Ding, H.;                     Na, J.;                     Jiang, S.;                     Zhu, J.;                     Liu, K.;                     Fu, Y.;                     Li, F.    
        Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping—A Case Study of the Loess Plateau, China. Remote Sens. 2021, 13, 1021.
    https://doi.org/10.3390/rs13051021
    AMA Style
    
                                Ding H,                                 Na J,                                 Jiang S,                                 Zhu J,                                 Liu K,                                 Fu Y,                                 Li F.        
                Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping—A Case Study of the Loess Plateau, China. Remote Sensing. 2021; 13(5):1021.
        https://doi.org/10.3390/rs13051021
    
    Chicago/Turabian Style
    
                                Ding, Hu,                                 Jiaming Na,                                 Shangjing Jiang,                                 Jie Zhu,                                 Kai Liu,                                 Yingchun Fu,                                 and Fayuan Li.        
                2021. "Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping—A Case Study of the Loess Plateau, China" Remote Sensing 13, no. 5: 1021.
        https://doi.org/10.3390/rs13051021
    
    APA Style
    
                                Ding, H.,                                 Na, J.,                                 Jiang, S.,                                 Zhu, J.,                                 Liu, K.,                                 Fu, Y.,                                 & Li, F.        
        
        (2021). Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping—A Case Study of the Loess Plateau, China. Remote Sensing, 13(5), 1021.
        https://doi.org/10.3390/rs13051021