Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084713
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorARAUJO, L. S. de
dc.contributor.authorLOEBMANN, D. G. dos S. W.
dc.contributor.authorVICENTE, L. E.
dc.contributor.authorBENSUASKI, P. P.
dc.date.accessioned2018-01-09T23:14:26Z-
dc.date.available2018-01-09T23:14:26Z-
dc.date.created2018-01-09
dc.date.issued2017
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. Trabalho 59417.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1084713-
dc.descriptionAbstract: The objective of this work is to present a multi-temporal analysis of images for the identification, characterization and monitoring of rubber tree crops. The use of high and medium spatial resolution images along with vegetation index analysis and the inclusion of images from the crop´s different phenological stages enabled its mapping and characterization for 2007 and 2015. The dynamic analysis of the culture for the period between 2007 and 2015 showed a growth rate of 170%, which corroborated the data from LUPA for 2007/2008 to 2013.
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectTemporal analysis
dc.titleAbordagem semi-automática de imagens multitemporais para caracterização e monitoramento das florestas plantadas de seringueira.
dc.typeArtigo em anais e proceedings
dc.date.updated2018-03-12T11:11:11Zpt_BR
dc.subject.thesagroSensoriamento remoto
dc.subject.thesagroSeringueira
dc.subject.thesagroHevea Brasiliensispt_BR
dc.subject.thesagroHeveapt_BR
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusLandsatpt_BR
dc.subject.nalthesaurusrubberpt_BR
dc.format.extent2p. 0725-0732.
riaa.ainfo.id1084713
riaa.ainfo.lastupdate2018-03-12 -03:00:00
dc.contributor.institutionLUCIANA SPINELLI DE ARAUJO, CNPMA; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; LUIZ EDUARDO VICENTE, CNPMA; PAOLA PIERIN BENSUASKI, Faculdade de Tecnologia - Unicamp.
Aparece nas coleções:Artigo em anais de congresso (CNPMA)

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
2017AA33.pdf1,77 MBAdobe PDFThumbnail
Visualizar/Abrir

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace