Xu, T.;                     Wang, F.;                     Xie, L.;                     Yao, X.;                     Zheng, J.;                     Li, J.;                     Chen, S.    
        Integrating the Textural and Spectral Information of UAV Hyperspectral Images for the Improved Estimation of Rice Aboveground Biomass. Remote Sens. 2022, 14, 2534.
    https://doi.org/10.3390/rs14112534
    AMA Style
    
                                Xu T,                                 Wang F,                                 Xie L,                                 Yao X,                                 Zheng J,                                 Li J,                                 Chen S.        
                Integrating the Textural and Spectral Information of UAV Hyperspectral Images for the Improved Estimation of Rice Aboveground Biomass. Remote Sensing. 2022; 14(11):2534.
        https://doi.org/10.3390/rs14112534
    
    Chicago/Turabian Style
    
                                Xu, Tianyue,                                 Fumin Wang,                                 Lili Xie,                                 Xiaoping Yao,                                 Jueyi Zheng,                                 Jiale Li,                                 and Siting Chen.        
                2022. "Integrating the Textural and Spectral Information of UAV Hyperspectral Images for the Improved Estimation of Rice Aboveground Biomass" Remote Sensing 14, no. 11: 2534.
        https://doi.org/10.3390/rs14112534
    
    APA Style
    
                                Xu, T.,                                 Wang, F.,                                 Xie, L.,                                 Yao, X.,                                 Zheng, J.,                                 Li, J.,                                 & Chen, S.        
        
        (2022). Integrating the Textural and Spectral Information of UAV Hyperspectral Images for the Improved Estimation of Rice Aboveground Biomass. Remote Sensing, 14(11), 2534.
        https://doi.org/10.3390/rs14112534