Terrestrial laser scanning point clouds and tree attributes from 55 sample plots at the Evo test site (spring 2024)
Terrestrial laser scanning (TLS) is an active remote sensing technique that digitizes trees and forest stands by capturing range measurements, resulting in detailed point clouds. To support the development of computational methods for tree and forest stand characterization, as well as to facilitate...
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| Format: | Article |
| Language: | English |
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Finnish Society of Forest Science
2025-05-01
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| Series: | Silva Fennica |
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| Online Access: | https://www.silvafennica.fi/article/24066 |
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| author | Tuomas Yrttimaa Lauri Liikonen Aapo Erkkilä Mikko Vastaranta |
| author_facet | Tuomas Yrttimaa Lauri Liikonen Aapo Erkkilä Mikko Vastaranta |
| author_sort | Tuomas Yrttimaa |
| collection | DOAJ |
| description | Terrestrial laser scanning (TLS) is an active remote sensing technique that digitizes trees and forest stands by capturing range measurements, resulting in detailed point clouds. To support the development of computational methods for tree and forest stand characterization, as well as to facilitate the exploration of tree structures, we collected TLS data from 55 sample plots (32 m × 32 m) and 6320 trees in Evo, Southern Finland. Data acquisition was conducted during April–May 2024 using a Riegl VZ-400i terrestrial laser scanner (Riegl Laser Measurement Systems GmbH, Austria), capable of recording up to eight returns per laser pulse. This dataset includes TLS point clouds in the projected coordinate reference system commonly used in Finland (ETRS-TM35FIN). Each point is annotated with reflectance, return number, return count, and height above ground. Additionally, information linking each return to its originating tree is provided. For individual trees, the point clouds were further processed to derive key attributes such as crown projection area, crown diameter, and stem diameter. In addition, tree species was derived by linking the TLS-based tree measurements with field inventory data. Here, we describe and share these curated TLS data files and related tree measurements, which offer a valuable resource for advancing tree- and forest-related research and applications. |
| format | Article |
| id | doaj-art-e47f13e7b7a443328ac167172c760bf1 |
| institution | Kabale University |
| issn | 2242-4075 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Finnish Society of Forest Science |
| record_format | Article |
| series | Silva Fennica |
| spelling | doaj-art-e47f13e7b7a443328ac167172c760bf12025-08-20T03:49:42ZengFinnish Society of Forest ScienceSilva Fennica2242-40752025-05-0159110.14214/sf.24066Terrestrial laser scanning point clouds and tree attributes from 55 sample plots at the Evo test site (spring 2024)Tuomas Yrttimaa0https://orcid.org/0000-0003-2648-523XLauri Liikonen1Aapo Erkkilä2Mikko Vastaranta3https://orcid.org/0000-0001-6552-9122School of Forest Sciences, University of Eastern Finland, FI-80101 Joensuu, Finland School of Forest Sciences, University of Eastern Finland, FI-80101 Joensuu, Finland School of Forest Sciences, University of Eastern Finland, FI-80101 Joensuu, FinlandSchool of Forest Sciences, University of Eastern Finland, FI-80101 Joensuu, FinlandTerrestrial laser scanning (TLS) is an active remote sensing technique that digitizes trees and forest stands by capturing range measurements, resulting in detailed point clouds. To support the development of computational methods for tree and forest stand characterization, as well as to facilitate the exploration of tree structures, we collected TLS data from 55 sample plots (32 m × 32 m) and 6320 trees in Evo, Southern Finland. Data acquisition was conducted during April–May 2024 using a Riegl VZ-400i terrestrial laser scanner (Riegl Laser Measurement Systems GmbH, Austria), capable of recording up to eight returns per laser pulse. This dataset includes TLS point clouds in the projected coordinate reference system commonly used in Finland (ETRS-TM35FIN). Each point is annotated with reflectance, return number, return count, and height above ground. Additionally, information linking each return to its originating tree is provided. For individual trees, the point clouds were further processed to derive key attributes such as crown projection area, crown diameter, and stem diameter. In addition, tree species was derived by linking the TLS-based tree measurements with field inventory data. Here, we describe and share these curated TLS data files and related tree measurements, which offer a valuable resource for advancing tree- and forest-related research and applications.https://www.silvafennica.fi/article/24066boreal forestground-based lidarlis treeanalyzerpoint cloud processingriegl vz-400itree characterizationtree reconstruction |
| spellingShingle | Tuomas Yrttimaa Lauri Liikonen Aapo Erkkilä Mikko Vastaranta Terrestrial laser scanning point clouds and tree attributes from 55 sample plots at the Evo test site (spring 2024) Silva Fennica boreal forest ground-based lidar lis treeanalyzer point cloud processing riegl vz-400i tree characterization tree reconstruction |
| title | Terrestrial laser scanning point clouds and tree attributes from 55 sample plots at the Evo test site (spring 2024) |
| title_full | Terrestrial laser scanning point clouds and tree attributes from 55 sample plots at the Evo test site (spring 2024) |
| title_fullStr | Terrestrial laser scanning point clouds and tree attributes from 55 sample plots at the Evo test site (spring 2024) |
| title_full_unstemmed | Terrestrial laser scanning point clouds and tree attributes from 55 sample plots at the Evo test site (spring 2024) |
| title_short | Terrestrial laser scanning point clouds and tree attributes from 55 sample plots at the Evo test site (spring 2024) |
| title_sort | terrestrial laser scanning point clouds and tree attributes from 55 sample plots at the evo test site spring 2024 |
| topic | boreal forest ground-based lidar lis treeanalyzer point cloud processing riegl vz-400i tree characterization tree reconstruction |
| url | https://www.silvafennica.fi/article/24066 |
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