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Pratima K C
NASA Ames Research CenterMeeting roles in:
Geospatial Database Mining for Multi-Resolution Pre and Post-Fire 3D Height Metrics Generation from USGS 3DEP Lidar Data in California
Wall-to-Wall Individual Tree Mapping Using High-Resolution Remote Sensing and AI for Statewide Forest Health and Management
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
Co-developing California’s Land Monitoring System for Wildfire and Ecosystem Resilience through Interagency Collaboration, Remote Sensing, and Data Innovation
Autocorrelation, not ecological context, drives tree mortality forecasts at continental scale
Mapping Tree Mortality and Burn Severity Using Deep Learning: A Case Study on the 2020 Creek Fire
A Hypertemporal Geostationary Satellite-Based Cloud Mask Dataset for Semantic Segmentation
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