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dc.contributor.authorADAMI, M.
dc.contributor.authorGOMES, A. R.
dc.contributor.authorBELUZZO, A.
dc.contributor.authorCOELHO, A. dos S.
dc.contributor.authorVALERIANO, D. de M.
dc.contributor.authorRAMOS, F. de S.
dc.contributor.authorNARVAES, I. da S.
dc.contributor.authorBROWN, I. F.
dc.contributor.authorOLIVEIRA, I. D. de
dc.contributor.authorSANTOS, L. B.
dc.contributor.authorMAURANO, L. E. P.
dc.contributor.authorWATRIN, O. dos S.
dc.contributor.authorGRAÇA, P. M. L. de A.
dc.date.accessioned2018-01-17T22:54:55Z-
dc.date.available2018-01-17T22:54:55Z-
dc.date.created2018-01-17
dc.date.issued2017
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: INPE, 2017.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1085664-
dc.descriptionPRODES is completing almost thirty years of uninterrupted monitoring of clear-cut deforestation over the Brazilian Amazon. Until now, no estimate of its mapping accuracy has been made. In this sense, this article brings a first approximation of mapping accuracy estimation of PRODES deforested areas, taking as example the state of Mato Grosso for the year 2014. For this, a random sampling panel was constructed, stratified with two strata, the deforestation of 2014 and the remaining forest. The sample size was calculated using the binomial function. In addition, a web platform was built to evaluate the points drawn by three independent evaluators. The global accuracy of the mapping of deforestation for the state of Mato Grosso, for the year 2014 was 94.5%, and may vary between 92.4% and 96.5%, in the evaluated scenario there was no class discordance to be found. Regarding the Forest class, the user accuracy was 90.5% and the producer's accuracy was 88.4%, this imbalance between user accuracy and producer accuracy indicates that there is a tendency for the forest class area to be underestimated for this mapping, in this year.
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectAcurácia
dc.titleA confiabilidade do PRODES: estimativa da acurácia do mapeamento do desmatamento no estado Mato Grosso.
dc.typeArtigo em anais e proceedings
dc.date.updated2018-11-28T11:11:11Zpt_BR
dc.subject.thesagroDesmatamentopt_BR
dc.format.extent2p. 4189-4196.
riaa.ainfo.id1085664
riaa.ainfo.lastupdate2018-11-28 -02:00:00
dc.contributor.institutionMARCOS ADAMI, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS
dc.contributor.institutionALESSANDRA RODRIGUES GOMES, INSTITUTO NACIONAL DE PESQUISAS ESPACIAISpor
dc.contributor.institutionAMANDA BELUZZOpor
dc.contributor.institutionANDREA DOS SANTOS COELHO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAISpor
dc.contributor.institutionDALTON DE MORISSON VALERIANO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAISpor
dc.contributor.institutionFELIPE DE SOUZA RAMOS, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIApor
dc.contributor.institutionIGOR DA SILVA NARVAES, INSTITUTO NACIONAL DE PESQUISAS ESPACIAISpor
dc.contributor.institutionIRVIN FOSTER BROWN, UNIVERSIDADE FEDERAL DO ACREpor
dc.contributor.institutionIVANILSON DIAS DE OLIVEIRA, UNIVERSIDADE FEDERAL DO ACREpor
dc.contributor.institutionLUCYANA BARROS SANTOS, INSTITUTO NACIONAL DE PESQUISAS ESPACIAISpor
dc.contributor.institutionLUIS EDUARDO P. MAURANO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAISpor
dc.contributor.institutionORLANDO DOS SANTOS WATRIN, CPATUpor
dc.contributor.institutionPAULO MAURÍCIO LIMA DE ALENCASTRO GRAÇA, INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA.por
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