基于Stacking-InSAR的澜沧江营盘镇—苗尾段滑坡隐患识别  

Identification of Potential Landslide in Yingpan Town-Miaowei Section of Lancang River by Stacking-InSAR

作　　者：张春宇 郭际明[1] 王鼎 许毅 潘尚毅 乔世雄 ZHANG Chunyu;GUO Jiming;WANG Ding;XU Yi;PAN Shangyi;QIAO Shixiong(School of Geodesy and Geomatics,Wuhan University,Wuhan 430072,China;Sinohydro Engineering Bureau 4 Co.,Ltd.,Xining 810007,China)

机构地区：[1]武汉大学测绘学院,湖北武汉430072 [2]中国水利水电第四工程局有限公司,青海西宁810007

出　　处：《地理空间信息》2023年第9期93-97,共5页Geospatial Information

基　　金：中国水利水电第四工程局有限公司科技资助项目(KJ-2018-019)。

摘　　要：我国西南部地质灾害频发,江河流域以高山峡谷为主导的复杂地形使得滑坡灾害极易隐藏、突发性高、破坏性强,严重威胁到当地水电站、道路等设施和居民安全,因此快速、准确识别滑坡隐患区域具有重要意义。推导了干涉图堆叠技术(Stack⁃ing-InSAR)的计算公式和标准差公式,提取了澜沧江流域营盘镇—苗尾段纵向深切峡谷区域的年均形变速率及其标准差分布,进行了滑坡隐患广域识别,共识别出20处滑坡隐患;并结合光学遥感影像对典型滑坡隐患进行了解译分析。Geological disasters occur frequently in the southwest of China.The complex terrain dominated by high mountains and valleys in river basins makes landslide disasters very easy to hide,sudden and destructive,which can seriously threaten the safety of local hydropower stations,roads and other facilities as well as residents.Therefore,it is of great significance to quickly and accurately identify potential landslide areas.In this paper,we derived the calculation formula and standard deviation formula of Stacking-InSAR,extracted the annual average deformation rate and its standard deviation distribution in the longitudinal deep canyon area of Yingpan Town-Miaowei section of Lancang River basin,and carried out the wide area identification of potential landslide.Finally,we identified a total of 20 potential landslides,and interpreted and analyzed the typical potential landslide in combination with optical remote sensing images.

关 键 词：滑坡隐患识别 INSAR Stacking-InSAR 滑坡隐患解译与分析 澜沧江典型滑坡区 

分 类 号：P237[天文地球—摄影测量与遥感]