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Evolutionary analysis of slope direction deformation in the Gaojiawan landslide based on time-series InSAR and Kalman filtering

Author

Listed:
  • Jingchuan Yao
  • Runqing Zhan
  • Jiliang Guo
  • Wei Wang
  • Muce Yuan
  • Guangyu Li
  • Bo Zhang
  • Rui Zhang

Abstract

The existing landslide monitoring methods are unable to accurately reflect the true deformation of the landslide body, and the use of a single SAR satellite, affected by its revisit cycle, still suffers from the limitation of insufficient temporal resolution for landslide monitoring. Therefore, this paper proposes a method for the dynamic reconstruction and evolutionary characteristic analysis of the Gaojiawan landslide’s along-slope deformation based on ascending and descending orbit time-series InSAR observations using Kalman filtering. Initially, the method employs a gridded selection approach during the InSAR time-series processing, filtering coherent points based on the standard deviation of residual phases, thereby ensuring the density and quality of the extracted coherent points. Subsequently, the combination of ascending and descending orbit data converts the landslide’s line of sight (LOS) deformation into along-slope deformation. Finally, the Kalman filtering method is utilized for dynamic reconstruction of the landslide deformation, and an analysis of the evolutionary characteristics of the landslide is conducted to explore its impact on transportation infrastructure, thereby significantly improving the temporal resolution and accuracy of landslide monitoring. To verify the feasibility of the algorithm, this paper selects the Gaojiawan landslide as a typical study area. Based on the ascending and descending Sentinel-1 SAR data from 2016 to 2023, it extracts the temporal series of slope body deformation to further explore its impact on the internal transportation infrastructure of the slope body. Experimental results show that the combination of ascending and descending SAR data and Kalman filtering has improved the time resolution of landslide monitoring to six days. It was found that two significant slips occurred in the slope body in January 2016 and June 2021, while other periods were relatively stable. Further discussion and analysis reveal that there is a difference in the slip deformation rate between the upper and lower parts of the slope body, and the shear stress caused by dislocation deformation.

Suggested Citation

  • Jingchuan Yao & Runqing Zhan & Jiliang Guo & Wei Wang & Muce Yuan & Guangyu Li & Bo Zhang & Rui Zhang, 2024. "Evolutionary analysis of slope direction deformation in the Gaojiawan landslide based on time-series InSAR and Kalman filtering," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-24, December.
  • Handle: RePEc:plo:pone00:0316100
    DOI: 10.1371/journal.pone.0316100
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    References listed on IDEAS

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    1. Haibo Tian & Pinglang Kou & Qiang Xu & Yuxiang Tao & Zhao Jin & Ying Xia & Jiangfan Feng & Rui Liu & Yongcheng Gou, 2024. "Analysis of landslide deformation in eastern Qinghai Province, Northwest China, using SBAS-InSAR," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(6), pages 5763-5784, April.
    2. Yunjie Yang & Rui Zhang & Tianyu Wang & Anmengyun Liu & Yi He & Jichao Lv & Xu He & Wenfei Mao & Wei Xiang & Bo Zhang, 2024. "An information quantity and machine learning integrated model for landslide susceptibility mapping in Jiuzhaigou, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(11), pages 10185-10217, September.
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