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 | Acesso ao texto completo restrito à biblioteca da Embrapa Algodão. Para informações adicionais entre em contato com cnpa.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
22/08/2023 |
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Data da última atualização: |
22/08/2023 |
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Autoria: |
BRITO FILHO, A. L. de; CARNEIRO, F. M.; RONTANI, F.; SILVA, R. P. da; BRANDÃO, Z. N.; SILVA JUNIOR, C. A. da; SHIRATSUCHI, L. S. |
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Afiliação: |
ARMANDO LOPES DE BRITO FILHO, UNESP; FRANCIELE MORLIN CARNEIRO, UTFPR; FAGNER RONTANI, LOUISIANA STATE UNIVERSITY; ROVERSON PEREIRA DA SILVA, UNESP; ZIANY NEIVA BRANDÃO, CNPA; CARLOS ANTÔNIO DA SILVA JUNIOR, UNEMAT; LUCIANO SHOZO SHIRATSUCHI, LOUISIANA STATE UNIVERSITY. |
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Título: |
Comparison between active and passive optics sensors to monitor spectral behavior during rice growth stages. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: SILVA-MATOS, R. R. S. da; DOIHARA, I. P.; LINHARES, S. C. (org.). Medio ambiente: Agricultura, desarrollo y sustentabilidad 2. Ponta Grossa, PR: Atena, 2023. c. 1. |
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Páginas: |
p. 1-9. |
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ISBN: |
978-65-258-1530-5 |
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DOI: |
https://doi.org/10.22533/at.ed.3052302081 |
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Idioma: |
Inglês |
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Conteúdo: |
The use of existing technologies within the science of remote sensing has increasingly contributed to the development of agriculture. Thus, our objective with this research was to compare performance to quality read between active and passive optics sensors are considerably greater to monitor spectral behavior of rice at different dates during their growth stages. This project will present correlations between active optical sensors with Sentinel 2 (S-2) satellite spectral bands. The vegetation indices to be used were: NDVI and CIRE. All the data simple linear regression and Pearson correlations were performed to compare active and passive sensors (satellite imageries data) with active crop canopy sensor technology. The averaged data were used along rice phenology to illustrate the dynamic of both sensors during the entire rice season. The active sensor presented better results than the passive sensor due to its being more stable for data collection under some different weather conditions. |
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Palavras-Chave: |
Análise de regressão; Arroz de Louisiana; Correlação de Pearsons; Emissão de saturação; Imagens de satélite; Louisiana rice; Pearsons correlations; Satellite imageries; Saturation issue. |
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Thesagro: |
Agricultura; Arroz; Desenvolvimento Sustentável; Meio Ambiente; Sensoriamento Remoto. |
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Thesaurus Nal: |
Agriculture; Environment; Regression analysis; Remote sensing; Sustainable agriculture; Sustainable development. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02548naa a2200469 a 4500
001 2156042
005 2023-08-22
008 2023 bl uuuu u00u1 u #d
020 $a978-65-258-1530-5
024 7 $ahttps://doi.org/10.22533/at.ed.3052302081$2DOI
100 1 $aBRITO FILHO, A. L. de
245 $aComparison between active and passive optics sensors to monitor spectral behavior during rice growth stages.$h[electronic resource]
260 $c2023
300 $ap. 1-9.
520 $aThe use of existing technologies within the science of remote sensing has increasingly contributed to the development of agriculture. Thus, our objective with this research was to compare performance to quality read between active and passive optics sensors are considerably greater to monitor spectral behavior of rice at different dates during their growth stages. This project will present correlations between active optical sensors with Sentinel 2 (S-2) satellite spectral bands. The vegetation indices to be used were: NDVI and CIRE. All the data simple linear regression and Pearson correlations were performed to compare active and passive sensors (satellite imageries data) with active crop canopy sensor technology. The averaged data were used along rice phenology to illustrate the dynamic of both sensors during the entire rice season. The active sensor presented better results than the passive sensor due to its being more stable for data collection under some different weather conditions.
650 $aAgriculture
650 $aEnvironment
650 $aRegression analysis
650 $aRemote sensing
650 $aSustainable agriculture
650 $aSustainable development
650 $aAgricultura
650 $aArroz
650 $aDesenvolvimento Sustentável
650 $aMeio Ambiente
650 $aSensoriamento Remoto
653 $aAnálise de regressão
653 $aArroz de Louisiana
653 $aCorrelação de Pearsons
653 $aEmissão de saturação
653 $aImagens de satélite
653 $aLouisiana rice
653 $aPearsons correlations
653 $aSatellite imageries
653 $aSaturation issue
700 1 $aCARNEIRO, F. M.
700 1 $aRONTANI, F.
700 1 $aSILVA, R. P. da
700 1 $aBRANDÃO, Z. N.
700 1 $aSILVA JUNIOR, C. A. da
700 1 $aSHIRATSUCHI, L. S.
773 $tIn: SILVA-MATOS, R. R. S. da; DOIHARA, I. P.; LINHARES, S. C. (org.). Medio ambiente: Agricultura, desarrollo y sustentabilidad 2. Ponta Grossa, PR: Atena, 2023. c. 1.
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Registro original: |
Embrapa Algodão (CNPA) |
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| Registros recuperados : 5 | |
| 2. |  | SCHULTZ, B.; PEREIRA, G.; MATAVELI, G. A. V.; BERTANI, G.; SILVA JUNIOR, C. A. da; AUER, C. G. Zoneamento climático da mancha foliar causada por Cylindrocladium candelabrum em plantios jovens de Eucalyptus benthamii nos estados do sul do Brasil. In: SIMPÓSIO REGIONAL DE GEOPROCESSAMENTO E SENSORIAMENTO REMOTO, 6., 2012, Aracaju. Geotecnologias: socialização e sustentabilidade. Aracaju: UFS, 2012. Geonordeste. Disponível online.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 3. | | BECKER, W. R.; RICHETTI, J.; MERCANTE, E.; ESQUERDO, J. C. D. M.; SILVA JUNIOR, C. A. da; PALUDO, A.; JOHANN, J. A. Agricultural soybean and corn calendar based on moderate resolution satellite images for southern Brazil. Semina: Ciências Agrárias, v. 41, n. 5, p. 2419-2428, 2020. Suplemento 1.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 5. | | DAMASCENO, A. S. da S.; BOECHAT, C. L.; SOUZA, H. A. de; CAPRISTO-SILVA, G. F.; MENDES, W. de S.; TEODORO, P. E.; MORAIS, P. G. C.; OLIVEIRA, R. I. de; DELLA-SILVA, J. L.; SOUZA, I. A. M. de; SILVA JUNIOR, C. A. da. Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing Applications: Society and Environment, v. 29, 100913, 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Meio-Norte. |
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| Registros recuperados : 5 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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