DocumentCode :
1153609
Title :
Assessing the SMOS Soil Moisture Retrieval Parameters With High-Resolution NAFE´06 Data
Author :
Merlin, Olivier ; Walker, Jeffrey Phillip ; Panciera, Rocco ; Escorihuela, Maria José ; Jackson, Thomas J.
Author_Institution :
Centre d´´Etudes Spatiales de la Biosphere, Toulouse, France
Volume :
6
Issue :
4
fYear :
2009
Firstpage :
635
Lastpage :
639
Abstract :
The spatial and temporal invariance of Soil Moisture and Ocean Salinity (SMOS) forward model parameters for soil moisture retrieval was assessed at 1-km resolution on a diurnal basis with data from the National Airborne Field Experiment 2006. The approach used was to apply the SMOS default parameters uniformly over 27 1-km validation pixels, retrieve soil moisture from the airborne observations, and then to interpret the differences between airborne and ground estimates in terms of land use, parameter variability, and sensing depth. For pastures (17 pixels) and nonirrigated crops (5 pixels), the root mean square error (rmse) was 0.03 volumetric (vol./vol.) soil moisture with a bias of 0.004 vol./vol. For pixels dominated by irrigated crops (5 pixels), the rmse was 0.10 vol./vol., and the bias was -0.09 vol./vol. The correlation coefficient between bias in irrigated areas and the 1-km field soil moisture variability was found to be 0.73, which suggests either 1) an increase of the soil dielectric roughness (up to about one) associated with small-scale heterogeneity of soil moisture or/and 2) a difference in sensing depth between an L-band radiometer and the in situ measurements, combined with a strong vertical gradient of soil moisture in the top 6 cm of the soil.
Keywords :
hydrological techniques; moisture; radiometry; remote sensing; soil; AD 2006; L-band radiometer; National Airborne Field Experiment; SMOS forward model parameters; SMOS soil moisture retrieval parameters; Soil Moisture and Ocean Salinity mission; high resolution NAFE data; land use; nonirrigated crops; parameter variability; pastures; sensing depth; soil dielectric roughness; soil moisture heterogeneity; vertical soil moisture gradient; Airborne experiment; L-band radiometry; National Airborne Field Experiment (NAFE); Soil Moisture and Ocean Salinity (SMOS); calibration; retrieval algorithm; soil moisture;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2009.2012727
Filename :
4781581
Link To Document :
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