Data-Driven Landslide Spatial Prediction and Deformation Monitoring: A Case Study of Shiyan City, China

Data-Driven Landslide Spatial Prediction and Deformation Monitoring: A Case Study of Shiyan City, China

Landslide susceptibility mapping (LSM) is significant for landslide risk assessment. However, there remains no consensus on which method is optimal for LSM. This study implements a dynamic approach to landslide hazard mapping by integrating spatio-temporal probability analysis with time-varying grou...

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Bibliographic Details
Main Authors:	Yifan Sheng, Guangli Xu, Bijing Jin, Chao Zhou, Yuanyao Li, Weitao Chen
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Remote Sensing
Subjects:	landslide landslide susceptibility mapping statistical analysis deep learning remote sensing
Online Access:	https://www.mdpi.com/2072-4292/15/21/5256

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