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
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.
万方数据
