Onni Pohjavirta
Papers
1
Total Citations
182
H-Index
1
About
Onni Pohjavirta is a leading researcher at the intersection of robotics, remote sensing, and forest ecology. His primary contributions lie in developing autonomous under-canopy UAV laser scanning systems, which have revolutionized forest field measurements by enabling precise, labor-efficient data collection in challenging environments. His landmark 2020 paper, “Under-canopy UAV laser scanning for accurate forest field measurements,” has garnered 182 citations, underscoring its influence on both surveying technology and ecological monitoring. Pohjavirta’s work bridges the gap between robotic navigation and forest inventory, addressing critical operational challenges such as obstacle avoidance and sensor integration beneath dense tree canopies. His research not only advances autonomous data collection but also supports sustainable forest management and climate change mitigation efforts. By pushing the boundaries of what drones can achieve in complex natural settings, Pohjavirta has become a key figure in the growing field of robotic-assisted environmental surveying. His achievements continue to inspire students and researchers exploring the convergence of robotics, AI, and ecological science.
Research Focus
Key Achievements
Top Papers
- 1Under-canopy UAV laser scanning for accurate forest field measurements182 citations · 2020