Joshua Gray

Bio

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.

Publications

• Drought Changes Growing Season Length and Vegetation Productivity , (2024)
• From Satellites to Soil: Integrating Satellite and Household Survey Data to Assess the Impacts of Adaptations on Smallholder Farmers’ Climate Resilience , (2024)
• Overcoming Big Data Challenges in Satellite Observation: A Variable Resolution Scheme for Modeling Land Surface Phenology , (2024)
• Understanding the role of vegetation responses to drought in regulating autumn senescence , (2024)
• A multi-source change detection algorithm supporting user customization and near real-time deforestation detections , REMOTE SENSING OF ENVIRONMENT (2024)
• Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning , PLOS ONE (2024)
• Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products , REMOTE SENSING OF ENVIRONMENT (2024)
• Detecting Trajectories of Regime Shifts and Loss of Resilience in Coastal Wetlands using Remote Sensing , ECOSYSTEMS (2024)
• The role of rural circular migration in shaping weather risk management for smallholder farmers in India, Nepal, and Bangladesh , GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS (2024)
• Thermal Forcing Versus Chilling? Misspecification of Temperature Controls in Spring Phenology Models , GLOBAL ECOLOGY AND BIOGEOGRAPHY (2024)