Dynamic Landslide Susceptibility Assessment Integrating SBAS-InSAR and Interpretable Machine Learning: A Case Study of the Baihetan Reservoir Area, Southwest China

Landslide susceptibility mapping (LSM) is a fundamental approach for identifying and predicting areas prone to slope failure. However, most conventional LSM methods are based on time-invariant conditioning factors or long-term-averaged predictors and seldom incorporate slope-kinematic information fr...

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Detalhes bibliográficos

Principais autores:	Hongfei Wang, Chuhan Deng, Ziyou Zhang, Zhekai Jiang, Qi Wei, Weijie Yi, Tao Chen, Junwei Ma
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-02-01
coleção:	Remote Sensing
Assuntos:	dynamic susceptibility assessment SBAS-InSAR SHAP Baihetan Reservoir area multisource data
Acesso em linha:	https://www.mdpi.com/2072-4292/18/4/578
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