Understanding the continuous phenological development at a daily time step with a Bayesian hierarchical space-time model: impacts of climate change and extreme weathers
A Bayesian hierarchical space-time model in characterizing the impacts of climate change and extreme weather events on land surface phenology
Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities
Characterizing Fog Inundation along a Topographic Gradient on a Tropical Island with Ground-Based Cameras
Deriving annual double-season cropland phenology using Landsat imagery
Is terrestrial vegetation greening persistent during 2000 to 2018?
Predicting land surface phenology from 2020 to 2099
Impacts of urbanization on vegetation phenology over the past three decades in Shanghai, China