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

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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Bibliographic Details
Main Authors: Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, Subhabrata Das, Santanu Banerjee, Subodh Chandra Pal, Uday Chatterjee, Dipak Bisai, Frank Ewert, Thomas Gaiser
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Landslide
Machine learning
Recursive feature elimination, meta-learning framework
Online Access:https://doi.org/10.1038/s41598-025-87587-3
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https://doi.org/10.1038/s41598-025-87587-3

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