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3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR

Terrestrial laser scanning is a powerful technology for capturing the three-dimensional structure of forests with a high level of detail and accuracy. Over the last decade, many algorithms have been developed to extract various tree parameters from terrestrial laser scanning data. Here we present 3D...

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Detalles Bibliográficos
Autores principales: Trochta, Jan, Krůček, Martin, Vrška, Tomáš, Král, Kamil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417521/
https://www.ncbi.nlm.nih.gov/pubmed/28472167
http://dx.doi.org/10.1371/journal.pone.0176871
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author Trochta, Jan
Krůček, Martin
Vrška, Tomáš
Král, Kamil
author_facet Trochta, Jan
Krůček, Martin
Vrška, Tomáš
Král, Kamil
author_sort Trochta, Jan
collection PubMed
description Terrestrial laser scanning is a powerful technology for capturing the three-dimensional structure of forests with a high level of detail and accuracy. Over the last decade, many algorithms have been developed to extract various tree parameters from terrestrial laser scanning data. Here we present 3D Forest, an open-source non-platform-specific software application with an easy-to-use graphical user interface with the compilation of algorithms focused on the forest environment and extraction of tree parameters. The current version (0.42) extracts important parameters of forest structure from the terrestrial laser scanning data, such as stem positions (X, Y, Z), tree heights, diameters at breast height (DBH), as well as more advanced parameters such as tree planar projections, stem profiles or detailed crown parameters including convex and concave crown surface and volume. Moreover, 3D Forest provides quantitative measures of between-crown interactions and their real arrangement in 3D space. 3D Forest also includes an original algorithm of automatic tree segmentation and crown segmentation. Comparison with field data measurements showed no significant difference in measuring DBH or tree height using 3D Forest, although for DBH only the Randomized Hough Transform algorithm proved to be sufficiently resistant to noise and provided results comparable to traditional field measurements.
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spelling pubmed-54175212017-05-14 3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR Trochta, Jan Krůček, Martin Vrška, Tomáš Král, Kamil PLoS One Research Article Terrestrial laser scanning is a powerful technology for capturing the three-dimensional structure of forests with a high level of detail and accuracy. Over the last decade, many algorithms have been developed to extract various tree parameters from terrestrial laser scanning data. Here we present 3D Forest, an open-source non-platform-specific software application with an easy-to-use graphical user interface with the compilation of algorithms focused on the forest environment and extraction of tree parameters. The current version (0.42) extracts important parameters of forest structure from the terrestrial laser scanning data, such as stem positions (X, Y, Z), tree heights, diameters at breast height (DBH), as well as more advanced parameters such as tree planar projections, stem profiles or detailed crown parameters including convex and concave crown surface and volume. Moreover, 3D Forest provides quantitative measures of between-crown interactions and their real arrangement in 3D space. 3D Forest also includes an original algorithm of automatic tree segmentation and crown segmentation. Comparison with field data measurements showed no significant difference in measuring DBH or tree height using 3D Forest, although for DBH only the Randomized Hough Transform algorithm proved to be sufficiently resistant to noise and provided results comparable to traditional field measurements. Public Library of Science 2017-05-04 /pmc/articles/PMC5417521/ /pubmed/28472167 http://dx.doi.org/10.1371/journal.pone.0176871 Text en © 2017 Trochta et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Trochta, Jan
Krůček, Martin
Vrška, Tomáš
Král, Kamil
3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR
title 3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR
title_full 3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR
title_fullStr 3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR
title_full_unstemmed 3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR
title_short 3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR
title_sort 3d forest: an application for descriptions of three-dimensional forest structures using terrestrial lidar
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5417521/
https://www.ncbi.nlm.nih.gov/pubmed/28472167
http://dx.doi.org/10.1371/journal.pone.0176871
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