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dc.contributor.authorSCARAMUZZA, C. A. de M.
dc.contributor.authorSANO, E. E.
dc.contributor.authorADAMI, M.
dc.contributor.authorBOLFE, E. L.
dc.contributor.authorCOUTINHO, A. C.
dc.contributor.authorESQUERDO, J. C. D. M.
dc.contributor.authorMAURANO, L. E. P.
dc.contributor.authorNARVAES, I. da S.
dc.contributor.authorOLIVEIRA FILHO, F. J. B. de
dc.contributor.authorROSA, R.
dc.contributor.authorSILVA, E. B. da
dc.contributor.authorVALERIANO, D. de M.
dc.contributor.authorVICTORIA, D. de C.
dc.contributor.authorBAYMA, A. P.
dc.contributor.authorOLIVEIRA, G. H. de
dc.contributor.authorSILVA, G. B. S. da
dc.date.accessioned2018-04-28T00:40:10Z-
dc.date.available2018-04-28T00:40:10Z-
dc.date.created2018-04-27
dc.date.issued2017
dc.identifier.citationRevista Brasileira de Cartografia, Rio de Janeiro, v. 69, n. 6, p. 1041-1051, jun. 2017.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1090969-
dc.descriptionThe Brazilian Cerrado is one of the world´s biodiversity hotspot and hosts some of the most intensive agricultural activities for food production in the world. The objective of this study was to produce a land-use and land-cover (LULC) map of the Cerrado based on Landsat-8 Operational Land Imager (OLI) images. A set of 121 scenes from 2013 was processed using the image segmentation technique. The segments were exported in the shapefile format and interpreted visually in a geographical information system software using RGB/564 color composites. The following LULC classes were considered: annual croplands, perennial croplands, cultivated pasturelands, reforestation, mosaic of occupation, urban areas, mining areas, bare soil, forestlands, non-forestlands, water bodies, and non-identified (clouds and burned areas). The overall accuracy was estimated by an independent scientist with large experience in Cerrado´s image interpretation. The results showed that 43.4% of the study area (88.5 million hectares) were already converted into agricultural, urban and mining areas, 54.6% (111 million hectares) were still natural areas, and 1.9% (3.9 million hectares) was classified as non-identified. Cultivated pasturelands were the most representative land-use type (29.5%), followed by annual croplands (8.5%) and perennial croplands (3.1%). The overall accuracy of the final map was 80.2%.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectSavana tropical
dc.subjectUso da cobertura
dc.subjectOcupação da terra
dc.titleLand-use and land-cover mapping of the Brazilian cerrado based mainly on Landsat-8 satellite images.
dc.typeArtigo de periódico
dc.date.updated2018-05-02T11:11:11Zpt_BR
dc.subject.thesagroSensoriamento remoto
dc.subject.thesagroUso da terra
dc.subject.thesagroCerrado
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusLand cover
dc.subject.nalthesaurusLand use
dc.description.notesTítulo em português: Mapeamento de uso e cobertura de terras do cerrado com base principalmente em imagens do satélite Landsat-8.
riaa.ainfo.id1090969
riaa.ainfo.lastupdate2018-05-02 -03:00:00
dc.contributor.institutionCARLOS ALBERTO DE MATTOS SCARAMUZZA, Ministério do Meio Ambiente (MMA); EDSON EYI SANO, Ibama; MARCOS ADAMI, Inpe; EDSON LUIS BOLFE, SIM; ALEXANDRE CAMARGO COUTINHO, CNPTIA; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA; LUÍS EDUARDO PINHEIRO MAURANO, Inpe; IGOR DA SILVA NARVAES, Inpe; FRANCISCO JOSÉ BARBOSA DE OLIVEIRA FILHO, MMA; ROBERTO ROSA, UFU; ELAINE BARBOSA DA SILVA, UFG; DALTON DE MORRISON VALERIANO, Inpe; DANIEL DE CASTRO VICTORIA, CNPTIA; ADRIANA PANHOL BAYMA, MMA; GUSTAVO HENRIQUE DE OLIVEIRA, MMA; GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPMA.
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