Application of handheld laser scanning technology for forest inventory purposes in the NE Turkey

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dc.authorid0000-0001-5552-5670en_US
dc.authorid0000-0001-8640-1443en_US
dc.contributor.authorVatandaşlar, Can
dc.contributor.authorZeybek, Mustafa
dc.date.accessioned2020-06-16T12:02:46Z
dc.date.available2020-06-16T12:02:46Z
dc.date.issued2020
dc.departmentAÇÜ, Mühendislik Fakültesien_US
dc.description.abstractForest inventory (FI) is the most challenging stage of forest management and planning process. Therefore, in situ surveys are often reinforced by modern remote sensing (RS) methods for collecting forestry-related data more efficiently. This study tests a state-of-the-art data collection method for practical use in the Turkish FI system for the first time. To this end, forest sampling plots were conventionally measured to collect dendrometric data from 437 trees in Artvin and Saçınka Forest Enterprises. Then, each plot was scanned using a handheld mobile laser scanning (HMLS) instrument. Finally, HMLS data were compared against ground measurements via basic FI measures. Based on statistical tests, no apparent differences were found between the two datasets at the plot level (P < 0.05). There were also robust correlations for diameter breast height at individual tree level (r > 0.97; P < 0.01). Residual analysis showed that both positive and negative errors had a homogeneous distribution, except for plot 8 where tree stems were in irregular shapes due to anthropogenic pressures. When all plots’ data were aggregated, average values for the number of trees, basal area, and timber volume were estimated as 535 trees/ha–1, 49.6 m2/ha–1, and 499.7 m3/ha–1, respectively. Furthermore, secondary measures such as the number of saplings and slope were successfully retrieved using HMLS method. The highest overestimation was in timber volume with less than 10% difference at the landscape level. The differences were attributed to poor data quality of conventional measurements, as well as marginal site conditions in some plots. We concluded that the HMLS method met the accuracy standards for most FI measures, except for stand height. Thus, the Turkish FI system could benefit from this novel technology, which in turn supports the implementation of sound forest management and planning.
dc.identifier.citationVatandaşlar, C., & Zeybek, M. (2020). Application of handheld laser scanning technology for forest inventory purposes in the NE Turkey. Turkish Journal of Agriculture and Forestry, 44(3), 229-242.en_US
dc.identifier.doi10.3906/tar-1903-40
dc.identifier.endpage242en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage229en_US
dc.identifier.urihttps://hdl.handle.net/11494/2102
dc.identifier.volume44en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorVatandaşlar, Can
dc.language.isoenen_US
dc.publisherTurkiye Kliniklerien_US
dc.relation.ispartofTurkish Journal of Agriculture and Forestry
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectArtvin Provinceen_US
dc.subjectForest inventoryen_US
dc.subjectForest managementen_US
dc.subjectGeoSLAM Zeb Revoen_US
dc.subjectLiDARen_US
dc.subjectMobile laser scanningen_US
dc.titleApplication of handheld laser scanning technology for forest inventory purposes in the NE Turkeyen_US
dc.typeArticle

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