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George Hurtt
University of Maryland College ParkMeeting roles in:
Monitoring Tree Planting Progress with Aerial Imagery and AI-Assisted New Tree Detection to Support Maryland’s Five Million Trees Initiative
Carbon Monitoring Systems Research and Applications I Oral
Lateral Carbon Fluxes from Land to Rivers using Ecosystem Demography Modeling and Land-Use Change Datasets
DeepED: A Deep Learning Emulator for Uncovering Ecosystem Tipping Points under Intermediate Climate Scenarios
Carbon Monitoring Systems Research and Applications II Poster
The effects of global climate change on forest carbon sequestration potential
Intercomparison and analysis of terrestrial biospheric products at the United States Greenhouse Gas Center
Monitoring Annual Net Forest Carbon to Inform University Sustainability Goals
Constraining forest net ecosystem production using lidar remote sensing observations and mechanistic ecosystem modeling
Carbon Monitoring Systems Research and Applications III Oral
AI-Driven Remote Sensing of Forest Dynamics and Tree Mortality in Semi-Arid Ecosystems
Knowledge-guided machine learning to enhance ecosystem carbon estimation with in-situ observations
Carbon Monitoring Systems Research and Applications IV Oral
Integrating Atmospheric Measurements and Ecosystem Modeling to Improve Forest Carbon Flux Estimates and Guide Airborne Campaigns
Harmonized Historical and Future Land-Use Forcing for Global Carbon and Climate Models
Next Generation Forest Carbon Monitoring and Modeling Using Satellite Laser Altimetry
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