期刊论文详细信息
Remote Sensing
Pre-Event Deformation and Failure Mechanism Analysis of the Pusa Landslide, China with Multi-Sensor SAR Imagery
Yuanyuan Liu1  Bin Li2  Chengsheng Yang3  Ya Kang3  Liquan Chen3  Chaoying Zhao3  Hengyi Chen3  Aiguo Xing4 
[1] Faculty of Geomatics, East China University of Technology, Nanchang 330013, China;Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China;School of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China;State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;
关键词: interferometric synthetic aperture radar (insar);    pusa landslide;    deformation;    time series;    failure mechanism;   
DOI  :  10.3390/rs12050856
来源: DOAJ
【 摘 要 】

The Pusa landslide, in Guizhou, China, occurred on 28 August 2017, caused 26 deaths with 9 missing. However, few studies about the pre-event surface deformation are provided because of the complex landslide formation and failure mechanism. To retrieve the precursory signal of this landslide, we recovered pre-event deformation with multi-sensor synthetic aperture radar (SAR) imagery. First, we delineated the boundary and source area of the Pusa landslide based on the coherence and SAR intensity maps. Second, we detected the line-of-sight (LOS) deformation rate and time series before the Pusa landslide with ALOS/PALSAR-2 and Sentinel-1A/B SAR imagery data, where we found that the onset of the deformation is four months before landslide event. Finally, we conceptualized the failure mechanism of the Pusa landslide as the joint effects of rainfall and mining activity. This research provides new insights into the failure mechanism and early warning of rock avalanches.

【 授权许可】

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