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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
Source :
Silva Fennica, Vol 48, Iss 2 (2014)
Publication Year :
2014
Publisher :
Finnish Society of Forest Science, 2014.

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.

Subjects

Subjects :
Forestry
SD1-669.5

Details

Language :
English
ISSN :
22424075
Volume :
48
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Silva Fennica
Publication Type :
Academic Journal
Accession number :
edsdoj.fe16f6e6a4544a56981974416c2c8c94
Document Type :
article
Full Text :
https://doi.org/10.14214/sf.1125