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A simple statistical inversion model is developed for the retrieval of soil moisture, based on two frequencies. The model is applicable to desert semi-arid areas such as Kuwait, where the surface is covered with scant vegetation and moderate roughness. In this study, Nimbus-7 SMMR brightness temperature ( T b ) data at two bands ( T b(H) of 6.6 GHz and T b(V) of 37 GHz) acquired during the six-year period (1979–1985) are used for the retrieval and monitoring of soil moisture. The model parameters are fine-tuned with field data. The accuracy of estimation of soil moisture is of the order of 3%. The soil moisture varies from 1% (in dry summer) to 13% (during the rainy period), with an average of 4%.