An Ensemble Learning Approach for Landslide Susceptibility Assessment Considering Spatial Heterogeneity Partitioning and Feature Selection

Traditional landslide susceptibility assessment (LSA) methods typically adopt a global modeling strategy, which struggles to account for the pronounced spatial heterogeneity arising from variations in topography, geology, and vegetation conditions within a region. Furthermore, model predictive perfo...

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Detalhes bibliográficos

Principais autores:	Xiangchao Jiang, Zhen Yang, Hongbo Mei, Meinan Zheng, Jiajia Yuan, Lei Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-08-01
coleção:	Remote Sensing
Assuntos:	spatial heterogeneity stacking ensemble learning feature selection deep learning landslide susceptibility assessment
Acesso em linha:	https://www.mdpi.com/2072-4292/17/16/2875
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