Coherent model of L band radar scattering by soya bean fields using analytic methods and Monte Carlo simulations

We use the coherent model for L band radar remote sensing of soya bean fields. Analytic methods and Monte Carlo simulations are used. The novel feature of the analytic model consists of introducing mutual exclusion functions to eliminate the overlap effects of branches in the former branching model. To validate the new results, Monte Caro simulations are also used by generating samples of soya bean fields and calculating the scattered field for each sample. The Monte Carlo simulations are in good agreement with proposed analytic model. Backscattering coefficients are illustrated for a variety of scenarios with varying VWC and soil moisture conditions. The results show that HH are significantly different based on the coherent model versus that of the distorted Born approximation or first order radiative transfer model. The results are compared with experimental data measured at SMAPVEX 12 field campaign in both the absolute values of backscattering as well as the polarization ratio between VV and HH.