Area of research
Ecology · Global and Planetary Change
Research interest
Research interests include Remote Sensing in Agriculture, Land Use and Ecosystem Services, Species Distribution and Climate Change, and Plant Water Relations and Carbon Dynamics.
Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products
Thermal Forcing Versus Chilling? Misspecification of Temperature Controls in Spring Phenology Models
Observations of Satellite Land Surface Phenology Indicate That Maximum Leaf Greenness Is More Associated With Global Vegetation Productivity Than Growing Season Length
Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery
Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product
Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products
An Empirical Assessment of the MODIS Land Cover Dynamics and TIMESAT Land Surface Phenology Algorithms
Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery
Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery
Exploration of scaling effects on coarse resolution land surface phenology
Multisite analysis of land surface phenology in North American temperate and boreal deciduous forests from Landsat
A new seasonal‐deciduous spring phenology submodel in the Community Land Model 4.5: impacts on carbon and water cycling under future climate scenarios
Net carbon uptake has increased through warming-induced changes in temperate forest phenology
Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery
Mapping Crop Cycles in China Using MODIS-EVI Time Series
A tale of two springs: using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change
Mapping Asian Cropping Intensity With MODIS
Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery