Landslide risk assessment with multi pass DInSARanalysis: A case study over Uljin, Korea

Abstract

Landslide is one of the most dreadful natural hazards and the prime risk source causing lethal damages in many countries. In spite of various attempts to measure the landslide susceptibility by the remote sensed method including Differential Interferometric SAR (DInSAR) analysis, the construction of reliable forecasting systems still remains unsolved. In this study, we tackled the problem of DInSAR analysis for monitoring landslide risk over the mountainous areas where InSAR observations are usually contaminated by the orographic effects. In order to attain the correct surface deformation, time series analysis and atmospheric correction of DInSAR interferograms were conducted and crossly validated. As the result, both accordswith the external landslide triggering factors. Thus the quantitative landslide monitoring scheme is supposedly feasible on the condition that the high accuracy atmospheric error map and the methodology effectively compensating it from interferograms are available. The scheme in this study will be further upgraded for the application of future C, X and L band SAR by incorporating the spaceborne radiometer and/or weather forecasting model to establish electromagnetic wave delay map. © 2013 IEICE.