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Title:   Author  item
                                            Kustas, William

                                                         - *Bill*item
                                            AGAM, NURIT - VISITING SCIENTISTitem
                                            Anderson, Marthaitem
                                            Li, Fuqinitem
                                            Colaizzi, Paul
  Submitted to: Proceedings of SPIE
                                    Publication Type: Proceedings
                                    Publication Acceptance Date: 9/17/2007
                                    Publication  Date: 10/17/2007
                                    Citation: Kustas, W.P., Agam, N., Anderson, M.C., Li., F., Colaizzi, P.D. 2007. Potential errors in the application of thermal-based energy balance models with coarse resolution data. In: Proceedings of International Society for Optical Engineering, September 17-20, 2007, Florence, Italy. 6742(674208) http://dx.doi.org/10.117/12.737776.Interpretive Summary:
                                Technical Abstract: A thermal sharpening algorithm (TsHARP) providing fine resolution land surface temperature (LST) to the Two-Source-Model (TSM) for mapping evapotranspiration (ET) was applied over two agricultural regions in the U.S.  One site is a rainfed corn and soybean production region in central Iowa, while the other is an irrigated agricultural area in the Texas High Plains.  Application of TsHARP to coarse (1 km) resolution thermal data over the rainfed agricultural area is found to produce reliable fine/within-field (60 m) resolution ET estimates, while in contrast, the TsHARP algorithm applied to the irrigated area does not perform as well, possibly due to significant sub-pixel moisture variations from irrigation. As a result, there may be little benefit in applying TsHARP for generating TSM-derived 60 m ET maps for the irrigated compared to the rainfed region.  Consequently, reliable estimation of fine/within-field ET and crop stress still requires fine native resolution thermal imagery in areas with significant sub-pixel moisture variations.


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