Dong, L.;                     Gong, C.;                     Wang, X.;                     Wang, Y.;                     He, D.;                     Hu, Y.;                     Li, L.;                     Yang, Z.    
        Seasonal Monitoring Method for TN and TP Based on Airborne Hyperspectral Remote Sensing Images. Remote Sens. 2024, 16, 1614.
    https://doi.org/10.3390/rs16091614
    AMA Style
    
                                Dong L,                                 Gong C,                                 Wang X,                                 Wang Y,                                 He D,                                 Hu Y,                                 Li L,                                 Yang Z.        
                Seasonal Monitoring Method for TN and TP Based on Airborne Hyperspectral Remote Sensing Images. Remote Sensing. 2024; 16(9):1614.
        https://doi.org/10.3390/rs16091614
    
    Chicago/Turabian Style
    
                                Dong, Lei,                                 Cailan Gong,                                 Xinhui Wang,                                 Yang Wang,                                 Daogang He,                                 Yong Hu,                                 Lan Li,                                 and Zhe Yang.        
                2024. "Seasonal Monitoring Method for TN and TP Based on Airborne Hyperspectral Remote Sensing Images" Remote Sensing 16, no. 9: 1614.
        https://doi.org/10.3390/rs16091614
    
    APA Style
    
                                Dong, L.,                                 Gong, C.,                                 Wang, X.,                                 Wang, Y.,                                 He, D.,                                 Hu, Y.,                                 Li, L.,                                 & Yang, Z.        
        
        (2024). Seasonal Monitoring Method for TN and TP Based on Airborne Hyperspectral Remote Sensing Images. Remote Sensing, 16(9), 1614.
        https://doi.org/10.3390/rs16091614