A1 Refereed original research article in a scientific journal
Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models
Authors: Krooks, Anssi; Kaasalainen, Sanna; Kankare, Ville; Joensuu, Marianna; Raumonen, Pasi; Kaasalainen, Mikko
Publisher: FINNISH SOC FOREST SCIENCE-NATURAL RESOURCES INST FINLAND
Publishing place: VANTAA
Publication year: 2014
Journal: Silva Fennica
Journal name in source: SILVA FENNICA
Journal acronym: SILVA FENN
Article number: 1125
Volume: 48
Issue: 2
Number of pages: 11
ISSN: 0037-5330
eISSN: 2242-4075
DOI: https://doi.org/10.14214/sf.1125
Abstract
We apply quantitative structure modelling to produce detailed information on branch-level metrics in trees. Particularly we are interested in the branch size distribution, by which we mean the total volume of branch parts distributed over the diameter classes of the parts. We investigate the possibility of predicting tree branch size distributions for trees in similar growing conditions. The quantitative structure model enables for the first time the comparisons of structure between a large number of trees. We found that the branch size distribution is similar for trees of different height in similar growing conditions. The results suggest that tree height could be used to estimate branch size distribution in areas with similar growing conditions and topography.
We apply quantitative structure modelling to produce detailed information on branch-level metrics in trees. Particularly we are interested in the branch size distribution, by which we mean the total volume of branch parts distributed over the diameter classes of the parts. We investigate the possibility of predicting tree branch size distributions for trees in similar growing conditions. The quantitative structure model enables for the first time the comparisons of structure between a large number of trees. We found that the branch size distribution is similar for trees of different height in similar growing conditions. The results suggest that tree height could be used to estimate branch size distribution in areas with similar growing conditions and topography.
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