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首页> 外文期刊>Water >Implementation of a Two-Source Model for Estimating the Spatial Variability of Olive Evapotranspiration Using Satellite Images and Ground-Based Climate Data
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Implementation of a Two-Source Model for Estimating the Spatial Variability of Olive Evapotranspiration Using Satellite Images and Ground-Based Climate Data

机译:利用卫星图像和地面气候数据估算橄榄蒸发蒸腾空间变异的两源模型的实现

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摘要

A study was carried out to evaluate the potential use of the two-source Shuttleworth and Wallace (SW) model to compute the intra-orchard spatial variability of actual evapotranspiration (ET) of olive trees using satellite images and ground-based climate data. The study was conducted in a drip-irrigated olive orchard using satellite images (Landsat 7 ETM+), which were acquired on clear sky days during the main phenological stages (2009/10 growing season). The performance of the SW model was evaluated using instantaneous latent heat flux (LE) measurements that were obtained from an eddy correlation system. At the time of satellite overpass, the estimated values of net radiation ( Rn i ) and soil heat flux ( G i ) were compared with ground measurements from a four-way net radiometer and soil heat flux plates, respectively. The results indicated that the SW model subestimated instantaneous LE (W m ?2 ) and daily ET (mm d ?1 ), with errors of 12% and 10% of observed values, respectively. The root mean square error (RMSE) and mean absolute error (MAE) values for instantaneous LE were 26 and 20 W m ?2 , while those for daily values of ET were 0.31 and 0.28 mm d ?1 , respectively. Finally, the submodels computed Rn i and G i with errors of between 4.0% and 8.0% of measured values and with RMSE and MAE between 25 and 39 W m ?2 .
机译:进行了一项研究,以评估使用两源Shuttleworth and Wallace(SW)模型来利用卫星图像和地面气候数据来计算橄榄树的实际蒸散量(ET)的果园内空间变异性的潜在用途。这项研究是使用卫星图像(Landsat 7 ETM +)在滴灌的橄榄园中进行的,该图像是在主要物候期(2009/10生长季节)的晴朗天采集的。使用从涡流相关系统获得的瞬时潜热通量(LE)测量来评估SW模型的性能。在卫星立交时,分别将净辐射(Rn i)和土壤热通量(G i)的估计值与四向净辐射计和土壤热通量板的地面测量值进行了比较。结果表明,SW模型低估了瞬时LE(W m?2)和每日ET(mm d?1),误差分别为观测值的12%和10%。瞬时LE的均方根误差(RMSE)和平均绝对误差(MAE)值分别为26和20 W m?2,而ET的每日均方根误差分别为0.31和0.28 mm d?1。最后,子模型计算的Rn i和G i的误差介于测量值的4.0%至8.0%之间,而RMSE和MAE的误差介于25至39 W m?2之间。

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