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Open AccessArticle

Development and Validation of a Photo-Based Measurement System to Calculate the Debarking Percentages of Processed Logs

1
University of Applied Science Weihenstephan-Triesdorf, Hans-Carl-von-Carlowitz-Platz 3, D-85354 Freising, Germany
2
Assistant Professorship of Forest Operations, Department of Ecology and Ecosystem Management, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, D-85354 Freising, Germany
3
Scientes Mondium UG, Ruppertskirchen 5, D-85250 Altomünster, Germany
4
Department of Forest and Wood Science, Stellenbosch University, Private Bag X1, 7602 Matieland, South Africa
*
Authors to whom correspondence should be addressed.
Remote Sens. 2019, 11(9), 1133; https://doi.org/10.3390/rs11091133
Received: 29 March 2019 / Revised: 29 April 2019 / Accepted: 10 May 2019 / Published: 12 May 2019
(This article belongs to the Special Issue Advances in Active Remote Sensing of Forests)
Within a research project investigating the applicability and performance of modified harvesting heads used during the debarking of coniferous tree species, the actual debarking percentage of processed logs needed to be evaluated. Therefore, a computer-based photo-optical measurement system (Stemsurf) designed to assess the debarking percentage recorded in the field was developed, tested under laboratory conditions, and applied in live field operations. In total, 1720 processed logs of coniferous species from modified harvesting heads were recorded and analyzed within Stemsurf. With a single log image as the input, the overall debarking percentage was calculated by further estimating the un-displayed part of the log surface by defining polygons representing the differently debarked areas of the log surface. To assess the precision and bias of the developed measurement system, 480 images were captured under laboratory conditions on an artificial log with defined surface polygons. Within the laboratory test, the standard deviation of average debarking percentages remained within a 4% variation. A positive bias of 6.7% was caused by distortion and perspective effects. This resulted in an average underestimation of 1.1% for the summer debarking percentages gathered from field operations. The software generally performed as anticipated through field and lab testing and offered a suitable alternative of assessing stem debarking percentage, a task that should increase in importance as more operations are targeting debarked products. View Full-Text
Keywords: debarking harvesting heads; biomass; photo-optical measurements; forest operations; software; remote sensing debarking harvesting heads; biomass; photo-optical measurements; forest operations; software; remote sensing
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Heppelmann, J.B.; Labelle, E.R.; Seifert, T.; Seifert, S.; Wittkopf, S. Development and Validation of a Photo-Based Measurement System to Calculate the Debarking Percentages of Processed Logs. Remote Sens. 2019, 11, 1133.

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