Passive Microwave Retrieval of Soil Moisture Below Snowpack at L-Band Using SMAP Observations
Divya Kumawat, Mohammadali Olyaei, Lun Gao, Ardeshir Ebtehaj
Abstract
Soil and its water content can remain unfrozen below an insulative snow cover and modulate snowmelt infiltration and runoff. In this paper, an emission model is proposed to account for L-band microwave emission of wet soils below a dry snowpack covered with an emerging moderately dense vegetation canopy. The model links the well-known tau-omega emission model with the snowpack dense media radiative transfer theory as well as a multi-layer composite reflection model to account for the impacts of a snow layer on the upwelling soil and the downwelling vegetation emission, respectively. It is demonstrated that even though a dry snow is a low-loss medium at L-band, omission of its presence leads to underestimation of soil moisture (SM), especially when soil (snow) becomes wetter (denser). Constrained inversion of the proposed emission model, using brightness temperatures from the Soil Moisture Active and Passive (SMAP) satellite, shows that the retrievals of SM and vegetation optical depth (VOD) are achievable with unbiased root mean squared errors of 0.060 m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> .m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-3</sup> and 0.124 [-], when compared with <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in situ</i> data from the International Soil Moisture Network (ISMN) as well as VOD-derived values from the Normalized Difference Vegetation Index (NDVI) obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) observations.