Insar Driven Landslide Detection and Monitoring Based on Small Baseline Sets - A Case Study of Jinsha River Valley (Dongchuan Section).

Interferometric synthetic aperture radar (InSAR) technique can periodically measure small deformation over a large area, providing many supports for landslide studies. However, landslide detection with InSAR is still a challenge problem, especially in the efficiency over large-area. In this paper, the workflow of InSAR driven landslide detection and monitoring is optimized based on small baseline sets. It adopts a two-step strategy: (1) regional detection by small baseline InSAR-stacking, (2) continuous monitoring of detected landslides by small baseline sets InSAR (SBAS-InSAR), making a trade-off between efficiency and accuracy. This workflow was applied in the Dongchuan Section of Jinsha River Valley. Over more than 5000 km ² , 62 active landslides are detected and mapped. Then for one typical landslide, Dapingdi landslide, deformation time-series are estimated to illustrate its growing process.