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Forests 2018, 9(11), 696; https://doi.org/10.3390/f9110696

High Precision Individual Tree Diameter and Perimeter Estimation from Close-Range Photogrammetry

1
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, 165 21 Praha 6–Suchdol, Czech Republic
2
Department of Forest Management and Geodesy, Faculty of Forestry, Technical University in Zvolen, 96053 Zvolen, Slovakia
3
Department of Economics and Management of Forestry, Faculty of Forestry, Technical University in Zvolen, 96053 Zvolen, Slovakia
4
Department of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, 96053 Zvolen, Slovakia
*
Author to whom correspondence should be addressed.
Received: 11 October 2018 / Revised: 7 November 2018 / Accepted: 8 November 2018 / Published: 10 November 2018
(This article belongs to the Special Issue Forest Landscape Management: From Data to Decision)
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Abstract

Close-range photogrammetry (CRP) can be used to provide precise and detailed three-dimensional data of objects. For several years, CRP has been a subject of research in forestry. Several studies have focused on tree reconstruction at the forest stand, plot, and tree levels. In our study, we focused on the reconstruction of trees separately within the forest stand. We investigated the influence of camera lens, tree species, and height of diameter on the accuracy of the tree perimeter and diameter estimation. Furthermore, we investigated the variance of the perimeter and diameter reference measurements. We chose four tree species (Fagus sylvatica L., Quercus petraea (Matt.) Liebl., Picea abies (L.) H. Karst. and Abies alba Mill.). The perimeters and diameters were measured at three height levels (0.8 m, 1.3 m, and 1.8 m) and two types of lenses were used. The data acquisition followed a circle around the tree at a 3 m radius. The highest accuracy of the perimeter estimation was achieved when a fisheye lens was used at a height of 1.3 m for Fagus sylvatica (root mean square error of 0.25 cm). Alternatively, the worst accuracy was achieved when a non-fisheye lens was used at 1.3 m for Quercus petraea (root mean square error of 1.27 cm). The tree species affected the estimation accuracy for both diameters and perimeters. View Full-Text
Keywords: close-range photogrammetry; trunk perimeter; trunk diameter; point cloud; circle fitting; convex hull; fisheye lens close-range photogrammetry; trunk perimeter; trunk diameter; point cloud; circle fitting; convex hull; fisheye lens
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Mokroš, M.; Výbošťok, J.; Tomaštík, J.; Grznárová, A.; Valent, P.; Slavík, M.; Merganič, J. High Precision Individual Tree Diameter and Perimeter Estimation from Close-Range Photogrammetry. Forests 2018, 9, 696.

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