Discovering Tree Architecture: A Comparison of the Performance of 3D Digitizing and Close-Range Photogrammetry
Accurate measurement of tree architecture is vital for understanding forest dynamics and supporting effective forest management. This study evaluates close-range photogrammetry (CRP) using TreeQSM (v2.4.1) software, reconstructing 3D tree structures in both deciduous and coniferous species and compa...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/2/202 |
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| author | Kristýna Šleglová Marek Hrdina Peter Surový |
| author_facet | Kristýna Šleglová Marek Hrdina Peter Surový |
| author_sort | Kristýna Šleglová |
| collection | DOAJ |
| description | Accurate measurement of tree architecture is vital for understanding forest dynamics and supporting effective forest management. This study evaluates close-range photogrammetry (CRP) using TreeQSM (v2.4.1) software, reconstructing 3D tree structures in both deciduous and coniferous species and comparing its performance to the Fastrak 3D digitizing method. CRP proved less labor-intensive and effective for estimating parameters like tree height, stem diameter, and volume of thicker branches in small trees. However, it struggled with capturing intricate structures, overestimating volumetric values and underestimating branch lengths and counts. Mean relative root mean square errors for height, diameter at 0.3 m height, volume, and branch count were 34.19%, 69.9%, 107.87%, and 142.03%, respectively. These discrepancies stem from challenges in reconstructing moving objects and filtering non-woody elements. While CRP shows potential as a complementary method, further advancements are necessary to improve 3D tree model reconstruction, emphasizing the need for ongoing research in this domain. |
| format | Article |
| id | doaj-art-42e5ae427a434bdeaf9eca1b7ba04ce6 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-42e5ae427a434bdeaf9eca1b7ba04ce62025-01-24T13:47:42ZengMDPI AGRemote Sensing2072-42922025-01-0117220210.3390/rs17020202Discovering Tree Architecture: A Comparison of the Performance of 3D Digitizing and Close-Range PhotogrammetryKristýna Šleglová0Marek Hrdina1Peter Surový2Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500 Prague, Czech RepublicFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500 Prague, Czech RepublicFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500 Prague, Czech RepublicAccurate measurement of tree architecture is vital for understanding forest dynamics and supporting effective forest management. This study evaluates close-range photogrammetry (CRP) using TreeQSM (v2.4.1) software, reconstructing 3D tree structures in both deciduous and coniferous species and comparing its performance to the Fastrak 3D digitizing method. CRP proved less labor-intensive and effective for estimating parameters like tree height, stem diameter, and volume of thicker branches in small trees. However, it struggled with capturing intricate structures, overestimating volumetric values and underestimating branch lengths and counts. Mean relative root mean square errors for height, diameter at 0.3 m height, volume, and branch count were 34.19%, 69.9%, 107.87%, and 142.03%, respectively. These discrepancies stem from challenges in reconstructing moving objects and filtering non-woody elements. While CRP shows potential as a complementary method, further advancements are necessary to improve 3D tree model reconstruction, emphasizing the need for ongoing research in this domain.https://www.mdpi.com/2072-4292/17/2/202Fastrak Polhemusclose-range photogrammetrycrown architecture3D reconstructiontree morphology |
| spellingShingle | Kristýna Šleglová Marek Hrdina Peter Surový Discovering Tree Architecture: A Comparison of the Performance of 3D Digitizing and Close-Range Photogrammetry Remote Sensing Fastrak Polhemus close-range photogrammetry crown architecture 3D reconstruction tree morphology |
| title | Discovering Tree Architecture: A Comparison of the Performance of 3D Digitizing and Close-Range Photogrammetry |
| title_full | Discovering Tree Architecture: A Comparison of the Performance of 3D Digitizing and Close-Range Photogrammetry |
| title_fullStr | Discovering Tree Architecture: A Comparison of the Performance of 3D Digitizing and Close-Range Photogrammetry |
| title_full_unstemmed | Discovering Tree Architecture: A Comparison of the Performance of 3D Digitizing and Close-Range Photogrammetry |
| title_short | Discovering Tree Architecture: A Comparison of the Performance of 3D Digitizing and Close-Range Photogrammetry |
| title_sort | discovering tree architecture a comparison of the performance of 3d digitizing and close range photogrammetry |
| topic | Fastrak Polhemus close-range photogrammetry crown architecture 3D reconstruction tree morphology |
| url | https://www.mdpi.com/2072-4292/17/2/202 |
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