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Title:   Author  item
                                            Cosh, Michaelitem
                                            Jackson, Thomasitem
                                            COLLIANDER, ANDREAS - Jet Propulsion Laboratoryitem
                                            Goodrich, David

                                                         - *Dave*item
                                            Holifield Collins, Chandraitem
                                            McKee, Lynnitem
                                            KIM, S. - Jet Propulsion Laboratoryitem
                                            YUEH, S. - Jet Propulsion Laboratory
  Submitted to: Meeting Abstract
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 10/1/2015
                                    Publication  Date: 12/15/2015
                                    Citation: Cosh, M.H., Jackson, T.J., Colliander, Andreas, Goodrich, D.C., Holifield Collins, C., McKee, L.G., Kim, S., Yueh, S. 2016. Early results of the Soil Moisture Active Passive Validation Experiment (SMAPVEX15). American Geophysical Union Fall Meeting. December 14-18, 2015, San Francisco, CA. Abstract # H54B-07.Interpretive Summary:
                                Technical Abstract: In August of 2015, the Soil Moisture Active Passive Validation Experiment (SMAPVEX15) was conducted to provide a high resolution soil moisture dataset for the calibration/validation of the Soil Moisture Active Passive Mission (SMAP). The Upper San Pedro River Basin and the USDA-ARS Walnut Gulch LTAR Watershed provides the infrastructure for the experiment with its extensive soil moisture and soil temperature network. A total of seven aircraft flights are planned for the Passive Active L-Band Scanning instrument (PALS) to provide a high resolution soil moisture map for a variety of soil moisture conditions across the domain. Extensive surface roughness, vegetation and soil rock fraction mapping was conducted to provide a ground truth estimate of the many ancillary datasets used in the SMAP soil moisture algorithms. A review of the methodologies employed in the experiment, as well as initial findings will be discussed.


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