SPATIALLY AWARE LANDSLIDE SUSCEPTIBILITY PREDICTION USING A GEOGRAPHICAL RANDOM FOREST APPROACH
Landslide susceptibility prediction practices have been increasingly reliant on non-geographically-oriented (i.e., aspatial) machine learning algorithms. While these approaches have exhibited increasing success, they have often faced criticism for their limited consideration of spatial autocorrelati...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2024-03-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-4-W9-2024/363/2024/isprs-archives-XLVIII-4-W9-2024-363-2024.pdf |