NDLI: Spatial patterns of SMOS downscaled soil moisture maps over the remedhus network (Spain)

Content Provider	IEEE Xplore Digital Library
Author	Sanchez, N. Piles, M. Scaini, A. Martinez-Fernandez, J. Camps, A. Vall-llossera, M.
Copyright Year	2012
Description	Author affiliation: CIALE, Centro Hispano Luso de Investigaciones Agrarias. University of Salamanca. Spain (Sanchez, N.; Scaini, A.; Martinez-Fernandez, J.) \|\| UPC Barcelona Tech and SMOS Barcelona Expert Center, Spain (Piles, M.; Camps, A.; Vall-llossera, M.)
Abstract	This paper describes the relationships found between remotely sensed soil moisture, in situ observed soil moisture, and spatial distribution of soil and climatic factors. For the comparison between remote and in situ soil moisture, soil moisture map series at high resolution, obtained by applying a downscaling approach that combines Soil Moisture and Ocean Salinity (SMOS) and MODIS imagery is extracted. The in situ soil moisture series are obtained from the Soil Moisture Measurement Stations Network (REMEDHUS) in Spain. For the spatial analysis, factors such as topography, precipitation, and land uses were mapped from the climatic and cartographic database of REMEDHUS. The comparison between downscaled and in situ soil moisture data resulted in correlation coefficient (R) values between 0.40 and 0.70, bias between −0.04 and 0.16 $m^{3}m^{−3},$ and root mean squared difference (RMSD) between 0.07 and 0.19 $m^{3}m^{−3}.$ Regarding the spatial correlations between downscaled and spatial factors, no clear patterns were found when considering the topography (Topographic Wetness Index, TWI), and the land uses (Landsat classification). Nevertheless, the downscaled soil moisture was more related with the spatial distribution of precipitation (Antecedent Precipitation Index, API), with significant correlations varying between 0.24 and 0.55.
Starting Page	714
Ending Page	717
File Size	449653
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6351465
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Soil moisture Spatial resolution Correlation MODIS Indexes Remote sensing Graphical models DEM SMOS soil moisture downscaling API
Content Type	Text
Resource Type	Article

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