DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information
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DOI: 10.1016/j.agrformet.2021.108582
Abstract: Abstract Accurate estimates of the spatiotemporal distribution of evapotranspiration (ET) are essential for understanding terrestrial energy, carbon and water cycles. Station-based observations are limited for their spatial coverage whereas satellite-derived ET products exhibit large discrepancies… read more here.
Keywords: satellite derived; deep neural; neural networks; dnn met ... See more keywords