Learn Earth-data analysis, by doing.
A from-zero course for people strong in code but newer to the maths and Earth science. Work on real questions from lesson one, run real Python in your browser, and — the part no other course teaches — learn how to know when an answer is real, and when to refuse. Global, with India examples. Free, no login. Built on NASA's open data, plus ESA, NOAA & more.
What do you want to know?
Where do you want to start?
Earth observation by everyday topic
24 missions watching Earth right now
The official NASA tools
NASA's catalog system — every dataset, granule, and collection, searchable via REST API. Every NASA Earth-data tool rides on it.
Pre-rendered satellite imagery as map tiles — 1000+ layers, the same feed that powers NASA Worldview.
The interactive browser for GIBS imagery — pan, zoom, and step through time across the full satellite record.
NASA's open-science dashboard — interactive maps and curated data stories, built on the VEDA stack (the STAC + TiTiler pipeline explained in our Glossary).
Earth observation is open — and overwhelming.
EO Atlas is the friendly map across it: which satellites and datasets exist, where they live, and the real questions they can answer — in plain language, for anyone, not just specialists.
Think Our World in Data, but for Earth-observation satellites and the questions they can answer.
Find it, download it, run it.
- Pick a question that matters to you — real problems, in plain language.
- Get the exact datasets and a ready-to-run notebook, with the honest caveats.
- Download and run it anywhere — change the area, dates, and thresholds for your own case.