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首页> 外文期刊>Physics and chemistry of the earth >A simple method for estimation of evapotranspiration using remotely sensed data during vegetation period in Hungary
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A simple method for estimation of evapotranspiration using remotely sensed data during vegetation period in Hungary

机译:一种利用匈牙利植被期遥感数据估算蒸散量的简单方法

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摘要

The surface temperature measured by satellite cans be the basis of evapotranspiration (ET) computation. The possibility of the daily sum of the regional ET using surface temperature was examined under Hungarian weather conditions. A simplified relationship, namely ET_d - R_(nd) = a + b(T_c-T_a), which relates the daily ET to daily net radiation with one measurements of surface and air temperature was used for the calculation. Using NOAA AVHRR satellite data, no information about the surface inhomogeneity was obtained. The distribution of surface temperature was investigated by infrared thermometer scanning the surface from a board a hang-glider, ultra-light-aeroplane, and light aeroplane. Field observations trials were made during the vegetation period of 1992, 1993, 1994 and 1995. In eastern part of the country a homogeneous field (1 km * 1 km) and a larger, and relatively homogeneous area was scanned, before noon and afternoon. In the western part of the country, a much larger area (45 km * 45 km) was investigated. Cultivated area, forest and a large water surface were included in the investigated surface. The problems of calibration of hand-held infrared thermometer and the time shifting are discussed. Comparison of model output with data from field experiment has played a crucial role in model development and suggested an evaluation method.
机译:卫星罐测量的表面温度是蒸散量(ET)计算的基础。在匈牙利的天气条件下,研究了使用地表温度每日区域ET总量的可能性。计算时使用简化关系,即ET_d-R_(nd)= a + b(T_c-T_a),该关系将每日ET与每日净辐射与表面和空气温度的一次测量相关联。使用NOAA AVHRR卫星数据,未获得有关表面不均匀性的信息。表面温度的分布通过红外温度计从悬挂式滑翔机,超轻型飞机和轻型飞机的板上扫描表面来研究。在1992年,1993年,1994年和1995年的植被时期进行了野外观察试验。在该国东部,在中午和下午之前,对一个均匀的田野(1 km * 1 km)和一个较大且相对均匀的区域进行了扫描。在该国西部,调查了更大的区域(45公里* 45公里)。耕地,森林和大水面都包括在调查的表层中。讨论了手持式红外测温仪的校准和时移问题。模型输出与现场实验数据的比较在模型开发中起着至关重要的作用,并提出了一种评估方法。

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