Techniques for deep learning with satellite & aerial imagery
- deep-learning
- deep-neural-networks
- satellite-imagery
- pytorch
Repository Index
47,133 repositories indexed
1–9 of 9 · Most stars
An agent skill that finds where a photo was taken — OpenStreetMap geometry, elevation skylines, satellite imagery and street view — and shows its work. Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode and GitHub Copilot.
- claude-code
- geoguessr
- geolocation
- osint
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
- 3d-city-model
- 3d-tiles
- geospatial
- gis
curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data
Live weather satellite imagery for your desktop background
- space
- satellite-imagery
- desktop-background
- electron
A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
- source-energy-balance
- canopy
- soil
- radiometric-temperatures
🛰 An index of aerial and satellite imagery useful for mapping
- imagery
- satellite-imagery
- aerial-imagery