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JI Dabin

Professional TitleAssociate Professor

Emailjidb@aircas.ac.cn

姬大彬
Curriculum Vitae

Dabin Ji received the B.S. degree in Resources Environment and the Management of Urban and Rural Planning and M.Eng degree in Photogrammetry and remote sensing from Shandong University of Science and Technology, Qingdao, China, in 2006 and 2009, respectively, and Ph.D. degree in Cartography and Geographical Information System from Graduate University of Chinese Academy of Sciences, Beijing, China, in 2012. From 2012 to 2018, he was a Research Assistant with the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. He is currently an Assistant Professor in the State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. His research interests include remote sensing of atmospheric water vapor, clouds and precipitation, climate change and water cycle.


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Research Fields

Atmospheric water vapor, clouds and precipitation remote sensing; 

Microwave Remote Sensing

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Awards and Honors

Dabin Ji has received several awards, including: 

(1) Second Prize of the Guangdong Provincial Science and Technology Progress Award; 

(2) Outstanding Reviewer Award from the Journal of Meteorological Research; 

(3) Second Prize for Meteorological Technology Innovation in the China Meteorological Service Association Science and Technology Awards; 

(4) Outstanding Presentation Award at the 2020 Fengyun Meteorological Satellite User Conference by the China Meteorological Association

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Selected Publications

1)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.

2)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

3)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.

4)Ji, D.B., Shi, J.C., Letu, H., Wang, T.X. and Zhao, T.J., 2017. Atmospheric Effect Analysis and Correction of the Microwave Vegetation Index. Remote Sensing, 9(6), p.606.

5)Ji, D. , & Shi, J. . (2014). Water vapor retrieval over cloud cover area on land using amsr-e and modis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(7), 3105-3116.


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Current Leadership

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