venkatasivanaga/FuelDeep3D
R package for LiDAR point-cloud processing and deep-learning inference for 3D fuel mapping.
This tool helps foresters, ecologists, and wildfire managers analyze 3D scans of forest areas to understand fuel distribution. It takes raw LiDAR point cloud data (.las or .laz files) and identifies different vegetation structures, outputting a classified map of fuels. This allows for better assessment of fire risk and ecological health.
Use this if you need to process terrestrial LiDAR scans to automatically identify and map different types of vegetation fuels within a forest.
Not ideal if you primarily work with satellite imagery or aerial drone photos, or if you don't use the R programming environment.
Stars
19
Forks
4
Language
R
License
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Category
Last pushed
Mar 04, 2026
Commits (30d)
0
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