The reliable quantification of daily evapotranspiration (ET) over vast croplands is a quest in many scholarly works aimed at the precise practice of water resources management. Remote sensing–based empirical and nonempirical models were developed to overcome large-scale quantification issues, which are usually experienced when using conventional approaches for the estimation of ET. The surface energy balance system (SEBS) model was used to quantify the daily ET in the arid/semi-arid over Wadi Ad-Dwaser, Saudi. SEBS input variables are parametrically sensitive and climatic dependent, and the model input/output dependencies are of high comprehensibility; therefore, the optimization analysis of SEBS input/output parameters is the target of the current research. SEBS inputs reciprocal inconsistencies were determined using the artificial neural network analysis, while the output dependencies on the daily ET estimation were mapped. Results demonstrated that the temperature and relative humidity are the most sensitive parameters to be considered in the routine crop monitoring procedure. SEBS output thematic maps showed the robust proportional correlation between the daily ET and the conducted temperature map. Moreover, the estimated daily ET was inversely correlated with the estimated cold sensible heat fluxes. The findings suggest systematic monitoring and forecasting procedures for efficient water-saving management plans in Saudi Arabia.

中文翻译：

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在干旱环境中使用遥感数据凭经验进行的每日蒸散的输入/输出不一致

在众多旨在精确管理水资源实践的学术著作中，人们都在寻求对广阔农田上每日蒸散量（ET）的可靠量化。开发了基于遥感的经验模型和非经验模型来克服大规模量化问题，这在使用常规方法估算ET时通常会遇到。表面能平衡系统（SEBS）模型用于量化沙特Wadi Ad-Dwaser干旱/半干旱地区的每日ET。SEBS输入变量具有参数敏感性和气候依赖性，并且模型输入/输出依赖性具有很高的可理解性。因此，SEBS输入/输出参数的优化分析是当前研究的目标。使用人工神经网络分析确定SEBS输入的互不一致性，同时映射对每日ET估计的输出依赖性。结果表明，温度和相对湿度是常规作物监测程序中要考虑的最敏感参数。SEBS输出的专题图显示了每日ET与进行的温度图之间的稳健的比例相关性。此外，估计的每日ET与估计的冷感热通量成反比。调查结果建议在沙特阿拉伯进行系统的监测和预报程序，以进行有效的节水管理计划。结果表明，温度和相对湿度是常规作物监测程序中要考虑的最敏感参数。SEBS输出的专题图显示了每日ET与进行的温度图之间的稳健的比例相关性。此外，估计的每日ET与估计的冷感热通量成反比。调查结果建议在沙特阿拉伯进行系统的监测和预报程序，以进行有效的节水管理计划。结果表明，温度和相对湿度是常规作物监测程序中要考虑的最敏感参数。SEBS输出的专题图显示了每日ET与进行的温度图之间的稳健的比例相关性。此外，估计的每日ET与估计的冷感热通量成反比。调查结果建议在沙特阿拉伯进行系统的监测和预报程序，以进行有效的节水管理计划。