Integrating Data science with Trees and Remote Sensing
Produce improved spatially explicit data on species and traits for ~50 million individual trees in the National Ecological Observatory Network (NEON; neonscience.org) using advanced machine learning techniques.
Disentangle the importance of processes driving species distribution, abundance, and biodiversity across scales, including cross-scale interactions.
Develop cross-scale models of tree structural traits and allometry that incorporate environmental variation and biological interactions to inform biomass estimation.