陈玉玲，全职博士后

合作导师：郭庆华

研究方向：大尺度森林植被参数制图

教育经历：

2015.09-2020.07工学博士 北京林业大学 林业信息工程（硕博连读）

2011.09-2015.07管理学学士 北京林业大学 信息管理与信息系统

期刊论文：

Chen, Y.⁺, Yang,H.⁺,... & Guo, Q*. (2024). EnhancingHigh-Resolution Forest Stand Height Mapping in China through an Individual Tree-Based Approach with Close-Range LiDAR DataEarth System Science Data, 16(11), 5267-5285.

Cheng, K.⁺,Chen, Y.⁺, Xiang, T., ... & Guo, Q*. (2024). A 2020 forest age map for China with 30 m resolution. Earth System Science Data, 16(2), 803-819.

Chen Yand Wang J* (2023) Deep learning for crown profile modelling of Pinus yunnanensis secondary forests in Southwest China. Front. Plant Sci. 14:1093905.

Chen, Y.,Wu, B.*, Chen, D., & Qi, Y. (2019). Using machine learning to assess site suitability for afforestation with particular species. Forests, 10(9), 739.

Chen, Y.,Wu, B.*, & Min, Z. (2019). Stand diameter distribution modeling and prediction based on maximum entropy principle. Forests, 10(10), 859.

Chen, Y.,Dong, C., & Wu, B.*(2022). Crown profile modeling and prediction based on ensemble learning. Forests, 13(3), 410.

Yuling, C., Chengde, W., Baoguo*, W., & Jiancheng, L. (2019). Study on Site Quality Assessment of Afforestation Land Based on GA-RBF Neural Network. Nature Environment & Pollution Technology, 18(4).

陈玉玲,吴保国*,崔岩,魏彦军.基于BP神经网络的华北落叶松小班蓄积预估模型研究与应用[J].中国农业科技导报,2019,21(07):82-93.

Dong, C.,Chen, Y.*, Lou, X., Min, Z., & Bao, J. (2022). Site Quality Classification Models of Cunninghamia Lanceolata Plantations Using Rough Set and Random Forest West of Zhejiang Province, China. Forests, 13(8), 1312.