This is an executable book of tutorials for AerEO, a modular satellite data discovery and extraction framework.
By running the Jupyter Book, you will learn the core concepts and typical workflows using AerEO with examples from real datasets.
How to use this book¶
Read online: browse the rendered chapters below.
Run in Colab: every notebook opens in Google Colab from the examples table in the AerEO repo.
Run locally: clone this repo, install the dependencies, and run the notebooks with JupyterLab.
Notebooks¶
The tutorials cover Sentinel-2, Sentinel-1 SAR, VIIRS, Sentinel-3 OLCI, GeoTessera, GOES-19 ABI, CHIRPS precipitation, multi-constellation workflows, ML dataset generation, and custom plugin development.
Authentication¶
Notebooks that use NASA data (VIIRS, Sentinel-3, etc.) require earthaccess credentials. Configure a ~/.netrc file before running those examples — see the earthaccess authentication guide.