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Big Earth Data
Volume 8, 2024 - Issue 1
Original Research Article
An application of 1D convolution and deep learning to remote sensing modelling of Secchi depth in the northern Adriatic Sea
Antonia Ivandaa Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, CroatiaCorrespondence[email protected]
https://orcid.org/0000-0001-8509-8470View further author information
https://orcid.org/0000-0001-8509-8470View further author information, Ljiljana Šerića Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatiahttps://orcid.org/0000-0002-6390-1899View further author information
https://orcid.org/0000-0002-6390-1899View further author information, Dušan Žagarb Faculty of Civil and Geodetic Engineering, University of Ljubljana, Ljubljana, Sloveniahttps://orcid.org/0000-0001-6676-1310View further author information
https://orcid.org/0000-0001-6676-1310View further author information & Krištof Oštirb Faculty of Civil and Geodetic Engineering, University of Ljubljana, Ljubljana, Sloveniahttps://orcid.org/0000-0002-4887-7798View further author information
https://orcid.org/0000-0002-4887-7798View further author information