Landslide susceptibility assessment based on an interpretable coupled FR-RF model: A case study of Longyan City, Fujian Province, Southeast China

Landslide susceptibility assessment based on an interpretable coupled FR-RF model: A case study of Longyan City, Fujian Province, Southeast China

ABSTRACT: To enhance the prediction accuracy of landslides in in Longyan City, China, this study developed a methodology for geologic hazard susceptibility assessment based on a coupled model composed of a Geographic Information System (GIS) with integrated spatial data, a frequency ratio (FR) model...

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Bibliographic Details
Main Authors: Zong-yue Lu, Gen-yuan Liu, Xi-dong Zhao, Kang Sun, Yan-si Chen, Zhi-hong Song, Kai Xue, Ming-shan Yang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-04-01
Series:China Geology
Subjects:
Machine learning
Landslide susceptibility assessment
Geographic Information System (GIS)
Coupled FR-RF model
Random forest
Interpretability
Online Access:http://www.sciencedirect.com/science/article/pii/S2096519225000692
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