BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.osgeo.org//foss4g-europe-2026//speaker//9JWZHX BEGIN:VTIMEZONE TZID:EET BEGIN:STANDARD DTSTART:20001029T050000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:EET TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:EEST TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-europe-2026-QD9HHC@talks.osgeo.org DTSTART;TZID=EET:20260701T113000 DTEND;TZID=EET:20260701T120000 DESCRIPTION:How do you visualize decades of high-resolution national climat e projection data — wind speed\, solar radiation\, temperature\, degree days — directly in a web browser\, with smooth rendering and precise dat a picking\, all built on open source tools?\n\nAt Camptocamp\, we tackled this challenge during the Météo France hackathon in Toulouse\, where tea ms were given access to beta climate projection datasets from Météo Fran ce and the DINUM. Our goal: build a web application helping the renewable energy industry assess regional potential under different climate warming scenarios\, aligned with the French government's TRACC adaptation framewor k (+2°C\, +2.7°C\, +4°C milestones).\n\nThe data pipeline — built wit h Python\, GDAL\, Xarray\, and RioXarray — transforms NetCDF climate mod el outputs (CNRM-ALADIN64E1\, ~12 km resolution\, 2014–2100) into monthl y raster tilesets. The challenge then becomes how to render these rasters with maximum expressiveness on a map\, going well beyond what standard ras ter layer support in MapLibre GL JS offers out of the box.\n\nThis is wher e our open source library maplibre-gl-shader-layer comes in. Born from rea l production needs in meteorological data visualization\, this TypeScript/ WebGL library provides the building blocks to create fully custom tiled la yers for MapLibre GL JS\, powered by Three.js under the hood. Developers c an write their own GLSL fragment shaders and hook into per-tile uniform up dates — giving full control over color mapping\, encoding\, blending\, a nd animation.\n\nThe library's flagship component\, MultiChannelSeriesTile dLayer\, is designed specifically for scientific data: it decodes multi-ch annel PNG or WebP tiles where RGB channels encode up to 24-bit precision f loat values (similar to Mapbox Terrain-RGB)\, supports time/depth/scenario series interpolation\, and applies configurable colormaps from a built-in library (viridis\, inferno\, turbo\, and custom descriptions). Nodata han dling via the alpha channel and support for PMTiles archives round out the feature set for production use.\n\nWe will walk through the full open sou rce stack — from raw NetCDF to interactive browser map — and show how maplibre-gl-shader-layer makes it straightforward to build expressive\, pe rformant meteorological visualizations without sacrificing flexibility. De mos will include climate indicator overlays\, a warming scenario slider\, and seasonal navigation — all rendered in WebGL.\n\nThe library is MIT-l icensed\, available on npm\, and actively maintained by the Camptocamp geo blocks team.\n\nRepository: https://github.com/geoblocks/maplibre-gl-shade r-layer DTSTAMP:20260605T023306Z LOCATION:Auditorium SUMMARY:Rendering National Climate Data in the Browser: WebGL Custom Shader s with MapLibre GL JS - Florent Gravin URL:https://talks.osgeo.org/foss4g-europe-2026/talk/QD9HHC/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-europe-2026-JM9A8T@talks.osgeo.org DTSTART;TZID=EET:20260701T153000 DTEND;TZID=EET:20260701T160000 DESCRIPTION:Large Language Models are reshaping how we interact with data — but most implementations ignore geography entirely. At Camptocamp\, we 've spent the last two years embedding LLMs deep into open source geospati al workflows\, and this talk is a frank account of what works\, what doesn 't\, and where the field is heading.\n\n** GeoNetwork as a GeoAI laborator y\n\nGeoNetwork\, the OSGeo flagship metadata catalog\, is where much of o ur work has been grounded. We'll walk through the integration of semantic search — moving beyond keyword matching to meaning-based retrieval power ed by embedding models — and the development of a conversational assista nt that lets users query geographic datasets in plain language. We'll also share our ongoing work on exposing GeoNetwork capabilities through the Mo del Context Protocol (MCP)\, enabling LLM agents to interact directly with catalog APIs.\n\n*** Agentic geospatial: bleeding edge techniques\n\nBeyo nd search and chat\, we'll dive into what agentic AI looks like when appli ed to geospatial workflows: function calling to orchestrate GIS operations (buffer\, intersection\, spatial queries against OpenStreetMap)\, LLM-dri ven QGIS automation via MCP\, and the architectural patterns — RAG pipel ines\, intent extraction\, hybrid search — that make these systems relia ble enough to put in front of real users.\n\n** The French National Digita l Twin: an open source GeoAI at scale\n\nWe'll close with our role leading the LLM workstream of the French National Digital Twin project (France 20 30)\, a consortium bringing together IGN\, INRIA\, Cerema and others. This initiative is tackling GeoAI at territorial scale — and doing it entire ly in the open. We'll share early architectural decisions\, the challenges of grounding LLMs in authoritative geographic knowledge bases\, and why o pen source is not just a preference here but a sovereignty requirement.\n\ n** Key takeaways for the FOSS4G community\n\nAttendees will leave with a clear picture of the current state of open source GeoLLM tooling\, practic al patterns for integrating LLMs into OSGeo-stack applications\, and an ho nest assessment of the remaining challenges — from data quality to model size optimization — that the community needs to solve together. DTSTAMP:20260605T023306Z LOCATION:A12 SUMMARY:GeoLLM in the Wild: Open Source AI Meets Geospatial - Florent Gravi n URL:https://talks.osgeo.org/foss4g-europe-2026/talk/JM9A8T/ END:VEVENT END:VCALENDAR