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We present the application of a generic, semi-empirical first-order radiative transfer modelling approach for the retrieval of soiland vegetation related parameters from coarse-resolution space-borne scatterometer measurements (σ0). It is shown that both angularand temporal variabilities of ASCAT σ0 measurements can be sufficiently represented by modelling the scattering characteristics of the soil-surface and the covering vegetation-layer via linear combinations of idealized distribution-functions. The temporal variations are modelled using only two dynamic variables, the vegetation optical depth (τ) and the nadir hemispherical reflectance (N) of the chosen soil-bidirectional reflectance distribution function (BRDF). The remaining spatial variabilities of the soiland vegetation composition are accounted for via temporally constant parameters. The model was applied to series of 158 selected test-sites within France. Parameter estimates are obtained by using ASCAT σ0 measurements together with auxiliary Leaf Area Index (LAI) and soil-moisture (SM) datasets provided by the Interactions between Soil, Biosphere, and Atmosphere (ISBA) land-surface model within the SURFEX modelling platform for a time-period from 2007–2009. The resulting parametrization was then used used to perform SM and τ retrievals both with and without the incorporation of auxiliary LAI and SM datasets for a subsequent time-period from 2010 to 2012.

A Generic First-Order Radiative Transfer Modelling Approach for the Inversion of Soil and Vegetation Parameters from Scatterometer Observations