The impact of voxel size, forest type, and understory cover on visibility estimation in forests using terrestrial laser scanning
Visibility (or viewshed) analysis, a common function in geographical information systems, is used in a wide range of fields such as urban planning, landscape management, and ecological research. However, measuring fine-scale visibility within a forest environment is challenging due to the structural...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2021-04-01
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| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/15481603.2021.1873588 |
| _version_ | 1827811723221925888 |
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| author | Xin Zong Tiejun Wang Andrew K. Skidmore Marco Heurich |
| author_facet | Xin Zong Tiejun Wang Andrew K. Skidmore Marco Heurich |
| author_sort | Xin Zong |
| collection | DOAJ |
| description | Visibility (or viewshed) analysis, a common function in geographical information systems, is used in a wide range of fields such as urban planning, landscape management, and ecological research. However, measuring fine-scale visibility within a forest environment is challenging due to the structural complexity of plant architecture. Here we propose a new method for estimating visibility in forests using terrestrial laser scanning (TLS). We compare the visibility in forest plots derived from TLS with that derived from the gold standard photography-based approach and show that there is good agreement between the visibility derived from TLS-based and photography-based approaches with $${R^2}$$ values ranging from 0.67 to 0.79 and RMSE values ranging from 12.45% to 17.29%. We further examine the potential impacts of voxel size, forest type, and understory cover on TLS-based estimation accuracy. Voxel size has a strong effect on visibility estimates, with the most accurate estimates obtained at a voxel size of 10 cm. In general, the TLS-based approach achieves higher estimation accuracy in deciduous forest plots than in coniferous and mixed forest plots. The understory has a significant effect on the estimates, with a lower accuracy for dense understory cover. Our results demonstrate that TLS technology can serve as an appropriate approach to rapidly estimate fine-scale visibility in forests. More importantly, TLS provides the opportunity to move beyond estimating visibility at single locations and from limited perspectives, to estimating visibility at any location and from any perspective within a scanned area, thereby greatly improving sampling efficiency. |
| first_indexed | 2024-03-11T23:08:37Z |
| format | Article |
| id | doaj.art-a2c56a647b2a4e8e8b5d8a348626361f |
| institution | Directory Open Access Journal |
| issn | 1548-1603 1943-7226 |
| language | English |
| last_indexed | 2024-03-11T23:08:37Z |
| publishDate | 2021-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GIScience & Remote Sensing |
| spelling | doaj.art-a2c56a647b2a4e8e8b5d8a348626361f2023-09-21T12:34:16ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262021-04-0158332333910.1080/15481603.2021.18735881873588The impact of voxel size, forest type, and understory cover on visibility estimation in forests using terrestrial laser scanningXin Zong0Tiejun Wang1Andrew K. Skidmore2Marco Heurich3University of TwenteUniversity of TwenteUniversity of TwenteBavarian Forest National ParkVisibility (or viewshed) analysis, a common function in geographical information systems, is used in a wide range of fields such as urban planning, landscape management, and ecological research. However, measuring fine-scale visibility within a forest environment is challenging due to the structural complexity of plant architecture. Here we propose a new method for estimating visibility in forests using terrestrial laser scanning (TLS). We compare the visibility in forest plots derived from TLS with that derived from the gold standard photography-based approach and show that there is good agreement between the visibility derived from TLS-based and photography-based approaches with $${R^2}$$ values ranging from 0.67 to 0.79 and RMSE values ranging from 12.45% to 17.29%. We further examine the potential impacts of voxel size, forest type, and understory cover on TLS-based estimation accuracy. Voxel size has a strong effect on visibility estimates, with the most accurate estimates obtained at a voxel size of 10 cm. In general, the TLS-based approach achieves higher estimation accuracy in deciduous forest plots than in coniferous and mixed forest plots. The understory has a significant effect on the estimates, with a lower accuracy for dense understory cover. Our results demonstrate that TLS technology can serve as an appropriate approach to rapidly estimate fine-scale visibility in forests. More importantly, TLS provides the opportunity to move beyond estimating visibility at single locations and from limited perspectives, to estimating visibility at any location and from any perspective within a scanned area, thereby greatly improving sampling efficiency.http://dx.doi.org/10.1080/15481603.2021.1873588voxel sizeforest typeunderstoryviewshedterrestrial lidar |
| spellingShingle | Xin Zong Tiejun Wang Andrew K. Skidmore Marco Heurich The impact of voxel size, forest type, and understory cover on visibility estimation in forests using terrestrial laser scanning GIScience & Remote Sensing voxel size forest type understory viewshed terrestrial lidar |
| title | The impact of voxel size, forest type, and understory cover on visibility estimation in forests using terrestrial laser scanning |
| title_full | The impact of voxel size, forest type, and understory cover on visibility estimation in forests using terrestrial laser scanning |
| title_fullStr | The impact of voxel size, forest type, and understory cover on visibility estimation in forests using terrestrial laser scanning |
| title_full_unstemmed | The impact of voxel size, forest type, and understory cover on visibility estimation in forests using terrestrial laser scanning |
| title_short | The impact of voxel size, forest type, and understory cover on visibility estimation in forests using terrestrial laser scanning |
| title_sort | impact of voxel size forest type and understory cover on visibility estimation in forests using terrestrial laser scanning |
| topic | voxel size forest type understory viewshed terrestrial lidar |
| url | http://dx.doi.org/10.1080/15481603.2021.1873588 |
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