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首页> 外文期刊>Revista Brasileira de Meteorologia >Aplica??o do algoritmo S-SEBI na obten??o da evapotranspira??o diária em condi??es áridas
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Aplica??o do algoritmo S-SEBI na obten??o da evapotranspira??o diária em condi??es áridas

机译:S-SEBI算法在干旱条件下获得日蒸散量的应用

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摘要

The main objective of this study was to determine the daily actual evapotranspiration (ETr) of the tamarisk vegetation through micrometeorological and remote sensing techniques and to validate the results of ETr obtained by remote sensing. Micrometeorological data to obtain the daily ETr of the tamarisk vegetation in the Lower Colorado River, CA/USA provided by the Bowen ratio method, besides of the S-SEBI algorithm applied to TM Landsat-5 images were used. For obtaining the reference evapotranspiration (ET0) the weather station data were used and the FAO /Penman-Monteith method was applied. It was observed that the estimates of ETr by S-SEBI algorithm are similar to the measured values by the Bowen ratio method, as well as, that the identification of the vegetation dynamics through the spatial distribution of the evapotranspiration evidences the method applicability in obtaining the daily actual evapotranspiration.
机译:这项研究的主要目的是通过微气象和遥感技术确定柳植物的每日实际蒸散量(ETr),并验证通过遥感获得的ETr结果。除了使用适用于TM Landsat-5图像的S-SEBI算法外,还使用Bowen比率法提供的微气象数据,以获取美国/美国CA / USA科罗拉多河下游的柳杉植被的每日ETr。为了获得参考蒸散量(ET0),使用了气象站数据,并应用了FAO / Penman-Monteith方法。观察到,通过S-SEBI算法对ETr的估计与通过Bowen比率法测得的值相似,并且通过蒸散量的空间分布对植被动态的识别证明了该方法在获得土壤蒸腾量方面的适用性。每日实际蒸散量。

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