3DFin: a software for automated 3D forest inventories from terrestrial point clouds

Rebollido, Diego Laino; Gomez, Carlos Cabo; Prendes, Covadonga; Janvier, Romain; Ordonez, Celestino; Nikonovas, Tadas; Doerr, Stefan; Nuno, Cristina Santin

doi:10.1093/forestry/cpae020

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3DFin: a software for automated 3D forest inventories from terrestrial point clouds

Diego Laino Rebollido, Carlos Cabo Gomez, Covadonga Prendes, Romain Janvier, Celestino Ordonez, Tadas Nikonovas, Stefan Doerr

, Cristina Santin Nuno

Forestry: An International Journal of Forest Research, Volume: 97, Issue: 4, Pages: 479 - 496

Swansea University Authors: Diego Laino Rebollido, Carlos Cabo Gomez, Tadas Nikonovas, Stefan Doerr , Cristina Santin Nuno

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DOI (Published version): 10.1093/forestry/cpae020

Abstract

Accurate and efficient forest inventories are essential for effective forest management and conservation. The advent of ground-based remote sensing has revolutionized the data acquisition process, enabling detailed and precise 3D measurements of forested areas. Several algorithms and methods have be...

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Published in:	Forestry: An International Journal of Forest Research
ISSN:	0015-752X 1464-3626
Published:	Oxford University Press (OUP) 2024
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URI:	https://cronfa.swan.ac.uk/Record/cronfa66704
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spelling	v2 66704 2024-06-11 3DFin: a software for automated 3D forest inventories from terrestrial point clouds 4f9aa56b174c9abf66b578389fcee260 Diego Laino Rebollido Diego Laino Rebollido true false 660108e8078886c3e750d803be23276b Carlos Cabo Gomez Carlos Cabo Gomez true false 940b37dbdcb6896884af0887808b089c Tadas Nikonovas Tadas Nikonovas true false 575eb5094f2328249328b3e43deb5088 0000-0002-8700-9002 Stefan Doerr Stefan Doerr true false 993c82cbaf875c1268156360e83c4dfd Cristina Santin Nuno Cristina Santin Nuno true false 2024-06-11 BGPS Accurate and efficient forest inventories are essential for effective forest management and conservation. The advent of ground-based remote sensing has revolutionized the data acquisition process, enabling detailed and precise 3D measurements of forested areas. Several algorithms and methods have been developed in the last years to automatically derive tree metrics from such terrestrial/ground-based point clouds. However, few attempts have been made to make these automatic tree metrics algorithms accessible to wider audiences by producing software solutions that implement these methods. To fill this major gap, we have developed 3DFin, a novel free software program designed for user-friendly, automatic forest inventories using ground-based point clouds. 3DFin empowers users to automatically compute key forest inventory parameters, including tree Total Height, Diameter at Breast Height (DBH), and tree location. To enhance its user-friendliness, the program is open-access, cross-platform, and available as a plugin in CloudCompare and QGIS as well as a standalone in Windows. 3DFin capabilities have been tested with Terrestrial Laser Scanning, Mobile Laser Scanning, and terrestrial photogrammetric point clouds from public repositories across different forest conditions, achieving nearly full completeness and correctness in tree mapping and highly accurate DBH estimations (root mean squared error <2 cm, bias <1 cm) in most scenarios. In these tests, 3DFin demonstrated remarkable efficiency, with processing times ranging from 2 to 7 min per plot. The software is freely available at: https://github.com/3DFin/3DFin. Journal Article Forestry: An International Journal of Forest Research 97 4 479 496 Oxford University Press (OUP) 0015-752X 1464-3626 1 10 2024 2024-10-01 10.1093/forestry/cpae020 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University SU Library paid the OA fee (TA Institutional Deal) NERC (NE/T001194/1). This work was supported by the UK NERC project [NE/T001194/1]: ‘Advancing 3D Fuel Mapping for Wildfire Behaviour and Risk Mitigation Modelling’, the Spanish Knowledge Generation project [PID2021-126790NB-I00]: ‘Advancing carbon emission estimations from wildfires applying artificial intelligence to 3D terrestrial point clouds’, and the Spanish ‘Ramón y Cajal’ programme [RYC2018-025797-I] 2024-11-01T14:01:06.3897352 2024-06-11T16:34:20.9341663 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Diego Laino Rebollido 1 Carlos Cabo Gomez 2 Covadonga Prendes 3 Romain Janvier 4 Celestino Ordonez 5 Tadas Nikonovas 6 Stefan Doerr 0000-0002-8700-9002 7 Cristina Santin Nuno 8 66704__30818__c68e53b8196f488b8adffbdc972dd702.pdf 66704.VoR.pdf 2024-07-04T12:04:05.1189709 Output 5002800 application/pdf Version of Record true © The Author(s) 2024. This is an Open Access article distributed under the terms of the Creative Commons Attribution License. true eng https://creativecommons.org/licenses/by/4.0/ 255 true https://doi.org/10.48436/afdjq-ce434
title	3DFin: a software for automated 3D forest inventories from terrestrial point clouds
spellingShingle	3DFin: a software for automated 3D forest inventories from terrestrial point clouds Diego Laino Rebollido Carlos Cabo Gomez Tadas Nikonovas Stefan Doerr Cristina Santin Nuno
title_short	3DFin: a software for automated 3D forest inventories from terrestrial point clouds
title_full	3DFin: a software for automated 3D forest inventories from terrestrial point clouds
title_fullStr	3DFin: a software for automated 3D forest inventories from terrestrial point clouds
title_full_unstemmed	3DFin: a software for automated 3D forest inventories from terrestrial point clouds
title_sort	3DFin: a software for automated 3D forest inventories from terrestrial point clouds
author_id_str_mv	4f9aa56b174c9abf66b578389fcee260 660108e8078886c3e750d803be23276b 940b37dbdcb6896884af0887808b089c 575eb5094f2328249328b3e43deb5088 993c82cbaf875c1268156360e83c4dfd
author_id_fullname_str_mv	4f9aa56b174c9abf66b578389fcee260_*_Diego Laino Rebollido 660108e8078886c3e750d803be23276b__Carlos Cabo Gomez 940b37dbdcb6896884af0887808b089c__Tadas Nikonovas 575eb5094f2328249328b3e43deb5088__Stefan Doerr 993c82cbaf875c1268156360e83c4dfd_**_Cristina Santin Nuno
author	Diego Laino Rebollido Carlos Cabo Gomez Tadas Nikonovas Stefan Doerr Cristina Santin Nuno
author2	Diego Laino Rebollido Carlos Cabo Gomez Covadonga Prendes Romain Janvier Celestino Ordonez Tadas Nikonovas Stefan Doerr Cristina Santin Nuno
format	Journal article
container_title	Forestry: An International Journal of Forest Research
container_volume	97
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institution	Swansea University
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doi_str_mv	10.1093/forestry/cpae020
publisher	Oxford University Press (OUP)
college_str	Faculty of Science and Engineering
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description	Accurate and efficient forest inventories are essential for effective forest management and conservation. The advent of ground-based remote sensing has revolutionized the data acquisition process, enabling detailed and precise 3D measurements of forested areas. Several algorithms and methods have been developed in the last years to automatically derive tree metrics from such terrestrial/ground-based point clouds. However, few attempts have been made to make these automatic tree metrics algorithms accessible to wider audiences by producing software solutions that implement these methods. To fill this major gap, we have developed 3DFin, a novel free software program designed for user-friendly, automatic forest inventories using ground-based point clouds. 3DFin empowers users to automatically compute key forest inventory parameters, including tree Total Height, Diameter at Breast Height (DBH), and tree location. To enhance its user-friendliness, the program is open-access, cross-platform, and available as a plugin in CloudCompare and QGIS as well as a standalone in Windows. 3DFin capabilities have been tested with Terrestrial Laser Scanning, Mobile Laser Scanning, and terrestrial photogrammetric point clouds from public repositories across different forest conditions, achieving nearly full completeness and correctness in tree mapping and highly accurate DBH estimations (root mean squared error <2 cm, bias <1 cm) in most scenarios. In these tests, 3DFin demonstrated remarkable efficiency, with processing times ranging from 2 to 7 min per plot. The software is freely available at: https://github.com/3DFin/3DFin.
published_date	2024-10-01T14:01:04Z
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3DFin: a software for automated 3D forest inventories from terrestrial point clouds

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