Regular Deformation-Based Landslide Potential Detection with DInSAR—A Case Study of Taipei City

Seventy percent of Taiwan consists of hillsides, and due to early urbanization in Taipei City, the safety of buildings and roads on hillsides is of paramount importance, especially given the increasing population density. This research aims to use remote sensing methods for the early detection of potential slope deformation. The current process typically involves visual image interpretation and on-site exploration, but SAR remote sensing technology can also be utilized to observe surface deformation trends. This technology can be used for potential landslide investigation, slope deformation, surface subsidence, seismic deformation observation, volcanic deformation observation, surface subsidence observation in mining areas, etc., to obtain long-term deformation trends. This study employs DInSAR technology to conduct a multi-sequence investigation and analyze possible variable slopes. Using the number of deformation points and the amount of deformation in the slope unit, the potential classification of the slope is carried out by comparing and analyzing the in-situ survey method and observation data. The DInSAR data is combined with both ascending and descending orbits to understand the possibility of surface deformation in Taipei City. The analysis results are consistent with the findings after on-site investigation, and the program has been adopted by the Taipei city government for several years.