Scattering characterization and temporal change detection using co-polarimetric SAR imagery
Spanish PAZ, which was launched in February 2018, offers co-polarimetric (with HH and VV channel) SAR images with X-band and (down to) 11 days repeat cycle. By applying polarimetric decomposition, the radar scatterers from SAR imagery can be classified according to scattering mechanisms (mainly including surface, volume and dihedral scattering mechanism). Acknowledging the temporal evolution of all radar scatterers, it is relevant to monitor the changes of the classified radar scatterers over time. This study aims at producing a reliable classification map and classification dynamic map.
This study will utilize and compare several polarimetric decomposition methods to generate a reliable classification map, and identify the temporal evolution of all radar scatterers using classification dynamic map. The main objective is to demonstrate and assess the applicability of scattering characterization and change recognition using PAZ imagery, and determine the most suitable decomposition method for the test site. The test site will be in the north part of the Netherlands, with the spatial extent of ~750km2. Twelve PAZ SAR images will be available for this study.
Ling Chang and Alfred Stein (2020). Exploring PAZ co-polarimetric SAR data for surface movement mapping and scattering characterization. International Journal of Applied Earth Observation and Geoinformation.