Title | ||
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Downscaling SMOS derived soil moisture for very wet conditions using a physically based approach |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/IGARSS.2014.6947158 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
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,DISPATCH,SMOS,linear model,nonlinear model,soil moisture | Downscaling,Computer science,Remote sensing,Water content | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Djamai, N. | 1 | 0 | 0.34 |
Magagi, R. | 2 | 13 | 1.45 |
Goita, K. | 3 | 30 | 2.29 |
Olivier Merlin | 4 | 141 | 19.31 |