Evaluating Machine Learning Approaches for Evapotranspiration Estimation in the Pampean Region of Argentina
2020 IEEE Congreso Bienal de Argentina (ARGENCON)(2020)
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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