3D Deformation and Depth Parameter Estimation of Shadong Landslides with Improved DS-InSAR and multi-orbit Sentinel-1 Imagery

The improving DS-InSAR technology is employed to fully exploit distributed scatterers in high mountainous areas of low coherence by effectively increasing the number and density of monitoring points. And the OMMLM tropospheric delay correction method is utilized to mitigate the apparent influence of terrain-correlated atmospheric delay. Then the landslides are well documented with the deformation rate from ascending and descending sentinel-1 imagery acquired during 2020-2022. The geometry sensitivity-based weight surface deformation decomposition results with multi-orbit data along with smoothness constraints are computed. Landslides thicknesses are then estimated with the improved mass conservation model, the 3D deformation rates and appropriate rheological parameters from in-situ data.

本研究采用改进型分布式散射体合成孔径雷达干涉测量（DS-InSAR）技术，通过有效提升监测点的数量与密度，充分利用低相干高山区的分布式散射体。同时运用OMMLM对流层延迟校正方法，缓解地形相关大气延迟的表观影响。基于2020-2022年获取的升轨与降轨哨兵1号（Sentinel-1）卫星影像的形变速率，对滑坡开展了详实的形变记录。结合多轨道数据与平滑性约束条件，计算得到基于几何敏感性的加权地表形变分解结果。随后，依托改进的质量守恒模型、三维形变速率以及现场实测得到的适配流变参数，完成滑坡体厚度的估算。