NDLI: Analyzing the impact of using the SRP (Simplified roughness parameterization) method on soil moisture retrieval over different regions of the globe

Content Provider	IEEE Xplore Digital Library
Author	Fernandez-Moran, R. Wigneron, J.-P. Lopez-Baeza, E. Al-Yaari, A. Bircher, S. Coll-Pajaron, A. Mahmoodi, A. Parrens, M. Richaume, P. Kerr, Y.
Copyright Year	2015
Description	Author affiliation: Centre INRA Bordeaux Aquitaine, INRA, Villenave d'Ornon, France (Wigneron, J.-P.; Al-Yaari, A.) \|\| CESBIO, UPS, Toulouse, France (Bircher, S.; Mahmoodi, A.; Parrens, M.; Richaume, P.; Kerr, Y.) \|\| Dept. of Earth Phys. & Thermodynamics, Univ. of Valencia, Valencia, Spain (Fernandez-Moran, R.; Lopez-Baeza, E.; Coll-Pajaron, A.)
Abstract	This paper focuses on a new approach to account for soil roughness effects in the retrieval of soil moisture (SM) at L-band in the framework of the SMOS (Soil Moisture and Ocean Salinity) mission: the Simplified Roughness Parameterization (SRP). While the classical retrieval approach considers SM and $τ_{NAD}$ (vegetation optical depth) as retrieved parameters, this approach is based on the retrieval of SM and the TR parameter combining $τ_{NAD}$ and soil roughness (TR = $τ_{NAD}$ + $H_{R}/2).$ Different roughness parameterizations were tested to find the best correlation (R), bias and unbiased RMSE (ubRMSE) when comparing homogeneous retrievals of SM and in situ SM measurements carried out at the VAS (Valencia Anchor Station) vineyard field. The highest R (0.68) and lowest ubRMSE (0.056 $m^{3}$ $m^{-3})$ were found using the SRP method. Using the SMOS observations comparisons against several SM networks were also made: AACES, SCAN, watersheds and SMOSMANIA. SM was retrieved over all these stations. The SRP and another similar approach (SRP2) improved the averaged ubRMSE, while the SRP2 method leaded to higher correlation values (R). A global underestimation of SM was noticed, which may be linked to the differences in the sampling depths of the L-band observations (~ 0-3cm for both Elbara-II and SMOS) and of the in situ measurements (~ 0-5 cm).
Starting Page	5182
Ending Page	5185
File Size	446916
Page Count	4
File Format	PDF
e-ISBN	9781479979295
DOI	10.1109/IGARSS.2015.7327001
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Soil moisture L-band Soil measurements Vegetation mapping Mathematical model Microwave radiometry
Content Type	Text
Resource Type	Article

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