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
[Research article]
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- Published Version
Available under License Creative Commons Attribution. 14MB |
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 | ||||||
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Title: | A benchmark of lidar-based single tree detection methods using heterogeneous forest data from the alpine space | ||||||
Series Name/Journal: | Forests | ||||||
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: | Research article | ||||||
Refereed: | Yes | ||||||
Article category: | Scientific peer reviewed | ||||||
Version: | Published version | ||||||
Copyright: | Creative Commons: Attribution 4.0 | ||||||
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: |
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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: | 09 Sep 2020 14:17 |
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