Learn to use NASA's Earth data.
Put NASA's petabytes of Earth-observation data (plus ESA, NOAA and more) to work on your own question. Find the right dataset by its plain-English name, then run real Python and ready-made recipes right in your browser, with no install and no login. And the part most courses skip: how to know when an answer is real, and when to refuse.
From zero, for strong coders newer to the maths and Earth science. Global, with India examples.
What do you want to know?
Browse the catalog by sight.
Ranked by NASA CMR's usage_score (June 2026). Illustrations of each dataset — not real satellite data.
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.