联合SAR影像相位和幅度信息的多形变量级滑坡监测——以金沙江白格滑坡为例  

Monitoring a landslide with a multi-deformation magnitude based on the phase and amplitude information of SAR images:A case study of the Baige landslide in Jinsha River

作　　者：杨帆[1] 马志刚 文艳 董杰 姜清辉[4] YANG Fan;MA Zhigang;WEN Yan;Dong Jie;JIANG Qinghui(State Key Laboratory of Surveying,Mapping and Remote Sensing Information Engineering,Wuhan University,Wuhan 430079,China;Sichuan Institute of Territorial Space Ecological Restoration and Geological Disaster Prevention and Control,Chengdu 610084,China;School of Remote Sensing Information Engineering,Wuhan University,Wuhan 430079,China;School of Civil Engineering,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,武汉430079 [2]四川省国土空间修复与地质灾害防治研究院,成都610084 [3]武汉大学遥感信息工程学院,武汉430079 [4]武汉大学土木建筑工程学院,武汉430079

出　　处：《自然资源遥感》2024年第2期257-267,共11页Remote Sensing for Natural Resources

基　　金：四川省科技计划项目“四川省地质灾害隐患早期识别与监测预警”(编号:2021JDR0394);国家自然科学基金青年项目“复杂山区滑坡形变监测的相干散射体InSAR方法”(编号:41904001)共同资助。

摘　　要：近年来,雷达遥感被广泛用于提取滑坡表面的高精度形变信息,所用技术包括基于相位的干涉测量和基于幅度的像素偏移量追踪;然而,大型复杂滑坡的形变量在时间演化以及空间分布上都存在较大差异,单一雷达遥感手段难以实现滑坡形变的全面监测。该文在雷达遥感形变探测能力分析的基础上,提出联合SAR(synthetic aperture Radar)影像的相位和幅度信息进行滑坡的全过程监测。以2018年发生的金沙江白格滑坡为例,基于2014—2021年Sentinel-1数据和2014—2018年ALOS-2数据,联合时序InSAR(interferometric SAR)分析和时序像素偏移量追踪(pixel offset tracking,POT),获取滑坡灾前灾后时序形变。结果显示白格滑坡灾前后缘的年平均速率在20 mm/a,主滑坡区2014年12月—2018年7月形变量可达45 m左右;灾后滑坡逐渐向后缘扩张,年平均形变速率可达200 mm/a,已经威胁到部分民房。2种方法的联合可以实现大型复杂滑坡的时空维多形变量级提取。In recent years,radar remote sensing has been extensively applied to extract high-precision deformation information of landslide surfaces.The techniques used include phase-based interferometry and amplitude-based pixel offset tracking(POT).However,large complex landslides exhibit significantly different deformation magnitudes over the spatio-temporal evolution,complicating the comprehensive monitoring of landslide deformation via single radar remote sensing.Hence,by analyzing the deformation detection capability of radar remote sensing,this study proposed monitoring the whole process of a landslide combined with the phase and amplitude information of synthetic aperture radar(SAR)images.This study investigated the Baige landslide occurring in Jinsha River in 2018 based on Sentinel-1 data from 2014 to 2021 and ALOS-2 data from 2014 to 2018.Combined with time-series interferometric SAR(InSAR)analysis and POT,this study acquired the pre-and post-disaster time-series deformations of the landslide.The results are as follows.Pre-disaster,the trailing edge of the Baige landslide exhibited an average annual rate of 20 mm/a,with deformation of the main landslide area up to about 45 m from December 2014 to July 2018.Post-disaster,the landslide gradually expanded to the trailing edge,with an average annual deformation rate reaching 200 mm/a,threatening the safety of some civilian houses.Therefore,the combined method in this study can achieve the multi-deformation magnitude extraction of large complex landslides from spatio-temporal dimensions.

关 键 词：干涉测量 像素偏移量追踪 多形变量级 大型滑坡 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]