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Title:   Author  item
                                            O’NEILL, PEGGY .E. - National Aeronautics And Space Administration (NASA)item
                                            CHAN, S. - Jet Propulsion Laboratoryitem
                                            COLLIANDER, ANDREAS - Jet Propulsion Laboratoryitem
                                            DUNBAR, R.S. - Jet Propulsion Laboratoryitem
                                            NJOKU, ENI - Jet Propulsion Laboratoryitem
                                            BINDLISH, R. - Science Systems, Incitem
                                            CHEN, F. - Science Systems, Incitem
                                            Jackson, Thomasitem
                                            PEIPMEIER, J. - National Aeronautics And Space Administration (NASA)item
                                            YUEH, S. - Jet Propulsion Laboratoryitem
                                            ENTEKHABI, DARA - Collaboratoritem
                                            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 CDROMInterpretive 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.


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