Tree Root System Characterization and Volume Estimation by Terrestrial Laser Scanning and Quantitative Structure Modeling
The accurate characterization of three-dimensional (3D) root architecture, volume, and biomass is important for a wide variety of applications in forest ecology and to better understand tree and soil stability. Technological advancements have led to increasingly more digitized and automated procedur...
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doaj-9e75a13a580445c3add0ad3397676f262020-11-24T23:19:34ZengMDPI AGForests1999-49072014-12-015123274329410.3390/f5123274f5123274Tree Root System Characterization and Volume Estimation by Terrestrial Laser Scanning and Quantitative Structure ModelingAaron Smith0Rasmus Astrup1Pasi Raumonen2Jari Liski3Anssi Krooks4Sanna Kaasalainen5Markku Åkerblom6Mikko Kaasalainen7Norwegian Forest and Landscape Institute, Mailbox 115, 1431 Ås, NorwayNorwegian Forest and Landscape Institute, Mailbox 115, 1431 Ås, NorwayDepartment of Mathematics, Tampere University of Technology, P.O. Box 553, FI-33101 Tampere, FinlandFinnish Environment Institute, Mechelininkatu 34a, FI-00251 Helsinki, FinlandFinnish Geodetic Institute, Geodeetinrinne 2, FI-02431 Masala, FinlandFinnish Geodetic Institute, Geodeetinrinne 2, FI-02431 Masala, FinlandDepartment of Mathematics, Tampere University of Technology, P.O. Box 553, FI-33101 Tampere, FinlandDepartment of Mathematics, Tampere University of Technology, P.O. Box 553, FI-33101 Tampere, FinlandThe accurate characterization of three-dimensional (3D) root architecture, volume, and biomass is important for a wide variety of applications in forest ecology and to better understand tree and soil stability. Technological advancements have led to increasingly more digitized and automated procedures, which have been used to more accurately and quickly describe the 3D structure of root systems. Terrestrial laser scanners (TLS) have successfully been used to describe aboveground structures of individual trees and stand structure, but have only recently been applied to the 3D characterization of whole root systems. In this study, 13 recently harvested Norway spruce root systems were mechanically pulled from the soil, cleaned, and their volumes were measured by displacement. The root systems were suspended, scanned with TLS from three different angles, and the root surfaces from the co-registered point clouds were modeled with the 3D Quantitative Structure Model to determine root architecture and volume. The modeling procedure facilitated the rapid derivation of root volume, diameters, break point diameters, linear root length, cumulative percentages, and root fraction counts. The modeled root systems underestimated root system volume by 4.4%. The modeling procedure is widely applicable and easily adapted to derive other important topological and volumetric root variables.http://www.mdpi.com/1999-4907/5/12/3274root biomasstree root system architectureterrestrial laser scanningcarbon cycle estimationbioenergyautomatic tree modeling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aaron Smith Rasmus Astrup Pasi Raumonen Jari Liski Anssi Krooks Sanna Kaasalainen Markku Åkerblom Mikko Kaasalainen |
spellingShingle |
Aaron Smith Rasmus Astrup Pasi Raumonen Jari Liski Anssi Krooks Sanna Kaasalainen Markku Åkerblom Mikko Kaasalainen Tree Root System Characterization and Volume Estimation by Terrestrial Laser Scanning and Quantitative Structure Modeling Forests root biomass tree root system architecture terrestrial laser scanning carbon cycle estimation bioenergy automatic tree modeling |
author_facet |
Aaron Smith Rasmus Astrup Pasi Raumonen Jari Liski Anssi Krooks Sanna Kaasalainen Markku Åkerblom Mikko Kaasalainen |
author_sort |
Aaron Smith |
title |
Tree Root System Characterization and Volume Estimation by Terrestrial Laser Scanning and Quantitative Structure Modeling |
title_short |
Tree Root System Characterization and Volume Estimation by Terrestrial Laser Scanning and Quantitative Structure Modeling |
title_full |
Tree Root System Characterization and Volume Estimation by Terrestrial Laser Scanning and Quantitative Structure Modeling |
title_fullStr |
Tree Root System Characterization and Volume Estimation by Terrestrial Laser Scanning and Quantitative Structure Modeling |
title_full_unstemmed |
Tree Root System Characterization and Volume Estimation by Terrestrial Laser Scanning and Quantitative Structure Modeling |
title_sort |
tree root system characterization and volume estimation by terrestrial laser scanning and quantitative structure modeling |
publisher |
MDPI AG |
series |
Forests |
issn |
1999-4907 |
publishDate |
2014-12-01 |
description |
The accurate characterization of three-dimensional (3D) root architecture, volume, and biomass is important for a wide variety of applications in forest ecology and to better understand tree and soil stability. Technological advancements have led to increasingly more digitized and automated procedures, which have been used to more accurately and quickly describe the 3D structure of root systems. Terrestrial laser scanners (TLS) have successfully been used to describe aboveground structures of individual trees and stand structure, but have only recently been applied to the 3D characterization of whole root systems. In this study, 13 recently harvested Norway spruce root systems were mechanically pulled from the soil, cleaned, and their volumes were measured by displacement. The root systems were suspended, scanned with TLS from three different angles, and the root surfaces from the co-registered point clouds were modeled with the 3D Quantitative Structure Model to determine root architecture and volume. The modeling procedure facilitated the rapid derivation of root volume, diameters, break point diameters, linear root length, cumulative percentages, and root fraction counts. The modeled root systems underestimated root system volume by 4.4%. The modeling procedure is widely applicable and easily adapted to derive other important topological and volumetric root variables. |
topic |
root biomass tree root system architecture terrestrial laser scanning carbon cycle estimation bioenergy automatic tree modeling |
url |
http://www.mdpi.com/1999-4907/5/12/3274 |
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