Spatially Downscaling a Global Evapotranspiration Product for End User Using a Deep Neural Network: A Case Study with the GLEAM Product
Long, X.; Cui, Y. Spatially Downscaling a Global Evapotranspiration Product for End User Using a Deep Neural Network: A Case Study with the GLEAM Product. Remote Sens. 2022, 14, 658. https://doi.org/10.3390/rs14030658
Long X, Cui Y. Spatially Downscaling a Global Evapotranspiration Product for End User Using a Deep Neural Network: A Case Study with the GLEAM Product. Remote Sensing. 2022; 14(3):658. https://doi.org/10.3390/rs14030658
Chicago/Turabian StyleLong, Xunjian, and Yaokui Cui. 2022. "Spatially Downscaling a Global Evapotranspiration Product for End User Using a Deep Neural Network: A Case Study with the GLEAM Product" Remote Sensing 14, no. 3: 658. https://doi.org/10.3390/rs14030658