Prof. Wang noted that previous methods to detect landslide movements included using commercial satellite and SAR data, PSInSAR methods, sensors on buildings to look for building deformation, and various types of DEM sources, such as UAV and airborne LiDAR. In his study, he wanted to test some known methods to extract the different displacement paths from time-series data, but also to run the exact procedure in ENVI SARscape.
For Prof. Wang, the choice to use ENVI and ENVI SARscape for this analysis was obvious. He notes that “ENVI is one of the best and most budget-reasonable, remote sensing packages for education and research. After using shareware codes such as ROI_PAC for years, ENVI SARscape software is easy to operate and reproduce the same procedures.”
For his study, he used the regular revisit period of ESA Sentinel-1 data for analysis and a one meter LiDAR DEM as reference elevation, to help to detect more complex deformation from DInSAR (Figure 1).