Estimating missing hourly climatic data using artificial neural network for energy balance based ET mapping applications

Remote sensing based evapotranspiration ( ET ) mapping has become an important tool for water resources management at a regional scale. Accurate hourly climatic data and alfalfa‐reference ET ( ETr ) are crucial inputs for successfully implementing remote sensing based ET models such as Mapping Evapotranspiration at High Resolution with Internalized Calibration ( METRIC ) and Surface Energy Balance Algorithm for Land ( SEBAL ). In Turkey, hourly...