Meliho, M.;                     Boulmane, M.;                     Khattabi, A.;                     Dansou, C.E.;                     Orlando, C.A.;                     Mhammdi, N.;                     Noumonvi, K.D.    
        Spatial Prediction of Soil Organic Carbon Stock in the Moroccan High Atlas Using Machine Learning. Remote Sens. 2023, 15, 2494.
    https://doi.org/10.3390/rs15102494
    AMA Style
    
                                Meliho M,                                 Boulmane M,                                 Khattabi A,                                 Dansou CE,                                 Orlando CA,                                 Mhammdi N,                                 Noumonvi KD.        
                Spatial Prediction of Soil Organic Carbon Stock in the Moroccan High Atlas Using Machine Learning. Remote Sensing. 2023; 15(10):2494.
        https://doi.org/10.3390/rs15102494
    
    Chicago/Turabian Style
    
                                Meliho, Modeste,                                 Mohamed Boulmane,                                 Abdellatif Khattabi,                                 Caleb Efelic Dansou,                                 Collins Ashianga Orlando,                                 Nadia Mhammdi,                                 and Koffi Dodji Noumonvi.        
                2023. "Spatial Prediction of Soil Organic Carbon Stock in the Moroccan High Atlas Using Machine Learning" Remote Sensing 15, no. 10: 2494.
        https://doi.org/10.3390/rs15102494
    
    APA Style
    
                                Meliho, M.,                                 Boulmane, M.,                                 Khattabi, A.,                                 Dansou, C. E.,                                 Orlando, C. A.,                                 Mhammdi, N.,                                 & Noumonvi, K. D.        
        
        (2023). Spatial Prediction of Soil Organic Carbon Stock in the Moroccan High Atlas Using Machine Learning. Remote Sensing, 15(10), 2494.
        https://doi.org/10.3390/rs15102494