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| Registros recuperados : 11 | |
| 1. |  | ARAUJO, E. A. F.; RIBEIRO, S. da C. A.; AZOUBEL, P. M.; MURR, F. E. X. Drying kinetics of nectarine (Prunus persica) with and without shrinkage. In: INTERNATIONAL DRYING SYMPOSIUM, 14., 2004, São Paulo, SP. Proceedings... Campinas: State University of Campinas, Chemical Engineering School, 2004. v. C , p. 2189-2194.| Biblioteca(s): Embrapa Semiárido. |
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| 7. | | ABREU, L. F.; ARAÚJO, E. A. F.; CARVALHO, A. V.; MACIEL, R. A.; GÓIS, P. D. S. Influência da secagem sobre a manutenção de nutrientes de pimenta. In: SIMPÓSIO LATINO AMERICANO DE CIÊNCIA DOS ALIMENTOS, 9., 2011, Campinas. ciência de alimentos e qualidade de vida: saúde, meio ambiente e sustentabilidade. Campinas: Unicamp, 2011. 1 CD-ROM.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 9. | | EL-AOUAR, A. A.; AZOUBEL, P. M.; ARAÚJO, E. A. F.; BARBOSA JÚNIOR, J. L.; ANTONIO, G. C.; MURR, F. E. X. Desidratação osmótica de mamão Formosa (Carica papaya L.): análise dos parâmetros de processo. In: SIMPÓSIO LATINO AMERICANO DE CIÊNCIA DE ALIMENTOS, 5., 2003, Campinas. Resumos... Campinas : UNICAMP, 2003. 1 CD-ROM.| Biblioteca(s): Embrapa Semiárido. |
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| 10. | | AZOUBEL, P. M.; TONON, R. V.; EL-AOUAR, A. A.; ANTONIO, G. C.; ARAUJO, E. A. F.; RIBEIRO, S. C. A.; MURR, F. E. X. Osmotic dehydration of cashew apple in corn syrup: influence of process variables. In: INTERNATIONAL DRYING SYMPOSIUM, 14., 2004, São Paulo. Proceedings... Campinas: State University of Campinas, Chemical Engineering School, 2004. p. 2091-2096.| Biblioteca(s): Embrapa Semiárido. |
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| 11. | | LOURENÇO, L. F. H.; TAVARES, T. S.; ARAUJO, E. A. F.; PENA, R. S.; JOELE, M. R. S. P.; CARVALHO, A. V. Optimization of extrusion process to obtain shrimp snacks with rice grits and polished rice grains. CyTA: Journal of Food, v. 14, n. 2, p. 340-348, 2016.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 11 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Solos. |
|
Data corrente: |
25/01/2023 |
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Data da última atualização: |
13/03/2023 |
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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: |
BARRETO, A. C.; FERREIRA NETO, M.; OLIVEIRA, R. P. de; MOREIRA, L. C. J; MEDEIROS, J. F. de; SÁ, F. V. da S. |
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Afiliação: |
ARTÊNIO CABRAL BARRETO, UNIVERSIDADE FEDERAL RURAL DO SEMI-ÁRIDO; MIGUEL FERREIRA NETO, UNIVERSIDADE FEDERAL RURAL DO SEMI-ÁRIDO; RONALDO PEREIRA DE OLIVEIRA, CNPS; LUÍS CLENIO JÁRIO MOREIRA, INSTITUTO FEDERAL DE EDUCAÇÃO, CIÊNCIA E TECNOLOGIA DO CEARÁ; JOSÉ FRANCISMAR DE MEDEIROS, UNIVERSIDADE FEDERAL RURAL DO SEMI-ÁRIDO; FRANCISCO VANIES DA SILVA SÁ, UNIVERSIDADE FEDERAL RURAL DO SEMI-ÁRIDO. |
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Título: |
Comparative analysis of spectral indexes for soil salinity mapping in irrigated areas in a semi-arid region, Brazil. |
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Ano de publicação: |
2023 |
|
Fonte/Imprenta: |
Journal of Arid Environments, v. 209, 104888, Feb. 2023. |
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DOI: |
https://doi.org/10.1016/j.jaridenv.2022.104888 |
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Idioma: |
Inglês |
|
Conteúdo: |
Salinization reduces agricultural yield and sustainable development in the long term. In this study, we identified the spectral index that best estimates soil salinity in the area of the Baixo-Açu irrigated perimeter in northeast Brazil. We also established how vegetation canopy and satellite image spatial resolution influence the results. The electrical conductivity of 42 sampling points was determined and correlated with 20 spectral salinity indexes. The spatial resolution influence on index response was evaluated using OLI/Landsat8 and MSI/Sentinel2 satellite images, with spatial resolutions of 30 and 10 m, respectively. They were applied to bare soil and vegetation canopy areas to assess the vegetation canopy influence on the indexes. Normalized Differential Vegetation Index greater than 0.33 indicated soils with vegetation canopy. In all analyses performed, the bare soil areas had the best results. From the 18 analyzed indexes, Sentinel2 images outperform Landsat8 images. The Soil Index-1 showed an 80.34%-determination coefficient that outperformed the other 19 indexes in soil salinity identification. These results indicate that the association of the Soil Index-1, Sentinel2 images, and the Normalized Differential Vegetation Index less than 0.33 improves the evaluation of the salinized areas. |
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Palavras-Chave: |
Índice de Vegetação por Diferença Normalizada; Salinidade do solo. |
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Thesagro: |
Salinização; Sensoriamento Remoto; Solo. |
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Thesaurus NAL: |
Normalized difference vegetation index; Remote sensing; Soil salinity. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02282naa a2200289 a 4500
001 2151202
005 2023-03-13
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.jaridenv.2022.104888$2DOI
100 1 $aBARRETO, A. C.
245 $aComparative analysis of spectral indexes for soil salinity mapping in irrigated areas in a semi-arid region, Brazil.$h[electronic resource]
260 $c2023
520 $aSalinization reduces agricultural yield and sustainable development in the long term. In this study, we identified the spectral index that best estimates soil salinity in the area of the Baixo-Açu irrigated perimeter in northeast Brazil. We also established how vegetation canopy and satellite image spatial resolution influence the results. The electrical conductivity of 42 sampling points was determined and correlated with 20 spectral salinity indexes. The spatial resolution influence on index response was evaluated using OLI/Landsat8 and MSI/Sentinel2 satellite images, with spatial resolutions of 30 and 10 m, respectively. They were applied to bare soil and vegetation canopy areas to assess the vegetation canopy influence on the indexes. Normalized Differential Vegetation Index greater than 0.33 indicated soils with vegetation canopy. In all analyses performed, the bare soil areas had the best results. From the 18 analyzed indexes, Sentinel2 images outperform Landsat8 images. The Soil Index-1 showed an 80.34%-determination coefficient that outperformed the other 19 indexes in soil salinity identification. These results indicate that the association of the Soil Index-1, Sentinel2 images, and the Normalized Differential Vegetation Index less than 0.33 improves the evaluation of the salinized areas.
650 $aNormalized difference vegetation index
650 $aRemote sensing
650 $aSoil salinity
650 $aSalinização
650 $aSensoriamento Remoto
650 $aSolo
653 $aÍndice de Vegetação por Diferença Normalizada
653 $aSalinidade do solo
700 1 $aFERREIRA NETO, M.
700 1 $aOLIVEIRA, R. P. de
700 1 $aMOREIRA, L. C. J
700 1 $aMEDEIROS, J. F. de
700 1 $aSÁ, F. V. da S.
773 $tJournal of Arid Environments$gv. 209, 104888, Feb. 2023.
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