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Delineation of tree crowns and tree species classification from full-waveform airborne laser scanning data using 3-D ellipsoidal clustering

Lindberg, Eva and Eysn, Lothar and Hollaus, Markus and Holmgren, Johan and Pfeifer, Norbert (2014). Delineation of tree crowns and tree species classification from full-waveform airborne laser scanning data using 3-D ellipsoidal clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7:7, 3174-3181
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Official URL: http://dx.doi.org/10.1109/JSTARS.2014.2331276

Abstract

Individual tree crowns can be delineated from dense airborne laser scanning (ALS) data and their species can be classified from the spatial distribution and other variables derived from the ALS data within each tree crown. This study reports a new clustering approach to delineate tree crowns in three dimensions (3-D) based on ellipsoidal tree crown models (i.e., ellipsoidal clustering). An im-portant feature of this approach is the aim to derive information also about the understory vegeta-tion. The tree crowns are delineated from echoes derived from full-waveform (fwf) ALS data as well as discrete return ALS data with first and last returns. The ellipsoidal clustering led to an im-provement in the identification of tree crowns. Fwf ALS data offer the possibility to derive also the echo width and the amplitude in addition to the 3-D coordinates of each echo. In this study, tree species are classified from variables describing the fwf (i.e., the mean and standard deviation of the echo amplitude, echo width, and total number of echoes per pulse) and the spatial distribution of the clusters for pine, spruce, birch, oak, alder, and other species. Supervised classification is done for 68 field plots with leave-one-out cross-validation for one field plot at a time. The total accuracy was 71% when using both fwf and spatial variables, 60% when using only spatial variables, and 53% when using discrete return data. The improvement was greatest for discriminating pine and spruce as well as pine and birch.

Authors/Creators:Lindberg, Eva and Eysn, Lothar and Hollaus, Markus and Holmgren, Johan and Pfeifer, Norbert
Title:Delineation of tree crowns and tree species classification from full-waveform airborne laser scanning data using 3-D ellipsoidal clustering
Series/Journal:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1939-1404)
Year of publishing :2014
Volume:7
Number:7
Page range:3174-3181
Number of Pages:8
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
ISSN:1939-1404
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Accepted version
Full Text Status:Public
Agris subject categories.:K Forestry > K01 Forestry - General aspects
K Forestry > K11 Forest engineering
X Agricola extesions > X60 Technology
Subjects:(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Agrovoc terms:models, trees, classification, lasers, canopy
Keywords:canopy layers, individual trees, light detection and ranging (lidar), single tree detection, three - dimensional (3 - D) model
URN:NBN:urn:nbn:se:slu:epsilon-e-2300
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-2300
Additional ID:
Type of IDID
DOI10.1109/JSTARS.2014.2331276
ID Code:11578
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:13 Jan 2015 15:06
Metadata Last Modified:30 Mar 2015 22:13

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