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Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images

机译:METRIC模型使用Landsat-8影像估算沙特阿拉伯灌溉田的蒸散通量的性能

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Accurate estimation of evapotranspiration (ET) is essential for hydrological modeling and efficient crop water management in hyper-arid climates. In this study, we applied the METRIC algorithm on Landsat-8 images, acquired from June to October?2013, for the mapping of ET of a 50?ha center-pivot irrigated alfalfa field in the eastern region of Saudi Arabia. The METRIC-estimated energy balance components and ET were evaluated against the data provided by an eddy covariance (EC) flux tower installed in the field. Results indicated that the METRIC algorithm provided accurate ET estimates over the study area, with RMSE values of 0.13 and 4.15?mm?dsup?1/sup. The METRIC algorithm was observed to perform better in full canopy conditions compared to partial canopy conditions. On average, the METRIC algorithm overestimated the hourly ET by 6.6?% in comparison to the EC measurements; however, the daily ET was underestimated by 4.2?%.
机译:准确估算蒸散量(ET)对于高干旱气候中的水文模拟和有效的作物水管理至关重要。在这项研究中,我们将METRIC算法应用于2013年6月至10月获取的Landsat-8图像上,以绘制沙特阿拉伯东部地区50公顷中心枢轴灌溉的苜蓿田的ET。 METRIC估算的能量平衡组件和ET是根据现场安装的涡动协方差(EC)通量塔提供的数据进行评估的。结果表明,METRIC算法在研究区域内提供了准确的ET估计值,RMSE值为0.13和4.15?mm?d ?1 。观察到METRIC算法在完全冠层条件下比部分冠层条件下表现更好。与EC测量值相比,METRIC算法平均将每小时ET高估了6.6%。但是,每天的ET被低估了4.2%。

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