Simulation of multi-platform LiDAR for assessing total leaf area in tree crowns

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dc.contributor.author Yun, Ting
dc.contributor.author Cao, Lin
dc.contributor.author An, Feng
dc.contributor.author Chen, Bangqian
dc.contributor.author Xue, Lianfeng
dc.contributor.author Li, Weizheng
dc.contributor.author Pincebourde, Sylvain
dc.contributor.author Smith, Martin J.
dc.contributor.author Eichhorn, Markus P.
dc.date.accessioned 2019-07-10T10:40:53Z
dc.date.available 2019-07-10T10:40:53Z
dc.date.issued 2019-06-29
dc.identifier.citation Yun, T., Cao, L., An, F., Chen, B., Xue, L., Li, W., Pincebourde, S., Smith, M. J. and Eichhorn, M. P. (2019) 'Simulation of multi-platform LiDAR for assessing total leaf area in tree crowns', Agricultural and Forest Meteorology, 276-277, 107610 (10pp). doi: 10.1016/j.agrformet.2019.06.009 en
dc.identifier.volume 276-277 en
dc.identifier.startpage 1 en
dc.identifier.endpage 10 en
dc.identifier.issn 0168-1923
dc.identifier.uri http://hdl.handle.net/10468/8129
dc.identifier.doi 10.1016/j.agrformet.2019.06.009 en
dc.description.abstract LiDAR (Light Detection and Ranging) technology has been increasingly implemented to assess the biophysical attributes of forest canopies. However, LiDAR-based estimation of tree biophysical attributes remains difficult mainly due to the occlusion of vegetative elements in multi-layered tree crowns. In this study, we developed a new algorithm along with a multiple-scan methodology to analyse the impact of occlusion on LiDAR-based estimates of tree leaf area. We reconstructed five virtual tree models using a computer graphic-based approach based on in situ measurements from multiple tree crowns, for which the position, size, orientation and area of all leaves were measured. Multi-platform LiDAR simulations were performed on these 3D tree models through a point-line intersection algorithm. An approach based on the Delaunay triangulation algorithm with automatic adaptive threshold selection was proposed to construct the scanned leaf surface from the simulated discrete LiDAR point clouds. In addition, the leaf area covered by laser beams in each layer was assessed in combination with the ratio and number of the scanned points. Quantitative comparisons of LiDAR scanning for the occlusion effects among various scanning approaches, including fixed-position scanning, multiple terrestrial LiDAR scanning and airborne-terrestrial LiDAR cross-scanning, were assessed on different target trees. The results showed that one simulated terrestrial LiDAR scan alongside the model tree captured only 25–38% of the leaf area of the tree crown. When scanned data were acquired from three simulated terrestrial LiDAR scans around one tree, the accuracy of the leaf area recovery rate reached 60–73% depending on the leaf area index, tree crown volume and leaf area density. When a supplementary airborne LiDAR scanning was included, occlusion was reduced and the leaf area recovery rate increased to 72–90%. Our study provides an approach for the measurement of total leaf area in tree crowns from simulated multi-platform LiDAR data and enables a quantitative assessment of occlusion metrics for various tree crown attributes under different scanning strategies. en
dc.description.sponsorship National Natural Science Foundation of China (31770591, 41701510); Key Technologies Research and Development Program (2017YFD0600904); China Postdoctoral Science Foundation (2016 M601823) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier B.V. en
dc.relation.uri http://www.sciencedirect.com/science/article/pii/S0168192319302187
dc.rights © 2019, Elsevier B.V. All rights reserved. This manuscript version is made available under the CC BY-NC-ND 4.0 license. en
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/ en
dc.subject Laser scanning en
dc.subject LiDAR en
dc.subject Leaf area en
dc.subject Occlusion effect en
dc.subject Computer graphics en
dc.title Simulation of multi-platform LiDAR for assessing total leaf area in tree crowns en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Markus Eichhorn, Zoology & Ecology, University College Cork, Cork, Ireland. +353-21-490-3000 Email: markus.eichhorn@ucc.ie en
dc.internal.availability Full text available en
dc.check.info Access to this article is restricted until 24 months after publication by request of the publisher. en
dc.check.date 2021-06-29
dc.date.updated 2019-07-10T09:17:39Z
dc.description.version Accepted Version en
dc.internal.rssid 492288969
dc.contributor.funder National Natural Science Foundation of China en
dc.contributor.funder Key Technologies Research and Development Program en
dc.contributor.funder China Postdoctoral Science Foundation en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Agricultural and Forest Meteorology en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress markus.eichhorn@ucc.ie en
dc.identifier.articleid 107610 en
dc.identifier.eissn 1873-2240


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© 2019, Elsevier B.V. All rights reserved. This manuscript version is made available under the CC BY-NC-ND 4.0 license. Except where otherwise noted, this item's license is described as © 2019, Elsevier B.V. All rights reserved. This manuscript version is made available under the CC BY-NC-ND 4.0 license.
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