A machine learning-based method to partition CO2 fluxes and understand the relationship between gross primary productivity and solar-induced chlorophyll fluorescence
Weiwei Zhan, Columbia University, Department of Earth and Environmental Engineering, New York, United States, Xi Yang, Brown University, Providence, United States, Youngryel Ryu, Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea, Benjamin Dechant, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany, Yu Huang, Columbia University, Earth and Environmental Engineering, New York, United States, Yves Goulas, Laboratoire de Météorologie Dynamique Palaiseau, Palaiseau Cedex, France, Minseok Kang, National Center for AgroMeteorology, Seoul, South Korea and Pierre Gentine, Columbia University, Department of Earth and Environmental Engineering, New York, NY, United States
