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dc.creatorKovačević, Jovan
dc.creatorStančić, Nikola
dc.creatorCvijetinović, Željko
dc.creatorBrodić, Nenad
dc.creatorMihajlović, Dragan
dc.date.accessioned2023-01-12T07:48:38Z
dc.date.available2023-01-12T07:48:38Z
dc.date.issued2023
dc.identifier.issn1820 - 4511
dc.identifier.urihttps://grafar.grf.bg.ac.rs/handle/123456789/2987
dc.description.abstractAirborne Laser Scanning (ALS) is one of the most popular and cost-effective approaches for collecting Digital Elevation Model (DEM) data. This especially applies to large areas, forested areas, areas with dense vegetation and urban environments. The ALS results in a vast amount of data in the form of point clouds. Successful use of such data requires applying semi-automatic and automatic approaches to classify points according to which objects or phenomena it represents. LAStools software package represents a set of highly efficient tools for processing ALS data. Through this study, the functionality of the LAStools software package for DEM generation has been analyzed. The proposed procedure for generating DEM products from ALS point cloud with LAStools has been determined and presented. The study also focuses on the important parameters of each tool in the proposed DEM procedure, with a special focus on advantages and disadvantages, possibilities and limitations.sr
dc.language.isoensr
dc.publisherIPSI, Dalmatinska 55, 11000 Belgrade, Serbiasr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/36020/RS//sr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceIPSI Transactions on Advanced Researchsr
dc.subjectAirborne Laser Scanningsr
dc.subjectLiDARsr
dc.subjectLAStoolssr
dc.subjectDigital Elevation Modelsr
dc.subjectterrainsr
dc.titleAirborne Laser Scanning to Digital Elevation Model – LAStools approachsr
dc.typearticlesr
dc.rights.licenseBY-NC-NDsr
dc.citation.epage17
dc.citation.issue1
dc.citation.spage13
dc.citation.volume19
dc.identifier.fulltexthttp://grafar.grf.bg.ac.rs/bitstream/id/11349/p3.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_grafar_2987
dc.type.versionpublishedVersionsr


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