-la yer-for-leaflet-example/blob/master/examples/cog-with-only-one-band.html) and the live demo [here](https://geotiff.github.io/georaster-layer-for-lea flet-example/examples/cog-with-only-one-band.html).\n- Display a COG with YCbCr Photometric Interpretation. You can view the source code [here](htt ps://github.com/GeoTIFF/georaster-layer-for-leaflet-example/blob/master/ex amples/ycbcr.html) and the live demo [here](https://geotiff.github.io/geor aster-layer-for-leaflet-example/examples/ycbcr.html). DTSTAMP:20260411T095511Z LOCATION:Room Onice SUMMARY:State of GeoRasterLayer: A LeafletJS Plugin for Visualizing GeoTIFF s (and soon other rasters) - Daniel J. Dufour URL:https://talks.staging.osgeo.org/foss4g-2022/talk/M7PHE7/ END:VEVENT END:VCALENDAR