Extraction of forest inventory parameters using handheld mobile laser scanning: A case study from Trabzon, Turkey

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dc.authorid0000-0001-5552-5670en_US
dc.contributor.authorVatandaşlar, Can
dc.contributor.authorZeybek, Mustafa
dc.contributor.institutionauthorVatandaşlar, Can
dc.contributor.institutionauthorZeybek, Mustafa
dc.date.accessioned2021-06-03T12:51:35Z
dc.date.available2021-06-03T12:51:35Z
dc.date.issued2021en_US
dc.departmentAÇÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.description.abstractForest inventory (FI) surveys are cumbersome when field measurements are performed by manual means. We propose a semi-automated data collection approach using handheld mobile laser scanning (HMLS) to estimate and map key FI parameters. To this end, machine learning (e.g., random forest classifier for tree detection) and innovative algorithms (e.g., ellipse fitting for diameter estimation of noncircular trees) were used for the first time in FI surveying. After surveying nine plots, we compared HMLS-derived data against the field reference. HMLS-derived tree diameters (DBHs) were strongly correlated with the reference data at the single-tree level (r= 0.93–0.99; p< 0.001). At the plot level, HMLS slightly overestimated DBHs in complex plots due to the influence of undergrowth and creepers on trunks. Yet, no statistically significant difference was found between the two datasets (p> 0.05). Overall, HMLS was concluded as efficient and effective tool for FIs, even if used alone.en_US
dc.identifier.citationVatandaşlar, C., & Zeybek, M. (2021). Extraction of forest inventory parameters using handheld mobile laser scanning: A case study from Trabzon, Turkey. Measurement, 177, 109328.en_US
dc.identifier.doi10.1016/j.measurement.2021.109328en_US
dc.identifier.urihttps://hdl.handle.net/11494/3209
dc.identifier.volume177en_US
dc.language.isoengen_US
dc.publisherElsevier B.V.en_US
dc.relation.journalMeasurement: Journal of the International Measurement Confederationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCrown closureen_US
dc.subjectIndividual tree extractionen_US
dc.subjectLight detection and ranging (LiDAR)en_US
dc.subjectMachine learningen_US
dc.subjectTree attributesen_US
dc.titleExtraction of forest inventory parameters using handheld mobile laser scanning: A case study from Trabzon, Turkeyen_US
dc.typearticleen_US

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