Wetland characterization and classification using polarimetric RADARSAT-2 data

Wetlands play a key role in regional and global environments and are critically linked to many major issues such as climate change, water quality, the hydrological and carbon cycles, and wildlife habitat and biodiversity. Mapping wetlands and monitoring their change are a long-term task. Remote Sensing characters with macrocosm, dynamics, quantity, and comparability will largely favor wetland research, especially radar remote sensing, which is not limited by climate conditions, has been proved an effective tool in wetland monitoring. In this paper, the unique polarimetric data of RADARSAT-2 is investigated for wetland classification. The target decomposition is used for optimum characterization of wetland target scattering. In this study, it is shown that the polarimetric information provided by RADARSAT-2 permits discriminating eight classes of land surface, and leads to an effective unsupervised and supervised Wishart classification of Poyang Lake wetland. Hence, the combination of RADARSAT-2's polarimetric and all-weather capabilities should provide unique information for operational mapping and monitoring of wetlands.