Global Navigation Satellite System Reflectometry (GNSS-R) is an emerging remote sensing technology, which obtains the characteristics and parameters of the reflecting surface through capturing, processing and analyzing the reflected GNSS signals. GNSS-R technology has advantages of low cost (no need of dedicated transmitter), large coverage (multiple reflection tracks), and high spatial and temporal resolution. This talk will first give a brief introduction to GNSS-R technology. Then the focus will be on describing how to use data collected by airborne and spaceborne GNSS-R receivers to retrieve sea surface wind speed, including data processing, model construction and performance evaluation. The results from processing extensive airborne and spaceborne data demonstrate that it is feasible to measure sea surface wind speed with GNSS-R and the accuracy can be around 1.6m/s when wind speed is up to 25m/s.

Kegen Yu received the Ph.D. degree in electrical engineering from the University of Sydney, Sydney, NSW, Australia, in 2003. He was with Jiangxi Geological and Mineral Bureau, Nanchang, China; Nanchang University, Nanchang, China; the University of Oulu, Oulu, Finland; the CSIRO ICT Center, Sydney, NSW, Australia; Macquarie University, Sydney, NSW, Australia; the University of New South Wales, Sydney, NSW, Australia; and Wuhan University, Wuhan, China. He is currently a Professor with the School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China. He has coauthored the book Ground-Based Wireless Positioning (Wiley and IEEE Press, 2009, a Chinese version of the book is also available) and another book Wireless Positioning: Principles and Practice (Springer, 2018), and has authored the book Theory and Practice of GNSS Reflectometry (Springer, 2021). He has authored or coauthored more than 100 refereed journal papers including more than 50 IEEE journal papers. He edited the book Positioning and Navigation in Complex Environments (IGI Global, 2018) and another book Indoor Positioning and Navigation (Science Press, 2018). His research interests include GNSS reflectometry, ground-based and satellite-based positioning, signal processing and remote sensing.