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Prediction of wood fiber attributes from LiDAR-derived forest canopy indicators

Prediction of wood fiber attributes from LiDAR-derived forest canopy indicators
Prediction of wood fiber attributes from LiDAR-derived forest canopy indicators
We investigated the potential use of airborne light detection and ranging (LiDAR) data to predict key wood fiber properties from extrinsic indicators in lodgepole pine leading forest stands located in the foothills of central Alberta, Canada. Six wood fiber attributes (wood density, cell perimeter, cell coarseness, mature fiber length, microfibril angle, and modulus of elasticity) were measured at 21 plots, and with use of data reduction techniques, two components of wood properties were derived: wood strength, stiffness, and fiber yield and fiber strength and smoothness. These wood fiber components were then compared with extrinsic indicators of wood characteristic-derived LiDAR-estimated topographic morphology, tree height, and canopy light metrics. The first principal component indicating wood strength and stiffness was significantly correlated to the depth of different canopy zones (or light regimes; r 2 = 0.55, P < 0.05). The second component, related to fiber strength and smoothness, was significantly correlated to the height of the canopy and canopy thickness (r 2 = 0.65, P < 0.05). The results indicate that airborne LiDAR attributes can explain about half of the observed variance in intrinsic wood fiber attributes, which is approximately 5?10% less than that explained by growth-related field-measured variables such as diameter increment and height. This reduction in explained variance can be balanced by the opportunities for much broader spatial characterizations of wood quantity and quality at the stand and landscape levels.
canopy structure, lidar, light regime, lodgepole pine, wood fiber
0015-749X
231-242
Hilker, Thomas
c7fb75b8-320d-49df-84ba-96c9ee523d40
Frazer, Gordon W.
7af265e0-d069-4c33-ba01-0856f49274c1
Coops, Nicholas C.
5511e778-fec2-4f54-8708-de65ba5a0992
Wulder, Michael A.
13414360-db3d-4d88-a76d-ccffd69d0084
Newnham, Glenn J.
461f980e-fd0f-40f2-98c0-2f33f8611b44
Stewart, James D.
9a800a06-9c5c-4d48-9c24-b0df0e95d734
Leeuwen, Martin Van
fb1c844f-284d-428a-8cff-c8c9eeee0dbd
Culvenor, Darius S.
5a9065a0-c5a2-4220-b704-5e241b5b988d
Hilker, Thomas
c7fb75b8-320d-49df-84ba-96c9ee523d40
Frazer, Gordon W.
7af265e0-d069-4c33-ba01-0856f49274c1
Coops, Nicholas C.
5511e778-fec2-4f54-8708-de65ba5a0992
Wulder, Michael A.
13414360-db3d-4d88-a76d-ccffd69d0084
Newnham, Glenn J.
461f980e-fd0f-40f2-98c0-2f33f8611b44
Stewart, James D.
9a800a06-9c5c-4d48-9c24-b0df0e95d734
Leeuwen, Martin Van
fb1c844f-284d-428a-8cff-c8c9eeee0dbd
Culvenor, Darius S.
5a9065a0-c5a2-4220-b704-5e241b5b988d

Hilker, Thomas, Frazer, Gordon W., Coops, Nicholas C., Wulder, Michael A., Newnham, Glenn J., Stewart, James D., Leeuwen, Martin Van and Culvenor, Darius S. (2013) Prediction of wood fiber attributes from LiDAR-derived forest canopy indicators. Forest Science, 59 (2), 231-242. (doi:10.5849/forsci.11-074).

Record type: Article

Abstract

We investigated the potential use of airborne light detection and ranging (LiDAR) data to predict key wood fiber properties from extrinsic indicators in lodgepole pine leading forest stands located in the foothills of central Alberta, Canada. Six wood fiber attributes (wood density, cell perimeter, cell coarseness, mature fiber length, microfibril angle, and modulus of elasticity) were measured at 21 plots, and with use of data reduction techniques, two components of wood properties were derived: wood strength, stiffness, and fiber yield and fiber strength and smoothness. These wood fiber components were then compared with extrinsic indicators of wood characteristic-derived LiDAR-estimated topographic morphology, tree height, and canopy light metrics. The first principal component indicating wood strength and stiffness was significantly correlated to the depth of different canopy zones (or light regimes; r 2 = 0.55, P < 0.05). The second component, related to fiber strength and smoothness, was significantly correlated to the height of the canopy and canopy thickness (r 2 = 0.65, P < 0.05). The results indicate that airborne LiDAR attributes can explain about half of the observed variance in intrinsic wood fiber attributes, which is approximately 5?10% less than that explained by growth-related field-measured variables such as diameter increment and height. This reduction in explained variance can be balanced by the opportunities for much broader spatial characterizations of wood quantity and quality at the stand and landscape levels.

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More information

Published date: 16 April 2013
Keywords: canopy structure, lidar, light regime, lodgepole pine, wood fiber
Organisations: Geography & Environment

Identifiers

Local EPrints ID: 384678
URI: https://eprints.soton.ac.uk/id/eprint/384678
ISSN: 0015-749X
PURE UUID: 120805c3-6ca8-4730-b5e8-6458a3c05de3

Catalogue record

Date deposited: 15 Apr 2016 15:18
Last modified: 15 Jul 2019 20:55

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