A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models
Tekijät: Krooks, Anssi; Kaasalainen, Sanna; Kankare, Ville; Joensuu, Marianna; Raumonen, Pasi; Kaasalainen, Mikko
Kustantaja: FINNISH SOC FOREST SCIENCE-NATURAL RESOURCES INST FINLAND
Kustannuspaikka: VANTAA
Julkaisuvuosi: 2014
Journal: Silva Fennica
Tietokannassa oleva lehden nimi: SILVA FENNICA
Lehden akronyymi: SILVA FENN
Artikkelin numero: 1125
Vuosikerta: 48
Numero: 2
Sivujen määrä: 11
ISSN: 0037-5330
eISSN: 2242-4075
DOI: https://doi.org/10.14214/sf.1125
Tiivistelmä
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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