Xihan Mu, associate professor,
1. Basic information:
Name: MU Xihan
Academic degree： Ph.D.
Phone: (+86) 10 58802041
Address: 100875 Faculty of Geographical Science, Beijing Normal University
Mu Xihan is currently an associate professor in Faculty of Geographical Science, Beijing Normal University
He received B.S. degree in computer science and technology fromCollegeofInformation Scienceand Technology,Beijing Normal University,China, in 1999,
received Ph.D. degree in remote sensing fromSchoolofGeography,Beijing Normal University,China, in 2009,
studied as a visiting student in Laboratoire des Sciences de l'Images, de l'Informatique et de la Télédétection, Louis Pasteur University, France, in 2007, and visited CSIRO Land and Water, Australia, from 2016 to 2017.
3. Research interests：
multi-angle remote sensing technique to retrieve terrestrial vegetation parameters such as leaf area index and fractional vegetation cover, modeling of radiative transfer in vegetation canopy and field measurement based on Unmanned Automatic Vehicle
Attended National Basic Research Program of China, National High Technology Research and Development Program of China, Seventh Framework Program (EU), etc.
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.
Mu, X., Song, W.*, Gao, Z., McVicar, T.R., Donohue, R.J., Yan, G., 2018, Fractional vegetation cover estimation by using multi-angle vegetation index, Remote Sensing of Environment, 216:44-56.
Mu, X.*, Hu,R., Zeng, Y., McVicar, T. R., Ren,H., Song,W., Wang,Y., Casa, R., Qi, J., Xie, D. & Yan,G., 2017, Estimating structural parameters of agricultural crops from ground-based multi-angular digital images with a fractional model of sun and shade components.Agricultural and forest meteorology, 246: 162-177.
Song W, Mu X*,Ruan G, Gao Z, Li L, Yan G .Estimating fractional vegetation cover and the vegetation index of bare soil and highly dense vegetation with a physically based method. International Journal of Applied Earth Observation and Geoinformation. 2017 Jun 30;58:168-76.
Xihan Mu, Maogui Hu, Wanjuan Song, Gaiyan Ruan, Yong Ge, Jinfeng Wang, Shuai Huang and Guangjian Yan, 2015, Evaluation of Sampling Methods for Validation of Remotely Sensed Fractional Vegetation Cover,Remote Sens., 7(12),16164-16182;doi:10.3390/rs71215817
WanjuanSong, Xihan Mu*, Guangjian Yan and Shuai Huang, 2015,Extracting the Green Fractional Vegetation Cover from Digital Images Using a Shadow-Resistant Algorithm (SHAR-LABFVC), Remote Sensing, 7, 10425-10443.DOI:10.3390/rs70810425.
Xihan Mu*,Shuai Huang, Huazhong Ren, Guangjian. Yan, Wanjuan Song, Gaiyan Ruan,2015, Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-resolution Remote Sensing Images Over Croplands, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2): 439-446.
Yaokai Liu, Xihan Mu*, Haoxing Wang, Guangjian Yan, 2012, A novel method for extracting green fractional vegetation cover from digital images, Journal of Vegetation Science, 23,406-418.
Xihan Mu*,Qingfeng Shen,Zhao-Liang Li, Guangjian Yan, José Antonio Sobrino, 2011,Comparison of different optimization algorithms for retrieving aerosol optical depth from satellite data: an example of using dual-angle algorithm, International Journal of Remote Sensing, 32(24),8949-8968.
Xihan Mu, Guangjian Yan*,Zhao-Liang Li, 2008, Uncertainty and sensitivity ratio of parameters inestimating and promoting retrieval accuracy, International Journal of Remote Sensing, Volume 29, Issue 17 & 18, pages 4891 – 4905.
Guangjian Yan*, Xihan Mu, Yinchi Ma, Zhao-LiangLi,2008, A strategy to integrate a priori knowledge for an improved inversionof the LAI from BRDF modeling, International Journal of Remote Sensing, Volume 29, Issue 17 & 18, pages 4927 – 4941.