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Registros recuperados : 48 | |
7. | | DALPOSSO, G. H.; OPAZO, M. A. U.; MERCANTE, E.; LAMPARELLI, R. A. C.; ROCHA, J. V. Autocorrelação espacial do índice NDVI de imagens TM para cultura da soja no Oeste Paranaense, no ano agrícola 2004/2005. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009. p. 1299-1306. Biblioteca(s): Embrapa Agricultura Digital. |
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9. | | ANTUNES, J. F. G.; MERCANTE, E.; ROCHA, J. V.; ZULLO JÚNIOR, J. Análise de trajeto de um gasoduto utilizando sistema de informação geográfica. In: CONGRESSO BRASILEIRO DE ENGENHARIA AGRÍCOLA, 33., 2004, São Pedro, SP. A inserção da engenharia agrícola em projetos nacionais: anais. Campinas: Unicamp, Faculdade de Engenharia Agrícola: Embrapa Informática Agropecuária, 2004. 1 CD-ROM. CONBEA 2004. Editores: Paulo Graziano Magalhães, Raquel Gonçalves e Ana Paula Montagner. Biblioteca(s): Embrapa Agricultura Digital. |
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10. | | CAVALIERI, A.; HAMADA, E.; ROCHA, J. V.; KUPPER, R. de B.; LONGO, R. M. Classificação das terras no sistema de capacidade de uso através do sistema de informação geográfica. IN: CONGRESSO BRASILEIRO DE CIÊNÇIA DO SOLO, 25., 1995, Viçosa, MG. Resumos expandidos. Viçosa: UFV, 1995. v.4, p. 2073-2075. Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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Registros recuperados : 48 | |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
07/08/2013 |
Data da última atualização: |
04/02/2014 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
JOHANN, J. A.; ROCHA, J. V.; OLIVEIRA, S. R. de M.; RODRIGUES, L. H. A.; LAMPARELLI, R. A. C. |
Afiliação: |
JERRY A. JOHANN, Unioeste; JANSLE V. ROCHA, Feagri/Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; LUIZ H. A. RODRIGUES, Feagri/Unicamp; RUBENS A. C. LAMPARELLI, Feagri/Unicamp. |
Título: |
Data mining techniques for identification of spectrally homogeneous areas using NDVI temporal profiles of soybean crop. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Engenharia Agrícola, Jaboticabal, v. 33, n. 3, p. 511-524, maio/jun. 2013. |
Idioma: |
Inglês |
Conteúdo: |
ABSTRACT: The aim of this study was to group temporal profiles of 10-day composites NDVI product by similarity, which was obtained by the SPOT Vegetation sensor, for municipalities with high soybean production in the state of Paraná, Brazil, in the 2005/2006 cropping season. Data mining is a valuable tool that allows extracting knowledge from a database, identifying valid, new, potentially useful and understandable patterns. Therefore, it was used the methods for clusters generation by means of the algorithms K-Means, MAXVER and DBSCAN, implemented in the WEKA software package. Clusters were created based on the average temporal profiles of NDVI of the 277 municipalities with high soybean production in the state and the best results were found with the K-Means algorithm, grouping the municipalities into six clusters, considering the period from the beginning of October until the end of March, which is equivalent to the crop vegetative cycle. Half of the generated clusters presented spectro-temporal pattern, a characteristic of soybeans and were mostly under the soybean belt in the state of Paraná, which shows good results that were obtained with the proposed methodology as for identification of homogeneous areas. These results will be useful for the creation of regional soybean "masks" to estimate the planted area for this crop. |
Palavras-Chave: |
Cultura da soja; Data mining; Mineração de textos; Perfil temporal de NDVI. |
Thesaurus NAL: |
Cluster analysis. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02104naa a2200229 a 4500 001 1963489 005 2014-02-04 008 2013 bl uuuu u00u1 u #d 100 1 $aJOHANN, J. A. 245 $aData mining techniques for identification of spectrally homogeneous areas using NDVI temporal profiles of soybean crop.$h[electronic resource] 260 $c2013 520 $aABSTRACT: The aim of this study was to group temporal profiles of 10-day composites NDVI product by similarity, which was obtained by the SPOT Vegetation sensor, for municipalities with high soybean production in the state of Paraná, Brazil, in the 2005/2006 cropping season. Data mining is a valuable tool that allows extracting knowledge from a database, identifying valid, new, potentially useful and understandable patterns. Therefore, it was used the methods for clusters generation by means of the algorithms K-Means, MAXVER and DBSCAN, implemented in the WEKA software package. Clusters were created based on the average temporal profiles of NDVI of the 277 municipalities with high soybean production in the state and the best results were found with the K-Means algorithm, grouping the municipalities into six clusters, considering the period from the beginning of October until the end of March, which is equivalent to the crop vegetative cycle. Half of the generated clusters presented spectro-temporal pattern, a characteristic of soybeans and were mostly under the soybean belt in the state of Paraná, which shows good results that were obtained with the proposed methodology as for identification of homogeneous areas. These results will be useful for the creation of regional soybean "masks" to estimate the planted area for this crop. 650 $aCluster analysis 653 $aCultura da soja 653 $aData mining 653 $aMineração de textos 653 $aPerfil temporal de NDVI 700 1 $aROCHA, J. V. 700 1 $aOLIVEIRA, S. R. de M. 700 1 $aRODRIGUES, L. H. A. 700 1 $aLAMPARELLI, R. A. C. 773 $tEngenharia Agrícola, Jaboticabal$gv. 33, n. 3, p. 511-524, maio/jun. 2013.
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