wri/sentinel-tree-cover

Python Package for Airborne RGB machine learning

[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 tool for developing remote sensing datasets and models.

This repository contains the classification module of the WorldCereal system.

Earth system foundation model data, training, and eval

Software for working with satellite & aerial imagery ML datasets

Techniques for deep learning with satellite & aerial imagery

fAIr - AI Assisted Mapping Tool , https://fair.hotosm.org/

Global Forest Watch: An online, global, near-real time forest monitoring tool