Analysis of the SMAP Roughness Parameter and the SMAP Vegetation Optical Depth.

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)(2022)

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Abstract
The SMAP product provides the soil moisture (SM) computed using three different retrieval algorithms: the single channel H and V algorithms (SCA-H and SCA-V), and the dual-channel algorithm (DCA) which in addition provides the vegetation optical depth (VOD). The roughness model and the roughness parameters play an important role in the determination of the soil moisture and the VOD. In this regard, the SMAP SCA and DCA utilize different approaches to incorporate the effect of roughness. In this work we will summarize those approaches and we will evaluate the effect of the DCA approach on the retrieval of VOD. We will compare the SMAP DCA roughness parameter $h$ with topographic parameters such as DEM height, DEM slope, DEM height standard deviation and DEM slope standard deviation.
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