iarai/Landslide4Sense-2022
Data description and baseline code for LandSlide4Sense 2022 competition
Combines Sentinel-2 multispectral imagery with ALOS PALSAR slope and elevation data (14 bands total) at ~10m resolution for pixel-wise landslide classification across globally distributed regions. The baseline implements U-Net semantic segmentation in PyTorch with H5 data loading, targeting binary landslide/non-landslide detection evaluated via F1 score on 128×128 image patches from 3,799 training samples.
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Language
Python
License
MIT
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Last pushed
Jun 21, 2023
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