研究方向：围绕“近地面无人机植被定量遥感”，开展植被生理生化参数反演、辐射传输建模、森林胁迫与干扰监测等方面研究，服务于森林调查、生理生态监测、表型育种、灾害评估与预测等。
邮箱：lilinyuan@bjfu.edu.cn
个人网站：www.rs-lilinyuan.com
代表性论文
[1] Li, L., Mu, X.*, Qi, J., Pisek, J., Roosjen, P., Yan, G., Huang, H., Liu, S., Baret, F., 2021. Characterizing soil background BRDF in open forests using UAV-based multi-angular images. ISPRS J. Photogramm. Remote Sens. 177, 263-278.
[2] Li, L., Mu, X.*, Macfarlane, C., Song, W., Chen, J., Yan, K., Yan, G., 2018. A half-Gaussian fitting method for estimating fractional vegetation cover of corn crops using unmanned aerial vehicle images. Agricultural and Forest Meteorology. 262, 379–390.
[3] Li, L.*, Mu, X., Chianucci F., Qi, J., Jiang, J., Zhou, J., Chen, L., Huang, H., Yan, G., Liu, S., 2022. Ultrahigh-resolution boreal forest canopy mapping: combining UAV imagery and photogrammetric point clouds in a deep-learning-based approach. International Journal of Applied Earth Observation and Geoinformation.
