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dc.contributor.authorBirdal, Anıl Can
dc.contributor.authorAvdan, Uğur
dc.contributor.authorTürk, Tarık
dc.date.accessioned2019-10-23T17:56:12Z
dc.date.available2019-10-23T17:56:12Z
dc.date.issued2017
dc.identifier.issn1947-5705
dc.identifier.issn1947-5713
dc.identifier.urihttps://dx.doi.org/10.1080/19475705.2017.1300608
dc.identifier.urihttps://hdl.handle.net/11421/22878
dc.descriptionWOS: 000418899200055en_US
dc.description.abstractUnmanned aerial vehicles (UAV) have been used in a variety of fields in the last decade. In forestry, they have been used to estimate tree heights and crowns with different sensors. This approach, with a consumer-grade onboard system camera, is becoming popular because it is cheaper and faster than traditional photogrammetric methods and UAV-light detecting and ranging systems (UAV-LiDAR). In this study, UAV-based imagery reconstruction, processing, and local maximum filter methods are used to obtain individual tree heights from a coniferous urban forest. A low-cost onboard camera and a UAV with a 96-cm wingspan made it possible to acquire high resolution aerial images (6.41 cm average ground sampling distance), ortho-images, digital elevation models, and point clouds in one flight. Canopy height model, obtained by extracting the digital surface model from the digital terrain model, was filtered locally based on the pixel-based window size using the provided algorithm. For accuracy assessment, ground-based tree height measurements were made. There was a high 94% correlation and a root-mean-square error of 28 cm. This study highlights the accuracy of the method and compares favourably to more expensive methods.en_US
dc.description.sponsorshipAnadolu University of Turkey, Scientific Research Projects department [1407F356]en_US
dc.description.sponsorshipThe authors would like to thank Anadolu University of Turkey, Scientific Research Projects department for funding 1407F356 numbered project called ''Determination of Tree Heights Using Unmanned Air Vehicles (Eskisehir Urban Forest Example)''. Also, we acknowledge Anadolu University of Turkey, Research Institute of Earth and Space Sciences for allowing us the usage of UAV platform and other tools required in the process.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francis LTDen_US
dc.relation.isversionof10.1080/19475705.2017.1300608en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectUnmanned Aerial Vehiclesen_US
dc.subjectTree Height Detectionen_US
dc.subjectPhotogrammetryen_US
dc.subjectImage Processingen_US
dc.subjectLocal Maximum Filteren_US
dc.subjectConsumer-Grade Camerasen_US
dc.titleEstimating tree heights with images from an unmanned aerial vehicleen_US
dc.typearticleen_US
dc.relation.journalGeomatics Natural Hazards & Risken_US
dc.contributor.departmentAnadolu Üniversitesi, Yer ve Uzay Bilimleri Enstitüsüen_US
dc.identifier.volume8en_US
dc.identifier.issue2en_US
dc.identifier.startpage1144en_US
dc.identifier.endpage1156en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US]
dc.contributor.institutionauthorAvdan, Uğur


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