Foundation models for geospatial and remote sensing
15 repos
PyTorch-based foundation models designed for analyzing satellite imagery and geospatial data at scale. The cluster centers on large pre-trained models like Prithvi and TerraMind that leverage transfer learning to handle remote sensing tasks efficiently. These repositories provide implementations, fine-tuning examples, and utilities built on the TerraTorch framework for working with Earth observation datasets and geospatial machine learning applications.
Jupyter Notebook · 1
Pytorch ·483
remote-sensing ·406
foundation-models ·406
Geospatial ·380
terratorch ·322
Vit ·289
endpoints_compatible ·289
Temporal ViT ·289
transformers ·289
Earth Observation ·181
