PHASE STATISTICAL MODEL AND CORRECTION IN IMAGERY OF GROUND BASED SYNTHETIC APERTURE RADAR (GBSAR) FOR LAND DEFORMATION MONITORING

There are millions of people in the world exposed to weather-related land deformation hazards. These weather-related mass movement activities are most likely due to climate change, the decrease of permafrost area, the change in precipitation pattern, etc. Landslide is the most common land deformation incidents reported in Malaysia for the past few years. Therefore, Remote Sensing and Surveillance Technologies (CRSST), Multimedia University (MMU), Malaysia has developed the ground-based synthetic aperture radar (GBSAR) as a tool to monitor the high-risk area, which is prone to landslide continuously. Preliminary testing of the GBSAR has been conducted in Cameron Highland, Malaysia to verify the performance of the GBSAR and its capability of detecting landslide. However, the phase stability of the GBSAR is one of the most crucial factors that affect the detection capability of GBSAR, especially when it comes to the sub-mm measurement. This paper reports the phase stability study of the GBSAR and presents an empirical model for interferometric phase statistics.