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vegetation-segmentation

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Quinn-BXu / wildfire-veg-seg

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Hybrid ML + GIS pipeline for wildfire vegetation risk: U-Net segmentation on Sentinel-2 with Dynamic World labels, fused with line-distance and slope to produce a tunable risk raster. Validated across three external California AOIs.

python deep-learning geospatial pytorch remote-sensing unet wildfire geospatial-analysis earth-engine risk-modeling planetary-computer dynamic-world sentinel-2-data vegetation-segmentation
  • Updated Apr 28, 2026
  • Python

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