DocumentCode :
1467936
Title :
Validation of the SMOS L2 Soil Moisture Data in the REMEDHUS Network (Spain)
Author :
Sánchez, Nilda ; Martínez-Fernández, José ; Scaini, Anna ; Pérez-Gutiérrez, Carlos
Author_Institution :
Centro Hispano-Luso de Investig. Agrarias (CIALE), Univ. de Salamanca, Salamanca, Spain
Volume :
50
Issue :
5
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
1602
Lastpage :
1611
Abstract :
The Level 2 soil moisture products from the Soil Moisture and Ocean Salinity (SMOS) mission have been re- leased. The data must be validated under different scenarios of biophysical and climatic conditions. For the current study, the data from January to December 2010 from 20 in situ soil moisture stations from the REMEDHUS soil moisture measurement station network (Spain) were used. A comparison analysis was carried out in terms of the soil moisture content, its spatial variability, and temporal stability. The results show an acceptable level of agreement (R = 0.73, RMSD = 0.069 m3 · m-3, and bias = 0.053 m3 · m-3) between the in situ and satellite data. A slight constant underestimation from the SMOS data set was detected. A centered (bias removed) root-mean-square difference was calculated to account for this persistent bias (RMSDc = 0.044 m3 · m-3). This result is close to the SMOS accuracy objective of 0.04 m3 · m-3. Two conclusions can be drawn: First, SMOS is close to meet the mission accuracy requirements in REMEDHUS, and second, SMOS is able to detect temporal anomalies and the temporal evolution of ground soil moisture, even though the soil moisture was slightly underestimated. Despite a noticeably reduced spatial variability among the SMOS grid cells, the remotely sensed soil moisture shows a spatial pattern of the soil moisture fields on the area scale, in agreement with the site-specific characteristics of REMEDHUS. No differences were found between the use of ascending and descending orbits. In addition, no differences were detected between the use of time-overpass values of in situ soil moisture and that of the daily average.
Keywords :
geophysics computing; grid computing; hydrological techniques; moisture; remote sensing; soil; AD 2010 01 to 12; REMEDHUS Network; SMOS grid cells; SMOS soil moisture data; Spain; biophysical condition; climatic condition; ground soil moisture; spatial variability; temporal stability; Indexes; Satellites; Sea measurements; Soil measurements; Soil moisture; Temperature measurement; Measurement; passive microwave remote sensing; soil moisture;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2012.2186971
Filename :
6168254
Link To Document :
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