Article Versions Notes

Fan G, Zhang B, Zhou J, Wang R, Xu Q, Zeng X, Lu F, Luo W, Cai H, Wang Y, et al. Satellite Image Fusion Airborne LiDAR Point-Clouds-Driven Machine Learning Modeling to Predict the Carbon Stock of Typical Subtropical Plantation in China. Forests. 2024; 15(5):751. https://doi.org/10.3390/f15050751

Fan, Guangpeng, Binghong Zhang, Jialing Zhou, Ruoyoulan Wang, Qingtao Xu, Xiangquan Zeng, Feng Lu, Weisheng Luo, Huide Cai, Yongguo Wang, and et al. 2024. "Satellite Image Fusion Airborne LiDAR Point-Clouds-Driven Machine Learning Modeling to Predict the Carbon Stock of Typical Subtropical Plantation in China" Forests 15, no. 5: 751. https://doi.org/10.3390/f15050751

Fan, G., Zhang, B., Zhou, J., Wang, R., Xu, Q., Zeng, X., Lu, F., Luo, W., Cai, H., Wang, Y., Dong, Z., & Gao, C. (2024). Satellite Image Fusion Airborne LiDAR Point-Clouds-Driven Machine Learning Modeling to Predict the Carbon Stock of Typical Subtropical Plantation in China. Forests, 15(5), 751. https://doi.org/10.3390/f15050751