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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
26/10/2022 |
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Data da última atualização: |
01/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
AIRES, U. R. V.; SILVA, D. D. da; FERNANDES FILHO, E. I.; RODRIGUES, L. N.; ULIANA, E. M.; AMORIM, R. S. S.; RIBEIRO, C. B. de M.; CAMPOS, J. A. |
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Afiliação: |
UILSON RICARDO VENANCIO AIRES; DEMETRIUS DAVID DA SILVA; ELPÍDIO INACIO FERNANDES FILHO; LINEU NEIVA RODRIGUES, CPAC; EDUARDO MORGAN ULIANA; RICARDO SANTOS SILVA AMORIM; CELSO BANDEIRA DE MELO RIBEIRO; JASMINE ALVES CAMPOS. |
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Título: |
Modeling of surface sediment concentration in the Doce River basin using satellite remote sensing. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Journal of Environmental Management, v. 323, 2022. |
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Páginas: |
15 p. |
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DOI: |
https://doi.org/10.1016/j.jenvman.2022.116207 |
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Idioma: |
Inglês |
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Conteúdo: |
A B S T R A C T Surface sediment concentration (SSC) is linked to several problems related to water quality and its monitoring is costly because of the required fieldwork and laboratory analyses. Thus, sediment measurements are often sporadic, punctual, and performed during a short period. Orbital remote sensing allows the monitoring of SSC along the river channel permitting continuous and spatial information. This work had two objectives: (1) to model the surface concentration of sediments in the main channel of the Doce river using data from Multispectral Instrument (MSI)/Sentinel 2 and Operational Land Imager (OLI)/Landsat 8 satellite sensors; and (2) to compare different linear modeling approaches to select the best variables for SSC monitoring. For comparison with actual field data, we used mean SSC measurements in 14 sediment gauge stations from 2013 to 2020. Reflectance data of the MSI/Sentinel 2 and OLI/Landsat 8 satellites bands and spectral indices related to the monitoring of water resources were used as explanatory variables. Simple and multiple linear regression models (SLR and MLR), least absolute shrinkage and selection operator (LASSO), and Elastic Net regression were used to predict the SSC. The near-infrared band images from both MSI/Sentinel 2 and OLI/Landsat 8 satellites showed a strong linear relationship with the SSC. Multiple linear regression, LASSO and Elastic Net regressions showed good performance for SSC prediction. Sediment flow maps show an SSC reduction in the Doce river channel in recent years, indicating that part of the material from the Fund?ao tailings dam rupture may have been transported through sediment resuspension and transport processes. MenosA B S T R A C T Surface sediment concentration (SSC) is linked to several problems related to water quality and its monitoring is costly because of the required fieldwork and laboratory analyses. Thus, sediment measurements are often sporadic, punctual, and performed during a short period. Orbital remote sensing allows the monitoring of SSC along the river channel permitting continuous and spatial information. This work had two objectives: (1) to model the surface concentration of sediments in the main channel of the Doce river using data from Multispectral Instrument (MSI)/Sentinel 2 and Operational Land Imager (OLI)/Landsat 8 satellite sensors; and (2) to compare different linear modeling approaches to select the best variables for SSC monitoring. For comparison with actual field data, we used mean SSC measurements in 14 sediment gauge stations from 2013 to 2020. Reflectance data of the MSI/Sentinel 2 and OLI/Landsat 8 satellites bands and spectral indices related to the monitoring of water resources were used as explanatory variables. Simple and multiple linear regression models (SLR and MLR), least absolute shrinkage and selection operator (LASSO), and Elastic Net regression were used to predict the SSC. The near-infrared band images from both MSI/Sentinel 2 and OLI/Landsat 8 satellites showed a strong linear relationship with the SSC. Multiple linear regression, LASSO and Elastic Net regressions showed good performance for SSC prediction. Sediment flow maps show an SSC ... Mostrar Tudo |
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Thesagro: |
Barragem; Satélite; Sedimento. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02504naa a2200265 a 4500
001 2147819
005 2022-11-01
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.jenvman.2022.116207$2DOI
100 1 $aAIRES, U. R. V.
245 $aModeling of surface sediment concentration in the Doce River basin using satellite remote sensing.$h[electronic resource]
260 $c2022
300 $a15 p.
520 $aA B S T R A C T Surface sediment concentration (SSC) is linked to several problems related to water quality and its monitoring is costly because of the required fieldwork and laboratory analyses. Thus, sediment measurements are often sporadic, punctual, and performed during a short period. Orbital remote sensing allows the monitoring of SSC along the river channel permitting continuous and spatial information. This work had two objectives: (1) to model the surface concentration of sediments in the main channel of the Doce river using data from Multispectral Instrument (MSI)/Sentinel 2 and Operational Land Imager (OLI)/Landsat 8 satellite sensors; and (2) to compare different linear modeling approaches to select the best variables for SSC monitoring. For comparison with actual field data, we used mean SSC measurements in 14 sediment gauge stations from 2013 to 2020. Reflectance data of the MSI/Sentinel 2 and OLI/Landsat 8 satellites bands and spectral indices related to the monitoring of water resources were used as explanatory variables. Simple and multiple linear regression models (SLR and MLR), least absolute shrinkage and selection operator (LASSO), and Elastic Net regression were used to predict the SSC. The near-infrared band images from both MSI/Sentinel 2 and OLI/Landsat 8 satellites showed a strong linear relationship with the SSC. Multiple linear regression, LASSO and Elastic Net regressions showed good performance for SSC prediction. Sediment flow maps show an SSC reduction in the Doce river channel in recent years, indicating that part of the material from the Fund?ao tailings dam rupture may have been transported through sediment resuspension and transport processes.
650 $aBarragem
650 $aSatélite
650 $aSedimento
700 1 $aSILVA, D. D. da
700 1 $aFERNANDES FILHO, E. I.
700 1 $aRODRIGUES, L. N.
700 1 $aULIANA, E. M.
700 1 $aAMORIM, R. S. S.
700 1 $aRIBEIRO, C. B. de M.
700 1 $aCAMPOS, J. A.
773 $tJournal of Environmental Management$gv. 323, 2022.
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Registro original: |
Embrapa Cerrados (CPAC) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
31/10/2013 |
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Data da última atualização: |
28/08/2014 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
MORAIS, S. L. de; TRENTIN, G.; VOLK, L. B. da S.; TRINDADE, J. P. P.; SILVEIRA, M. C. T. da; LEMOS, J. M.; JASKULSKI, G. F. |
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Afiliação: |
SILVANA LOPES DE MORAIS; GUSTAVO TRENTIN, CPPSUL; LEANDRO BOCHI DA SILVA VOLK, CPPSUL; JOSE PEDRO PEREIRA TRINDADE, CPPSUL; MARCIA CRISTINA T DA SILVEIRA, CPPSUL; JAQUELINE MESK LEMOS; GRACIELA FAGUNDES JASKULSKI. |
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Título: |
Conteúdo de água da parte área de Paspalum notatum, Paspalum pauciciliatum e Paspalum dilatatum submetidos a diferentes condições hídricas. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: JORNADA DE PÓS-GRADUAÇÃO E PESQUISA, 11.; MOSTRA DE INICIAÇÃO CIENTÍFICA, 11.; MOSTRA DE INICIAÇÃO CIENTÍFICA JÚNIOR, 9., 2013, Sant'Ana do Livramento. Anais... Bagé: Ediurcamp, 2013. |
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Descrição Física: |
1 pen drive. |
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Idioma: |
Português |
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Notas: |
CONGREGA 2013. |
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Thesagro: |
Planta. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/91742/1/136.pdf
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Marc: |
LEADER 00834nam a2200205 a 4500
001 1969980
005 2014-08-28
008 2013 bl uuuu u00u1 u #d
100 1 $aMORAIS, S. L. de
245 $aConteúdo de água da parte área de Paspalum notatum, Paspalum pauciciliatum e Paspalum dilatatum submetidos a diferentes condições hídricas.$h[electronic resource]
260 $aIn: JORNADA DE PÓS-GRADUAÇÃO E PESQUISA, 11.; MOSTRA DE INICIAÇÃO CIENTÍFICA, 11.; MOSTRA DE INICIAÇÃO CIENTÍFICA JÚNIOR, 9., 2013, Sant'Ana do Livramento. Anais... Bagé: Ediurcamp$c2013
300 $c1 pen drive.
500 $aCONGREGA 2013.
650 $aPlanta
700 1 $aTRENTIN, G.
700 1 $aVOLK, L. B. da S.
700 1 $aTRINDADE, J. P. P.
700 1 $aSILVEIRA, M. C. T. da
700 1 $aLEMOS, J. M.
700 1 $aJASKULSKI, G. F.
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Embrapa Pecuária Sul (CPPSUL) |
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