The University of Queensland
Glen Eaton is a PhD candidate with the School of the Environment at The University of Queensland. His research focuses on automating local to regional scale forest biomass inventory and monitoring with UAV LiDAR and satellite data. Eaton completed his Bachelor of Arts (Hons) with double major in geography at The University of Queensland in 2003. He has worked professionally in the geospatial industry for 20 years.
Eaton has 15 years of experience in production and management of mobile, terrestrial, and airborne LiDAR data products. He also has 5 years of experience as an international geospatial consultant for operations and management of LiDAR production. While having a wide experience with many industry sectors that utilize LiDAR data, forestry and vegetation mapping has become his area of specialty. Eaton hopes his research will contribute to larger scale usability of UAV data for validation of satellite products.
Project Title: Automating individual tree-scale aboveground biomass inventory and monitoring at local to regional scales with drone LiDAR and satellite data