| dc.description.abstract | Monitoring systems have increased significantly in recent years as a preventative step for dealing with natural disasters like landslides. The use of remote sensing for surface displacement measurement has been established for several decades, and this tool has been enhanced by the use of Synthetic Aperture Radar (SAR). A new technique for land movement monitoring was born from the SAR, known as Interferometric SAR (InSAR). The InSAR method involves co-registering multiple SAR images simultaneously and in place, and many researchers have adopted it to monitor landslide and subsidence. However, InSAR is a black box without a guideline for an optimal range or value of its parameters. Based on the requirements, this study carefully examined PS-InSAR and SBAS methods parameters and then to find the optimal values of parameters at Ali-shan, Chiayi by comparing with GNSS data using RMSE approach. Here we applied the STAMPS approach to generate the optimal range of PS and SBAS parameters. Finally, five influential parameters and suggested values of PS and SBAS processing have been found: 0.47 ≤ amplitude dispersion ≤ 0.48, unwrap_grid_size ≤ 50, unwrap_gold_alpha= 0.8, unwrap_gold_n_win =< 32, and unwrap_time_n_win ≤ 100 for PS, and ≥ 0.6, ≤ 30m, 0.8, ≤ 24, ≤32 respectively for SBAS. Moreover, to evaluate the feasibility of each parameter, we tested those parameters in I-Shan location with GNSS as well. At this 2nd study case we found the our optimal value more effective compared to the default value. However, a similar comparison in other places for verification is suggested to propose relevant optimal range of each parameter. | en_US |