We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Two-dimensional deformation monitoring of karst landslides in Zongling, China, with multi-platform distributed scatterer InSAR technique.
- Authors
Chen, Hengyi; Zhao, Chaoying; Sun, Rongrong; Chen, Liquan; Wang, Baohang; Li, Bin
- Abstract
Zongling landslides are the typical karst landslides located in the southwest of China, which have severely threatened the lives of local people. It is of great significance to monitor the real surface deformation of the unstable slopes for the hazard prevention by using the InSAR technology owing to its high precision and frequent revisit. However, the decorrelation effect and atmospheric delay caused by dense vegetation and alpine terrain result in less effective targets to monitor the full deformation of karst landslides. Besides, the derived deformation along one line-of-sight (LOS) direction can result in the misunderstanding of the real kinematics landslide process. In this study, we combine the multi-temporal distributed scatterer InSAR technology (DS-InSAR) and the multi-platform SAR measurements to derive the multi-dimension deformation time series of Zongling landslides. First, both ALOS/PALSAR-2 datasets and Sentinel-1A images from ascending and descending orbits are employed to acquire the deformation along the LOS direction using the DS-InSAR method, where dense effective targets can be achieved, and the deformation patterns can be revealed. Then, the multi-dimensional small baseline subset (MSBAS) method is used to retrieve the horizontal and vertical deformation of Zongling landslides, which further improve the temporal sampling of the deformation time series. Finally, the comprehensive analyses of driving factors and failure mode are conducted according to the spatial–temporal deformation characteristics, and field investigation. The results indicate that this technical route can not only retrieve the landslide deformation with high spatial–temporal sampling density, but also provide new insight into the driven effect of natural factors and mining activities on karst landslides.
- Subjects
CHINA; LANDSLIDES; KARST; DEFORMATION of surfaces; HAZARD mitigation; FAILURE mode &; effects analysis; MOUNTAIN plants
- Publication
Landslides, 2022, Vol 19, Issue 7, p1767
- ISSN
1612-510X
- Publication type
Article
- DOI
10.1007/s10346-022-01860-4