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Title:   Author  item
                                            Anderson, Marthaitem
                                            Gao, Fengitem
                                            HAIN, CHRISTOPHER - National Oceanic & Atmospheric Administration (NOAA)item
                                            Schull, Mitchellitem
                                            Kustas, William

                                                         - *Bill*
  Submitted to: Meeting Abstract
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 5/15/2013
                                    Publication  Date: 5/29/2013
                                    Citation: Anderson, M.C., Gao, F.N., Hain, C., Schull, M.A., Kustas, W.P. 2013. Data fusion techniques for mapping daily water use at field scales [abstract]. 2013 Hyperspectral Infrared Imager Symposium Symposium, NASA/GSFC, May 29-30, 2013, Greenbelt, MD.Interpretive Summary:
                                Technical Abstract: Satellite retrievals of land-surface temperature, derived from thermal infrared (TIR) imagery, have proven to have significant value in constraining diagnostic models of surface energy balance and evapotranspiration (ET).  The proposed Hyperspectral Infrared Imager (HyspIRI) will collect 60-m resolution TIR imagery with a 5-day revisit, providing spatiotemporal capabilities for monitoring realtime ET and vegetation stress/drought globally unsurpassed by previous satellite missions – sampling water use at the scale of human management.  Recent experiments have demonstrated that the temporal resolution of high resolution TIR imaging systems can be further enhanced by fusing lower spatial (1 km) but higher temporal resolution (~daily) ET retrievals using TIR data from the Moderate Resolution Imaging Spectroradiometer (MODIS) systems on board the Terra and Aqua satellite platforms.  We describe implementations of a prototype Landsat-MODIS ET data fusion over rainfed and irrigated agricultural fields in the U.S. and demonstrate added value in comparison with a simple Landsat-only interpolation scheme – particularly when a rainfall event occurs between Landsat overpasses.  Potential applications for fused ET datasets in the HyspIRI/VIIRS (Visible Infrared Imaging Radiometer Suite) era will be discussed, with societal benefits in the areas of food and water security.


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