Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors

Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors

To perform landslide susceptibility prediction (LSP), it is important to select appropriate mapping unit and landslide-related conditioning factors. The efficient and automatic multi-scale segmentation (MSS) method proposed by the authors promotes the application of slope units. However, LSP modelin...

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Bibliographic Details
Main Authors: Zhilu Chang, Filippo Catani, Faming Huang, Gengzhe Liu, Sansar Raj Meena, Jinsong Huang, Chuangbing Zhou
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Landslide susceptibility prediction (LSP)
Slope unit
Multi-scale segmentation method (MSS)
Heterogeneity of conditioning factors
Machine learning models
Online Access:http://www.sciencedirect.com/science/article/pii/S1674775522001615

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http://www.sciencedirect.com/science/article/pii/S1674775522001615

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