贵州龙井村滑坡前兆形变的多源SAR影像分析  

Analysis of precursory movements of the recent Longjing village landslide with multi-source SAR datasets

作　　者：殷幼松 谢酬 李晓芳 康永辉[3] 刘广全 李杰 YIN Yousong;XIE Chou;LI Xiaofang;KANG Yonghui;LIU Guangquan;LI Jie(EarthSTAR Inc,Huzhou.Zhejiang 313200,China;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beiing 100101,China;Chinese Academy of Surveying and Mapping,Bejing 100036,China)

机构地区：[1]环球星云遥感科技有限公司,浙江湖州313200 [2]中国科学院遥感与数字地球研究所,北京100101 [3]中国测绘科学研究院,北京100036

出　　处：《测绘科学》2020年第10期55-63,共9页Science of Surveying and Mapping

摘　　要：为了获取贵州兴义市龙井村大型岩质滑坡的前兆形变信息,该文以RADARSAT-2和Sentinel-1A影像集为数据源,采用时序InSAR分析方法,解译得到该滑坡2018年初至临滑前的形变速率与时间序列。针对研究区单一影像源形变监测结果存在的离散点密度少、滑坡体时序演化规律刻画不足等问题,该文在充分融合相干分布式目标进行形变反演的基础上,结合两类影像源的空间分辨率和重访周期优势,获取到滑坡发生前周边的形变信息。分析结果表明,龙井村滑坡在监测时段内存在明显形变行为,且其发生前两个月内有加速下滑迹象,时间序列曲线切线角增大,滑动风险逐渐增加。In order to obtain the precursory movements around the rockslide which occurred on 17 th February 2019 in the Longjing village,Xingyi city,Guizhou province,synthetic aperture radar datasets acquired by RADARSAT-2 and Sentinel-1 A were collected and analyzed by using time-series interferometric synthetic aperture radar(InSAR) method to get deformation velocity and pre-slide deformation time series. This paper combined the advantages of spatial resolution and quick revisit of two datasets to acquire pre-slide information on the basis of fusing coherent distributed scatterers into traditional InSAR processing. Analytical results indicated that there was obvious deformation behavior in the monitoring period of Longjing village landslide. Moreover,there were signs of accelerated decline in the first two months. The sliding risk increased gradually with the tangent angle of time series curve became more steeper.

关 键 词：时序InSAR 龙井村滑坡 RADARSAT-2 Sentinel-1A 形变 

分 类 号：P237[天文地球—摄影测量与遥感]