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Monitoring post-failure event and their evolution over time is necessary to assess the influencing and triggering factors. The current study focuses on assessing terrain displacements in the Liangshui Village in the city of Zhaotong, Zhenxiong County, Yunnan Province, China, which occurred on Jan 22, 2024; this landslide was dreadful as 44 people from 18 households were reported to be buried in the landslide. In this study, we use Copernicus Sentinel-1A data and open-source technologies to update subsidence data for Liangshui Village and the adjacent areas for the first time. The Stanford Method for Persistent Scatterers (StaMPS) and the Sentinel Application Platform (SNAP) of the European Space Agency (ESA) were used to create a completely automated processing workflow for land deformation monitoring in order to accomplish this goal. This automated processing chain has analyzed over 47 Sentinel-1A images in ascending orbits, primarily depicting Line-of-Sight (LOS) ground deformation rates. Performing post-event Persistent Scatterers interferometric (PSI) analysis on a stack of 47 Sentinel-1A images enabled the examination of precursory deformations associated with the landslides. The results suggest that the study region experienced a Line of Sight (LOS) displacement of 90 mm, indicating terrain instability. Furthermore, the landslides in January 2024 were triggered due to steep terrain, and topography provided the conditions necessary for the landslide to occur, while the layered and fractured rock structure was the “main internal and objective factor” leading to the landslide.

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Post-Event Monitoring of 2024 Catastrophic Liangshui Landslide (China) Using Time Series of Sentinel-1 Imagery with Persistent Scattered Interferometry

  • 会议论文

  • 发表日期：

    2026年

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  • Diwakar Khadka,
  • Atma Sharma,
  • Jie Zhang,
  • Shuangyi Wu

摘要

Monitoring post-failure event and their evolution over time is necessary to assess the influencing and triggering factors. The current study focuses on assessing terrain displacements in the Liangshui Village in the city of Zhaotong, Zhenxiong County, Yunnan Province, China, which occurred on Jan 22, 2024; this landslide was dreadful as 44 people from 18 households were reported to be buried in the landslide. In this study, we use Copernicus Sentinel-1A data and open-source technologies to update subsidence data for Liangshui Village and the adjacent areas for the first time. The Stanford Method for Persistent Scatterers (StaMPS) and the Sentinel Application Platform (SNAP) of the European Space Agency (ESA) were used to create a completely automated processing workflow for land deformation monitoring in order to accomplish this goal. This automated processing chain has analyzed over 47 Sentinel-1A images in ascending orbits, primarily depicting Line-of-Sight (LOS) ground deformation rates. Performing post-event Persistent Scatterers interferometric (PSI) analysis on a stack of 47 Sentinel-1A images enabled the examination of precursory deformations associated with the landslides. The results suggest that the study region experienced a Line of Sight (LOS) displacement of 90 mm, indicating terrain instability. Furthermore, the landslides in January 2024 were triggered due to steep terrain, and topography provided the conditions necessary for the landslide to occur, while the layered and fractured rock structure was the “main internal and objective factor” leading to the landslide.