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Volume 35 Issue 1
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YU Haiming，ZHANG Yibin，FANG Xianghui，et al. Application of multiple InSAR techniques and SAR data from multi-sources to landslide deformation monitoring: A case study of the Zhixincun landslide in Jilin Province[J]. The Chinese Journal of Geological Hazard and Control，2024，35(1): 155-162. DOI: 10.16031/j.cnki.issn.1003-8035.202209021
Citation: YU Haiming，ZHANG Yibin，FANG Xianghui，et al. Application of multiple InSAR techniques and SAR data from multi-sources to landslide deformation monitoring: A case study of the Zhixincun landslide in Jilin Province[J]. The Chinese Journal of Geological Hazard and Control，2024，35(1): 155-162. DOI: 10.16031/j.cnki.issn.1003-8035.202209021
shu

Application of multiple InSAR techniques and SAR data from multi-sources to landslide deformation monitoring: A case study of the Zhixincun landslide in Jilin Province

  • 1.

    Jilin Geological Environment Monitoring Center （Jilin Geological Disaster Emergency Technical Guidance Center）, Changchun , Jilin　130021, China

  • 2.

    Jilin Provincial Institute of Aerial Surveying and Remote Sensing, Changchun，Jilin 130061,China

  • 3.

    College of Geo-Exploration Science and Technology, Jilin University, Changchun , Jilin　130026, China

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  • Received Date: September 13, 2022
  • Revised Date: November 14, 2022
  • Available Online: March 05, 2023
    Graphical Abstract
    • Abstract

  • In order to realize effective monitoring of Zhixincun landslide, this paper selected 27 sentinel-1A data in 2017, and conducted deformation monitoring of Zhixincun landslide based on small baseline radar interferometry technology (SBAS-InSAR), and analyzed its temporal evolution situation. Using ALOS-2 data from 2016 and 2017, differential radar interferometry (D-InSAR) was used to monitor the characteristics of the landslide variant. SBAS-InSAR monitors the temporal evolution situation of landslide deformation, while D-InSAR mainly monitors the deformation of specific landslide shape and variation. Moreover, the penetration of L-band ALOS-2 data is stronger than that of C-band sentinel-1A data, which can obtain more complete interference information. The monitoring results of both can be cross-verified. Improve the reliability of the results. The SBAS-InSAR monitoring results showed that the slope end of the landslide catchment area in Zhixincun had subsidence during the monitoring period, and the surface subsidence at the landslide end reached 12.47mm from July 5 to July 29, with an average subsidence rate of 2.88mm/a during the monitoring period. Uplift occurred in the threatened residential areas in the valley, with an average cumulative uplift of 19.59mm on December 8 and an average uplift rate of 19.99mm/a during the monitoring period. The D-InSAR results showed that there were five major deformations on the slope of Zhixincun landslide catchment area. The largest deformations with an area of 17 973m2 were located on the west side of the slope, and the most unstable deformations were located on the east side of the slope. The average cumulative shape variable reached 49.9mm during the monitoring period. Both monitoring methods showed that the threat of landslide disaster mainly came from the west slope with poor vegetation cover, and the rainy season was the key period of landslide disaster prevention and control in Zhixincun.

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