allenai/olmoearth_pretrain

TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.

Earth Observation Data Access Gateway

Official release of GeoGPT models.

Examples of using the Planetary Computer

[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

Tutorials and content created by Earth Engine users, for Earth Engine users

[Active Development] Earth Observation API (Metadata, Raster and Vector services)

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

A repository of custom scripts to be used with Sentinel Hub