Methodology for measuring dendrometric parameters in a mediterranean forest with UAVs flying inside forest
Accurate field measurements of tree morphological features are essential for effective forest inventory and the sustainable management of forest resources. Traditional methods involve time-consuming and expensive tree-by-tree measurements conducted by specialized technicians, which can lead to subje...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-08-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843223002509 |
| _version_ | 1797738000395796480 |
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| author | Roberto Greco Emanuele Barca Pasi Raumonen Manuela Persia Patrizia Tartarino |
| author_facet | Roberto Greco Emanuele Barca Pasi Raumonen Manuela Persia Patrizia Tartarino |
| author_sort | Roberto Greco |
| collection | DOAJ |
| description | Accurate field measurements of tree morphological features are essential for effective forest inventory and the sustainable management of forest resources. Traditional methods involve time-consuming and expensive tree-by-tree measurements conducted by specialized technicians, which can lead to subjective measurement errors. To address these limitations, advanced sensor technologies have garnered attention in recent years. Terrestrial laser scanning (TLS) has been widely employed due to its high precision in deriving tree attributes at the plot level. However, TLS has certain drawbacks, including high acquisition costs, limited portability, and the requirement for specialized software and expertise. As alternatives, aerial photogrammetry and computer vision algorithms have emerged to obtain high-resolution 3D measurements of forest vegetation.This study proposes a novel approach utilizing a small drone under the forest canopy to estimate biometric parameters such as trunk diameter at various heights and circumference. By joining the capabilities of drones with the structure-from-motion approach, this study presents a promising solution for cost-effective and accurate estimation of biometric parameters in forest inventories. Moreover, the results demonstrate superior accuracy compared to those reported in previous studies with improvements up to one order of magnitude. |
| first_indexed | 2024-03-12T13:37:34Z |
| format | Article |
| id | doaj.art-a96a1426aeab4bc79fec97ad8465182e |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-03-12T13:37:34Z |
| publishDate | 2023-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-a96a1426aeab4bc79fec97ad8465182e2023-08-24T04:34:16ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322023-08-01122103426Methodology for measuring dendrometric parameters in a mediterranean forest with UAVs flying inside forestRoberto Greco0Emanuele Barca1Pasi Raumonen2Manuela Persia3Patrizia Tartarino4Department of Soil, Plant and Food Sciences, University of Bari A. Moro, Via Amendola 165/A, 70126 Bari, ItalyWater Research Institute, IRSA-CNR, Viale F. De Blasio 5, Bari 70132, Italy; Corresponding author.Computing Sciences, Tampere University, Korkeakoulunkatu 7, 33720 Tampere, FinlandDepartment of Soil, Plant and Food Sciences, University of Bari A. Moro, Via Amendola 165/A, 70126 Bari, ItalyDepartment of Soil, Plant and Food Sciences, University of Bari A. Moro, Via Amendola 165/A, 70126 Bari, ItalyAccurate field measurements of tree morphological features are essential for effective forest inventory and the sustainable management of forest resources. Traditional methods involve time-consuming and expensive tree-by-tree measurements conducted by specialized technicians, which can lead to subjective measurement errors. To address these limitations, advanced sensor technologies have garnered attention in recent years. Terrestrial laser scanning (TLS) has been widely employed due to its high precision in deriving tree attributes at the plot level. However, TLS has certain drawbacks, including high acquisition costs, limited portability, and the requirement for specialized software and expertise. As alternatives, aerial photogrammetry and computer vision algorithms have emerged to obtain high-resolution 3D measurements of forest vegetation.This study proposes a novel approach utilizing a small drone under the forest canopy to estimate biometric parameters such as trunk diameter at various heights and circumference. By joining the capabilities of drones with the structure-from-motion approach, this study presents a promising solution for cost-effective and accurate estimation of biometric parameters in forest inventories. Moreover, the results demonstrate superior accuracy compared to those reported in previous studies with improvements up to one order of magnitude.http://www.sciencedirect.com/science/article/pii/S1569843223002509UAVTerrestrial structure from motion photogrammetryTerrestrial laser scannerDendrometric parametersAccuracy analysisPix4D |
| spellingShingle | Roberto Greco Emanuele Barca Pasi Raumonen Manuela Persia Patrizia Tartarino Methodology for measuring dendrometric parameters in a mediterranean forest with UAVs flying inside forest International Journal of Applied Earth Observations and Geoinformation UAV Terrestrial structure from motion photogrammetry Terrestrial laser scanner Dendrometric parameters Accuracy analysis Pix4D |
| title | Methodology for measuring dendrometric parameters in a mediterranean forest with UAVs flying inside forest |
| title_full | Methodology for measuring dendrometric parameters in a mediterranean forest with UAVs flying inside forest |
| title_fullStr | Methodology for measuring dendrometric parameters in a mediterranean forest with UAVs flying inside forest |
| title_full_unstemmed | Methodology for measuring dendrometric parameters in a mediterranean forest with UAVs flying inside forest |
| title_short | Methodology for measuring dendrometric parameters in a mediterranean forest with UAVs flying inside forest |
| title_sort | methodology for measuring dendrometric parameters in a mediterranean forest with uavs flying inside forest |
| topic | UAV Terrestrial structure from motion photogrammetry Terrestrial laser scanner Dendrometric parameters Accuracy analysis Pix4D |
| url | http://www.sciencedirect.com/science/article/pii/S1569843223002509 |
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