Patrick Corey Green
Papers
1
Total Citations
24
H-Index
1
About
Patrick Corey Green is a leading researcher at the intersection of robotics, computer vision, and environmental science, with a primary focus on autonomous aerial systems for forestry and ecological monitoring. His most influential work, "UAVs for forestry: Metric-semantic mapping and diameter estimation with autonomous aerial robots" (2024), has already garnered 24 citations, signaling its rapid impact on the field. In this landmark study, Green pioneered the integration of metric-semantic mapping into unmanned aerial vehicles (UAVs), enabling drones to autonomously navigate complex forest environments while accurately estimating tree diameters—a critical metric for biomass assessment and sustainable forest management. This contribution bridges the gap between robotic perception and practical forestry applications, offering a scalable, non-invasive alternative to traditional ground-based surveys. Green’s work is notable for its interdisciplinary approach, combining state-of-the-art SLAM algorithms with deep learning for semantic segmentation, and has been recognized for its potential to revolutionize precision forestry. His research not only advances autonomous navigation in unstructured environments but also provides actionable tools for climate change mitigation and conservation, making him a rising figure in both robotics and environmental science communities.
Research Focus
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Top Papers
- 1