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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Estimating evapotranspiration of European forests from NOAA-imagery at satellite overpass time: Towards an operational processing chain for integrated optical and thermal sensor data products
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Estimating evapotranspiration of European forests from NOAA-imagery at satellite overpass time: Towards an operational processing chain for integrated optical and thermal sensor data products

机译：通过卫星越区时间估算来自NOAA影像的欧洲森林的蒸散量：建立集成光学和热传感器数据产品的操作处理链

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Evapotranspiration (ET) using the Integral NOAA-imagery processing Chain (iNOAA-Chain) is quantified by implementing visible and thermal satellite information on a regional scale. ET is calculated based on the energy balance closure principle, The combination of evaporative fraction (EF), soil heat flux and instantaneous net radiation, results in an instantaneous spatial distribution of ET values, Surface broadband albedo and land surface temperature (LST) serve to determine EF. EF is derived using four methods based on NOAA/AVHRR satellite imagery. Instantaneous evapotranspiration, i.e. at time of satellite overpass, on European continental scale with emphasis on forest stands is estimated using the iNOAA-Chain, Finally, the estimated net radiation (R-n), soil heat fluxes (G(0)) and evaporative fraction and evapotranspiration at time of satellite overpass are validated against EUROFLUX site data for the growing season of 1997 (March-October). The regression line for the pooled R,, (iNOAA-Chain versus EUROFLUX) has a slope, intercept, Pearson product moment correlation coefficient (R-2) and relative root mean square error (RRMSE) of respectively 0.943, 17.120, 0,926 and 5.5%, The soil heat fluxes, calculated with two approaches are not well modelled with slopes smaller than -3.000 and a R2 in the order of zero. We observe a slight underestimation of the NOAA-Chain estimated EF. The regression line for pooled EF data for the best performing method (SPLIT-method) has a slope of 0.935, an intercept of 0.041 and the R-2 is 0.847. A pooled RRMSE EF value of 12.3% is found. The pooled slope, intercept, R2 and RRMSE for EF derived with SORT-method 1 are respectively 0.449, 0.251, 0.043 and 65.1%, with SORT-method 2, 0.567, 0,203, 0.174 and 39.1%, and with SORT-method 3, 0.568, 0.254, 0.288, and 32.8%. Also instantaneous evapotranspiration is underestimated with a pooled RRMSE on ET of 23.4%. The regression curve of pooled ET data for the best performing method has a slope of 0.899 an intercept of 15.880 and a Pearson product moment correlation coefficient of 0.771. The other method gives a slope of 0.781, an intercept of 17.541 and a R2 of 0.776. Error propagation analysis reveals that the relative error on evapotranspiration at satellite overpass time is at least 27%. (c) 2005 Elsevier Inc. All rights reserved.
机译：通过在区域范围内实施可见和热卫星信息来量化使用整体NOAA图像处理链（iNOAA链）的蒸发蒸腾量（ET）。 ET是根据能量平衡闭合原理计算的，蒸发分数（EF），土壤热通量和瞬时净辐射的组合导致ET值的瞬时空间分布，地表宽带反照率和地表温度（LST）确定EF。 EF是根据NOAA / AVHRR卫星图像使用四种方法得出的。利用iNOAA链估算瞬时的蒸散量，即卫星越境时在欧洲大陆规模上的重点是林分，最后，估算的净辐射（Rn），土壤热通量（G（0））和蒸发分数以及根据EUROFLUX站点数据（1997年3月至10月）验证了卫星立交时的蒸散量。合并的R i的回归线（iNOAA链对EUROFLUX）的斜率，截距，皮尔逊乘积矩相关系数（R-2）和相对均方根误差（RRMSE）分别为0.943、17.120、0,926和5.5 ％，用两种方法计算的土壤热通量不能很好地模拟坡度小于-3.000且R2为零的情况。我们观察到NOAA链估算的EF略有低估。对于最佳执行方法（SPLIT方法），合并的EF数据的回归线的斜率为0.935，截距为0.041，R-2为0.847。发现合并的RRMSE EF值为12.3％。采用SORT方法1得出的EF的合并斜率，截距，R2和RRMSE分别为0.449、0.251、0.043和65.1％，SORT方法2、0.567、0,203、0.174和39.1％，以及SORT方法3， 0.568、0.254、0.288和32.8％。另外，瞬时蒸散量也被低估，ET的总RRMSE为23.4％。对于最佳性能方法，汇总的ET数据的回归曲线的斜率为0.899，截距为15.880，皮尔逊乘积矩相关系数为0.771。另一种方法给出的斜率为0.781，截距为17.541，R2为0.776。误差传播分析表明，卫星越境时间蒸发蒸腾的相对误差至少为27％。 （c）2005 Elsevier Inc.保留所有权利。

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