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Combination of satellite InSAR, stereo mapping, and LiDAR to improve the understanding of the Chuwangjing landslide in the Three Gorges Reservoir Area.

Authors :
Tu, Kuan
Ye, Shirong
Zou, Jingui
Guo, Jiming
Chen, Hua
He, Yifeng
Source :
Natural Hazards; Oct2024, Vol. 120 Issue 13, p12203-12220, 18p
Publication Year :
2024

Abstract

Since its impoundment in 2003, more than 5,000 landslides have been identified in the Three Gorges Reservoir, and more than 600 slides have apparent activity, which causes significant damage and threats to residents and water infrastructure. Understanding the kinematic behavior and velocity characteristics, mechanisms, trigger factors, and dynamic models of landslides contribute to their instability evaluation and prevention. However, landslide stability analysis is challenging because of complex influencing factors and unclear structural features. The primary objectives of this study were to investigate the kinematic, mechanical, and dynamic characteristics of the Chuwangjing landslide and to identify the trigger factors. We applied multi-resource remote sensing techniques, including satellite Tri-Stereo, unmanned aerial vehicle (UAV) surveys, light detection and ranging (LiDAR) point clouds, and interferometric synthetic aperture radar (InSAR) techniques, to analyze morphological, kinematic, and dynamic features, combined with meteorological and hydrological data. The increased velocity during periods of intense rainfall and prolonged water function, particularly during periodic rapid drawdown periods at high water levels, indicates that deformation is primarily governed by these two factors. The composition of cracks and scrapes detected by LiDAR and satellite Tri-Stereo technology and the deformation distribution on the slope indicated a retrogressive model. We analyzed the landslide's kinematic model and dynamic conditions by considering characteristics such as step-like deformation, influencing factors, and geological composition. Furthermore, by comparing the application effects of multi-remote sensing technology combinations in landslide analysis, this study proved the usefulness of an integrated method for landslide analysis and trending evaluation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0921030X
Volume :
120
Issue :
13
Database :
Complementary Index
Journal :
Natural Hazards
Publication Type :
Academic Journal
Accession number :
180332066
Full Text :
https://doi.org/10.1007/s11069-024-06680-4