Tziolas, N.;                     Tsakiridis, N.;                     Ben-Dor, E.;                     Theocharis, J.;                     Zalidis, G.    
        Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data. Remote Sens. 2020, 12, 1389.
    https://doi.org/10.3390/rs12091389
    AMA Style
    
                                Tziolas N,                                 Tsakiridis N,                                 Ben-Dor E,                                 Theocharis J,                                 Zalidis G.        
                Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data. Remote Sensing. 2020; 12(9):1389.
        https://doi.org/10.3390/rs12091389
    
    Chicago/Turabian Style
    
                                Tziolas, Nikolaos,                                 Nikolaos Tsakiridis,                                 Eyal Ben-Dor,                                 John Theocharis,                                 and George Zalidis.        
                2020. "Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data" Remote Sensing 12, no. 9: 1389.
        https://doi.org/10.3390/rs12091389
    
    APA Style
    
                                Tziolas, N.,                                 Tsakiridis, N.,                                 Ben-Dor, E.,                                 Theocharis, J.,                                 & Zalidis, G.        
        
        (2020). Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data. Remote Sensing, 12(9), 1389.
        https://doi.org/10.3390/rs12091389