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Article

Effective UAV Photogrammetry for Forest Management: New Insights on Side Overlap and Flight Parameters

1
National School of Surveying, University of Otago, 310 Castle Street, P.O. Box 56, Dunedin 9054, New Zealand
2
Scion, 49 Sala Street, Private Bag 3020, Rotorua 3046, New Zealand
3
School of Geography, University of Otago, 85 Albany Street, P.O. Box 56, Dunedin 9054, New Zealand
*
Author to whom correspondence should be addressed.
Forests 2024, 15(12), 2135; https://doi.org/10.3390/f15122135
Submission received: 1 October 2024 / Revised: 26 November 2024 / Accepted: 27 November 2024 / Published: 2 December 2024
(This article belongs to the Special Issue Image Processing for Forest Characterization)

Abstract

Silvicultural operations such as planting, pruning, and thinning are vital for the forest value chain, requiring efficient monitoring to prevent value loss. While effective, traditional field plots are time-consuming, costly, spatially limited, and rely on assumptions that they adequately represent a wider area. Alternatively, unmanned aerial vehicles (UAVs) can cover large areas while keeping operators safe from hazards including steep terrain. Despite their utility, optimal flight parameters to ensure flight efficiency and data quality remain under-researched. This study evaluated the impact of forward and side overlap and flight altitude on the quality of two- and three-dimensional spatial data products from UAV photogrammetry (UAV-SfM) for assessing stand density in a recently thinned Pinus radiata D. Don plantation. A contemporaneously acquired UAV laser scanner (ULS) point cloud provided reference data. The results indicate that the optimal UAV-SfM flight parameters are 90% forward and 85% side overlap at a 120 m altitude. Flights at an 80 m altitude offered marginal resolution improvement (2.2 cm compared to 3.2 cm ground sample distance/GSD) but took longer and were more error-prone. Individual tree detection (ITD) for stand density assessment was then applied to both UAV-SfM and ULS canopy height models (CHMs). Manual cleaning of the detected ULS tree peaks provided ground truth for both methods. UAV-SfM had a lower recall (0.85 vs. 0.94) but a higher precision (0.97 vs. 0.95) compared to ULS. Overall, the F-score indicated no significant difference between a prosumer-grade photogrammetric UAV and an industrial-grade ULS for stand density assessments, demonstrating the efficacy of affordable, off-the-shelf UAV technology for forest managers. Furthermore, in addressing the knowledge gap regarding optimal UAV flight parameters for conducting operational forestry assessments, this study provides valuable insights into the importance of side overlap for orthomosaic quality in forest environments.
Keywords: UAV; SfM; Pinus radiata; silviculture; individual tree detection; orthomosaic quality; thinning UAV; SfM; Pinus radiata; silviculture; individual tree detection; orthomosaic quality; thinning
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MDPI and ACS Style

Dhruva, A.; Hartley, R.J.L.; Redpath, T.A.N.; Estarija, H.J.C.; Cajes, D.; Massam, P.D. Effective UAV Photogrammetry for Forest Management: New Insights on Side Overlap and Flight Parameters. Forests 2024, 15, 2135. https://doi.org/10.3390/f15122135

AMA Style

Dhruva A, Hartley RJL, Redpath TAN, Estarija HJC, Cajes D, Massam PD. Effective UAV Photogrammetry for Forest Management: New Insights on Side Overlap and Flight Parameters. Forests. 2024; 15(12):2135. https://doi.org/10.3390/f15122135

Chicago/Turabian Style

Dhruva, Atman, Robin J. L. Hartley, Todd A. N. Redpath, Honey Jane C. Estarija, David Cajes, and Peter D. Massam. 2024. "Effective UAV Photogrammetry for Forest Management: New Insights on Side Overlap and Flight Parameters" Forests 15, no. 12: 2135. https://doi.org/10.3390/f15122135

APA Style

Dhruva, A., Hartley, R. J. L., Redpath, T. A. N., Estarija, H. J. C., Cajes, D., & Massam, P. D. (2024). Effective UAV Photogrammetry for Forest Management: New Insights on Side Overlap and Flight Parameters. Forests, 15(12), 2135. https://doi.org/10.3390/f15122135

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