Bulletin of Surveying and Mapping ›› 2023, Vol. 0 ›› Issue (5): 9-15.doi: 10.13474/j.cnki.11-2246.2023.0128

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Early identification of ridge-top landslide hazards in Jiuzhaigou area using InSAR-LiDAR method

WANG Zhidong1,2, TANG Wei2, MA Zhigang1, LI Yuchen3, YANG Benyong2, LI Weiqing2, LI Yongxin2   

  1. 1. Sichuan Academy of Territorial Space Ecorestoration and Geohazard Prevention, Chengdu 610036, China;
    2. The Third Geoinformation Mapping Institute of Ministry of Natural Resources, Chengdu 610100, China;
    3. Tianfu College, Southwestern University of Finance and Economics, Chengdu 610066, China
  • Received:2022-07-14 Revised:2023-03-20 Published:2023-05-31

Abstract: In the area of about 4000 km2 in Jiuzhaigou area, synthetic aperture radar interferometry (InSAR) and light detection and ranging (LiDAR) are applied to identification of landslide hazards. A total of 344 landslide hazards are identified, including 114 ridge-top landslide hazards, with a deformation rate of -149~120 mm/a during December 2017 and October 2020.Through comprehensive remote sensing and field investigation, it is concluded that most of ridge-top landslide tend to develop in the NE, SE-faced slope with a gradient of 35°~45°. The most elevation difference of ridge-top landslide range from 100 m to 350 m. The slope material is mostly composed of quaternary (Q) unconsolidated deposit with geomorphology of high mountains and valleys eroded by tectonics. Finally, Taking the Zhongchagou ridge-top landslide as an example, the temporal and spatial analysis of the ridge-top landslide based on InSAR-LiDAR method is carried out, and the deformation, shape and situation characteristics of the ridge-top landslide are obtained. This study verified the accuracy and reliability of the comprehensive use of InSAR and LiDAR technology to identify and analyze ridge-top landslide hazards, which can provide scientific basis and reference for disaster prevention and mitigation of landslide hazards.

Key words: Jiuzhaigou, ridge-top landslide hazards, early identification, InSAR, LiDAR, developmental characteristics

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