A parameterized microwave model for short vegetation layer

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 for the inversion. Though the zeroth-order model is good for fast inversion with its simple form, it always underestimates the total emission at high frequency or for dense vegetation. The first-order model has higher accuracy due to the consideration of volume scattering contribution, but it is complex and computationally intensive. In this regard, we developed a parameterized model base on emissivity simulations from the first-order model for short vegetation covered ground in this paper. This parameterized model takes a similar form as that of the zeroth-order model. It is of great significance for accurate and efficient inversion.