Evaluating Machine Learning Approaches for Evapotranspiration Estimation in the Pampean Region of Argentina

2020 IEEE Congreso Bienal de Argentina (ARGENCON)(2020)

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摘要
Evapotranspiration is an important indicator for the management and planning of water resources. The estimation of evapotranspiration is usually done trough bio-physical modeling, which requires the observation of multiple variables as well as the definition of the corresponding equations. In this paper, we evaluate the use of supervised machine learning as a strategy to get estimates of evapotran...
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关键词
Temperature dependence,Temperature,Satellites,Predictive models,Tools,Soil,Mathematical model
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