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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:利用Landsat-8图像估算沙特阿拉伯灌溉场蒸发源的度量模型的性能

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摘要

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 d(-1). 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:准确估计蒸散散热(ET)对于超干旱气候的水文建模和有效的作物水管理是必不可少的。 在这项研究中,我们在2013年6月到2013年6月收购的土地算法,为2013年6月收购,为沙特阿拉伯东部地区的50公顷中心灌溉苜蓿域的映射。 根据安装在该领域的涡流协方差(EC)磁通塔提供的数据评估公制估计的能量平衡分量和ET。 结果表明,公制算法在研究区域提供了精确的ET估计,RMSE值为0.13和4.15mm d(-1)。 与部分遮篷条件相比,观察到公制算法在完全冠层条件下表现更好。 平均而言,与EC测量相比,公制算法高估了6.6%的每小时ET; 然而,每日ET低估4.2%。

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