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Title:   Author  item
                                            Kustas, William

                                                         - *Bill*item
                                            Anderson, Marthaitem
                                            Semmens, Kathrynitem
                                            HAIN, C. - University Of Marylanditem
                                            CAMMALLERI, C. - Collaboratoritem
                                            Alfieri, Josephitem
                                            Gao, Feng
  Submitted to: Acta Horticulturae
                                    Publication Type: Proceedings
                                    Publication Acceptance Date: 5/4/2015
                                    Publication  Date: 4/18/2016
                                    Citation: Kustas, W.P., Anderson, M.C., Semmens, K.A., Hain, C., Cammalleri, C., Alfieri, J.G., Gao, F.N. 2016. A thermal-based remote sensing modelling system for estimating crop water use and stress from field to regional scales. Acta Horticulturae. (ISHS) 1112/71-80.Interpretive Summary:
                                Technical Abstract: Thermal-infrared remote sensing of land surface temperature provides valuable information for quantifying root-zone water availability, evapotranspiration (ET) and crop condition. A thermal-based scheme, called the Two-Source Energy Balance (TSEB) model, solves for the soil/substrate and canopy temperatures that achieve a balance in the radiation and turbulent heat flux exchange with the lower atmosphere for the soil/substrate and vegetation elements.  In doing so, the TSEB is applicable to a wide range in atmospheric and canopy cover conditions. A modelling framework will be described called the Atmosphere-Land Exchange Inverse (ALEXI) that couples the TSEB scheme with an atmospheric boundary layer model in time-differencing mode to routinely map regional-scale daily ET at 3 to 10-km resolution using geostationary satellites. A related algorithm (DisALEXI) spatially disaggregates ALEXI output down to 'ner spatial scales using polar orbiting satellites. This modelling system along with strategies for fusing information from multiple satellite platforms and wavebands is being used to generate daily ET maps from field to regional scales. A summary of recent validation studies applying this multi-scale and multi-temporal modelling system to experimental sites in agroecosystems will be presented.


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