Showing results 1 to 5 of 5
Title | Author(s) | Issue Date | Views | |
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2021 | ||||
DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information Journal:Agricultural and Forest Meteorology | 2021 | |||
2018 | ||||
2014 | ||||
2014 | 48 |