The potential of high resolution radar imagery to estimate various hydrological parameters, such as soil moisture, has long been recognized. Various Synthetic Aperture Radar (SAR) sensors have been developed to acquire and analyze data over terrain surfaces. As a parallel effort, several modeling approaches have also been used to simulate radar imagery for comparison with measured data. In order to perform realistic simulations, it is essential to incorporate the effects of. naturally-occurring spatial variability and spatial correlations of those ground parameters that affect the radar response. In the past, such simulations have largely neglected the use of spatial statistical characteristics of soil physical properties, with the result that it has not been possible to meaningfully interpret field-acquired data. In this paper, we specifically address the incorporation of the spatial characteristics of soil properties into radar image simulation models.