Improving pixel-based regional landslide susceptibility mapping

Improving pixel-based regional landslide susceptibility mapping

Regional landslide susceptibility mapping (LSM) is essential for risk mitigation. While deep learning algorithms are increasingly used in LSM, their extensive parameters and scarce labels (limited landslide records) pose training challenges. In contrast, classical statistical algorithms, with typica...

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Bibliographic Details
Main Authors: Xin Wei, Paolo Gardoni, Lulu Zhang, Lin Tan, Dongsheng Liu, Chunlan Du, Hai Li
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Geoscience Frontiers
Subjects:
Landslide susceptibility mapping
Logistic regression
Convolutional neural network
Hybrid model
Interpretability
Cross-regional generalization
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987124000069

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http://www.sciencedirect.com/science/article/pii/S1674987124000069

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