A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
- point-cloud
- photogrammetry
- drone
- uas
Repository Index
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User-friendly, commercial-grade software for processing aerial imagery. ✈️ Download it for free!
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
- artificial-intelligence
- deep-learning
- machine-learning
- segmentation
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
- google-earth-engine
- gis
- remote-sensing
- image-processing
GeoAI: Artificial Intelligence for Geospatial Data
- ai
- data-science
- geoai
- geopython
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
GRASS - free and open-source geospatial processing engine
- grass-gis
- geospatial
- geospatial-analysis
- raster
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
- agriculture
- ai
- geospatial
- geospatial-analytics
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
- 3d-city-model
- 3d-tiles
- geospatial
- gis
framework for large-scale SAR satellite data processing
- radar
- sar
- gdal
- spatialite
Crop Yield Prediction with Deep Learning
Upload your own aerial images, position (rubbersheet) them in a web interface over existing map data, and share via web or composite and export for print.
- hacktoberfest
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