e-sensing/sits

Earth observation processing framework for machine learning in Python

Open Data Cube analyses continental scale Earth Observation data through time

[CVPR26] TESSERA is a foundation model that can process time-series satellite imagery for applications such as land classification and canopy height prediction. Developed at the University of Cambridge, it enables efficient extraction of temporal patterns from Earth observation

A python package that extends Google Earth Engine.

A collection of tools to work with Google Earth Engine Python API

interactive notebooks from Planet Engineering

Techniques for deep learning with satellite & aerial imagery

Download and process satellite imagery in Python using Sentinel Hub services.

Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray