Josh uses geospatial analytics to understand how land use and vegetation dynamics interact with the climate system to produce changes in water and carbon cycles, particularly in managed lands like croplands and timber plantations. He develops remote sensing algorithms that blend imagery from multiple Earth-orbiting satellites to improve time series datasets for studies of phenological change. His interests also include remote sensing with Unmanned Aerial Systems (UAS) and big-data geocomputation.
Roles
Publications
- Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery (2020)
- An Empirical Assessment of the MODIS Land Cover Dynamics and TIMESAT Land Surface Phenology Algorithms (2019)
- Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product (2019)
- Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products (2019)
- Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery (2018)
- Intra-annual phenology for detecting understory plant invasion in urban forests (2018)
- The managed clearing: An overlooked land-cover type in urbanizing regions? (2018)
- Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery (2018)
- Comparing quantity, allocation and configuration accuracy of multiple land change models (2017)
- Exploration of scaling effects on coarse resolution land surface phenology (2017)