Testing the performance of a thermal-based crop coefficient technique in Idaho as a fundamental study for global ET estimation
Testing the performance of a thermal-based crop coefficient technique in Idaho as a fundamental study for global ET estimation
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在爱达荷州测试基于热的作物系数技术的性能，作为全球蒸散估算的基础研究
DOI：
10.2480/agrmet.69.3.5
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发表时间：
2013
影响因子：
1.3
通讯作者：
M. Tasumi
中科院分区：
文献类型：
--
作者：
Aiko Fujii;M. Tasumi
蒸散发是灌溉水资源规划和管理的关键因素之一。对蒸散发的准确估计有助于更好地进行灌溉规划、调度和水的性能评估。作为开发全球蒸散发估算方法的基础研究，研究了基于热的作物系数技术估算灌溉农田区域蒸散发的性能。研究区域为美国爱达荷州南部的魔谷灌溉农业区。使用陆地卫星表面温度图像作为输入数据。利用基于热量的作物系数技术估算了2000年主要种植季（3 ~ 10月）的蒸散发，并通过比较METRIC能量平衡模型的输出来评价该技术的性能。季节蒸散量的均方根差为76 mm，相当于参考蒸散量的7%。基于热系数的作物系数技术的表现因作物类型而有所差异。基于热的作物系数法在区域尺度上提供了合理的ET信息。该方法结构简单，对输入数据的要求最小，在整个研究过程中评估了该方法在全球范围内的应用潜力。在整个研究过程中，还确定了该方法中关键温度参数的一些重要特征。这些发现对未来估计过程的自动化是有用的，这是在全球范围内应用该方法所必需的。
Evapotranspiration (ET) is one of the key factors in the planning and management of irrigation water resources. Accurate estimation of ET enables better irrigation planning, scheduling, and performance evaluation of water. As a fundamental study for developing a global ET estimation method, the performance of a thermal-based crop coefficient technique to estimate regional evapotranspiration in irrigated agricultural fields was examined. The study area was the Magic Valley irrigated agricultural region in southern Idaho, USA. Landsat surface temperature images were used as input data. ET in the main cultivation season (March to October) of the year 2000 was estimated using a thermal-based crop coefficient technique, and the performance of the technique was evaluated by comparing the outputs of the METRIC energy balance model. The root mean square difference in seasonal ET was 76 mm, which was equivalent to 7% of the reference ET. The performance of the thermal-based crop coefficient technique showed some differences according to the crop type. The thermal-based crop coefficient method provides reasonable ET information on a regional scale. With a simple structure and minimum requirement of input data, it was evaluated throughout this study that the method has potential for application on a global scale. Some important characteristics of the key temperature parameters in the method were also identified throughout this research. The findings are useful in future automation of the estimation procedure, which is necessary upon applying the method on a global scale.
影响因子：
2.7
作者：
Kimura, R.
通讯作者：
Kimura, R.