An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster
The parametrization of wood volume equations has traditionally been carried out with destructive samplings, which are highly resource-intensive. These equations must be specifically set up for each species and set of conditions, meaning that, in many cases, they are unfeasible or non-existent. Here,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2021-10-01
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| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/15481603.2021.1972712 |
| _version_ | 1797679040195198976 |
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| author | Covadonga Prendes Carlos Cabo Celestino Ordoñez Juan Majada Elena Canga |
| author_facet | Covadonga Prendes Carlos Cabo Celestino Ordoñez Juan Majada Elena Canga |
| author_sort | Covadonga Prendes |
| collection | DOAJ |
| description | The parametrization of wood volume equations has traditionally been carried out with destructive samplings, which are highly resource-intensive. These equations must be specifically set up for each species and set of conditions, meaning that, in many cases, they are unfeasible or non-existent. Here, we present a nondestructive and fully automated methodology for the parametrization of merchantable volume equations from terrestrial laser scanning (TLS) data, which aims at being applicable to any species and stand typology. It is based on the estimation of diameters along the stem and the height of each tree, including a robust system for the automatic identification and correction of anomalous values. The implementation considers several types of volume equations, the most suitable equation being selected and parameterized using the diameter and height estimations. The methodology was tested in a Pinus pinaster plot with 428 trees, steep slopes, low branches and dense understory. The results showed that 97% of trees were automatically detected, and RMSE of the height and diameter estimations was 1.52 m and 1.14 cm, respectively. A volume ratio equation was automatically selected as the best option for the test dataset. RMSE in automatic volume estimations was 0.0233 m3, and 0.0149 m3 using diameters reviewed by an operator. |
| first_indexed | 2024-03-11T23:08:39Z |
| format | Article |
| id | doaj.art-a7e919159f7548609fc9b79268a7c377 |
| institution | Directory Open Access Journal |
| issn | 1548-1603 1943-7226 |
| language | English |
| last_indexed | 2024-03-11T23:08:39Z |
| publishDate | 2021-10-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GIScience & Remote Sensing |
| spelling | doaj.art-a7e919159f7548609fc9b79268a7c3772023-09-21T12:43:07ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262021-10-015871130115010.1080/15481603.2021.19727121972712An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinasterCovadonga Prendes0Carlos Cabo1Celestino Ordoñez2Juan Majada3Elena Canga4Forest and Wood Technology Research Centre Foundation (CETEMAS)Swansea UniversityUniversity of OviedoForest and Wood Technology Research Centre Foundation (CETEMAS)Forest and Wood Technology Research Centre Foundation (CETEMAS)The parametrization of wood volume equations has traditionally been carried out with destructive samplings, which are highly resource-intensive. These equations must be specifically set up for each species and set of conditions, meaning that, in many cases, they are unfeasible or non-existent. Here, we present a nondestructive and fully automated methodology for the parametrization of merchantable volume equations from terrestrial laser scanning (TLS) data, which aims at being applicable to any species and stand typology. It is based on the estimation of diameters along the stem and the height of each tree, including a robust system for the automatic identification and correction of anomalous values. The implementation considers several types of volume equations, the most suitable equation being selected and parameterized using the diameter and height estimations. The methodology was tested in a Pinus pinaster plot with 428 trees, steep slopes, low branches and dense understory. The results showed that 97% of trees were automatically detected, and RMSE of the height and diameter estimations was 1.52 m and 1.14 cm, respectively. A volume ratio equation was automatically selected as the best option for the test dataset. RMSE in automatic volume estimations was 0.0233 m3, and 0.0149 m3 using diameters reviewed by an operator.http://dx.doi.org/10.1080/15481603.2021.1972712diameters along the stemtotal heightanomalous sectionspinus pinaster |
| spellingShingle | Covadonga Prendes Carlos Cabo Celestino Ordoñez Juan Majada Elena Canga An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster GIScience & Remote Sensing diameters along the stem total height anomalous sections pinus pinaster |
| title | An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster |
| title_full | An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster |
| title_fullStr | An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster |
| title_full_unstemmed | An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster |
| title_short | An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster |
| title_sort | algorithm for the automatic parametrization of wood volume equations from terrestrial laser scanning point clouds application in pinus pinaster |
| topic | diameters along the stem total height anomalous sections pinus pinaster |
| url | http://dx.doi.org/10.1080/15481603.2021.1972712 |
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