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ISPRS Int. J. Geo-Inf. 2018, 7(3), 93; https://doi.org/10.3390/ijgi7030093

Evaluation of Close-Range Photogrammetry Image Collection Methods for Estimating Tree Diameters

1
Department of Forest Management and Geodesy, Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, Zvolen 96053, Slovakia
2
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, 16500 Praha 6, Suchdol, Czech Republic
3
Finnish Geospatial Research Institute, Geodeetinrinne 2, FI-02430 Masala, Finland
4
Centre of Excellence in Laser Scanning Research, Academy of Finland, 02430 Helsinki, Finland
5
Department of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka 24, Zvolen 96053, Slovakia
*
Author to whom correspondence should be addressed.
Received: 18 January 2018 / Revised: 22 February 2018 / Accepted: 7 March 2018 / Published: 11 March 2018
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Abstract

The potential of close-range photogrammetry (CRP) to compete with terrestrial laser scanning (TLS) to produce dense and accurate point clouds has increased in recent years. The use of CRP for estimating tree diameter at breast height (DBH) has multiple advantages over TLS. For example, point clouds from CRP are similar to TLS, but hardware costs are significantly lower. However, a number of data collection issues need to be clarified before the use of CRP in forested areas is considered effective. In this paper we focused on different CRP data collection methods to estimate DBH. We present seven methods that differ in camera orientation, shooting mode, data collection path, and other important factors. The methods were tested on a research plot comprised of European beeches (Fagus sylvatica L.). The circle-fitting algorithm was used to estimate DBH. Four of the seven methods were capable of producing a dense point cloud. The tree detection rate varied from 49% to 81%. Estimates of DBH produced a root mean square error that varied from 4.41 cm to 5.98 cm. The most accurate method was achieved using a vertical camera orientation, stop-and-go shooting mode, and a path leading around the plot with two diagonal paths through the plot. This method also had the highest rate of tree detection (81%). View Full-Text
Keywords: close-range photogrammetry; diameter at breast height; point cloud; circle fitting; forestry close-range photogrammetry; diameter at breast height; point cloud; circle fitting; forestry
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Mokroš, M.; Liang, X.; Surový, P.; Valent, P.; Čerňava, J.; Chudý, F.; Tunák, D.; Saloň, Š.; Merganič, J. Evaluation of Close-Range Photogrammetry Image Collection Methods for Estimating Tree Diameters. ISPRS Int. J. Geo-Inf. 2018, 7, 93.

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