Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
03/10/2016 |
Data da última atualização: |
03/10/2016 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
GALVÍNCIO, J. D.; OLIVEIRA, T. H. de; MOURA, M. S. B. de; COSTA, V. S. de O. |
Afiliação: |
JOSICLÊDA 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. |
Título: |
Analysis of spatial variation of tree heights in an urban area using LiDAR data. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Journal of Hyperspectral Remote Sensing, v. 6, n. 2, p. 116-124, 2016. |
DOI: |
10.5935/2237-2202.20160012 |
Idioma: |
Inglês |
Conteúdo: |
Estimating 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. |
Palavras-Chave: |
Altura das árvores; Área urbana; TreeVaW; Variação espacial. |
Thesagro: |
Árvore; Sensoriamento remoto. |
Thesaurus Nal: |
Remote sensing. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/148179/1/Magna-1.pdf
|
Marc: |
LEADER 01346naa a2200253 a 4500 001 2053969 005 2016-10-03 008 2016 bl uuuu u00u1 u #d 024 7 $a10.5935/2237-2202.20160012$2DOI 100 1 $aGALVÍNCIO, J. D. 245 $aAnalysis of spatial variation of tree heights in an urban area using LiDAR data.$h[electronic resource] 260 $c2016 520 $aEstimating 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. 650 $aRemote sensing 650 $aÁrvore 650 $aSensoriamento remoto 653 $aAltura das árvores 653 $aÁrea urbana 653 $aTreeVaW 653 $aVariação espacial 700 1 $aOLIVEIRA, T. H. de 700 1 $aMOURA, M. S. B. de 700 1 $aCOSTA, V. S. de O. 773 $tJournal of Hyperspectral Remote Sensing$gv. 6, n. 2, p. 116-124, 2016.
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Registro original: |
Embrapa Semiárido (CPATSA) |