Comparison of wood volume estimates of young trees from terrestrial laser scan data

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Comparison of wood volume estimates of young trees from terrestrial laser scan data. / Kunz, Matthias; Hess, Carsten; Raumonen, Pasi et al.
in: iForest - Biogeosciences and Forestry, Jahrgang 10, Nr. 2, 30.04.2017, S. 451-458.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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Kunz M, Hess C, Raumonen P, Bienert A, Hackenberg J, Maas HG et al. Comparison of wood volume estimates of young trees from terrestrial laser scan data. iForest - Biogeosciences and Forestry. 2017 Apr 30;10(2):451-458. doi: 10.3832/ifor2151-010

Bibtex

@article{ec7f9f5313224d269272b20dfd7880d7,
title = "Comparison of wood volume estimates of young trees from terrestrial laser scan data",
abstract = "Many analyses in ecology and forestry require wood volume estimates of trees. However, non-destructive measurements are not straightforward because trees are differing in their three-dimensional structures and shapes. In this paper we compared three methods (one voxel-based and two cylinder-based methods) for wood volume calculation of trees from point clouds obtained by terrestrial laser scanning. We analysed a total of 24 young trees, composed of four different species ranging between 1.79 m to 7.96 m in height, comparing the derived volume estimates from the point clouds with xylometric reference volumes for each tree. We found that both voxel- and cylinder-based approaches are able to compute wood volumes with an average accuracy above 90% when compared to reference volumes. The best results were achieved with the voxel-based method (r2 = 0.98). Cylinder-model based methods (r2 = 0.90 and 0.92 respectively) did perform slightly less well but offer valuable additional opportunities to analyse structural parameters for each tree. We found that the error of volume estimates from point clouds are strongly species-specific. Therefore, species-specific parameter sets for point-cloud based wood volume estimation methods are required for more robust estimates across a number of tree species.",
keywords = "Ecosystems Research, Mixed Forests, Quantitative Structure Models, Voxel-based, Xylometry",
author = "Matthias Kunz and Carsten Hess and Pasi Raumonen and Anne Bienert and Jan Hackenberg and Hans-Gerd Maas and Werner H{\"a}rdtle and Andreas Fichtner and {von Oheimb}, Goddert",
note = "Publisher Copyright: {\textcopyright} SISEF.",
year = "2017",
month = apr,
day = "30",
doi = "10.3832/ifor2151-010",
language = "English",
volume = "10",
pages = "451--458",
journal = "iForest - Biogeosciences and Forestry",
issn = "1971-7458",
publisher = "SISEF - Italian Society of Silviculture and Forest Ecology",
number = "2",

}

RIS

TY - JOUR

T1 - Comparison of wood volume estimates of young trees from terrestrial laser scan data

AU - Kunz, Matthias

AU - Hess, Carsten

AU - Raumonen, Pasi

AU - Bienert, Anne

AU - Hackenberg, Jan

AU - Maas, Hans-Gerd

AU - Härdtle, Werner

AU - Fichtner, Andreas

AU - von Oheimb, Goddert

N1 - Publisher Copyright: © SISEF.

PY - 2017/4/30

Y1 - 2017/4/30

N2 - Many analyses in ecology and forestry require wood volume estimates of trees. However, non-destructive measurements are not straightforward because trees are differing in their three-dimensional structures and shapes. In this paper we compared three methods (one voxel-based and two cylinder-based methods) for wood volume calculation of trees from point clouds obtained by terrestrial laser scanning. We analysed a total of 24 young trees, composed of four different species ranging between 1.79 m to 7.96 m in height, comparing the derived volume estimates from the point clouds with xylometric reference volumes for each tree. We found that both voxel- and cylinder-based approaches are able to compute wood volumes with an average accuracy above 90% when compared to reference volumes. The best results were achieved with the voxel-based method (r2 = 0.98). Cylinder-model based methods (r2 = 0.90 and 0.92 respectively) did perform slightly less well but offer valuable additional opportunities to analyse structural parameters for each tree. We found that the error of volume estimates from point clouds are strongly species-specific. Therefore, species-specific parameter sets for point-cloud based wood volume estimation methods are required for more robust estimates across a number of tree species.

AB - Many analyses in ecology and forestry require wood volume estimates of trees. However, non-destructive measurements are not straightforward because trees are differing in their three-dimensional structures and shapes. In this paper we compared three methods (one voxel-based and two cylinder-based methods) for wood volume calculation of trees from point clouds obtained by terrestrial laser scanning. We analysed a total of 24 young trees, composed of four different species ranging between 1.79 m to 7.96 m in height, comparing the derived volume estimates from the point clouds with xylometric reference volumes for each tree. We found that both voxel- and cylinder-based approaches are able to compute wood volumes with an average accuracy above 90% when compared to reference volumes. The best results were achieved with the voxel-based method (r2 = 0.98). Cylinder-model based methods (r2 = 0.90 and 0.92 respectively) did perform slightly less well but offer valuable additional opportunities to analyse structural parameters for each tree. We found that the error of volume estimates from point clouds are strongly species-specific. Therefore, species-specific parameter sets for point-cloud based wood volume estimation methods are required for more robust estimates across a number of tree species.

KW - Ecosystems Research

KW - Mixed Forests

KW - Quantitative Structure Models

KW - Voxel-based

KW - Xylometry

UR - http://www.scopus.com/inward/record.url?scp=85019560771&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/b4dc9a49-56ab-34d9-adf4-cbea1d767132/

U2 - 10.3832/ifor2151-010

DO - 10.3832/ifor2151-010

M3 - Journal articles

VL - 10

SP - 451

EP - 458

JO - iForest - Biogeosciences and Forestry

JF - iForest - Biogeosciences and Forestry

SN - 1971-7458

IS - 2

ER -

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