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Taejin Park
NASA Ames Research Center/Bay Area Environmental Research InstituteMeeting roles in:
Harnessing High-Resolution Multispectral and LiDAR Data for Accurate Urban Tree Cover Mapping and Informed Sustainable Planning
Geospatial Database Mining for Multi-Resolution Pre and Post-Fire 3D Height Metrics Generation from USGS 3DEP Lidar Data in California
Continuous disturbance induced forest loss accelerates forest edge expansion in the U.S.
Wall-to-Wall Individual Tree Mapping Using High-Resolution Remote Sensing and AI for Statewide Forest Health and Management
Antarctic Greening and Its Drivers
A 20-Year Tree Cover Product (2000–2019) at 30 m Resolution Across Mexico Using Landsat Time Series, G-LiHT LiDAR, and Machine Learning
High Resolution Land Cover Mapping at Large Scale Through AI and Multi-source Data Integration
Building California-tailored disturbance monitoring system using long-term and continuous Landsat data
California-wide High-Resolution Building Footprint Mapping Using Scalable Deep Learning
Mapping Crop Type and Land Cover at High Resolution Without Labels Using Variational Bayesian Gaussian Mixture Model and Multi-Temporal PlanetScope Imagery
A Hypertemporal Geostationary Satellite-Based Cloud Mask Dataset for Semantic Segmentation
Lagged Impacts of Atmospheric Rivers on Western U.S. Wildfire Characteristics and Emissions
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