Bachri, I.;                     Hakdaoui, M.;                     Raji, M.;                     Teodoro, A.C.;                     Benbouziane, A.    
        Machine Learning Algorithms for Automatic Lithological Mapping Using Remote Sensing Data: A Case Study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti-Atlas, Morocco. ISPRS Int. J. Geo-Inf. 2019, 8, 248.
    https://doi.org/10.3390/ijgi8060248
    AMA Style
    
                                Bachri I,                                 Hakdaoui M,                                 Raji M,                                 Teodoro AC,                                 Benbouziane A.        
                Machine Learning Algorithms for Automatic Lithological Mapping Using Remote Sensing Data: A Case Study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti-Atlas, Morocco. ISPRS International Journal of Geo-Information. 2019; 8(6):248.
        https://doi.org/10.3390/ijgi8060248
    
    Chicago/Turabian Style
    
                                Bachri, Imane,                                 Mustapha Hakdaoui,                                 Mohammed Raji,                                 Ana Cláudia Teodoro,                                 and Abdelmajid Benbouziane.        
                2019. "Machine Learning Algorithms for Automatic Lithological Mapping Using Remote Sensing Data: A Case Study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti-Atlas, Morocco" ISPRS International Journal of Geo-Information 8, no. 6: 248.
        https://doi.org/10.3390/ijgi8060248
    
    APA Style
    
                                Bachri, I.,                                 Hakdaoui, M.,                                 Raji, M.,                                 Teodoro, A. C.,                                 & Benbouziane, A.        
        
        (2019). Machine Learning Algorithms for Automatic Lithological Mapping Using Remote Sensing Data: A Case Study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti-Atlas, Morocco. ISPRS International Journal of Geo-Information, 8(6), 248.
        https://doi.org/10.3390/ijgi8060248