This paper takes the delta oasis of Weigan and Kuqa rivers in Xinjiang as the study area. Fusion image of SAR （Radar-sat image） combined with visible spectrum remote sensing image （TM image） is used to extract soil and vegetation water content in arid oasis. Based on the Normalized Difference Moisture Index extracted from homochronous visible spectrum remote sensing data

this thesis utilizes "water-cloud model" to wipe off vegetation influence from total backscattering coefficient of radar data and sets up the relationship between soil backscattering coefficient and soil moisture. Correlation coefficient for HH Polarization is R2 =0.5227

for HV Polarization is R2 =0.3277. Result shows that in arid and semi-arid area where the main crops are cotton and corn

the combination of C-band HH polarization radar data with visible image performs well in the study of removing vegetation influence while retrieving soil water content in medium vegetated areas.