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A benchmark of lidar-based single tree detection methods using heterogeneous forest data from the alpine space

Eysn, Lothar and Hollaus, Markus and Lindberg, Eva and Berger, Frédéric and Monnet, Jean-Matthieu and Dalponte, Michele and Kobal, Milan and Pellegrini, Marco and Lingua, Emanuele and Mongus, Domen and Pfeifer, Norbert (2015). A benchmark of lidar-based single tree detection methods using heterogeneous forest data from the alpine space. Forests. 6:5, 1721-1747
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Official URL: http://dx.doi.org/10.3390/f6051721

Abstract

In this study, eight airborne laser scanning (ALS)-based single tree detection methods are benchmarked and investigated. The methods were applied to a unique dataset originating from different regions of the Alpine Space covering different study areas, forest types, and structures. This is the first benchmark ever performed for different forests within the Alps. The evaluation of the detection results was carried out in a reproducible way by automatically matching them to precise in situ forest inventory data using a restricted nearest neighbor detection approach. Quantitative statistical parameters such as percentages of correctly matched trees and omission and commission errors are presented. The proposed automated matching procedure presented herein shows an overall accuracy of 97%. Method based analysis, investigations per forest type, and an overall benchmark performance are presented. The best matching rate was obtained for single-layered coniferous forests. Dominated trees were challenging for all methods. The overall performance shows a matching rate of 47%, which is comparable to results of other benchmarks performed in the past. The study provides new insight regarding the potential and limits of tree detection with ALS and underlines some key aspects regarding the choice of method when performing single tree detection for the various forest types encountered in alpine regions.

Authors/Creators:Eysn, Lothar and Hollaus, Markus and Lindberg, Eva and Berger, Frédéric and Monnet, Jean-Matthieu and Dalponte, Michele and Kobal, Milan and Pellegrini, Marco and Lingua, Emanuele and Mongus, Domen and Pfeifer, Norbert
Title:A benchmark of lidar-based single tree detection methods using heterogeneous forest data from the alpine space
Series/Journal:Forests (1999-4907)
Year of publishing :2015
Depositing date:22 December 2015
Volume:6
Number:5
Page range:1721-1747
Number of Pages:27
Publisher:Molecular Diversity Preservation International (MDPI) AG
ISSN:1999-4907
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Agris subject categories.:K Forestry > K10 Forestry production
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Ecology
(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
Agrovoc terms:remote sensing, lasers, aerial surveying, forest trees
Keywords:single tree extraction, airborne laser scanning, forest inventory, comparative testing, co-registration, mountain forests, Alpine Space, matching
URN:NBN:urn:nbn:se:slu:epsilon-e-3146
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3146
Additional ID:
Type of IDID
Web of Science (WoS)000355473500017
DOI10.3390/f6051721
ID Code:12922
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
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:22 Dec 2015 09:09
Metadata Last Modified:11 Feb 2016 17:02

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