awesome-remote-sensing
github.com/attibalazs/awesome-remote-sensing ↗Collection of Remote Sensing Resources
114
GitHub Stars
28
Curated Resources
4
Categories
2 hours ago
Last Refreshed
Introduction & PortalsCloud-Native GeospatialTools & LibrariesDeep Learning & Computer Vision
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me high-performance & rust resources from awesome-remote-sensing"
Installation instructions →What's inside
Tools & Libraries
- awesome-georustHigh-performance & Rust
- cuSpatial / libcuspatial
- GDAL
- gdal (Rust bindings)High-performance & Rust
- gdal-sysHigh-performance & Rust
- geemap
Deep Learning & Computer Vision
- Awesome Remote Sensing Foundation ModelsFoundation Models & Vision-Language
- Clay Foundation Model
- DeepForest
- Foundation Models for Remote Sensing and Earth ObservationFoundation Models & Vision-Language
- segment-geospatial / samgeo
- Solaris
Cloud-Native Geospatial
Introduction & Portals
Showing a sample of 28 resources. View the full list on GitHub →