Can Zhang

Machine learning-based multi-scale dynamics of terrestrial carbon fluxes and their environmental drivers along the U.S. East Coast

A large-scale carbon flux estimation model for the U.S. East Coast was developed based on long-term eddy covariance observations and the analysis of environmental variable importance reveals that EVI is the most important variations in carbon fluxes across all ecosystems, underscoring that vegetation growth status is t...