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Comparison of terrestrial and airborne LiDAR in describing stand structure of a thinned lodgepole pine forest

Comparison of terrestrial and airborne LiDAR in describing stand structure of a thinned lodgepole pine forest
Comparison of terrestrial and airborne LiDAR in describing stand structure of a thinned lodgepole pine forest
Airborne LiDAR (ALS) has been widely used for measuring canopy structure, but much of the woody components of the canopy are not directly visible with this system. Terrestrial LiDAR (TLS) data may help fill this gap by helping to understand the relationship between above- and below-canopy architecture. In this study, we report on the potential for combining TLS and ALS, thereby focusing on forest inventory and wood quality?related characteristics (such as number and dimension of branches). Our results show that both TLS and ALS were able to describe stand height using the top 10% of LiDAR returns at a high level of precision; however, TLS measurements were negatively biased by approximately 1 m (R 2 = 0.96 and 0.86 for ALS and TLS, respectively; P < 0.05). The distribution of foliage measured by ALS and TLS was strongly related to basal area (R 2 = 0.63 and 0.91 for ALS and TLS, respectively) and stand density (R 2 = 0.89 and 0.72 for ALS and TLS, respectively). Tree-level attributes were more accurately described by TLS (R 2 = 0.63) compared with ALS (R 2 = 0.37) for crown depth and a similar result applied to dbh with R 2 = 0.63 for TLS versus R 2 = 0.43 for ALS.
lidar, full waveform, pine, structure
0022-1201
97-104
Hilker, Thomas
c7fb75b8-320d-49df-84ba-96c9ee523d40
Coops, Nicholas C.
5511e778-fec2-4f54-8708-de65ba5a0992
Newnham, Glenn J.
461f980e-fd0f-40f2-98c0-2f33f8611b44
van Leeuwen, Martin
d0b420da-8c90-41c3-a047-eabd517dbd0b
Wulder, Michael A.
13414360-db3d-4d88-a76d-ccffd69d0084
Stewart, Jim
633b2733-0023-4547-9ee2-23e70395d2b4
Culvenor, Darius S.
5a9065a0-c5a2-4220-b704-5e241b5b988d
Hilker, Thomas
c7fb75b8-320d-49df-84ba-96c9ee523d40
Coops, Nicholas C.
5511e778-fec2-4f54-8708-de65ba5a0992
Newnham, Glenn J.
461f980e-fd0f-40f2-98c0-2f33f8611b44
van Leeuwen, Martin
d0b420da-8c90-41c3-a047-eabd517dbd0b
Wulder, Michael A.
13414360-db3d-4d88-a76d-ccffd69d0084
Stewart, Jim
633b2733-0023-4547-9ee2-23e70395d2b4
Culvenor, Darius S.
5a9065a0-c5a2-4220-b704-5e241b5b988d

Hilker, Thomas, Coops, Nicholas C., Newnham, Glenn J., van Leeuwen, Martin, Wulder, Michael A., Stewart, Jim and Culvenor, Darius S. (2012) Comparison of terrestrial and airborne LiDAR in describing stand structure of a thinned lodgepole pine forest. Journal of Forestry, 110 (2), 97-104. (doi:10.5849/jof.11-003).

Record type: Article

Abstract

Airborne LiDAR (ALS) has been widely used for measuring canopy structure, but much of the woody components of the canopy are not directly visible with this system. Terrestrial LiDAR (TLS) data may help fill this gap by helping to understand the relationship between above- and below-canopy architecture. In this study, we report on the potential for combining TLS and ALS, thereby focusing on forest inventory and wood quality?related characteristics (such as number and dimension of branches). Our results show that both TLS and ALS were able to describe stand height using the top 10% of LiDAR returns at a high level of precision; however, TLS measurements were negatively biased by approximately 1 m (R 2 = 0.96 and 0.86 for ALS and TLS, respectively; P < 0.05). The distribution of foliage measured by ALS and TLS was strongly related to basal area (R 2 = 0.63 and 0.91 for ALS and TLS, respectively) and stand density (R 2 = 0.89 and 0.72 for ALS and TLS, respectively). Tree-level attributes were more accurately described by TLS (R 2 = 0.63) compared with ALS (R 2 = 0.37) for crown depth and a similar result applied to dbh with R 2 = 0.63 for TLS versus R 2 = 0.43 for ALS.

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More information

Published date: 1 March 2012
Keywords: lidar, full waveform, pine, structure
Organisations: Global Env Change & Earth Observation, Geography & Environment

Identifiers

Local EPrints ID: 384698
URI: http://eprints.soton.ac.uk/id/eprint/384698
ISSN: 0022-1201
PURE UUID: 1ce3b7a5-208b-4d58-a86f-08063640fddc

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Date deposited: 27 Jan 2016 14:02
Last modified: 14 Mar 2024 22:02

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Contributors

Author: Thomas Hilker
Author: Nicholas C. Coops
Author: Glenn J. Newnham
Author: Martin van Leeuwen
Author: Michael A. Wulder
Author: Jim Stewart
Author: Darius S. Culvenor

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