USING AIRBORNE LIDAR DATA FOR ASSESSMENT OF FOREST FIRE FUEL LOAD POTENTIAL

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dc.authorid0000-0001-6558-9029en_US
dc.contributor.authorInan, M.
dc.contributor.authorBilici, E.
dc.contributor.authorAkay, Abdullah Emin
dc.date.accessioned2021-03-20T20:14:18Z
dc.date.available2021-03-20T20:14:18Z
dc.date.issued2017
dc.departmentBTÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.description4th International Workshop on Geoinformation Science / 4th ISPRS International Workshop on Multi-Dimensional and Multi-Scale Spatial Data Modeling (GeoAdvances) -- OCT 14-15, 2017 -- Karabuk Univ, Safranbolu Campus, Safranbolu, TURKEYen_US
dc.descriptionINAN, Muhittin/0000-0001-8179-9499; Akay, Abdullah Emin/0000-0001-6558-9029en_US
dc.description.abstractForest fire incidences are one of the most detrimental disasters that may cause long terms effects on forest ecosystems in many parts of the world. In order to minimize environmental damages of fires on forest ecosystems, the forested areas with high fire risk should be determined so that necessary precaution measurements can be implemented in those areas. Assessment of forest fire fuel load can be used to estimate forest fire risk. In order to estimate fuel load capacity, forestry parameters such as number of trees, tree height, tree diameter, crown diameter, and tree volume should be accurately measured. In recent years, with the advancements in remote sensing technology, it is possible to use airborne LIDAR for data estimation of forestry parameters. In this study, the capabilities of using LIDAR based point cloud data for assessment of the forest fuel load potential was investigated. The research area was chosen in the Istanbul Bentler series of Bahcekoy Forest Enterprise Directorate that composed of mixed deciduous forest structure.en_US
dc.description.sponsorshipInt Soc Photogrammetry & Remote Sensingen_US
dc.identifier.doi10.5194/isprs-annals-IV-4-W4-255-2017en_US
dc.identifier.endpage258en_US
dc.identifier.issn2194-9042
dc.identifier.issn2194-9050
dc.identifier.issueW4en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage255en_US
dc.identifier.urihttp://doi.org/10.5194/isprs-annals-IV-4-W4-255-2017
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1031
dc.identifier.volume4-4en_US
dc.identifier.wosWOS:000568997100038en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAkay, Abdullah Emin
dc.language.isoenen_US
dc.publisherCopernicus Gesellschaft Mbhen_US
dc.relation.ispartof4Th International Geoadvances Workshop - Geoadvances 2017: Isprs Workshop On Multi-Dimensional & Multi-Scale Spatial Data Modelingen_US
dc.relation.ispartofseriesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectLIDARen_US
dc.subjectForestryen_US
dc.subjectVoxel Point Cloud Segmentationen_US
dc.subjectForest Fire Risken_US
dc.subjectFuel Load Potentialen_US
dc.titleUSING AIRBORNE LIDAR DATA FOR ASSESSMENT OF FOREST FIRE FUEL LOAD POTENTIALen_US
dc.typeConference Objecten_US

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