Massive-scale tree modelling from TLS data

P. Raumonen; E. Casella; K. Calders; S. Murphy; M. Åkerblom; M. Kaasalainen

doi:10.5194/isprsannals-II-3-W4-189-2015

Massive-scale tree modelling from TLS data

P. Raumonen, E. Casella, K. Calders, S. Murphy, M. Åkerblom, M. Kaasalainen

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

124 Citations (Scopus)

Abstract

This paper presents a method for reconstructing automatically the quantitative structure model of every tree in a forest plot from terrestrial laser scanner data. A new feature is the automatic extraction of individual trees from the point cloud. The method is tested with a 30-m diameter English oak plot and a 80-m diameter Australian eucalyptus plot. For the oak plot the total biomass was overestimated by about 17 %, when compared to allometry (N = 15), and the modelling time was about 100 min with a laptop. For the eucalyptus plot the total biomass was overestimated by about 8.5 %, when compared to a destructive reference (N = 27), and the modelling time was about 160 min. The method provides accurate and fast tree modelling abilities for, e.g., biomass estimation and ground truth data for airborne measurements at a massive ground scale.

Original language	English
Title of host publication	Proceedings of the ISPRS Annals
Pages	189-196
Volume	II-3
DOIs	https://doi.org/10.5194/isprsannals-II-3-W4-189-2015
Publication status	Published - 2015
Event	ISPRS, Munich, Germany - Duration: 25 Mar 2015 → 27 Mar 2015

Conference

Conference	ISPRS, Munich, Germany
Period	25/03/15 → 27/03/15

Keywords

Automatic tree extraction
Biomass
Eucalyptus
Forest plot
Ground truth
LiDAR
Oak
Quantitative structure models

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.5194/isprsannals-II-3-W4-189-2015

Cite this

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title = "Massive-scale tree modelling from TLS data",

abstract = "This paper presents a method for reconstructing automatically the quantitative structure model of every tree in a forest plot from terrestrial laser scanner data. A new feature is the automatic extraction of individual trees from the point cloud. The method is tested with a 30-m diameter English oak plot and a 80-m diameter Australian eucalyptus plot. For the oak plot the total biomass was overestimated by about 17 %, when compared to allometry (N = 15), and the modelling time was about 100 min with a laptop. For the eucalyptus plot the total biomass was overestimated by about 8.5 %, when compared to a destructive reference (N = 27), and the modelling time was about 160 min. The method provides accurate and fast tree modelling abilities for, e.g., biomass estimation and ground truth data for airborne measurements at a massive ground scale.",

keywords = "Automatic tree extraction, Biomass, Eucalyptus, Forest plot, Ground truth, LiDAR, Oak, Quantitative structure models",

author = "P. Raumonen and E. Casella and K. Calders and S. Murphy and M. {\AA}kerblom and M. Kaasalainen",

year = "2015",

doi = "10.5194/isprsannals-II-3-W4-189-2015",

language = "English",

volume = "II-3",

pages = "189--196",

booktitle = "Proceedings of the ISPRS Annals",

note = "ISPRS, Munich, Germany ; Conference date: 25-03-2015 Through 27-03-2015",

}

TY - GEN

T1 - Massive-scale tree modelling from TLS data

AU - Raumonen, P.

AU - Casella, E.

AU - Calders, K.

AU - Murphy, S.

AU - Åkerblom, M.

AU - Kaasalainen, M.

PY - 2015

Y1 - 2015

N2 - This paper presents a method for reconstructing automatically the quantitative structure model of every tree in a forest plot from terrestrial laser scanner data. A new feature is the automatic extraction of individual trees from the point cloud. The method is tested with a 30-m diameter English oak plot and a 80-m diameter Australian eucalyptus plot. For the oak plot the total biomass was overestimated by about 17 %, when compared to allometry (N = 15), and the modelling time was about 100 min with a laptop. For the eucalyptus plot the total biomass was overestimated by about 8.5 %, when compared to a destructive reference (N = 27), and the modelling time was about 160 min. The method provides accurate and fast tree modelling abilities for, e.g., biomass estimation and ground truth data for airborne measurements at a massive ground scale.

AB - This paper presents a method for reconstructing automatically the quantitative structure model of every tree in a forest plot from terrestrial laser scanner data. A new feature is the automatic extraction of individual trees from the point cloud. The method is tested with a 30-m diameter English oak plot and a 80-m diameter Australian eucalyptus plot. For the oak plot the total biomass was overestimated by about 17 %, when compared to allometry (N = 15), and the modelling time was about 100 min with a laptop. For the eucalyptus plot the total biomass was overestimated by about 8.5 %, when compared to a destructive reference (N = 27), and the modelling time was about 160 min. The method provides accurate and fast tree modelling abilities for, e.g., biomass estimation and ground truth data for airborne measurements at a massive ground scale.

KW - Automatic tree extraction

KW - Biomass

KW - Eucalyptus

KW - Forest plot

KW - Ground truth

KW - LiDAR

KW - Oak

KW - Quantitative structure models

U2 - 10.5194/isprsannals-II-3-W4-189-2015

DO - 10.5194/isprsannals-II-3-W4-189-2015

M3 - Conference paper

VL - II-3

SP - 189

EP - 196

BT - Proceedings of the ISPRS Annals

T2 - ISPRS, Munich, Germany

Y2 - 25 March 2015 through 27 March 2015

ER -

Massive-scale tree modelling from TLS data

Abstract

Conference

Keywords

UN SDGs

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