Enhancing landslide susceptibility modelling through a novel non-landslide sampling method and ensemble learning technique

Enhancing landslide susceptibility modelling through a novel non-landslide sampling method and ensemble learning technique

AbstractIn recent years, several catastrophic landslide events have been observed throughout the globe, threatening to lives and infrastructures. To minimize the impact of landslides, the need of landslide susceptibility map is important. The study aims to extract high-quality non-landslide samples...

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Bibliographic Details
Main Authors: Chao Zhou, Yue Wang, Ying Cao, Ramesh P. Singh, Bayes Ahmed, Mahdi Motagh, Yang Wang, Ling Chen, Guangchao Tan, Shanshan Li
Format: Article
Language:English
Published: Taylor & Francis Group 2024-01-01
Series:Geocarto International
Subjects:
Reservoir landslides
susceptibility mapping
non-landslide sampling
ensemble learning
machine learning
Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2024.2327463

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