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Title:   Author  item
                                            CHAN, S. - Jet Propulsion Laboratoryitem
                                            BINDLISH, R. - Science Systems, Incitem
                                            O'NEILL, PEGGY, E. - National Aeronautics And Space Administration (NASA)item
                                            NJOKU, ENI - Jet Propulsion Laboratoryitem
                                            Jackson, Thomasitem
                                            COLLIANDER, ANDREAS - Jet Propulsion Laboratoryitem
                                            CHEN, FAN - Science Systems, Incitem
                                            BURGIN, M. - Jet Propulsion Laboratoryitem
                                            DUNBAR, R.S. - Jet Propulsion Laboratoryitem
                                            PEIPMEIER, J. - National Aeronautics And Space Administration (NASA)item
                                            YUEH, S. - Jet Propulsion Laboratoryitem
                                            ENTEKHABI, DARA - Collaboratoritem
                                            Cosh, Michaelitem
                                            CALDWELL, TODD - University Of Texasitem
                                            WALKER, JEFF - Monash Universityitem
                                            WU, X - Monash Universityitem
                                            BERG, A. - University Of Guelphitem
                                            ROWLANDSON, T. - University Of Guelphitem
                                            PACHECO, A. - Agriculture And Agri-Food Canadaitem
                                            MCNAIRN, H. - Agriculture And Agri-Food Canadaitem
                                            THIBEAULT, M. - Collaboratoritem
                                            MARTINEZ-FERNANDEZ, J. - University Of Salamancaitem
                                            GONZALEZ-ZAMORA, A. - University Of Salamancaitem
                                            Seyfried, Markitem
                                            Bosch, David

                                                         - *Dave*item
                                            Starks, Patrickitem
                                            Goodrich, David

                                                         - *Dave*item
                                            Prueger, Johnitem
                                            PALECKI, M. - National Oceanic & Atmospheric Administration (NOAA)item
                                            SMALL, E.E. - University Of Coloradoitem
                                            ZREDA, M. - University Of Arizonaitem
                                            CALVET, J.C. - Ecole Nationaleitem
                                            Crow, Wadeitem
                                            KERR, Y. - Center For The Study Of The Biosphère From Space(CESBIO)
  Submitted to: IEEE Transactions on Geoscience and Remote Sensing
                                    Publication Type: Peer Reviewed Journal
                                    Publication Acceptance Date: 4/1/2016
                                    Publication  Date: 5/25/2016
                                    Citation: Chan, S., Bindlish, R., O'Neill, P., Njoku, E., Jackson, T.J., Colliander, A., Chen, F., Burgin, M., Dunbar, R., Peipmeier, J., Yueh, S., Entekhabi, D., Cosh, M.H., Caldwell, T., Walker, J., Wu, X., Berg, A., Rowlandson, T., Pacheco, A., McNairn, H., Thibeault, M., Martinez-Fernandez, J., Gonzalez-Zamora, A., Seyfried, M.S., Bosch, D.D., Starks, P.J., Goodrich, D.C., Prueger, J.H., Palecki, M., Small, E., Zreda, M., Calvet, J., Crow, W.T., Kerr, Y. 2016. Assessment of the SMAP level 2 passive soil moisture product. IEEE Transactions on Geoscience and Remote Sensing. 54(8):1-14. doi:10.1109/TGRS.2016.2561938.Interpretive Summary: The first assessment of the Soil Moisture Active Passive (SMAP) satellite products based on the radiometer instrument showed that the retrievals are exceeding the mission goal of 0.04 m3/m3. Assessment methodologies utilized include comparisons of SMAP soil moisture retrievals with in situ soil moisture observations from core validation sites and sparse networks and inter-comparison with products from Soil Moisture Ocean Salinity (SMOS) satellite. Three alternative algorithms were considered and the results supported the recommendation to use the Single Channel Algorithm-Vertical Polarization as the baseline. SMAP has been providing products routinely since April, 2015. These results support the reliability of these products for use in agricultural hydrology, weather, and climate applications.
                                Technical Abstract: The NASA Soil Moisture Active Passive (SMAP) satellite mission was launched on Jan 31, 2015. The observatory was developed to provide global mapping of high-resolution soil moisture and freeze-thaw state every 2–3 days using an L-band (active) radar and an L-band (passive) radiometer. SMAP provides three geophysical (level 2) soil moisture products: a radiometer-only product (L2_SM_P), a radar-only product (L2_SM_A), and a combined radar/radiometer product (L2_SM_AP). The SMAP radiometer-only soil moisture product (L2_SM_P) provides soil moisture estimates posted on a 36 km Earth-fixed grid produced using brightness temperature observations from descending passes. The L2_SM_P product was assessed to have attained preliminary (beta) science quality and data were released to the public for evaluation in September 2015. The product is available from the NASA Distributed Active Archive Center (DAAC) at the National Snow and Ice Data Center (NSIDC). This paper provides a summary of the L2_SM_P product and its validation against in situ ground measurements collected from different data sources. Initial in situ comparisons conducted through October 2015, at a limited number of core validation sites and several hundred sparse networks points, indicate that the V-pol Single Channel Algorithm (SCA-V) currently delivers the best performance amongst algorithms considered for L2_SM_P, based on several metrics. The accuracy of the soil moisture retrievals averaged over the core validation sites was 0.038 m3/m3 unbiased root-mean-square difference (ubRMSD), which meets the SMAP mission requirement of 0.040 m3/m3.


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