云南昭通地区滑坡隐患InSAR广域识别与监测  

InSAR Wide-area Identification and Monitoring of Landslide Hazards in Zhaotong Area of Yunnan,China

作　　者：张雪 魏云杰 杨成生[1] 刘勇[3] 杨佳艺 ZHANG Xue;WEI Yun-jie;YANG Cheng-sheng;LIU Yong;YANG Jia-yi(School of Geological Engineering and Geomatics,Chang'an University,Xi'an 710054,Shaanxi,China;China Institute of Geo-environment Monitoring(Guide Center of Prevention Technology for Geo-hazards,MNR),Beijing 100081,China;School of Highway,Chang'an University,Xi'an 710064,Shaanxi,China)

机构地区：[1]长安大学地质工程与测绘学院,陕西西安710054 [2]中国地质环境监测院(自然资源部地质灾害技术指导中心),北京100081 [3]长安大学公路学院,陕西西安710064

出　　处：《地球科学与环境学报》2025年第1期128-142,共15页Journal of Earth Sciences and Environment

基　　金：云南省科技计划项目(202403AA080001);陕西省教育厅服务地方专项计划项目(23JE001);长安大学中央高校基本科研业务费专项资金资助项目(300102262206)。

摘　　要：云南昭通地区位于我国西南山区,受自然条件和人类活动影响,成为我国地质灾害多发地区之一。针对该地区开展滑坡隐患识别与监测对防灾减灾工作具有重要意义。采用R-index方法,分析了升降轨Sentinel-1A数据在该区域进行滑坡隐患识别的适宜性,为后续滑坡识别提供参考;基于干涉图堆叠技术在研究区内共圈定出80处潜在滑坡隐患点,同时选取吉那古滑坡为典型灾害体,在获取升降轨Sentinel-1A数据雷达视线(LOS)向形变速率和形变时间序列的基础上,采用MSBAS InSAR技术获取吉那古滑坡2020~2021年的二维形变结果,并分析其二维时空形变特征。结果表明:2020年1月至2021年12月吉那古滑坡东西向累积形变最高达106.2 mm,垂直向累积形变达-100.3 mm。Located in the southwestern mountainous areas of China,Zhaotong area is highly susceptible to geological disasters due to the combined influences of natural conditions and human activities.The identification and monitoring of landslide hazards in this region are crucial for effective disaster prevention and mitigation efforts.The R-index method was employed to assess the suitability of Sentinel-1A track lifting and lowering data for identifying landslide hazards in the area,aiming to contribute valuable insights for subsequent landslide detection;by utilizing interferometric stacking technology,a total of 80 potential landslide hazard points were distinguished within the study area;furthermore,Jinagu landslide was singled out as a representative disaster body for in-depth analysis;leveraging the LOS deformation rate and deformation time series derived from Sentinel-1A data from both ascending and descending orbits,MSBAS InSAR technology was employed to generate two-dimensional deformation results for Jinagu landslide from 2020 to 2021;subsequent analysis focused on unraveling the spatiotemporal deformation characteristics of the landslide.The results show that from January 2020 to December 2021,Jinagu landslide exhibits a cumulative deformation of 106.2 mm in the EW-direction and-100.3 mm in the vertical direction.

关 键 词：INSAR技术 R-index方法 干涉图堆叠技术 多维短基线集技术 适宜性 滑坡 隐患识别 分布规律 

分 类 号：P237[天文地球—摄影测量与遥感] P694[天文地球—测绘科学与技术]