Daily Evapotranspiration Mapping Using Regression Random Forest Models

Abstract

Efficient water management in agriculture requires an accurate estimation of evapotranspiration (ET). Even though local measurements can be used to estimate the components of the surface energy balance, these values cannot be extrapolated to large areas due to the heterogeneity and complexity of agricultural and natural land surfaces and the dynamic nature… (More)

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Cite this paper

@article{GonzaloMartx00EDn2017DailyEM, title={Daily Evapotranspiration Mapping Using Regression Random Forest Models}, author={Consuelo Gonzalo-Martx00EDn and Mario Lillo-Saavedra and Angel Garcx00EDa-Pedrero and Octavio Lagos and Ernestina Menasalvas}, journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, year={2017}, volume={10}, pages={5359-5368} }