Evaluation of Various Radar Backscattering Models Using C-Band and L-band SAR Data for Soil Moisture Estimation
Khabazan, Saeed1; Motagh, Mahdi2
1tehran university, IRAN, ISLAMIC REPUBLIC OF; 2GFZ, GERMANY
Soil moisture and surface roughness play an important role in several applications such as hydrology, agriculture, risk prediction, climate studies. Soil moisture exhibits very large spatial and temporal variability. Therefore, the ability of measuring soil moisture content on a large scale from space is very important. The fundamental basis of microwave remote sensing for soil moisture estimation is the contrast in dielectric properties of water and dry soil, and the relationship between the Fresnel reflection coefficient and dielectric constant.
The objective of this research is to evaluate capability of various radar backscattering models (Oh, Dubois, and Water Cloud Model (WCM)) for estimation of soil moisture in three different vegetation canopy covers and various soil depths. We test the models using different amount of NDVIs (i.e., NDVI<0.2, 0.2