A Voxel-based technique to estimate the volume of trees from terrestrial laser scanner data

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A Voxel-based technique to estimate the volume of trees from terrestrial laser scanner data. / Bienert, A.; Hess, Christiane; Maas, H. G. et al.
In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 40, No. 5, 05.06.2014, p. 101-106.

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@article{d866f47df41e486785c3a8693d624586,
title = "A Voxel-based technique to estimate the volume of trees from terrestrial laser scanner data",
abstract = "The precise determination of the volume of standing trees is very important for ecological and economical considerations in forestry. If terrestrial laser scanner data are available, a simple approach for volume determination is given by allocating points into a voxel structure and subsequently counting the filled voxels. Generally, this method will overestimate the volume. The paper presents an improved algorithm to estimate the wood volume of trees using a voxel-based method which will correct for the overestimation. After voxel space transformation, each voxel which contains points is reduced to the volume of its surrounding bounding box. In a next step, occluded (inner stem) voxels are identified by a neighbourhood analysis sweeping in the X and Y direction of each filled voxel. Finally, the wood volume of the tree is composed by the sum of the bounding box volumes of the outer voxels and the volume of all occluded inner voxels. Scan data sets from several young Norway maple trees (Acer platanoides) were used to analyse the algorithm. Therefore, the scanned trees as well as their representing point clouds were separated in different components (stem, branches) to make a meaningful comparison. Two reference measurements were performed for validation: A direct wood volume measurement by placing the tree components into a water tank, and a frustum calculation of small trunk segments by measuring the radii along the trunk. Overall, the results show slightly underestimated volumes (-0.3% for a probe of 13 trees) with a RMSE of 11.6% for the individual tree volume calculated with the new approach.",
keywords = "Point cloud, Terrestrial laser scanning, Tree, Volume estimation, Voxel, Ecosystems Research, Biology",
author = "A. Bienert and Christiane Hess and Maas, {H. G.} and {Von Oheimb}, Goddert",
year = "2014",
month = jun,
day = "5",
doi = "10.5194/isprsarchives-XL-5-101-2014",
language = "English",
volume = "40",
pages = "101--106",
journal = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives",
issn = "1682-1750",
publisher = "Leibniz Universit{\"a}t Hannover",
number = "5",
note = "ISPRS Technical Commission V Symposium 2014 : Close-range imaging, ranging and applications, ISPRS2014 ; Conference date: 23-06-2014 Through 25-06-2014",

}

RIS

TY - JOUR

T1 - A Voxel-based technique to estimate the volume of trees from terrestrial laser scanner data

AU - Bienert, A.

AU - Hess, Christiane

AU - Maas, H. G.

AU - Von Oheimb, Goddert

PY - 2014/6/5

Y1 - 2014/6/5

N2 - The precise determination of the volume of standing trees is very important for ecological and economical considerations in forestry. If terrestrial laser scanner data are available, a simple approach for volume determination is given by allocating points into a voxel structure and subsequently counting the filled voxels. Generally, this method will overestimate the volume. The paper presents an improved algorithm to estimate the wood volume of trees using a voxel-based method which will correct for the overestimation. After voxel space transformation, each voxel which contains points is reduced to the volume of its surrounding bounding box. In a next step, occluded (inner stem) voxels are identified by a neighbourhood analysis sweeping in the X and Y direction of each filled voxel. Finally, the wood volume of the tree is composed by the sum of the bounding box volumes of the outer voxels and the volume of all occluded inner voxels. Scan data sets from several young Norway maple trees (Acer platanoides) were used to analyse the algorithm. Therefore, the scanned trees as well as their representing point clouds were separated in different components (stem, branches) to make a meaningful comparison. Two reference measurements were performed for validation: A direct wood volume measurement by placing the tree components into a water tank, and a frustum calculation of small trunk segments by measuring the radii along the trunk. Overall, the results show slightly underestimated volumes (-0.3% for a probe of 13 trees) with a RMSE of 11.6% for the individual tree volume calculated with the new approach.

AB - The precise determination of the volume of standing trees is very important for ecological and economical considerations in forestry. If terrestrial laser scanner data are available, a simple approach for volume determination is given by allocating points into a voxel structure and subsequently counting the filled voxels. Generally, this method will overestimate the volume. The paper presents an improved algorithm to estimate the wood volume of trees using a voxel-based method which will correct for the overestimation. After voxel space transformation, each voxel which contains points is reduced to the volume of its surrounding bounding box. In a next step, occluded (inner stem) voxels are identified by a neighbourhood analysis sweeping in the X and Y direction of each filled voxel. Finally, the wood volume of the tree is composed by the sum of the bounding box volumes of the outer voxels and the volume of all occluded inner voxels. Scan data sets from several young Norway maple trees (Acer platanoides) were used to analyse the algorithm. Therefore, the scanned trees as well as their representing point clouds were separated in different components (stem, branches) to make a meaningful comparison. Two reference measurements were performed for validation: A direct wood volume measurement by placing the tree components into a water tank, and a frustum calculation of small trunk segments by measuring the radii along the trunk. Overall, the results show slightly underestimated volumes (-0.3% for a probe of 13 trees) with a RMSE of 11.6% for the individual tree volume calculated with the new approach.

KW - Point cloud

KW - Terrestrial laser scanning

KW - Tree

KW - Volume estimation

KW - Voxel

KW - Ecosystems Research

KW - Biology

UR - http://www.scopus.com/inward/record.url?scp=84924259527&partnerID=8YFLogxK

U2 - 10.5194/isprsarchives-XL-5-101-2014

DO - 10.5194/isprsarchives-XL-5-101-2014

M3 - Conference article in journal

AN - SCOPUS:84924259527

VL - 40

SP - 101

EP - 106

JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

SN - 1682-1750

IS - 5

T2 - ISPRS Technical Commission V Symposium 2014

Y2 - 23 June 2014 through 25 June 2014

ER -

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