Shahabi, H.;                     Jarihani, B.;                     Tavakkoli Piralilou, S.;                     Chittleborough, D.;                     Avand, M.;                     Ghorbanzadeh, O.    
        A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia. Sensors 2019, 19, 4893.
    https://doi.org/10.3390/s19224893
    AMA Style
    
                                Shahabi H,                                 Jarihani B,                                 Tavakkoli Piralilou S,                                 Chittleborough D,                                 Avand M,                                 Ghorbanzadeh O.        
                A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia. Sensors. 2019; 19(22):4893.
        https://doi.org/10.3390/s19224893
    
    Chicago/Turabian Style
    
                                Shahabi, Hejar,                                 Ben Jarihani,                                 Sepideh Tavakkoli Piralilou,                                 David Chittleborough,                                 Mohammadtaghi Avand,                                 and Omid Ghorbanzadeh.        
                2019. "A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia" Sensors 19, no. 22: 4893.
        https://doi.org/10.3390/s19224893
    
    APA Style
    
                                Shahabi, H.,                                 Jarihani, B.,                                 Tavakkoli Piralilou, S.,                                 Chittleborough, D.,                                 Avand, M.,                                 & Ghorbanzadeh, O.        
        
        (2019). A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia. Sensors, 19(22), 4893.
        https://doi.org/10.3390/s19224893