Revealing Driving Factors of Spatiotemporal Deformation in Typical Landslides of the Jinsha River Hulukou–Xiangbiling Segment Using InSAR: A Case Study of Xiaxiaomidi and Chenjiatian Landslides

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Authors: Boyu Zhang, Chenglei Hu, Xinwei Jiang, Jie He, Yuguo Wu, Xu Ma, Wei Xiong, Xiaoyan Lan, Kai Yang
Cited by: 0
References: 25

Abstract

The Hulukou-Xiangbiling section of the Jinsha River is located in a typical high-mountain gorge area characterized by a complex geological environment, rendering it highly susceptible to landslide disasters. To reveal the deformation mechanisms of typical landslides in this region under hydrological effects, this study employed the Small Baseline Subset InSAR (SBAS-InSAR) technique to process multi-track Sentinel-1 SAR images acquired between 2021 and 2024. Long-term deformation time series were extracted for the Xiaxiaomidi and Chenjiatian landslides. On this basis, a systematic multi-scale coupling analysis of the deformation characteristics was conducted using trend-cycle decomposition, Continuous Wavelet Transform (CWT), Cross Wavelet Transform (XWT), and Wavelet Coherence (WTC). The results indicate that although the two landslides are located in the same river section, their deformation mechanisms and hydrological response patterns differ significantly. The deformation of the Xiaomidi landslide is mainly concentrated in the lower part of the slope, exhibiting a characteristic of continuous acceleration. The analysis demonstrates that the evolution of this landslide is primarily controlled by hydrodynamic processes such as toe unloading, water body erosion, and water level fluctuations. In contrast, the Chenjiatian landslide displays a distinct dominant cycle of 365 days, manifesting as a composite mode of long-term creep superimposed with seasonal acceleration. Its deformation shows a high correlation with rainfall (correlation coefficient > 0.9), with a lag effect of approximately 1 to 2 months. This reflects the dominant role of rainfall infiltration and pore pressure transfer in the landslide dynamics.

Fields of Study & Subjects

Landslides and related hazards Synthetic Aperture Radar (SAR) Applications and Techniques Soil erosion and sediment transport

Publication details

Journal / source
Remote Sensing
Volume
18
Issue
5
Pages
784–784
Publication date
4 March 2026
Language
EN