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Assessing hazards of ancient landslide clusters in the Lancang river basin using multi-temporal remote sensing: A case study of Chaya county

delete2025-01-03
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PRE
AI
X
Xude Li
J
Jiajia Zhang *
T
Tian You
Y
Yu Zhao
DOI:10.1177/03091333241310768delete
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Abstract

Abstract

En 中文
The reactivation of ancient landslides typically exhibits large scales, significant destructive power, and adverse consequences. This has long been a pressing issue for the planning and construction of major projects, and the safety of urban areas. Using high-resolution remote sensing images, SBAS-InSAR, unmanned aerial vehicle (UAV) surveys, and rainfall data, we delved into the evolution, ongoing deformation, and damage of ancient landslide clusters in the Lancang River Basin on the Tibetan Plateau. Two high-precision remote sensing images from 1965 and 2019 were used to analyze the spatial changes of this landslide cluster. The examination of 292-scene radar images and rainfall data from 2018 to 2022 illuminated the spatio-temporal deformation characteristics and trends of the landslide clusters. Our fieldwork indicated that areas with deformation rates exceeding 20 mm/yr, as detected using SBAS-InSAR, have experienced various degrees of collapse and slippage in recent times. Particularly alarming is that areas with deformation rates of up to 68 mm/yr are on the brink of obstructing the river. Rainfall, river slope cutting, and human engineering activities constitute the factors driving continuous deformation failure, resulting in different slip patterns of the landslide cluster. We numerically simulated the hazard potential in susceptible areas using the Massflow software. The results suggest that areas subjected to slippage will pose significant risks to structures and a possibility of river blockage.
Keywords:
Landslide
deformation
risk
UAV
remote sensing

Journal

P
Progress in Physical Geography and Earth and Environment
IF:
3.6
Papers:
957
Citations:
4.5K

Organization

C
Chengdu Technological University
Scholars:
694
Papers: 505
Citations: 343
C
China Geological Survey
Scholars:
8.0K
Papers: 5.6K
Citations: 3.3K
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