Monitoring cyanobacterial blooms: a strategy combining predictive modeling and remote sensing approaches.

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Title: Monitoring cyanobacterial blooms: a strategy combining predictive modeling and remote sensing approaches.
Authors: Haakonsson, Signe1, shaakonsson@fcien.edu.uy, Maciel, Fernanda2, Rodríguez, Marco A.3, Ponce de León, Lucía2, Rodríguez-Gallego, Lorena4, Arocena, Rafael1, Pedocchi, Francisco2, Bonilla, Sylvia1
Source: Environmental Earth Sciences; Apr2024, Vol. 83 Issue 7, p1-13, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 177000298
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  Data: Monitoring cyanobacterial blooms: a strategy combining predictive modeling and remote sensing approaches.
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Earth+Sciences%22">Environmental Earth Sciences</searchLink>; Apr2024, Vol. 83 Issue 7, p1-13, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177000298
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s12665-024-11488-3
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      – Code: eng
        Text: English
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        PageCount: 13
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      – TitleFull: Monitoring cyanobacterial blooms: a strategy combining predictive modeling and remote sensing approaches.
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            NameFull: Maciel, Fernanda
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            NameFull: Rodríguez, Marco A.
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            NameFull: Ponce de León, Lucía
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            NameFull: Rodríguez-Gallego, Lorena
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            NameFull: Arocena, Rafael
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              Text: Apr2024
              Type: published
              Y: 2024
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            – TitleFull: Environmental Earth Sciences
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