sentinel-hub/eo-grow
Earth observation framework for scaled-up processing in Python
This tool helps Earth Observation (EO) professionals and researchers scale up their analysis of satellite imagery and other spatial data. You input custom analytical workflows and configuration files, and it produces processed EO data products across large geographic areas, whether locally or in the cloud. It's designed for those who need to apply their scientific algorithms to massive datasets without getting bogged down in infrastructure.
No commits in the last 6 months. Available on PyPI.
Use this if you need to run complex Earth observation data processing workflows, such as land cover classification or change detection, over very large areas or long time periods efficiently and reproducibly.
Not ideal if you only need to perform one-off analyses on small, localized datasets or if you prefer graphical user interfaces over command-line tools.
Stars
46
Forks
2
Language
Python
License
MIT
Category
Last pushed
Sep 18, 2025
Commits (30d)
0
Dependencies
18
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