Techniques for deep learning with satellite & aerial imagery
- deep-learning
- deep-neural-networks
- satellite-imagery
- pytorch
Repository Index
47,133 repositories indexed
1–18 of 18 · 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
An open source library and framework for deep learning on satellite and aerial imagery.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
A 1:1 scale streamed Earth for BeamNG.drive: real elevation and satellite imagery, floating origin, LOD streaming from a companion server
Train a deep learning net with OpenStreetMap features and satellite imagery.
DroneBridge is a system based on the WifiBroadcast approach. A bidirectional digital radio link between two endpoints is established using standard WiFi hardware and a custom protocol. DroneBridge is optimized for use in UAV applications and is a complete system. It is intended be a real alternative to other similar systems, such as DJI Lightbridge or OcuSync.
- msp
- telemetry
- wifibroadcast
- dronebridge
Affordable Digital HD Video Transmission made easy!
- wifibroadcast
- multirotor-uavs
- drones
- downlink
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
- 3d-city-model
- 3d-tiles
- geospatial
- gis
Display internet satellite imagery in RViz
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
Command line tools for processing and uploading Mapillary imagery
A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.
Automated mapping of pedestrian networks from aerial imagery tiles
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
- source-energy-balance
- canopy
- soil
- radiometric-temperatures
A dataset of 2D imagery, 3D point cloud data, and 3D vehicle bounding box labels all generated using the Grand Theft Auto 5 game engine.
🛰 An index of aerial and satellite imagery useful for mapping
- imagery
- satellite-imagery
- aerial-imagery