抄録
Soil moisture plays a key role in climate systems through its strong impacts on water and energy cycle between land surface and atmosphere and contributes to improvement of weather and water resources predictions at regional and global scales. In addition, soil moisture distribution at very local scale, such as a farmland one, is useful for agricultural activity and management. Therefore, Synthetic Aperture Radar (SAR) is expected to observe soil moisture with high spatial and temporal resolutions. The purpose of this study is to consider the frequently-applicable algorithm for soil moisture by coupling the multi-polarimetric and the single observations obtained by the Phased Array type L-band Synthetic Aperture Radar (PALSAR) onboard the Advanced Land Observing Satellite (ALOS).
