Soil moisture estimation under vegetation from PALSAR FBD data by means of polarimetric decomposition techniques

Christian N. Koyama, Peter Fiener & Karl Schneider
The disturbing effects caused by vegetation and surface roughness are major impediments to accurate quantitative retrievals of soil moisture from Synthetic Aperture Radar (SAR). With most of the operational spaceborne systems it is not possible to separate the different scattering contributions of the soil and vegetation components. In this study we use the coherent-on-receive dual-pol standard acquisitions (FBD343) of Phased Array type L-band Synthetic Aperture Radar (PALSAR) aboard the Advanced Land Observing Satellite (ALOS 'Daichi')...