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Lei Ma
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
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
Intercomparison and analysis of terrestrial biospheric products at the United States Greenhouse Gas Center
Monitoring Annual Net Forest Carbon to Inform University Sustainability Goals
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
The 2023 Canadian Heat-drought Enhances Net Forest CO2 Uptake Via Reduced Respiration
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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