Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework

Abstract Landslides pose significant threats to ecosystems, lives, and economies, particularly in the geologically fragile Sub-Himalayan region of West Bengal, India. This study enhances landslide susceptibility prediction by developing an ensemble framework integrating Recursive Feature Elimination...

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Detalhes bibliográficos

Principais autores:	Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, Subhabrata Das, Santanu Banerjee, Subodh Chandra Pal, Uday Chatterjee, Dipak Bisai, Frank Ewert, Thomas Gaiser
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-02-01
coleção:	Scientific Reports
Assuntos:	Landslide Machine learning Recursive feature elimination, meta-learning framework
Acesso em linha:	https://doi.org/10.1038/s41598-025-87587-3
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