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应用D-InSAR技术识别分析通渭县李店乡滑坡群灾害 被引量:1

Application of D-InSAR Technology to Identify and Analyze Landslides in Lidian Township,Tongwei County
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摘要 2019年9月14日,通渭县李店乡发生滑坡群地质灾害,造成较大损失。为观测此滑坡群形变,利用二轨法D-InSAR技术、该区域形变前后两景哨兵1A单视复数(SLC)数据及3种不同精度的DEM,通过基线估算与干涉图生成处理,滤波相干处理及相位解缠,相位精确修正等步骤,对其得出的3种形变结果进行对比分析。通过比较发现,最终以30 m精度DEM测出的形变效果最好,并以此判定了6处滑坡主体部分,均发生在李店乡东部及东北部方向,以阳山里村西部区域形变量最大,滑坡区域最密集。根据形变值与形变范围,结合滑坡特点、剖面情况、无人机航拍、土质状况及天气情况,判定滑坡原因是降水量过大引发的灾害。 On September 14,2019,a landslide group disaster occurred in Lidian Township of Tongwei County,causing great losses.In order to observe the deformation of the landslide group,the D-InSAR technique,SLC data of sentinel 1A before and after the deformation and three DEM with different precision were used to compare and analyze the three deformation results through baseline estimation,interferogram generation,filtering coherent processing,phase unwrapping and phase accurate correction.Through the comparison,it is found that the deformation effect measured by 30 m precision DEM is the best,and the main parts of 6 landslides are determined,all of which occur in the east and northeast of Lidian Township,and the deformation in the western area of yangshanli village is the largest and the landslide area is the most dense.According to the deformation value and deformation range,combined with landslide characteristics,profile,UAV aerial photography,soil conditions and weather conditions,it is determined that the landslide is caused by the disaster caused by excessive precipitation.
作者 王睿博 甘淑 张荐铭 Wang Ruibo;Gan Shu;Zhang Jianming(Faculty of Land Resource and Engineering,Kunming University of Science and Technology,Kunming 650093,China;Plateau Mountain Spatial Information Survey Technique Application Engineering Research Center at Yunnan Province’s University,Kunming 650093,China)
出处 《城市勘测》 2021年第2期96-102,共7页 Urban Geotechnical Investigation & Surveying
基金 国家自然科学基金项目:东川小江泥石流迹地的多尺度遥感探测试验分析研究(41861054) 国家自然科学基金项目:滇中星云湖高原湖泊流域聚落空间格局演化研究(41561083)。
关键词 D-INSAR 不同精度DEM 滑坡监测 D-InSAR DEM with different precision deformation monitoring
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