Yang, Z.;                     Yang, H.;                     Zhou, Z.;                     Wan, X.;                     Zhang, H.;                     Duan, G.    
        LiDAR-Based Modeling of Individual Tree Height to Crown Base in Picea crassifolia Kom. in Northern China: Comparing Bayesian, Gaussian Process, and Random Forest Approaches. Forests 2024, 15, 1940.
    https://doi.org/10.3390/f15111940
    AMA Style
    
                                Yang Z,                                 Yang H,                                 Zhou Z,                                 Wan X,                                 Zhang H,                                 Duan G.        
                LiDAR-Based Modeling of Individual Tree Height to Crown Base in Picea crassifolia Kom. in Northern China: Comparing Bayesian, Gaussian Process, and Random Forest Approaches. Forests. 2024; 15(11):1940.
        https://doi.org/10.3390/f15111940
    
    Chicago/Turabian Style
    
                                Yang, Zhaohui,                                 Hao Yang,                                 Zeyu Zhou,                                 Xiangxing Wan,                                 Huiru Zhang,                                 and Guangshuang Duan.        
                2024. "LiDAR-Based Modeling of Individual Tree Height to Crown Base in Picea crassifolia Kom. in Northern China: Comparing Bayesian, Gaussian Process, and Random Forest Approaches" Forests 15, no. 11: 1940.
        https://doi.org/10.3390/f15111940
    
    APA Style
    
                                Yang, Z.,                                 Yang, H.,                                 Zhou, Z.,                                 Wan, X.,                                 Zhang, H.,                                 & Duan, G.        
        
        (2024). LiDAR-Based Modeling of Individual Tree Height to Crown Base in Picea crassifolia Kom. in Northern China: Comparing Bayesian, Gaussian Process, and Random Forest Approaches. Forests, 15(11), 1940.
        https://doi.org/10.3390/f15111940