Understanding the correlation across land surface phenology datasets derived from satellite sensors with different spatial resolutions.
We develop the `pnetr` R package to implement the PhotosyNthesis and EvapoTranspiration (PnET) ecosystem models for ecosystem simulation and scientific hypothesis testing.
Landscape simulation and nature-based climate solutions.
This NASA-funded project aims to test the hypothesize that the divergent spring phenology trends in urban areas can be explained by the interaction between UHI-induced seasonal temperature changes and variable plant chilling requirements—the need of plants to be exposed to sufficiently low temperatures to release dormancy in spring.