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dc.contributor.authorGALVÍNCIO, J. D.pt_BR
dc.contributor.authorOLIVEIRA, T. H. dept_BR
dc.contributor.authorMOURA, M. S. B. dept_BR
dc.contributor.authorCOSTA, V. S. de O.pt_BR
dc.date.accessioned2016-10-03T11:11:11Zpt_BR
dc.date.available2016-10-03T11:11:11Zpt_BR
dc.date.created2016-10-03pt_BR
dc.date.issued2016pt_BR
dc.identifier.citationJournal of Hyperspectral Remote Sensing, v. 6, n. 2, p. 116-124, 2016.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1053969pt_BR
dc.descriptionEstimating with greater precision and accuracy the height of plants has been a challenge for the scientific community. The objective this study is to evaluate the spatial variation of tree heights at different spatial scales in areas of the city of Recife, Brazil, using LiDAR remote sensing data. The LiDAR data were processed in the QT Modeler (Quick Terrain Modeler v. 8.0.2) software from Applied Imagery. The TreeVaW software was utilized to estimate the heights and crown diameters of trees. The results obtained for tree height were consistent with field measurements.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectÁrea urbanapt_BR
dc.subjectAltura das árvorespt_BR
dc.subjectTreeVaWpt_BR
dc.subjectVariação espacialpt_BR
dc.titleAnalysis of spatial variation of tree heights in an urban area using LiDAR data.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2016-10-03T11:11:11Zpt_BR
dc.subject.thesagroÁrvorept_BR
dc.subject.thesagroSensoriamento remotopt_BR
dc.subject.nalthesaurusRemote sensingpt_BR
riaa.ainfo.id1053969pt_BR
riaa.ainfo.lastupdate2016-10-03pt_BR
dc.identifier.doi10.5935/2237-2202.20160012pt_BR
dc.contributor.institutionJOSICLÊDA D. GALVÍNCIO, Professora da Universidade Federal de Pernambuco - UFPE; TIAGO H. DE OLIVEIRA, CAPES/PVE; MAGNA SOELMA BESERRA DE MOURA, CPATSA; VALÉRIA S. DE O. COSTA.pt_BR
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