Paper Info
Title
Validation Analysis of SMAP and AMSR2 Soil Moisture Products over the United States Using Ground-Based Measurements.
Abstract
Soil moisture products acquired from passive satellite missions have been widely applied in environmental processes. A primary challenge for the use of soil moisture products from passive sensors is their reliability. It is crucial to evaluate the reliability of those products before they can be routinely used at a global scale. In this paper, we evaluated the Soil Moisture Active/Passive (SMAP) and the Advanced Microwave Scanning Radiometer (AMSR2) radiometer soil moisture products against in situ measurements collected from American networks with four statistics, including the mean difference (MD), the root mean squared difference (RMSD), the unbiased root mean square error (ubRMSE) and the correlation coefficient (R). The evaluation results of SMAP and AMSR2 soil moisture products were compared. Moreover, the triple collocation (TC) error model was used to assess the error among AMSR2, SMAP and in situ data. The monthly average and daily AMSR2 and SMAP soil moisture data were analyzed. Different spatial series, temporal series and combined spatial-temporal analysis were carried out. The results reveal that SMAP soil moisture retrievals are generally better than AMSR2 soil moisture data. The remotely sensed retrievals show the best agreement with in situ measurements over the central Great Plains and cultivated crops throughout the year. In particular, SMAP soil moisture data shows a stable pattern for capturing the spatial distribution of surface soil moisture. Further studies are required for better understanding the SMAP soil moisture product.
Year
DOI
Venue
2017
10.3390/rs9020104
REMOTE SENSING
Keywords
Field
DocType
soil moisture,SMAP,in situ,AMSR2,triple collocation (TC),statistics
Soil science,Mean difference,Correlation coefficient,Satellite,Remote sensing,Mean squared error,Root mean square,Water content,Geology,Radiometer,Spatial distribution
Journal
Volume
Issue
ISSN
9
2
2072-4292
Citations 
PageRank 
References 
6
0.44
15
Authors
5
Name
Order
Citations
PageRank
Xuefei Zhang14515.68
Tingting Zhang2203.14
Ping Zhou34111.20
Yun Shao412130.47
Shan Gao5136.31