eprintid: 10160854
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/16/08/54
datestamp: 2022-11-30 15:00:34
lastmod: 2022-11-30 15:00:34
status_changed: 2022-11-30 15:00:34
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Terryn, Louise
creators_name: Calders, Kim
creators_name: Åkerblom, Markku
creators_name: Bartholomeus, Harm
creators_name: Disney, Mathias
creators_name: Levick, Shaun
creators_name: Origo, Niall
creators_name: Raumonen, Pasi
creators_name: Verbeeck, Hans
title: Analysing individual 3D tree structure using the R package ITSMe
ispublished: inpress
divisions: UCL
divisions: B03
divisions: C03
divisions: F26
keywords: LiDAR, quantitative structure models, R package, tree structural metrics
note: Copyright © 2022 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
abstract: 1. Detailed 3D quantification of tree structure plays a crucial role in understanding tree- and plot-level biophysical processes. Light detection and ranging (LiDAR) has led to a revolution in tree structural measurements and its 3D data are increasingly becoming publicly available. Yet, calculating structural metrics from LiDAR data can often be complex and time-consuming and potentially requires expert knowledge. /

2. We present the R package Individual Tree Structural Metrics (ITSMe), a toolbox that works with LiDAR tree point clouds and quantitative structure models (QSMs) derived from LiDAR point clouds to obtain individual tree structural metrics. It serves as a robust synthesis framework for researchers who want to readily obtain structural information from 3D data of individual trees. /

3. The package includes functions to determine basic structural metrics (tree height, diameter at breast height, diameter above buttresses, projected crown area, 3D alpha crown volume) from individual tree point clouds, as well as more complex structural metrics (individual tree component volumes, branch angle-, radius- and length-related metrics) from QSMs. /

4. The ITSMe package is an open-source package hosted on GitHub that will make the use of 3D data more straightforward and transparent for a range of end-users interested in exploiting tree structure information.
date: 2022-11-15
date_type: published
publisher: WILEY
official_url: https://doi.org/10.1111/2041-210X.14026
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1991140
doi: 10.1111/2041-210X.14026
lyricists_name: Disney, Mathias
lyricists_id: MIDIS56
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
funding_acknowledgements: [Bijzonder Onderzoeksfonds]
full_text_status: public
publication: Methods in Ecology and Evolution
pages: 11
issn: 2041-210X
citation:        Terryn, Louise;    Calders, Kim;    Åkerblom, Markku;    Bartholomeus, Harm;    Disney, Mathias;    Levick, Shaun;    Origo, Niall;         ... Verbeeck, Hans; + view all <#>        Terryn, Louise;  Calders, Kim;  Åkerblom, Markku;  Bartholomeus, Harm;  Disney, Mathias;  Levick, Shaun;  Origo, Niall;  Raumonen, Pasi;  Verbeeck, Hans;   - view fewer <#>    (2022)    Analysing individual 3D tree structure using the R package ITSMe.                   Methods in Ecology and Evolution        10.1111/2041-210X.14026 <https://doi.org/10.1111/2041-210X.14026>.    (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10160854/1/Methods%20Ecol%20Evol%20-%202022%20-%20Terryn%20-%20Analysing%20individual%203D%20tree%20structure%20using%20the%20R%20package%20ITSMe.pdf