Li, P.;                     Hao, F.;                     Wu, H.;                     Nie, H.    
        Spatiotemporal Dynamic Analysis of Eutrophication Status Based on Machine Learning-Based Retrieval Algorithm: Case Study in Liangzi Lake, Hubei, China. Remote Sens. 2024, 16, 4192.
    https://doi.org/10.3390/rs16224192
    AMA Style
    
                                Li P,                                 Hao F,                                 Wu H,                                 Nie H.        
                Spatiotemporal Dynamic Analysis of Eutrophication Status Based on Machine Learning-Based Retrieval Algorithm: Case Study in Liangzi Lake, Hubei, China. Remote Sensing. 2024; 16(22):4192.
        https://doi.org/10.3390/rs16224192
    
    Chicago/Turabian Style
    
                                Li, Peifeng,                                 Fanghua Hao,                                 Hao Wu,                                 and Hanjiang Nie.        
                2024. "Spatiotemporal Dynamic Analysis of Eutrophication Status Based on Machine Learning-Based Retrieval Algorithm: Case Study in Liangzi Lake, Hubei, China" Remote Sensing 16, no. 22: 4192.
        https://doi.org/10.3390/rs16224192
    
    APA Style
    
                                Li, P.,                                 Hao, F.,                                 Wu, H.,                                 & Nie, H.        
        
        (2024). Spatiotemporal Dynamic Analysis of Eutrophication Status Based on Machine Learning-Based Retrieval Algorithm: Case Study in Liangzi Lake, Hubei, China. Remote Sensing, 16(22), 4192.
        https://doi.org/10.3390/rs16224192