An assessment of conventional and drone-based measurements for tree attributes in timber volume estimation: A case study on stone pine plantation

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dc.authorid0000-0001-6558-9029en_US
dc.authorid0000-0002-4504-6876en_US
dc.authorscopusid8536301500en_US
dc.contributor.authorGülci S.
dc.contributor.authorAkay, Abdullah Emin
dc.contributor.authorGülci N.
dc.contributor.authorTaş, İnanç
dc.date.accessioned2022-04-01T11:48:48Z
dc.date.available2022-04-01T11:48:48Z
dc.date.issued2021en_US
dc.departmentBTÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.description.abstractThe use of unmanned aerial vehicles (UAVs) as a useful tool in forestry studies is increasing rapidly. The level of accuracy in UAV-supported measurement data has been increasing in the field of forestry. Recently, biophysical and morphological tree information has been calculated using the three-dimensional (3D) point cloud data. The accuracy of studies on different types of trees (i.e. coniferous and deciduous) may vary depending on the selected instruments and methods. Within the scope of the present study, height (H) and crown projection area (CPA) of 105 stone pines (Pinus pinea, L.) measured using both conventional methods and UAV-based Structure-from-Motion (SfM) derived 3D dense point cloud were evaluated. Tree volumes in the study area were calculated using the allometric formulas generated based on the linear diameter model produced with the field measurements. For field measurements and UAV based data, the tree volumes were calculated using the single- and double-entry over-bark stem volume equations, and their numerical comparisons were conducted. To search for the differences, RMSE (Root mean square error), RMSE% (Root mean square percentage error), MAE (Mean absolute error) and MAE% (Mean absolute percentage error) values were taken into consideration. According to the results of the paired t-test, it was revealed that there were no significant differences between the field- and SfM- measurements based methods. Considering the average values instead of individual (single) trees in the information obtained using the 3D point cloud in such stands gave more accurate results. It was found that forest parameters at plot levels in stands could be quickly revealed by UAV photogrammetry. In addition, these data can be evaluated as a metric measurement technique for sustainable and precise operational planning in forest lands.en_US
dc.identifier.doi10.1016/j.ecoinf.2021.101303en_US
dc.identifier.issn15749541
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1836
dc.identifier.volume63en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAkay, Abdullah Emin
dc.institutionauthorTaş, İnanç
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofEcological Informaticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCanopy height modelen_US
dc.subjectField surveyen_US
dc.subjectForest landscapeen_US
dc.subjectLow-cost studyen_US
dc.subjectPrecision forestryen_US
dc.subjectUAV photogrammetryen_US
dc.titleAn assessment of conventional and drone-based measurements for tree attributes in timber volume estimation: A case study on stone pine plantationen_US
dc.typeArticleen_US

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