Development and validation of a photo-based measurement system to calculate the debarking percentages of processed logs

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dc.contributor.authorHeppelmann, Joachim B.en_ZA
dc.contributor.authorLabelle, Eric R.en_ZA
dc.contributor.authorSeifert, Thomasen_ZA
dc.contributor.authorSeifert, Stefanen_ZA
dc.contributor.authorWittkopf, Stefanen_ZA
dc.date.accessioned2021-09-22T14:03:06Z
dc.date.available2021-09-22T14:03:06Z
dc.date.issued2019
dc.descriptionCITATION: Heppelmann, J. B., et al. 2019. Development and validation of a photo-based measurement system to calculate the debarking percentages of processed logs. Remote Sensing, 11(9):1133, doi:10.3390/rs11091133.
dc.descriptionThe original publication is available at http://www.mdpi.com
dc.description.abstractENGLISH ABSTRACT: 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.en_ZA
dc.description.urihttps://www.mdpi.com/2072-4292/11/9/1133
dc.description.versionPublisher's version
dc.format.extent16 pagesen_ZA
dc.identifier.citationHeppelmann, J. B., et al. 2019. Development and validation of a photo-based measurement system to calculate the debarking percentages of processed logs. Remote Sensing, 11(9):1133, doi:10.3390/rs11091133
dc.identifier.issn2072-4292 (online)
dc.identifier.otherdoi:10.3390/rs11091133
dc.identifier.urihttp://hdl.handle.net/10019.1/123074
dc.language.isoen_ZAen_ZA
dc.publisherMDPIen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectBiomassen_ZA
dc.subjectDebarking -- Harvesting headsen_ZA
dc.subjectRemote sensingen_ZA
dc.subjectForest managementen_ZA
dc.subjectForests and forestry -- Measurementen_ZA
dc.titleDevelopment and validation of a photo-based measurement system to calculate the debarking percentages of processed logsen_ZA
dc.typeArticleen_ZA
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