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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
17/01/2018 |
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Data da última atualização: |
22/12/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
ADAMI, M.; GOMES, A. R.; BELUZZO, A.; COELHO, A. dos S.; VALERIANO, D. de M.; RAMOS, F. de S.; NARVAES, I. da S.; BROWN, I. F.; OLIVEIRA, I. D. de; SANTOS, L. B.; MAURANO, L. E. P.; WATRIN, O. dos S.; GRAÇA, P. M. L. de A. |
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Afiliação: |
MARCOS ADAMI, INPE; ALESSANDRA RODRIGUES GOMES, INPE; AMANDA BELUZZO, COLABORADORA CPATU; ANDREA DOS SANTOS COELHO, INPE; DALTON DE MORISSON VALERIANO, INPE; FELIPE DE SOUZA RAMOS, INPA; Igor da Silva Narvaes, INPE; Irvin Foster Brown, UFAC; Ivanilson Dias de Oliveira, UFAC; Lucyana Barros Santos, INPE; Luis Eduardo P. Maurano, INPE; ORLANDO DOS SANTOS WATRIN, CPATU; Paulo Maurício Lima de Alencastro Graça, INPA. |
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Título: |
A confiabilidade do PRODES: estimativa da acurácia do mapeamento do desmatamento no estado Mato Grosso. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: INPE, 2017. |
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Páginas: |
p. 4189-4196. |
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Idioma: |
Português |
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Conteúdo: |
PRODES 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. |
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Palavras-Chave: |
Acurácia. |
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Thesagro: |
Desmatamento. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/171255/1/galoa-proceedings-sbsr-59299-a-confiabilidade.pdf
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Marc: |
LEADER 02056nam a2200289 a 4500
001 2085664
005 2021-12-22
008 2017 bl uuuu u00u1 u #d
100 1 $aADAMI, M.
245 $aA confiabilidade do PRODES$bestimativa da acurácia do mapeamento do desmatamento no estado Mato Grosso.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: INPE$c2017
300 $ap. 4189-4196.
520 $aPRODES 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.
650 $aDesmatamento
653 $aAcurácia
700 1 $aGOMES, A. R.
700 1 $aBELUZZO, A.
700 1 $aCOELHO, A. dos S.
700 1 $aVALERIANO, D. de M.
700 1 $aRAMOS, F. de S.
700 1 $aNARVAES, I. da S.
700 1 $aBROWN, I. F.
700 1 $aOLIVEIRA, I. D. de
700 1 $aSANTOS, L. B.
700 1 $aMAURANO, L. E. P.
700 1 $aWATRIN, O. dos S.
700 1 $aGRAÇA, P. M. L. de A.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Registro Completo
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Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
11/11/2016 |
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Data da última atualização: |
19/07/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
CONCENCO, G.; PARFITT, J. M. B.; DOWNING, K.; LARUE, J.; SILVA, J. T. da. |
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Afiliação: |
GERMANI CONCENCO, CPACT; JOSE MARIA BARBAT PARFITT, CPACT; Kelly Downing, Valmont Industries, Irrigation Division, Omaha, NE, USA; Jacob Larue, Valmont Industries, Irrigation Division, Omaha, NE, USA; Jaqueline Trombetta da Silva, UFPEL. |
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Título: |
Rice development and water demand under drought stress imposed at distinct growth stages. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
African Journal of Agricultural Research, v. 11, n. 41, p. 4147-4156, 13 October, 2016. |
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DOI: |
10.5897/AJAR2016.11581 |
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Idioma: |
Inglês |
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Palavras-Chave: |
Planting system; Water consumption. |
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Thesagro: |
Oryza sativa. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/149944/1/Concenco-art05.pdf
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Marc: |
LEADER 00664naa a2200205 a 4500
001 2056268
005 2017-07-19
008 2016 bl uuuu u00u1 u #d
024 7 $a10.5897/AJAR2016.11581$2DOI
100 1 $aCONCENCO, G.
245 $aRice development and water demand under drought stress imposed at distinct growth stages.$h[electronic resource]
260 $c2016
650 $aOryza sativa
653 $aPlanting system
653 $aWater consumption
700 1 $aPARFITT, J. M. B.
700 1 $aDOWNING, K.
700 1 $aLARUE, J.
700 1 $aSILVA, J. T. da
773 $tAfrican Journal of Agricultural Research$gv. 11, n. 41, p. 4147-4156, 13 October, 2016.
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Embrapa Clima Temperado (CPACT) |
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