Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1067802
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dc.contributor.authorALVES, H. M. R.pt_BR
dc.contributor.authorVOLPATO, M. M. L.pt_BR
dc.contributor.authorVIEIRA, T. G. C.pt_BR
dc.contributor.authorMACIEL, D. A.pt_BR
dc.contributor.authorGONÇALVES, T. G.pt_BR
dc.contributor.authorDANTAS, M. F.pt_BR
dc.date.accessioned2017-03-29T11:11:11Zpt_BR
dc.date.available2017-03-29T11:11:11Zpt_BR
dc.date.created2017-03-29pt_BR
dc.date.issued2016pt_BR
dc.identifier.citationIn: THE INTERNATIONAL SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING, 23., 2016, Prague, Czeach Republic. Proceedings...pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1067802pt_BR
dc.descriptionIn Brazil, coffee production has great economic and social importance. Despite this fact, there is still a shortage of information regarding its spatial distribution, crop management and environment. The aim of this study was to carry out spectral monitoring of coffee lands and to characterize their environments using geotechnologies. Coffee fields with contiguous areas over 0.01 km2 within a 488.5 km2 region in the south of Minas Gerais state were selected for the study. Spectral data from the sensors OLI/Landsat 8 and the Shuttle Radar Topography Mission from 2014 to 2015 were obtained, as well as information on production areas, surface temperature, vegetation indexes, altitude and slope, were gathered and analyzed. The results indicate that there is great variation in the NDVI and NDWI values, with means ranging from 0.21 to 0.91 (NDVI) and 0.108 to 0.543 (NDWI). The altitude ranged from 803 to 1150 m, and the surface temperature from 20.9°C to 27.6°C. The altitude and the surface temperature distribution patterns were correlated with the vegetation indexes. The slope classes were very homogeneous, predominantly with declivities between 8 to 20%, characterized as wavy relief. This study made possible the characterization and monitoring of coffee lands and its results may be instrumental in decision-making processes related to coffee management.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectCoffeept_BR
dc.titleCharacterization and spectral monitoring of coffee lands in Brazil.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2017-03-29T11:11:11Zpt_BR
dc.subject.thesagroSensoriamento remotopt_BR
dc.subject.nalthesaurusLandsatpt_BR
dc.subject.nalthesaurusSurface temperaturept_BR
dc.subject.nalthesaurusRemote sensingpt_BR
dc.format.extent2p. 801-803pt_BR
riaa.ainfo.id1067802pt_BR
riaa.ainfo.lastupdate2017-03-29pt_BR
dc.contributor.institutionHELENA MARIA RAMOS ALVES, SAPC; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL; EPAMIG SUL.pt_BR
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