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Registro Completo |
Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
13/11/1996 |
Data da última atualização: |
24/09/2007 |
Autoria: |
LE BARON, H. M.; MUMMA, R. O.; HONEYCUT, R. C.; DUESING, J. H.; PHILLIPS, J. F.; HAAS, M. J. (ed.). |
Título: |
Biotechnology in agricultural chemistry. |
Ano de publicação: |
1987 |
Fonte/Imprenta: |
Washington, D.C.: American Chemical Society, 1987. |
Páginas: |
367 p. |
Descrição Física: |
il. |
Idioma: |
Inglês |
Notas: |
PADCT |
Palavras-Chave: |
Agropecuária; Biotecnologia agrícola. |
Thesagro: |
Biotecnologia. |
Thesaurus Nal: |
agricultural biotechnology; agriculture; biotechnology. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00680nam a2200253 a 4500 001 1170415 005 2007-09-24 008 1987 bl uuuu 00u1 u #d 100 1 $aLE BARON, H. M. 245 $aBiotechnology in agricultural chemistry. 260 $aWashington, D.C.: American Chemical Society$c1987 300 $a367 p.$cil. 500 $aPADCT 650 $aagricultural biotechnology 650 $aagriculture 650 $abiotechnology 650 $aBiotecnologia 653 $aAgropecuária 653 $aBiotecnologia agrícola 700 1 $aMUMMA, R. O. 700 1 $aHONEYCUT, R. C. 700 1 $aDUESING, J. H. 700 1 $aPHILLIPS, J. F. 700 1 $aHAAS, M. J.
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Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
27/02/2013 |
Data da última atualização: |
12/09/2013 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
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. |
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. |
Título: |
Reliability of summer crop masks derived from second order polynomial equations. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Journal of Agricultural Science, Toronto, v. 5, n. 3, p. 63-75, 2013. |
Idioma: |
Inglês |
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%. |
Palavras-Chave: |
Índice de vegetação. |
Thesagro: |
Milho; Sensoriamento Remoto; Soja. |
Thesaurus NAL: |
Corn; Remote sensing; Soybeans; Vegetation. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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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