3D Deformation and Depth Parameter Estimation of Shadong Landslides with Improved DS-InSAR and multi-orbit Sentinel-1 Imagery
Description
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.
Files
Steps to reproduce
Download Sentinel-1A Interferometric Wide (IW) mode VV-polarized images and 12.5m ALOS DEM through ASF website; Integrating DS InSAR with multi orbital Sentinel-1 images to obtain three-dimensional landslide deformation； Using OMMLM algorithm for atmospheric phase delay correction; integrating 3D deformation data with the mass conservation model to calculate the thickness distribution of the landslide.
Institutions
- China University of Mining and Technology