Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1113324
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dc.contributor.authorPANTOJA, N.eng
dc.contributor.authorBEUCHLE, R.eng
dc.contributor.authorOLIVEIRA, M. V. N. d'eng
dc.contributor.authorCASSOL, H.eng
dc.contributor.authorLUI, G.eng
dc.date.accessioned2019-10-22T00:36:13Z-
dc.date.available2019-10-22T00:36:13Z-
dc.date.created2019-10-21
dc.date.issued2019
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos, SP. Anais... São José dos Campos: Inpe, 2019.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1113324-
dc.descriptionThis work presents a approach for monitoring forest degradation in the Brazilian Amazon using a multi-temporal dataset of Landsat-8 imagery. We use a Normalized Burned Ratio (NBR) for detecting selective logging in two differents areas in the Brazilian Amazon, Acre State and the Roraima State. The proposed approach can be used for monitoring forest degradation to availability the vegetation indice using the proposed method and facilitating the implementation of action of forest protection in the Brazilian Amazon.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectMonitoreo ambientaleng
dc.subjectSelective loggingeng
dc.subjectExploración forestaleng
dc.subjectDegradación ambientaleng
dc.subjectTeledeteccióneng
dc.subjectNormalized Burned Ratio (NBR)eng
dc.subjectAcreeng
dc.subjectRoraimaeng
dc.titleThe potential for operational monitoring of selectively logged forest using vegetation index in the brazilian Amazon.eng
dc.typeArtigo em anais e proceedingseng
dc.date.updated2019-10-28T11:11:11Z
dc.subject.thesagroExploração Florestaleng
dc.subject.thesagroSensoriamento Remotoeng
dc.subject.thesagroExtração da Madeiraeng
dc.subject.thesagroDegradação Ambientaleng
dc.subject.thesagroImpacto Ambientaleng
dc.subject.nalthesaurusEnvironmental degradationeng
dc.subject.nalthesaurusEnvironmental impacteng
dc.subject.nalthesaurusEnvironmental monitoringeng
dc.subject.nalthesaurusRemote sensingeng
dc.subject.nalthesaurusLandsateng
dc.description.notesEditores: Douglas Francisco Marcolino Gherardi; Ieda Del'Arco Sanches; Luiz Eduardo Oliveira e Cruz de Aragão.eng
dc.format.extent24 p.eng
riaa.ainfo.id1113324eng
riaa.ainfo.lastupdate2019-10-28 -03:00:00
dc.identifier.doi978-85-17-00097-3eng
dc.contributor.institutionNara Pantoja, Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis - IBAMAeng
dc.contributor.institutionRené Beuchle, Joint Research Centre - JRCeng
dc.contributor.institutionMARCUS VINICIO NEVES D OLIVEIRA, CPAF-ACeng
dc.contributor.institutionHenrique Cassol, Instituto Nacional de Pesquisas Espaciais - INPEeng
dc.contributor.institutionGabriel Lui, Ministério do Meio Ambiente – MMA.eng
Appears in Collections:Artigo em anais de congresso (CPAF-AC)

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