2026-08-30 –, 700
A hands-on tour of the Copernicus Data Space Ecosystem — from browsing satellite imagery and land monitoring data to writing custom evalscripts with AI coding assistants and querying the archive programmatically. All on free, open European infrastructure.
The Copernicus Data Space Ecosystem (CDSE) gives free access to Europe's entire Earth observation archive — Sentinel satellites, Copernicus Contributing Missions, and a growing catalogue of derived products like land cover, soil moisture, surface temperature, and snow properties.
This workshop takes participants from first contact to working code in three hours.
We start in the Copernicus Browser — exploring satellite imagery and derived products interactively. Once oriented, we look at what's available: over 100 analysis-ready collections — most of them global.
Then we get to the core: evalscripts — custom JavaScript-like functions that run server-side on CDSE's infrastructure, executing per-pixel across entire satellite scenes. We explain the format, write one by hand, and run it in the browser.
We bring in AI coding assistants. For example, a cumulative temperature threshold that tells farmers when to plant — typed into an AI as a plain-language description, returned as a working evalscript. No remote sensing background needed. Participants try the same: describe a measurement, generate an evalscript, debug and iterate until it works on real data.
Finally, we demonstrate programmatic access using sentinelhub-py. The same evalscripts, now running at scale from a Python notebook.
Participants leave with working evalscripts, a CDSE account, and a clear path from browser to programmatic access. All tools used in the workshop remain available on CDSE's free tier.
- Laptop with modern web browser
- CDSE account (free registration at dataspace.copernicus.eu)
- Access to an AI coding assistant (any code-capable LLM — larger models produce better results, open-weight included)
Familiarity with programming concepts. Python experience helpful but not required. No Earth observation or remote sensing experience needed — the workshop is designed to show how AI bridges the domain knowledge gap.
Link to software source code:
Software engineer at Sinergise (Planet Labs) in Slovenia, working on the Copernicus Data Space Ecosystem. Builds and maintains the data onboarding pipeline that makes Earth observation datasets discoverable and accessible through Copernicus Browser and Sentinel Hub APIs.