Landslide risk assessment monitoring with multi pass L, X band InSAR Analyses

The anthropogenic construction activities conducted in the cutting side of mountainous area frequently result in localized landslide associating with the multiple environmental factors. Although Differential Interferometric SAR (DInSAR) analysis is attractive tool to foresee the susceptibility of such landslide, it is difficult to attain sufficient enough accuracy due to many error factors such as the vegetation canopy which causes the decorrelation of InSAR phase, the highly steep slope and distribution of water vapor inducing the propagation delay. In this study, we tackled such issues employing the approaches as follows; i) DInSAR analysis with L band ALOS PLASAR producing higher correlation in weakly vegetated area, ii) the water vapor modelling from weather Research Forecasting (WRF) with 1 km spatial resolution, iii) time series analysis with StaMPS (Stanford Method for Persistent Scatterers/Multi-Temporal InSAR) method. In addition, a super high resolution DInSAR campaign is being conducted together using staring spotlight TerraSAR-X images. The purpose of X band super high resolution DInSAR campaign is to test potential for the identification of deformation over individual structure. The outputs showed the potential landslide area around the artificial structure with few meter dimensions was successfully discriminated.