Yang, B.;                     Du, W.;                     Zou, Y.;                     Zhang, H.;                     Chai, H.;                     Wang, W.;                     Song, X.;                     Zhang, W.    
        Reconstruction of Coal Mining Subsidence Field by Fusion of SAR and UAV LiDAR Deformation Data. Remote Sens. 2024, 16, 3383.
    https://doi.org/10.3390/rs16183383
    AMA Style
    
                                Yang B,                                 Du W,                                 Zou Y,                                 Zhang H,                                 Chai H,                                 Wang W,                                 Song X,                                 Zhang W.        
                Reconstruction of Coal Mining Subsidence Field by Fusion of SAR and UAV LiDAR Deformation Data. Remote Sensing. 2024; 16(18):3383.
        https://doi.org/10.3390/rs16183383
    
    Chicago/Turabian Style
    
                                Yang, Bin,                                 Weibing Du,                                 Youfeng Zou,                                 Hebing Zhang,                                 Huabin Chai,                                 Wei Wang,                                 Xiangyang Song,                                 and Wenzhi Zhang.        
                2024. "Reconstruction of Coal Mining Subsidence Field by Fusion of SAR and UAV LiDAR Deformation Data" Remote Sensing 16, no. 18: 3383.
        https://doi.org/10.3390/rs16183383
    
    APA Style
    
                                Yang, B.,                                 Du, W.,                                 Zou, Y.,                                 Zhang, H.,                                 Chai, H.,                                 Wang, W.,                                 Song, X.,                                 & Zhang, W.        
        
        (2024). Reconstruction of Coal Mining Subsidence Field by Fusion of SAR and UAV LiDAR Deformation Data. Remote Sensing, 16(18), 3383.
        https://doi.org/10.3390/rs16183383