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Vegetation is the most important part of the terrestrial ecosystems which results in a large proportion of studies on vegetation parameters, such as coverage, biomass, water content and so on. Since the ultimate goal of remote sensing is to accurately and efficiently inverse land surface parameters, it is of great significance to find a good forward vegetation model with simple form and high accuracy...
Microwave scattering from snow is difficult to model due to the complexity and heterogeneity of natural snow. In this paper, we developed a multi-layer, multi-scattering model based on recent theoretical advances in snow and surface modeling. In the proposed multi-layer model, Matrix Doubling method is used to account for scattering from each snow layer; and Advanced Integral Equation Model (AIEM)...
In this paper, we evaluate the capability of the microwave emission model that including the Dense Media Radiative Transfer Model (DMRT) and AIEM for simulation of dry snow emissivity. We compared the model predictions with the ground experimental measurements. The comparison shows our snow microwave emission model agrees quite well with the measurements
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