eo-learn
A Python framework for processing spatio-temporal satellite imagery and extracting features for machine learning applications.
What is eo-learn?
eo-learn is an open-source Python framework for processing and analyzing Earth observation satellite imagery. It provides tools to handle spatio-temporal data, extract features, and prepare datasets for machine learning applications, addressing the challenge of automatically deriving insights from large volumes of satellite data.
Remote sensing scientists, geospatial data engineers, and machine learning practitioners working with satellite imagery for applications like land cover monitoring, disaster control, and environmental analysis.
Developers choose eo-learn for its modular, reusable task system that simplifies complex EO workflows, its seamless integration with the Python data science stack, and its active community that shares and improves processing components.
Overview
Earth observation processing framework for machine learning in Python
Use Cases
Best For
- Automating land cover classification from satellite time-series data
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