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Registro Completo |
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
27/02/2003 |
Data da última atualização: |
27/02/2003 |
Autoria: |
SCHWENK, L. M.; SILVA, C. J. da. |
Título: |
Etnobotanica na morraria de Mimoso no Pantanal Mato-Grossense. |
Ano de publicação: |
2000 |
Fonte/Imprenta: |
In: SIMPOSIO SOBRE RECURSOS NATURAIS E SOCIO-ECONOMICOS DO PANTANAL, 3., 2000, Corumba,MS. Os desafios do Novo Milenio: resumos. Corumba: Embrapa Pantanal, 2000. p. 298-299. |
Idioma: |
Português |
Thesagro: |
Cerrado; Etnobôtanica; Flora. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00551naa a2200157 a 4500 001 1566361 005 2003-02-27 008 2000 bl uuuu u00u1 u #d 100 1 $aSCHWENK, L. M. 245 $aEtnobotanica na morraria de Mimoso no Pantanal Mato-Grossense. 260 $c2000 650 $aCerrado 650 $aEtnobôtanica 650 $aFlora 700 1 $aSILVA, C. J. da 773 $tIn: SIMPOSIO SOBRE RECURSOS NATURAIS E SOCIO-ECONOMICOS DO PANTANAL, 3., 2000, Corumba,MS. Os desafios do Novo Milenio: resumos. Corumba: Embrapa Pantanal, 2000. p. 298-299.
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Registro Completo
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
25/01/2023 |
Data da última atualização: |
13/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
BARRETO, A. C.; FERREIRA NETO, M.; OLIVEIRA, R. P. de; MOREIRA, L. C. J; MEDEIROS, J. F. de; SÁ, F. V. da S. |
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. |
Título: |
Comparative analysis of spectral indexes for soil salinity mapping in irrigated areas in a semi-arid region, Brazil. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Journal of Arid Environments, v. 209, 104888, Feb. 2023. |
DOI: |
https://doi.org/10.1016/j.jaridenv.2022.104888 |
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. |
Palavras-Chave: |
Índice de Vegetação por Diferença Normalizada; Salinidade do solo. |
Thesagro: |
Salinização; Sensoriamento Remoto; Solo. |
Thesaurus NAL: |
Normalized difference vegetation index; Remote sensing; Soil salinity. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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