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

• A multi-source change detection algorithm supporting user customization and near real-time deforestation detections , REMOTE SENSING OF ENVIRONMENT (2024)
• Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products , REMOTE SENSING OF ENVIRONMENT (2024)
• 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)
• 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)
• Understanding the role of vegetation responses to drought in regulating autumn senescence , (2024)
• Assessment of Performance of Tree-Based Algorithms to Reduce Errors of Omisssion and Commission in Change Detection , IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (2023)
• Machine learning approach for modeling daily pluvial flood dynamics in agricultural landscapes , ENVIRONMENTAL MODELLING & SOFTWARE (2023)
• Observations of Satellite Land Surface Phenology Indicate That Maximum Leaf Greenness Is More Associated With Global Vegetation Productivity Than Growing Season Length , GLOBAL BIOGEOCHEMICAL CYCLES (2023)