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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Publications at this Location » Publication #325197
Title: Evaluation of the validated soil moisture product from the SMAP radiometer

Author
item O’NEILL, PEGGY .E. - National Aeronautics And Space Administration (NASA)
item CHAN, S. - Jet Propulsion Laboratory
item COLLIANDER, ANDREAS - Jet Propulsion Laboratory
item DUNBAR, R.S. - Jet Propulsion Laboratory
item NJOKU, ENI - Jet Propulsion Laboratory
item BINDLISH, R. - Science Systems, Inc
item CHEN, F. - Science Systems, Inc
item Jackson, Thomas
item PEIPMEIER, J. - National Aeronautics And Space Administration (NASA)
item YUEH, S. - Jet Propulsion Laboratory
item ENTEKHABI, DARA - Collaborator
item Cosh, Michael

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 4/1/2016
Publication Date: 7/18/2016
Citation: O’Neill, Peggy .E., Chan, S., Colliander, A., Dunbar, R.S., Njoku, E., Bindlish, R., Chen, F., Jackson, T.J., Bindlish, R., Peipmeier, J, Yueh, S., Entekhabi, D., Cosh, M.H. 2016. Evaluation of the validated soil moisture product from the SMAP radiometer IEEE Geoscience and Remote Sensing Symposium (IGARSS) 2016 APP:1/15/2016 SUBMIT:1/16/2016 PUB:7/18/2016 CDROM

Interpretive Summary:

Technical Abstract: In this study, we used a multilinear regression approach to retrieve surface soil moisture from NASA’s Soil Moisture Active Passive (SMAP) satellite data to create a global dataset of surface soil moisture which is consistent with ESA’s Soil Moisture and Ocean Salinity (SMOS) satellite retrieved surface soil moisture. This was achieved by calibrating coefficients of the regression model using SMOS soil moisture and horizontal and vertical brightness temperatures (TB), over the 2013 - 2014 period. Next, this model was applied to recent SMAP TB data from 31/03/2015-08/09/2015. The retrieved surface soil moisture from SMAP (referred here to as SMAP-reg) was compared to the original SMAP surface soil moisture retrieved using single channel algorithm. Both exhibit comparable temporal dynamics with a good agreement of correlation (correlation coefficient R mostly > 0.8) between the SMAP-reg and SMAP original surface soil moisture products.