Serverless high-resolution aerial imagery map tiles from Cloud-Optimized GeoTIFFs for the U.S.
Generate high-resolution tiled imagery from USDA NAIP data
A Streamlit app that lets you fetch free 0.6-meter aerial imagery of any location in the continental United States and have a real-time conversation about what's in it .
A small Python library for downloading NAIP aerial imagery for arbitrary polygons via Google Earth Engine. Hand it a GeoJSON, Shapefile, or shapely geometry; get back GeoTIFFs clipped to your shapes.
The Python module for the Georgia Canopy Analysis 2009 project sponsored by the Georgia Forestry Commission
UPC Artificial Intelligence with Deep Learning. Wildfire prediction using Semantic Segmentation on satellite imagery
Add out-of-the-box MrSID (.sid) support to GDAL without the pain of compiling the entire GDAL source code from scratch.
Python scripted workflow for processing ALS and NAIP imagery
Deep learning pipeline for land cover classification in the City of Phoenix.
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