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    Predicting Sargassum blooms in the Caribbean Sea from MODIS observations. 

    Wang, Mengqiu; Hu, Chuanmin (2017)
    Recurrent and significant Sargassum beaching events in the Caribbean Sea (CS) have caused serious environmental and economic problems, calling for a long-term prediction capacity of Sargassum blooms. Here we present ...
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    Video monitoring framework in support of sargassum management, 

    Valentini, Nico; Balouin, Yann; Bouvier, Clement; Nachbaur, Aude; Moisan, Manuel; Laigre, Thibault (2019)
    The waters off Caribbean islands have seen large amounts of Sargassum seaweed during the last years (Wang and Hu, 2016). This record-breaking events of algae blooms and mass stranding started in earnest in 2011, then ...
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    ERISNet: deep neural network for Sargassum detection along the coastline of the Mexican Caribbean. 

    Arellano-Verdejo, J.; Lazcano-Hernandez, H.E.; Cabanillas-Terán, N. (2019)
    Recently, Caribbean coasts have experienced atypical massive arrivals of pelagic Sargassum with negative consequences both ecologically and economically. Based on deep learning techniques, this study proposes a novel ...

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    AuthorArellano-Verdejo, J. (1)Balouin, Yann (1)Bouvier, Clement (1)Cabanillas-Terán, N. (1)Hu, Chuanmin (1)Laigre, Thibault (1)Lazcano-Hernandez, H.E. (1)Moisan, Manuel (1)Nachbaur, Aude (1)Valentini, Nico (1)... View MoreSubject
    Algal blooms (3)
    Biological oceanography (3)Management (3)Sargassum (3)Deep learning (1)Macroalgae (1)Moderate Resolution Imaging Spectroradiometer (MODIS) (1)MODIS (1)Neural networks (1)radiometers (1)... View MoreDate Issued2019 (2)2017 (1)Has File(s)Yes (3)

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