WP1 New method for the assessment of canopy, branch allometry, stem volume and quality
Research Group: WP Leader: Johan Holmgren (SLU). Collaborators: Kenneth Olofsson (SLU), Gerhard Scheepers (RISE: Wood technology), PhD1, PhD2, Postdoc1, Svea Skog, SCA
We are using airborne laser scanning to delineate tree crowns and estimate tree positions together with tree height. Branch level information are also obtained from laser scanners mounted on drones and operated in commercial forests. We develop models which use high-resolution airborne laser scanning and below canopy scanning laser scanning in conjunction. Tree-level fusion of above/below canopy measurements will be used to create models for estimation of wood quality. Algorithms will be used to detect branches and model their geometry from above/below canopy laser scanning. Algorithms are developed to model stem attributes, such as stem volume, stem straightness, and branch attachments using below canopy laser scanning. Samples will be used to create models that relate metrics derived from remote sensing to wood quality.