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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente; Embrapa Solos. |
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Data corrente: |
29/08/2017 |
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Data da última atualização: |
17/01/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MONTIBELLER, B.; LUIZ, A. J. B.; SANCHES, I. D. A.; SILVEIRA, H. L. F. da. |
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Afiliação: |
BRUNO MONTIBELLER, INPE; ALFREDO JOSE BARRETO LUIZ, CNPMA; IEDA DEL'ARCO SANCHES, INPE; HILTON LUIS FERRAZ DA SILVEIRA, CNPS. |
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Título: |
Análise da variabilidade espectro-temporal intraespecífica do milho. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18.,2017, Santos. Anais... Santos: Inpe, 2017. Trabalho: 59410. |
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Páginas: |
p. 2011-2018. |
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Idioma: |
Português |
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Conteúdo: |
Remote sensing data has been widely used worldwide to estimate crop field?s parameters such as area. For that purpose, we use automatic classification algorithms to identify different land uses and land covers (e.g. agricultural and native vegetation), groups of crops (e.g. annual and perennial crops) or crops species (e.g. maize, sugarcane or soybean). For agricultural applications, the ultimate goal is to be able to use remote sensing technology to map crops in the specie level, and then to monitor them. One essential input data used in the classifications algorithms is the spectral information of the ground targets (e.g. reflectance and vegetation indices). Therefore, it is important to know the spectral behavior of all targets. However, the ability of one classifier to distinguish between plant species is probably dependent on the amount of intraspecific variability. In other words, if a crop specie has high intraspecific spectral variation, it will be difficult to classify this specie among others. Thus, the aim of this work is to analyze the intraspecific spectral temporal variability of maize crop. To accomplish that, spectral data (OLI/Landsat-8) were acquired from first and second harvest maize plots, cultivated over distinct management systems (irrigated and non-irrigated), along two agricultural crop years, (2014/2015 and 2015/2016). We concluded that maize fields harvested in different years, sowed in different seasons, irrigated or not, have a high temporal spectral variation, which cannot be associated with these known characteristics. MenosRemote sensing data has been widely used worldwide to estimate crop field?s parameters such as area. For that purpose, we use automatic classification algorithms to identify different land uses and land covers (e.g. agricultural and native vegetation), groups of crops (e.g. annual and perennial crops) or crops species (e.g. maize, sugarcane or soybean). For agricultural applications, the ultimate goal is to be able to use remote sensing technology to map crops in the specie level, and then to monitor them. One essential input data used in the classifications algorithms is the spectral information of the ground targets (e.g. reflectance and vegetation indices). Therefore, it is important to know the spectral behavior of all targets. However, the ability of one classifier to distinguish between plant species is probably dependent on the amount of intraspecific variability. In other words, if a crop specie has high intraspecific spectral variation, it will be difficult to classify this specie among others. Thus, the aim of this work is to analyze the intraspecific spectral temporal variability of maize crop. To accomplish that, spectral data (OLI/Landsat-8) were acquired from first and second harvest maize plots, cultivated over distinct management systems (irrigated and non-irrigated), along two agricultural crop years, (2014/2015 and 2015/2016). We concluded that maize fields harvested in different years, sowed in different seasons, irrigated or not, have a high temporal spec... Mostrar Tudo |
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Palavras-Chave: |
Agricultural monitoring; Dado multitemporal; Monitoramento agrícola; Multitemporal data; OLI-Landsat-8; Reflectância de superfície; Surface reflectance. |
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Thesagro: |
Milho; Sensoriamento remoto. |
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Thesaurus Nal: |
Remote sensing. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/170682/1/2017AA32.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/163104/1/2017-021.pdf
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Marc: |
LEADER 02476nam a2200277 a 4500
001 2084705
005 2023-01-17
008 2017 bl uuuu u00u1 u #d
100 1 $aMONTIBELLER, B.
245 $aAnálise da variabilidade espectro-temporal intraespecífica do milho.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18.,2017, Santos. Anais... Santos: Inpe, 2017. Trabalho: 59410.$c2017
300 $ap. 2011-2018.
520 $aRemote sensing data has been widely used worldwide to estimate crop field?s parameters such as area. For that purpose, we use automatic classification algorithms to identify different land uses and land covers (e.g. agricultural and native vegetation), groups of crops (e.g. annual and perennial crops) or crops species (e.g. maize, sugarcane or soybean). For agricultural applications, the ultimate goal is to be able to use remote sensing technology to map crops in the specie level, and then to monitor them. One essential input data used in the classifications algorithms is the spectral information of the ground targets (e.g. reflectance and vegetation indices). Therefore, it is important to know the spectral behavior of all targets. However, the ability of one classifier to distinguish between plant species is probably dependent on the amount of intraspecific variability. In other words, if a crop specie has high intraspecific spectral variation, it will be difficult to classify this specie among others. Thus, the aim of this work is to analyze the intraspecific spectral temporal variability of maize crop. To accomplish that, spectral data (OLI/Landsat-8) were acquired from first and second harvest maize plots, cultivated over distinct management systems (irrigated and non-irrigated), along two agricultural crop years, (2014/2015 and 2015/2016). We concluded that maize fields harvested in different years, sowed in different seasons, irrigated or not, have a high temporal spectral variation, which cannot be associated with these known characteristics.
650 $aRemote sensing
650 $aMilho
650 $aSensoriamento remoto
653 $aAgricultural monitoring
653 $aDado multitemporal
653 $aMonitoramento agrícola
653 $aMultitemporal data
653 $aOLI-Landsat-8
653 $aReflectância de superfície
653 $aSurface reflectance
700 1 $aLUIZ, A. J. B.
700 1 $aSANCHES, I. D. A.
700 1 $aSILVEIRA, H. L. F. da
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Biblioteca |
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Tipo/Formato |
Classificação |
Cutter |
Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
15/02/2016 |
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Data da última atualização: |
15/02/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
BIASOTO, A. C. T.; DEON, M. D. I.; CARVALHO, E. S. S. de; PEREIRA, G. E.; LIMA, M. A. C. de; OLIVEIRA, W. P.; CORREA, L. C.; BARROS, A. P. A.; LIMA, M. dos S.; FREITAS, S. T. de; LEAO, P. C. de S. |
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Afiliação: |
ALINE TELLES BIASOTO MARQUES, CPATSA; MAGNUS DALLIGNA DEON, CPATSA; ERIKA SAMANTHA SANTOS DE CARVALHO; GIULIANO ELIAS PEREIRA, CNPUV; MARIA AUXILIADORA COELHO DE LIMA, CPATSA; WALKIA POLLIANA DE OLIVEIRA; LUIZ CLAUDIO CORREA, CPATSA; ANA PAULA ANDRÉ BARROS; MARCOS DOS SANTOS LIMA; SERGIO TONETTO DE FREITAS, CPATSA; PATRICIA COELHO DE SOUZA LEAO, CPATSA. |
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Título: |
Influence of soil pH correction and potassium saturation on quality and stability of Brazilian tropical wines produced in the São Francisco Valley. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: WORLD CONGRESS OF VINE AND WINE, 37., 2014, Mendonza, Argentina. Vitivinicultura del SUR, confluencia de conocimiento y naturaleza. Mendonza: International Organisation of Vine and Wine, 2014. |
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Idioma: |
Inglês |
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Conteúdo: |
This study evaluated the influence of soil pH correction and potassium saturation on the quality of Brazilian tropical red wines 'Syrah' from São Francisco Valley. |
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Palavras-Chave: |
Tropical wines; Vale do São Francisco; Vinho tropical; Vitiviniculura. |
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Thesagro: |
Uva. |
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Thesaurus NAL: |
Grapes. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/138962/1/giulianoWCVW-2014.pdf
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Marc: |
LEADER 01241nam a2200301 a 4500
001 2036906
005 2016-02-15
008 2014 bl uuuu u00u1 u #d
100 1 $aBIASOTO, A. C. T.
245 $aInfluence of soil pH correction and potassium saturation on quality and stability of Brazilian tropical wines produced in the São Francisco Valley.$h[electronic resource]
260 $aIn: WORLD CONGRESS OF VINE AND WINE, 37., 2014, Mendonza, Argentina. Vitivinicultura del SUR, confluencia de conocimiento y naturaleza. Mendonza: International Organisation of Vine and Wine$c2014
520 $aThis study evaluated the influence of soil pH correction and potassium saturation on the quality of Brazilian tropical red wines 'Syrah' from São Francisco Valley.
650 $aGrapes
650 $aUva
653 $aTropical wines
653 $aVale do São Francisco
653 $aVinho tropical
653 $aVitiviniculura
700 1 $aDEON, M. D. I.
700 1 $aCARVALHO, E. S. S. de
700 1 $aPEREIRA, G. E.
700 1 $aLIMA, M. A. C. de
700 1 $aOLIVEIRA, W. P.
700 1 $aCORREA, L. C.
700 1 $aBARROS, A. P. A.
700 1 $aLIMA, M. dos S.
700 1 $aFREITAS, S. T. de
700 1 $aLEAO, P. C. de S.
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Embrapa Uva e Vinho (CNPUV) |
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