Surface parameters estimation using Radarsat-2 polarimetric data over wheat covered area

In the field of agriculture, robust harvests and crop yields are challenged by the dynamic nature of soil and crop conditions that fluctuate throughout the growing season. Satellite SAR imagery is an efficient method for mapping crop and underground soil characteristics over large spatial areas and tracking temporal changes in soil and crop conditions. Compared with conventional one (ERS-1/2,Radarsat-1) or two-polarization (Envisat /ASAR) space-borne SAR sensors, RADARSAT-2 powerful new features in terms of polarization can benefit the agricultural sector. In this paper, soil moisture and LAI from ground measurements is compared with power information of two Radarsat-2 polarimetric images, result shows soil moisture does has some influence when vegetation is short, but LAI doesn't influence backscattering at any stage of this paper.