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Sentinel-2 imagery coupled with machine learning to modelling water turbidity in the Doce River Basin, Brazil.

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Title: Sentinel-2 imagery coupled with machine learning to modelling water turbidity in the Doce River Basin, Brazil.
Authors: Santana, Felipe Carvalho1 (AUTHOR) fcsantana90@gmail.com, Francelino, Márcio Rocha1 (AUTHOR) marcio.francelino@gmail.com, Siqueira, Rafael Gomes1 (AUTHOR) rafael.g.siqueira@ufv.br, Veloso, Gustavo Vieira1 (AUTHOR) gustavo.v.veloso@gmail.com, Santana, Adalgisa de Jesus Pereira1 (AUTHOR) adalgisa.pereira@gmail.com, Schaefer, Carlos Ernesto Gonçalves Reynaud1 (AUTHOR) carlos.schaefer@ufv.br, Fernandes-Filho, Elpídio Inácio1 (AUTHOR) elpidio@ufv.br
Source: Environmental Monitoring & Assessment. Apr2025, Vol. 197 Issue 4, p1-22. 22p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 184555332
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  Data: Sentinel-2 imagery coupled with machine learning to modelling water turbidity in the Doce River Basin, Brazil.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=184555332
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      – Type: doi
        Value: 10.1007/s10661-025-13918-6
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      – Code: eng
        Text: English
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      – TitleFull: Sentinel-2 imagery coupled with machine learning to modelling water turbidity in the Doce River Basin, Brazil.
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            NameFull: Santana, Felipe Carvalho
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            NameFull: Francelino, Márcio Rocha
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            NameFull: Siqueira, Rafael Gomes
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            NameFull: Veloso, Gustavo Vieira
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            NameFull: Santana, Adalgisa de Jesus Pereira
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            NameFull: Schaefer, Carlos Ernesto Gonçalves Reynaud
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            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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              Value: 197
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              Value: 4
          Titles:
            – TitleFull: Environmental Monitoring & Assessment
              Type: main
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