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Forests 2016, 7(3), 61; doi:10.3390/f7030061

Estimation of Tree Stem Attributes Using Terrestrial Photogrammetry with a Camera Rig

1
Department of Forest Resource Management, Swedish University of Agricultural Sciences, 90183 Umeå, Sweden
2
Department of Computing Science, Umeå University, 90187, Umeå, Sweden
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Juha Hyyppa, Xinlian Liang and Eetu Puttonen
Received: 16 September 2015 / Revised: 24 February 2016 / Accepted: 26 February 2016 / Published: 8 March 2016
(This article belongs to the Special Issue Forest Ground Observations through Terrestrial Point Clouds)
View Full-Text   |   Download PDF [16837 KB, uploaded 8 March 2016]   |  

Abstract

We propose a novel photogrammetric method for field plot inventory, designed for simplicity and time efficiency on-site. A prototype multi-camera rig was used to acquire images from field plot centers in multiple directions. The acquisition time on-site was less than two minutes. From each view, a point cloud was generated using a novel, rig-based matching of detected SIFT keypoints. Stems were detected in the merged point cloud, and their positions and diameters were estimated. The method was evaluated on 25 hemi-boreal forest plots of a 10-m radius. Due to difficult lighting conditions and faulty hardware, imagery from only six field plots was processed. The method performed best on three plots with clearly visible stems with a 76% detection rate and 0% commission. Diameters could be estimated for 40% of the stems with an RMSE of 2.8–9.5 cm. The results are comparable to other camera-based methods evaluated in a similar manner. The results are inferior to TLS-based methods. However, our method is easily extended to multiple station image schemas, something that could significantly improve the results while retaining low commission errors and time on-site. Furthermore, with smaller hardware, we believe this could be a useful technique for measuring stem attributes in the forest. View Full-Text
Keywords: forest inventory; point cloud; circle estimation; mobile mapping; stem diameter forest inventory; point cloud; circle estimation; mobile mapping; stem diameter
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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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MDPI and ACS Style

Forsman, M.; Börlin, N.; Holmgren, J. Estimation of Tree Stem Attributes Using Terrestrial Photogrammetry with a Camera Rig. Forests 2016, 7, 61.

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