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ALBEDO ACCURACY IMPACT ON EVAPOTRANSPIRATION ESTIMATION

机译:误差对蒸发蒸腾估算的影响

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In this work, we analyze the influence of estimating thernland surface albedo directly from the surface reflectancernor through the BRDF integration in the estimation ofrnenergy balance components such as the net radiation,rnlatent and heat flux and consequently in the land surfacernevapotranspiration. To this end, we processed remoternsensing and in-situ meteorological data measured at thernagricultural test site of Barrax in the framework of EarthrnObservation: optical Data calibration and InformationrneXtraction (EODIX) project. Remote sensing imagesrnwere acquisitioned for different View Zenith Anglesrn(VZA) by the Airborne Hyperspectral Images (AHS).rnResults have shown that albedo estimations derivedrnfrom BRDF model present stability through everyrnimage while albedo estimations using single reflectancernpresented high variation depending on the VZA. Thernhighest difference was observed in the backwardrnscattering direction along the hot spot region obtaining arnRMSE of 0.11 through the AHS image which implied arnrelative error of 65%. This work has analyzed the errorrncommitted by many evapotranspiration studies thatrnassume the surface as Lambertian and estimate thernalbedo from a surface reflectance weighted average.
机译:在这项工作中,我们分析了通过BRDF积分直接从地表反射率或地表反射率估算地表反照率对估算能量平衡分量(如净辐射,潜能和热通量)以及地表地表蒸散量的影响。为此,我们在Earthrnobservation的框架内处理了在Barrax的农业试验场测量的遥感和原地气象数据:光学数据校准和InformationrneXtraction(EODIX)项目。机载高光谱图像(AHS)针对不同的View Zenith Angles(VZA)采集了遥感图像。结果表明,从BRDF模型获得的反照率估计通过每个图像都表现出稳定性,而使用单一反射率的反照率估计则表现出取决于VZA的高变化。在沿热点区域的向后散射方向上观察到最大差异,通过AHS图像获得的arnRMSE为0.11,这意味着误差为65%。这项工作分析了许多蒸发蒸腾研究所造成的误差,这些误差将表面假定为朗伯型,并根据表面反射率加权平均值来估算反照率。

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    Global Change Unit, University of Valencia Science Park C/Catedrático José Beltrán 2, 46980 Paterna (Valencia) SPAIN Laboratory for Analysis of the Biosphere (L.A.B.), University of Chile Av. Santa Rosa 11315, La Pintana, Santiago, Chile E-mail: cristian.mattar@uv.es;

    Global Change Unit, University of Valencia Science Park C/Catedrático José Beltrán 2, 46980 Paterna (Valencia) SPAIN;

    Global Change Unit, University of Valencia Science Park C/Catedrático José Beltrán 2, 46980 Paterna (Valencia) SPAIN;

    Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, Milan, Italy;

    Global Change Unit, University of Valencia Science Park C/Catedrático José Beltrán 2, 46980 Paterna (Valencia) SPAIN;

    Laboratory for Analysis of the Biosphere (L.A.B.), University of Chile Av. Santa Rosa 11315, La Pintana, Santiago, Chile;

    Global Change Unit, University of Valencia Science Park C/Catedrático José Beltrán 2, 46980 Paterna (Valencia) SPAIN;

    Global Change Unit, University of Valencia Science Park C/Catedrático José Beltrán 2, 46980 Paterna (Valencia) SPAIN;

    Global Change Unit, University of Valencia Science Park C/Catedrático José Beltrán 2, 46980 Paterna (Valencia) SPAIN;

    Global Change Unit, University of Valencia Science Park C/Catedrático José Beltrán 2, 46980 Paterna (Valencia) SPAIN;

    Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, Milan, Italy;

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