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dc.contributor.authorLUIZ, A. J. B.pt_BR
dc.contributor.authorSANCHES, I. D. A.pt_BR
dc.contributor.authorTRABAQUINI, K.pt_BR
dc.contributor.authorEBERHARDT, I. D. R.pt_BR
dc.contributor.authorFORMAGGIO, A. R.pt_BR
dc.date.accessioned2016-01-26T11:11:11Zpt_BR
dc.date.available2016-01-26T11:11:11Zpt_BR
dc.date.created2016-01-26pt_BR
dc.date.issued2015pt_BR
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 1308-1315.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1035214pt_BR
dc.descriptionAbstract: In this study, the tracking of different types of agricultural land use was assessed over time using the overlap regions of adjacent Landsat Operational Land Imager (OLI) scenes. WRS-II scenes 219 e 220/75 were acquired between July and October 2014. In the same period, 55 georeferenced sites were visited monthly, to acquire information about their use and to photograph them. The study covered an area of 100 km long by 4 km wide along a highway in the mesoregion of Campinas, state of São Paulo, Brazil. The main agricultural crops in the state were present in this area, such as sugarcane, maize, soybean, eucalyptus, pastures, citrus; and over a dozen land uses were found. Several selected areas are irrigated by center pivot systems. In this short period of time, the importance of monitoring simultaneously three axes, namely: the time, space and land use, proved essential, since there is a high potential for classification confusion. Interesting things were observed, such as the phenomenon of green-up of rubber tree fields; and the similar appearance of potatoes, beans and wheat plots in images, even though they do not look like in the field. Preliminary analysis, both visual and quantitative, confirm the assumption that it is not possible to correctly classify agricultural uses in OLI images based only on a single date and without substantial knowledge of the systems in use, and the farming calendar of the study region.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectCropland identificationpt_BR
dc.subjectChange detectionpt_BR
dc.subjectTemporal resolutionpt_BR
dc.subjectMonitoramentopt_BR
dc.subjectIdentificação de culturaspt_BR
dc.subjectDetecção de mudançaspt_BR
dc.subjectResolução temporalpt_BR
dc.titleDinâmica agrícola em área de sobreposição de órbitas adjacentes dos satélites Landsat.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2016-01-26T11:11:11Zpt_BR
dc.subject.thesagroSensoriamento remotopt_BR
dc.subject.thesagroUso da terrapt_BR
dc.subject.nalthesaurusRemote sensingpt_BR
dc.subject.nalthesaurusLand use changept_BR
dc.subject.nalthesaurusCroplandpt_BR
dc.subject.nalthesaurusmonitoringpt_BR
riaa.ainfo.id1035214pt_BR
riaa.ainfo.lastupdate2016-01-26pt_BR
dc.contributor.institutionALFREDO JOSE BARRETO LUIZ, CNPMA; IEDA DEL'ARCO SANCHES, INPE; KLEBER TRABAQUINI, INPE; ISAQUE DANIEL ROCHA EBERHARDT, INPE; ANTONIO ROBERTO FORMAGGIO, INPE.pt_BR
Aparece nas coleções:Artigo em anais de congresso (CNPMA)

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