Personal Information
Zhicai Li
Professor
Email：zcli@cumtb.edu.cn
Research Interests
(1) GNSS data processing method, research and application;
(2) GNSS/InSAR/GRACE jointly inversion
(3) Combination navigation
Education/Work Background
1995.09-1999.07，School of Geodesy and Geomatics, Wuhan Technology University of Surveying and Mapping, Bachelor;
1999.09-2002.07，School of Geodesy and Geomatics, Wuhan University, Master；
2002.09-2005.06，School of Geodesy and Geomatics, Wuhan University, PhD；
2005.07-2007.12，Geodesy Department, National Geomatics Center of China, Engineer；
2008.01-2020.11，Geodesy Department, National Geomatics Center of China, Senior Engineer；
2020.12-2021.09，Geodesy Department, National Geomatics Center of China, Professional Senior Engineer；
2021.10-Now，School of Geoscience and Surveying, China University of Mining and Technology-Beijing, Professor.
Teaching Courses
Fundamentals of Surveying
Fundamentals of Geodesy
Key Research Funding
[1]. Li Zhicai. The geodetic joint inversion and its application considering the earth layer model. National Natural Science Foundation of China (No. 41274030), 2013-2016, PI
[2]. Li Zhicai. Global datum unification and conversion technology for typical feature extraction. National Key Research and Development Special Sub project (2016YFB0501405-4), 2016-2021. PI
[3]. Li Zhicai. GNSS data processing and quality analysis software development, market commissioned project, 2022-2023, PI
[4]. Li Zhicai. Research and development of high-precision data processing system for railway track cars, commissioned by the market project, 2022-2024, PI
Honors
2020.10, I won the second Prize of the 2020 Satellite Navigation and Positioning Science and Technology Award "Research on Crustal Movement Characteristics Based on GNSS Observations and China's Dynamic Reference Framework", Preface 1
2019.12, I was selected as the third tier of high-level scientific and technological innovation talents by the Ministry of Natural Resources.
Selected Publications
[1] Zhang, J.; Li, Z.*; Zhang, P.; Yang, F.; Wu, J.; Liu, X.; Wang, X.; Tan, Q. Assessing the Nonlinear Changes in Global Navigation Satellite System Vertical Time Series with Environmental Loading in Mainland China. Remote Sens. 2023, 15, 4115. https://doi.org/10.3390/ rs15164115
[2] Li Z, Gong X, Liu M, Tang H, Yao Y, Liu M, Yang F. A Temperature Refinement Method Using the ERA5 Reanalysis Data. Atmosphere. 2022; 13(10):1622. https://doi.org/10.3390/atmos13101622
[3] Li, Z.; Zang, J.; Fan, S.; Wen, Y.; Xu, C.; Yang, F.; Peng, X.; Zhao, L.; Zhou, X. Real-Time Source Modeling of the 2022 Mw 6.6 Menyuan, China Earthquake with High-Rate GNSS Observations. Remote Sens. 2022, 14, 5378. https://doi.org/10.3390/ rs14215378
[4] Kaihua Ding, Qi Wang, Zhicai Li*, Ping He, Peng Zhang, Jianfeng Chen, Xinzhao You, Lijiang Zhao; Rapid Source Determination of the 2021 Mw 7.4 Maduo Earthquake by a Dense High‐Rate GNSS Network in the Tibetan Plateau. Seismological Research Letters 2022; doi: https://doi.org/10.1785/0220210307
[5] Li, Z., Ding, K., Zhang, P., Wen, Y., Zhao, L., Chen, J. Coseismic Deformation and Slip Distribution of 2021 Mw 7.4 Madoi Earthquake from GNSS Observation. Geomatics and Information Science of Wuhan University, 2021, 46 (10), pp. 1489-1497. doi: 10.13203/
j.whugis 20210301