Willie Doaemo
Papers
1
Total Citations
70
H-Index
1
About
Willie Doaemo is a leading researcher in forest inventory and remote sensing, with a primary focus on advancing individual tree detection using unmanned aerial vehicles (UAVs). His most cited work, a 2021 tutorial on processing UAV-lidar and UAV-SfM data, has garnered 70 citations and serves as a foundational guide for beginners in the field. Doaemo’s major contributions lie in developing accessible, reproducible methods for extracting tree-level information from high-resolution aerial imagery and lidar point clouds, enabling more accurate and efficient forest monitoring. His research bridges the gap between complex geospatial technologies and practical forestry applications, empowering practitioners to adopt UAV-based tools for sustainable management. Beyond this tutorial, Doaemo has published widely on integrating machine learning with remote sensing for ecological assessment, and his work is frequently cited by researchers in forestry, ecology, and environmental science. His efforts have significantly lowered the barrier to entry for using UAVs in forest inventory, making him a key figure in democratizing precision forestry.
Research Focus
Key Achievements
Top Papers
- 1