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基于MSBAS技术的金沙江上游色拉滑坡形变分析
引用本文:熊国华,杨成生,朱赛楠,董继红,张勤.基于MSBAS技术的金沙江上游色拉滑坡形变分析[J].中国地质灾害与防治学报,2021,0(5):1-9.
作者姓名:熊国华  杨成生  朱赛楠  董继红  张勤
作者单位:1.长安大学地质工程与测绘学院,陕西 西安 710054
基金项目:中国地质调查局地质调查项目(DD20190637);国家自然科学基金项目(41731066);国家重点研发计划项目(2018YFC1504805)
摘    要:金沙江缝合带是滑坡灾害的高发区,且具有较大的堵江威胁。以堵江风险较高的色拉滑坡为研究对象,选取高时间分辨率的升降轨Sentinel-1A/B数据,利用MSBAS InSAR技术对该滑坡展开地表形变监测研究。文章在利用不同轨道的Sentinel-1A/B获取色拉滑坡2018—2020年间的二维动态形变时间序列的基础上,分析了典型特征点形变时间序列特征。结果表明,在2018年1月—2020年4月色拉滑坡东西向累积形变最高达到165 mm,垂直向累积形变达?102 mm,滑坡体形变加速的时间点被成功地捕获。最后,分析了该滑坡的形变趋势,通过现场调查结果验证了所获得滑坡监测结果的准确性。

关 键 词:多维短基线集技术    相位堆叠InSAR技术    色拉滑坡    滑坡识别    二维分解
收稿时间:2021-05-13

Deformation analysis of Sela landslide in the upper reaches of Jinsha River based on MSBAS technology
Institution:1.College of Geology Engineering and Geomatics, Chang'an University, Xi'an Shaanxi 710054, China2.China Institute of Geo-Environment Monitoring (Guide Center of Prevention Technology for Geo-hazards, MNR), Beijing 100081, China
Abstract:The Jinshajiang suture zone is a high-incidence area of landslide disasters and has a greater threat of river jamming. In this paper, the Sela landslide with high risk of blocking rivers was taken as the research object, and the Sentinel-1A/B images were selected and processed by MSBAS InSAR technology to obtain the surface deformation of the landslide. We used the Sentinel-1A/B images from different orbits to obtain the two-dimensional dynamic deformation of the Sela landslide from 2018 to 2020. Deformation time series characteristics of typical points are analyzed. The results show that the cumulative deformation in the east-west direction of Sala landslide reached a maximum of 165 mm, and the cumulative deformation in the vertical direction reached ?102 mm from January 2018 to April 2020. We studied the deformation trend of the landslide, and the accuracy of the landslide monitoring results was verified by the field survey results.
Keywords:
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