Abstract
Many models have been developed in the active microwave domain to explain backscatter as a function of soil moisture and/or surface roughness. They can be categorised in three classes: theoretical models, empirical models and semi-empirical models. In this paper we will describe the semi-empirical Dubois-model [Dubois, P., Van Zyl, J., Engman, T., 1995. Measuring soil moisture with imaging radars. IEEE Transactions on Geoscience and Remote Sensing, 33 (4) 915–926.]. The decisive criterion for choosing this model is its tolerance of sparsely vegetated ground surface (NDVI<0.4), whereas other models require the complete absence of vegetation. After a brief description of image acquisition and ground truth measurements, the effect of measurement and image calibration inaccuracies on the inversion of the radar measurements to infer soil moisture and surface roughness will be analysed.
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