Abstract
Soil moisture is important information for agricultural fields. Applying remote sensing techniques are useful for soil moisture estimation, while it is difficult to measure on a routine basis over large areas. Although the data acquired by Synthetic Aperture Radar (SAR) is sensitive for soil moisture, several factors, such as surface roughnessand vegetation, can also interfere the data. Water Cloud Model is widely used and improved for soil moisture estimation over vegetated areas. In this paper, the Improved Water Cloud Model developed by Saradjian and Hossseini(2011) was modified to estimate soil moisture over winter wheat fields using gamma naught from the TerraSAR-X. The method applied in this study has a RMS error of 6.3 % on volumetric soil moisture values over vegetated areas.
