• Recurrent Neural Networks for Modelling Gross Primary Production 

      Montero D.; Mahecha M.D.; Martinuzzi F.; Aybar C.; Klosterhalfen A.; Knohl A.; Koebsch F.; Anaya J.; Wieneke S. (The Institute of Electrical and Electronics Engineers, Geoscience and Remote Sensing Society (GRSS)Ingeniería AmbientalFacultad de Ingenierías, 2024)
      Accurate quantification of Gross Primary Production (GPP) is crucial for understanding terrestrial carbon dynamics. It represents the largest atmosphere-to-land CO2 flux, especially significant for forests. Eddy Covariance ...