Li Linyuan
Research Interests: Focusing on "quantitative remote sensing of vegetation by near-ground UAV", carry out research on inversion of physiological and biochemical parameters of vegetation, radiative transfer modelling, monitoring of forest stress and disturbance, etc., which will be used in forest survey, physiological and ecological monitoring, phenology breeding, and disaster assessment and prediction.
E-mail: lilinyuan@bjfu.edu.cn
Personal website: http://www.rs-lilinyuan.com/
Representative papers
[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.
