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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2017-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5417521?pdf=render |
| _version_ | 1818520728860884992 |
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| author | Jan Trochta Martin Krůček Tomáš Vrška Kamil Král |
| author_facet | Jan Trochta Martin Krůček Tomáš Vrška Kamil Král |
| author_sort | Jan Trochta |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-11T01:41:29Z |
| format | Article |
| id | doaj.art-8b52ef3b752c4ce0a6afdd011dedab2e |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-11T01:41:29Z |
| publishDate | 2017-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-8b52ef3b752c4ce0a6afdd011dedab2e2022-12-22T01:25:01ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01125e017687110.1371/journal.pone.01768713D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR.Jan TrochtaMartin KrůčekTomáš VrškaKamil KrálTerrestrial 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.http://europepmc.org/articles/PMC5417521?pdf=render |
| spellingShingle | Jan Trochta Martin Krůček Tomáš Vrška Kamil Král 3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR. PLoS ONE |
| 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 |
| url | http://europepmc.org/articles/PMC5417521?pdf=render |
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