Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models
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 possibi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Finnish Society of Forest Science
2014-01-01
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| Series: | Silva Fennica |
| Online Access: | https://www.silvafennica.fi/article/1125 |
| _version_ | 1818495630069202944 |
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| author | Krooks, Anssi Kaasalainen, Sanna Kankare, Ville Joensuu, Marianna Raumonen, Pasi Kaasalainen, Mikko |
| author_facet | Krooks, Anssi Kaasalainen, Sanna Kankare, Ville Joensuu, Marianna Raumonen, Pasi Kaasalainen, Mikko |
| author_sort | Krooks, Anssi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T18:23:12Z |
| format | Article |
| id | doaj.art-fe16f6e6a4544a56981974416c2c8c94 |
| institution | Directory Open Access Journal |
| issn | 2242-4075 |
| language | English |
| last_indexed | 2024-12-10T18:23:12Z |
| publishDate | 2014-01-01 |
| publisher | Finnish Society of Forest Science |
| record_format | Article |
| series | Silva Fennica |
| spelling | doaj.art-fe16f6e6a4544a56981974416c2c8c942022-12-22T01:38:09ZengFinnish Society of Forest ScienceSilva Fennica2242-40752014-01-0148210.14214/sf.1125Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure modelsKrooks, AnssiKaasalainen, SannaKankare, VilleJoensuu, MariannaRaumonen, PasiKaasalainen, MikkoWe 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.https://www.silvafennica.fi/article/1125 |
| spellingShingle | Krooks, Anssi Kaasalainen, Sanna Kankare, Ville Joensuu, Marianna Raumonen, Pasi Kaasalainen, Mikko Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models Silva Fennica |
| title | Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models |
| title_full | Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models |
| title_fullStr | Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models |
| title_full_unstemmed | Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models |
| title_short | Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models |
| title_sort | predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models |
| url | https://www.silvafennica.fi/article/1125 |
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