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基于时序InSAR的金沙江流域滑坡隐患早期识别研究 被引量:1

Study on Landslide Identification and Deformation Characteristics Based on Time Series InSAR--A case study for the region from the Gongjue section of Jinsha River Basin
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摘要 金沙江流域呈典型的高山峡谷地貌,是滑坡灾害频发区域之一。文章以金沙江贡觉段为例,通过时序InSAR和遥感影像相结合的方法识别研究区域内潜在滑坡体。利用Sentinel-1A升轨和降轨数据,基于时序InSAR技术分析了研究区域形变特征,辅助光学遥感影像在研究区域内共识别出潜在滑坡体9处,且各滑坡体活动性差异较大。其中,6处滑坡体最大形变速率小于-50mm/a,3处滑坡体最大形变速率大于-100mm/a。 The Jinsha River Basin is a landslide-prone area,it has steep terrain on both sides of the river due to strong incision.The Jinsha River basin is one of the areas where landslide disasters occur frequently,which is a typical high valley landform.In this paper,taking Gongjue section of Jinsha River as an example,the potential landslides in the study area are identified by the method of time series InSAR and remote sensing images.Based on the Sentinel-1A ascending and descending orbit data,the de-formation characteristics of the study area are analyzed based on time-series InSAR technology.Nine potential landslides are identified in the study area with the aid of optical remote sensing images,and the activity of each landslide is quite different.Among them,the maximum deformation rate of 6 landslides is less than-50 mm/a,and the maximum deformation rate of 3 lan-dslides is greater than-100 mm/a.
作者 邢丽 沈珍 XING Li;SHEN Zheng(School of Civil and Surveying&Mapping Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China;The College of Post and Telecommunication of Wuhan Institute of Technology,Wuhan 430072,China)
出处 《长江信息通信》 2023年第8期38-40,共3页 Changjiang Information & Communications
关键词 滑坡识别 时序InSAR 形变监测 遥感影像 金沙江流域 landslide identification time series InSAR deformation monitoring remote sensing image Jinsha River Basin
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