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| Registros recuperados : 5 | |
| 1. |  | SILVA, A. P. C.; MACÊDO, A. A.; SILVA, T. M. A.; XIMENES, L. C. A.; BRANDAO, H. de M.; PAIXÃO, T. A.; SANTOS, R. L. Protection Provided by an Encapsulated Live Attenuated ?abcBA Strain of Brucella ovis against Experimental Challenge in a Murine Model. Clinical and Vaccine Immunology, v. 22, n. 7, p. 789-973, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
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| 3. | | RIBEIRO, P. G.; LUCKOW, M.; LEWIS, G. P.; SIMON, M. F.; CARDOSO, D.; SOUZA, E. R. de; SILVA, A. P. C.; JESUS, M. C.; SANTOS, F. A. R. dos; AZEVEDO, V.; QUEIROZ, L. P. de. Lachesiodendron, a new monospecific genus segregated from Piptadenia (Leguminosae: Caesalpinioideae: mimosoid clade): evidence from morphology and molecules. Taxon, v. 67, n. 1, p. 37-54, 2018.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 4. | | MARTINS, A. M.; PARRELLA, R. A. da C.; LOPES, D. de C.; SCHAFFERT, R. E.; PARRELLA, N. N. L. D.; NEVES, W. dos S.; SILVA, A. P. C. M. Período de utilização industrial de cultivares de sorgo sacarino visando a produção de etanol. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 16, n. 2, p. 217-231, 2017.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 5. | | SILVA, A. P. C.; MACÊDO, A. A.; COSTA, L. F.; ROCHA, C. E.; GARCIA, L. N. N.; FARIAS, J. R. D.; GOMES, P. P. R.; TEIXEIRA, G. C.; FONSECA, K. W. J.; MAIA, A. R. F.; NEVES, G. G.; ROMÃO, E. L.; SILVA, T. M. A.; MOL, J. P. S.; OLIVEIRA, R. M.; ARAÚJO, M. S. S.; NASCIMENTO, E. F.; MARTINS-FILHO, O. A.; BRANDAO, H. de M.; PAIXÃO, T. A.; SANTOS, R. L. Encapsulated Brucella ovis Lacking a Putative ATP-Binding Cassette Transporter (delta-abcBA) Protects against Wild Type Brucella ovis in Rams. Plos One, v. 10, n. 8, e013865, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 5 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
27/02/2013 |
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Data da última atualização: |
12/09/2013 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
ARRAES, C. L.; LAMPARELLI, R. A. C.; ROCHA, J. V.; ESQUERDO, J. C. D. M.; SALVADOR, P.; RODRÍGUES, J.; ROQUE, J.-L. C.; JUSTO, J. S.; BENATTI, B. G. |
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Afiliação: |
CHRISTIANO L. ARRAES, Unicamp; RUBENS A. C. LAMPARELLI, Unicamp; JANSLE V. ROCHA, Unicamp; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA; PABLO SALVADOR, University of Valladolid; JAVIER RODRÍGUEZ, University of Valladolid; JOSÉ-LUIS CASANOVA ROQUE, University of Valladolid; JULIA SANZ JUSTO, University of Valladolid; BEATRIZ G. BENATTI, IMECC/Unicamp. |
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Título: |
Reliability of summer crop masks derived from second order polynomial equations. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Journal of Agricultural Science, Toronto, v. 5, n. 3, p. 63-75, 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
Remote Sensing techniques are useful to determine planted areas, especially of commodities like maize and soybeans (summer cultures). The vegetation indexes as NDVI (Normalized Difference Vegetation Index) has been used to map agricultural areas due to its low cost and accessibility. Therefore the objective of this study was to develop a new methodology to generate masks of summer crops based on fitting second order polynomial equations to temporal NDVI profiles. The results showed that selecting polynomial equations with r2 fitting above 0.75, a Kappa index of 0.86 and a global accuracy of 93% is obtained. This is slightly higher than the results obtained when using the maximum-minimum NDVI technique, with a Kappa index of 0.82 and a global accuracy of 91%. However, while quantifying the areas under study, one verified that the mask used by the proposed methodology, was closer to the official IBGE data, with a difference of -10.25%, followed by the vector technique with 23% and by the maximum-minimum NDVI, with a difference of 42.8%. |
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Palavras-Chave: |
Índice de vegetação. |
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Thesagro: |
Milho; Sensoriamento Remoto; Soja. |
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Thesaurus NAL: |
Corn; Remote sensing; Soybeans; Vegetation. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/77471/1/22216-82104-1-PB.pdf
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Marc: |
LEADER 01925naa a2200313 a 4500
001 1951407
005 2013-09-12
008 2013 bl uuuu u00u1 u #d
100 1 $aARRAES, C. L.
245 $aReliability of summer crop masks derived from second order polynomial equations.$h[electronic resource]
260 $c2013
520 $aRemote Sensing techniques are useful to determine planted areas, especially of commodities like maize and soybeans (summer cultures). The vegetation indexes as NDVI (Normalized Difference Vegetation Index) has been used to map agricultural areas due to its low cost and accessibility. Therefore the objective of this study was to develop a new methodology to generate masks of summer crops based on fitting second order polynomial equations to temporal NDVI profiles. The results showed that selecting polynomial equations with r2 fitting above 0.75, a Kappa index of 0.86 and a global accuracy of 93% is obtained. This is slightly higher than the results obtained when using the maximum-minimum NDVI technique, with a Kappa index of 0.82 and a global accuracy of 91%. However, while quantifying the areas under study, one verified that the mask used by the proposed methodology, was closer to the official IBGE data, with a difference of -10.25%, followed by the vector technique with 23% and by the maximum-minimum NDVI, with a difference of 42.8%.
650 $aCorn
650 $aRemote sensing
650 $aSoybeans
650 $aVegetation
650 $aMilho
650 $aSensoriamento Remoto
650 $aSoja
653 $aÍndice de vegetação
700 1 $aLAMPARELLI, R. A. C.
700 1 $aROCHA, J. V.
700 1 $aESQUERDO, J. C. D. M.
700 1 $aSALVADOR, P.
700 1 $aRODRÍGUES, J.
700 1 $aROQUE, J.-L. C.
700 1 $aJUSTO, J. S.
700 1 $aBENATTI, B. G.
773 $tJournal of Agricultural Science, Toronto$gv. 5, n. 3, p. 63-75, 2013.
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Embrapa Agricultura Digital (CNPTIA) |
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