DocumentCode :
143671
Title :
Downscaling SMOS derived soil moisture for very wet conditions using a physically based approach
Author :
Djamai, Najib ; Magagi, Ramata ; Goita, Kalifa ; Merlin, Olivier ; Kerr, Yann H. ; Walker, Anne
Author_Institution :
Univ. de Sherbrooke, Sherbrooke, QC, Canada
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
3198
Lastpage :
3201
Abstract :
A physically based downscaling algorithm, DISPATCH (DISaggregation based on Physical And Theoretical scale CHange), has been used to estimate soil moisture at 1 km scale from coarse resolution SMOS soil moisture estimates over the agricultural site of the CanEx-SM10 campaign. In this paper, we test the applicability of the algorithm and analyze the linearity of the relationship between the soil evaporative efficiency (SEE) and the near-surface soil moisture (SM) for very wet soils. In such conditions, the results show that the linear model is not suitable due to a difficulty in estimating Tsmax (dry edge) within the SMOS pixel. The use of a neighboring area to estimate a reliable value of Tsmax was tested and validated in order to improve the linear model results.
Keywords :
evaporation; hydrological techniques; moisture; soil; CanEx-SM10 campaign; DISPATCH downscaling algorithm; SMOS pixel; SMOS soil moisture estimates; Tsmax value; agricultural site; linear model; near-surface soil moisture; physically based approach; soil evaporative efficiency; L-band; Mathematical model; Moisture; Ocean temperature; Remote sensing; Soil moisture; DISPATCH; SMOS; linear model; nonlinear model; soil moisture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947158
Filename :
6947158
Link To Document :
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