Liu, Y.;                     Shi, Z.;                     Zhang, G.;                     Chen, Y.;                     Li, S.;                     Hong, Y.;                     Shi, T.;                     Wang, J.;                     Liu, Y.    
        Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library. Remote Sens. 2018, 10, 1747.
    https://doi.org/10.3390/rs10111747
    AMA Style
    
                                Liu Y,                                 Shi Z,                                 Zhang G,                                 Chen Y,                                 Li S,                                 Hong Y,                                 Shi T,                                 Wang J,                                 Liu Y.        
                Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library. Remote Sensing. 2018; 10(11):1747.
        https://doi.org/10.3390/rs10111747
    
    Chicago/Turabian Style
    
                                Liu, Yi,                                 Zhou Shi,                                 Ganlin Zhang,                                 Yiyun Chen,                                 Shuo Li,                                 Yongshen Hong,                                 Tiezhu Shi,                                 Junjie Wang,                                 and Yaolin Liu.        
                2018. "Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library" Remote Sensing 10, no. 11: 1747.
        https://doi.org/10.3390/rs10111747
    
    APA Style
    
                                Liu, Y.,                                 Shi, Z.,                                 Zhang, G.,                                 Chen, Y.,                                 Li, S.,                                 Hong, Y.,                                 Shi, T.,                                 Wang, J.,                                 & Liu, Y.        
        
        (2018). Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library. Remote Sensing, 10(11), 1747.
        https://doi.org/10.3390/rs10111747