Projects

Forest ecosystems rely on the fecundity of their trees to regenerate after dieback and disturbance. We are interested in quantifying fecundity variations at species, landscape, and global scales.

Phenology is the intra-annual rhythm of vegetation growth. We develop models to better quantify phenology changes in urban and natural environments.

Biodiversity supports human well-being with food, energy, and materials. We synthesize remote sensing with ecological data within a Bayesian framework to understand and predict biodiversity changes.

We are interested in how structural and functional composition changes of forest, dry land, and urban ecosystems influence carbon, water, and energy exchanges between the biosphere and atmosphere.

We aim to harness emerging frontiers in remote sensing and environmental data science to solve environmental and social issues.