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.

改进的DS-InSAR技术通过有效增加监测点的数量与密度，充分利用低相干性高山区的分布式散射体（distributed scatterers）。同时，采用OMMLM对流层延迟校正方法以减轻地形相关大气延迟的显著影响。随后，利用2020-2022年获取的Sentinel-1升轨与降轨影像的形变率，对滑坡进行了详细记录。计算了基于几何敏感性权重的多轨道数据地表形变分解结果，并结合平滑约束条件。最后，利用改进的质量守恒模型、三维形变率及源自原位数据的合适流变参数，对滑坡厚度进行了估算。