Dr. Luyi Sun received the B.S.
and M.Sc. degrees from the Beijing Institute of Technology, Beijing, China, in
2009 and 2012, respectively, and the Ph.D. degree in space and climate physics
from University College London, London, UK, in 2017. She is currently with the
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,
Shenzhen, China. Her research endeavors encompass the monitoring of Earth's
surface deformations through the utilization of microwave remote sensing.
Furthermore, she is involved in the investigation of spatiotemporal alterations
in geographical features, facilitated by the integration of synthetic aperture
radar and multispectral imagery.
Dr. Longlong Zhao received the Ph.D. degree from the China University of Geosciences, Beijing, China, in 2017.From 2017 to 2019, she was a Post-Doctoral Researcher with the Aerospace Information Research Institute, Chinese Academy of Sciences. She is currently an Associate Researcher with the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. Her research interests include machine learning, agricultural remote sensing, disaster remote sensing, and ecological remote sensing.
Prof. Jinsong Chen is an associate director at the Shenzhen
Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
He graduated from the Chinese Academy of Social Sciences in 2004 with a Ph.D.
From 2004 to 2011, he worked at the Chinese University of Hong Kong as a
postdoctoral and professor. Then, he joined the Shenzhen Institute of Advanced
Technology and the Chinese Academy of Sciences. Additionally, he participated
in several innovation projects of the Chinese Academy of Sciences and led the
Hong Kong Scientific Research Fund, the National 863 project, the Academy of
Sciences pilot projects and special environmental protection projects. His
research direction includes spatial and environmental big data processing
methods, Multi-source spatial and environmental data assimilation and
information fusion methods and Regional ecological environment evolution rules
and trend prediction.
