APA (7th ed.) Citation

Yan, X., Li, J., Smith, A. R., Yang, D., Ma, T., Su, Y., & Shao, J. (2023). Evaluation of machine learning methods and multi-source remote sensing data combinations to construct forest above-ground biomass models. Taylor & Francis Group.

Chicago Style (17th ed.) Citation

Yan, Xingguang, Jing Li, Andrew R. Smith, Di Yang, Tianyue Ma, YiTing Su, and Jiahao Shao. Evaluation of Machine Learning Methods and Multi-source Remote Sensing Data Combinations to Construct Forest Above-ground Biomass Models. Taylor & Francis Group, 2023.

MLA (9th ed.) Citation

Yan, Xingguang, et al. Evaluation of Machine Learning Methods and Multi-source Remote Sensing Data Combinations to Construct Forest Above-ground Biomass Models. Taylor & Francis Group, 2023.