Massive-scale tree modelling from TLS data

P. Raumonen, E. Casella, K. Calders, S. Murphy, M. Åkerblom, M. Kaasalainen

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

109 Citations (Scopus)


This paper presents a method for reconstructing automatically the quantitative structure model of every tree in a forest plot from terrestrial laser scanner data. A new feature is the automatic extraction of individual trees from the point cloud. The method is tested with a 30-m diameter English oak plot and a 80-m diameter Australian eucalyptus plot. For the oak plot the total biomass was overestimated by about 17 %, when compared to allometry (N = 15), and the modelling time was about 100 min with a laptop. For the eucalyptus plot the total biomass was overestimated by about 8.5 %, when compared to a destructive reference (N = 27), and the modelling time was about 160 min. The method provides accurate and fast tree modelling abilities for, e.g., biomass estimation and ground truth data for airborne measurements at a massive ground scale.
Original languageEnglish
Title of host publicationProceedings of the ISPRS Annals
Publication statusPublished - 2015
EventISPRS, Munich, Germany -
Duration: 25 Mar 201527 Mar 2015


ConferenceISPRS, Munich, Germany


  • Automatic tree extraction
  • Biomass
  • Eucalyptus
  • Forest plot
  • Ground truth
  • LiDAR
  • Oak
  • Quantitative structure models


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