Dabin Ji is currently an Associate Professor and also serves as a master's supervisor in the State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences.
Email: jidb@aircas.ac.cn
Research Areas
Microwave remote sensing, atmospheric remote sensing, hydrological cycle remote sensing, and climate change
Education
Ph.D. 2012 Institute of Remote Sensing Applications, Chinese Academy of Sciences in Cartography and Geographical Information System
M.Eng 2009 Shandong University of Science and Technology in Photogrammetry and remote sensing
B.S. 2006 Shandong University of Science and Technology in Resources Environment and the Management of Urban and Rural Planning
Experience
2020-03~Present, Aerospace Information Research Institute, Chinese Academy of Sciences, Assistant Professor
2018-07~2020-03, Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Assistant Professor
2012-07~2018-07, Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Research Assistant
Publications
Papers
1) Sun, Q., Letu, H., Wang, Y., Zhang, P., Liang, H., Shi, C., Yin, S., Shi, J., and Ji, D.*. (2026). An hourly 0.02° total precipitable water dataset for all-weather conditions over the Tibetan Plateau through the fusion of observations of geostationary and multi-source microwave satellites, Earth System Science Data, 18, 371–395, https://doi.org/10.5194/essd-18-371-2026.
2) Ji, D., Letu, H., Ri, X., Xu, N., Li, X., Li, X., Zhang, G., Wang, Y., & Shi, J.. (2025). A New Dynamically Updated Geostationary Satellite Precipitation Estimation Algorithm for Near Real-Time Condition. IEEE Transactions on Geoscience and Remote Sensing, 63, 1–22. https://doi.org/10.1109/tgrs.2025.3583904
3) Sun, Q., Ji, D.*, Letu, H., Ni, X., Zhang, H., Wang, Y., Li, B., & Shi, J. (2024). A method for estimating high spatial resolution total precipitable water in all-weather condition by fusing satellite near-infrared and microwave observations. Remote Sensing of Environment, 302, 113952. doi:https://doi.org/10.1016/j.rse.2023.113952.
4) Ji D., Shi J., Letu H., Li W., Zhang H., & Shang H., (2021). A Total Precipitable Water Product and Its Trend Analysis in Recent Years Based on Passive Microwave Radiometers. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 7324–7335.
5) Ji, D., Shi, J., Xiong, C., Wang, T. and Zhang, Y., 2017. A total precipitable water retrieval method over land using the combination of passive microwave and optical remote sensing. Remote sensing of environment, 191, pp.313-327.