Jiancheng Shi is a National Distinguished Researcher at the National Space Science Center of the Chinese Academy of Sciences, focusing on fundamental theories and cutting-edge technologies in remote sensing science and applications. He developed a fast microwave radiative transfer model for key parameters of land surface water and energy exchange processes, created remote sensing inversion algorithms for separable microwave radiation signals of soil, vegetation, and snow, and pioneered the design and demonstration of new remote sensing payloads and satellite programs for observing the global water cycle. He has established the Committee on Space Earth Sciences and promoted the integration of remote sensing technology and Earth system process models in China
As a chief scientist, he has led projects including the National Basic Research Program of China Program), the National High Technology Research and Development Program of China, the Key Program of the National Natural Science Foundation of China. He has published over 500 papers with over 16,000 citations, and has consistently been listed in Elsevier’s Top 2% Scientist Rankings. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), SPIE, and the Electromagnetic Academy, Dr. Shi serves as an Associate Editor for the journal "Remote Sensing of Environment," an editorial board member for "Science China Earth Sciences," and the editor-in-chief of "Remote Sensing Technology and Application."
RESEARCH INTERESTS:
1. Theory and modeling of snow scattering and radiation in active and passive remote sensing, modeling of quantitative inversion of snow parameters, and corresponding validation methods.
2. Modeling theory of soil backscattering and emissivity in active, passive, and combined active-passive, the quantitative retrieval of soil moisture, and corresponding validation techniques in microwave remote sensing.
3. Theory of vegetation scattering and emission simulation, techniques for quantitative retrieval of vegetation parameters.
4. Developing the intergrated methods with the multi-source remote sensing observations and land surface process models to improve the modeling capability, and to address the energy and water balance issues in coupled systems of snow, soil, vegetation, and atmosphere.
5. Development and establishment of a global water cycle satellite observation system.
EDUCATION:
Ph.D., Geography, University of California, Santa Barbara, 1987.9-1991.12
M.S., Geography, University of California, Santa Barbara, 1985.9-1987.7
B.Sc., Hydrogeology and Engineering Geology, Lanzhou University, 1978.2-1982.1
PROFESSIONAL EXPERIENCE:
| 2020.7-present | Senior Research Scientist at National Space Science Center, Chinese Academy of Sciences (CAS), Beijing, China |
| 2010.3-2020.6 | Senior Research Scientist and Director of State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, CAS, Beijing, China |
| 2018.3-2020.12 | Adjunct Professor and Dean of School of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, China |
| 2003-2010 | Research Scientist, Institute for Computational Earth System Science, University of California, Santa Barbara, US |
| 1997-2003 | Associate Research Scientist, Institute for Computational Earth System Science, University of California, Santa Barbara, US |
| 1991.12-1997 | Research assistant Scientist, Institute for Computational Earth System Science, University of California, Santa Barbara, US |
| 1982-1984 | Assistant engineer, China Institute of Water Resources and Hydropower Research, Beijing, China |
