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Title:   Author  item
                                            Kustas, William

                                                         - *Bill*item
                                            Alfieri, Josephitem
                                            Anderson, Marthaitem
                                            Colaizzi, Paulitem
                                            Prueger, Johnitem
                                            CHAVES, JOSE - Colorado State Universityitem
                                            NEALE, CHRISTOPHER - Utah State Universityitem
                                            Dulaney, Wayneitem
                                            Copeland, Karenitem
                                            Howell, Terry
  Submitted to: International Association of Hydrological Science
                                    Publication Type: Proceedings
                                    Publication Acceptance Date: 2/22/2011
                                    Publication  Date: 9/21/2012
                                    Citation: Kustas, W.P., Alfieri, J.G., Anderson, M.C., Colaizzi, P.D., Prueger, J.H., Chaves, J.L., Neale, C.M., Dulaney, W.P., Copeland, K.S., Howell, T.A. 2012. Utility of thermal-based dual-temperature-difference technique under strongly advective conditions during BEAREX08. International Association of Hydrological Science. 352:145-148.Interpretive Summary:
                                Technical Abstract: Application of most thermal remote sensing-based energy balance models requires meteorological inputs of wind speed and air temperature.  These are typically obtained from the nearest weather station which is often situated in a non-ideal location having limited fetch.  In addition, the uncertainty of surface temperature estimates can be several degrees due to sensor calibration issues, atmospheric effects and variation in surface emissivity.  The Dual-Temperature-Difference (DTD) method, which uses a double difference of the time rate of change in radiometric and air temperature observations, was developed to reduce errors associated with deriving the temperature gradient in complex landscapes, such as agricultural environments having a patchwork of irrigated and non-irrigated fields. The scheme is relatively simple, requiring minimal ground-based data and meteorological input from an existing synoptic weather station network. The utility of this scheme is tested with ground-based radiometric temperature observations from the Bushland Evapotranspiration and Agricultural Remote Sensing Experiment 2008 (BEAREX08), conducted in semi-arid climate of the Texas High Plains.


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