Zhou, J.;                     Li, Y.;                     Ma, Q.;                     Liu, Q.;                     Li, W.;                     Miao, Z.;                     Zhu, C.    
        Window-Based Filtering Aerosol Retrieval Algorithm of Fine-Scale Remote Sensing Images: A Case Using Sentinel-2 Data in Beijing Region. Remote Sens. 2023, 15, 2172.
    https://doi.org/10.3390/rs15082172
    AMA Style
    
                                Zhou J,                                 Li Y,                                 Ma Q,                                 Liu Q,                                 Li W,                                 Miao Z,                                 Zhu C.        
                Window-Based Filtering Aerosol Retrieval Algorithm of Fine-Scale Remote Sensing Images: A Case Using Sentinel-2 Data in Beijing Region. Remote Sensing. 2023; 15(8):2172.
        https://doi.org/10.3390/rs15082172
    
    Chicago/Turabian Style
    
                                Zhou, Jian,                                 Yingjie Li,                                 Qingmiao Ma,                                 Qiaomiao Liu,                                 Weiguo Li,                                 Zilu Miao,                                 and Changming Zhu.        
                2023. "Window-Based Filtering Aerosol Retrieval Algorithm of Fine-Scale Remote Sensing Images: A Case Using Sentinel-2 Data in Beijing Region" Remote Sensing 15, no. 8: 2172.
        https://doi.org/10.3390/rs15082172
    
    APA Style
    
                                Zhou, J.,                                 Li, Y.,                                 Ma, Q.,                                 Liu, Q.,                                 Li, W.,                                 Miao, Z.,                                 & Zhu, C.        
        
        (2023). Window-Based Filtering Aerosol Retrieval Algorithm of Fine-Scale Remote Sensing Images: A Case Using Sentinel-2 Data in Beijing Region. Remote Sensing, 15(8), 2172.
        https://doi.org/10.3390/rs15082172