The Tor Vergata forest model, based on the radiative transfer theory and a discrete approach, has been completed by introducing routines which generate the input data set as a function of general variables, such as forest biomass and dbh (diameter at breast height) distribution. Comparisons between model simulations and measurements of emissivity and backscattering coefficient, at L band, are shown. Radiometric measurements covered a significant variability of biomass and two seasonal conditions. Backscattering coefficient data have been taken from the literature. A good correspondence between simulated and measured data is generally observed. Effects of both biomass variations and seasonal changes are well represented. The model is used to predict the performances of an L band radiometer in monitoring soil moisture under forests of various biomass values. Finally, since the model gives a full bistatic characterization of the scattering, it is used to predict the trends of the bistatic scattering coefficient as a function of biomass.