IEEE OES-GRSS-APS Invited Talk 2 (14 July 2026)
IEEE OES-GRSS-APS Invited Technical Talk 2
Speaker: Dr. Kegen Yu
Title:Monitoring Ocean States with Spaceborne GNSS Reflectometry
Abstract: Global Satellite Navigation System Reflectometry (GNSS-R) is an emerging remote sensing technology that is increasingly widely used in Earth observation, environmental parameter retrieval, and monitoring of marine and terrestrial disasters. This talk primarily discusses the use of spaceborne GNSS-R technology for monitoring ocean conditions, selecting three ocean parameters—sea surface wind speed and direction, and sea surface wave height—as retrieval targets. It focuses on studying how to construct ocean parameter retrieval models using machine learning algorithms under the condition of sufficient observational data samples. Model training primarily utilizes GNSS-R observation data from China's Fengyun-3E and the U.S. CYGNSS satellites, along with several ocean parameter product datasets as reference data. Through extensive experimental data processing, the model's performance was validated, demonstrating that spaceborne GNSS-R technology can be applied to monitor ocean conditions and serve as an effective supplement to existing ocean monitoring techniques.
Time: 3pm-4pm NST, 14 July, 2026
Location: CSF-1203, Memorial University
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Kegen Yu
Monitoring Ocean States with Spaceborne GNSS Reflectometry
Abstract: Global Satellite Navigation System Reflectometry (GNSS-R) is an emerging remote sensing technology that is increasingly widely used in Earth observation, environmental parameter retrieval, and monitoring of marine and terrestrial disasters. This talk primarily discusses the use of spaceborne GNSS-R technology for monitoring ocean conditions, selecting three ocean parameters—sea surface wind speed and direction, and sea surface wave height—as retrieval targets. It focuses on studying how to construct ocean parameter retrieval models using machine learning algorithms under the condition of sufficient observational data samples. Model training primarily utilizes GNSS-R observation data from China's Fengyun-3E and the U.S. CYGNSS satellites, along with several ocean parameter product datasets as reference data. Through extensive experimental data processing, the model's performance was validated, demonstrating that spaceborne GNSS-R technology can be applied to monitor ocean conditions and serve as an effective supplement to existing ocean monitoring techniques.
Biography:
Dr. Kegen Yu is currently Distinguished Professor in the School of Environment Science and Spatial Informatics at China University of Mining and Technology (CUMT), Xuzhou, China. He received the bachelor's degree from Jilin University in 1983; master’s degree from Australian National University in 1999; and Ph.D. degree from the University of Sydney in 2003. Prof. Yu has worked for universities and research organizations in Australia, China, and Finland, including UNSW, CSIRO, Wuhan University, and Oulu University. He participated in several research and development projects, as Task Leader or Principal Investigator, including projects funded by National Key Research and Development Program of China, NSFC, European Commission, Australian government, and industry such as Boeing. His research focuses on the fields of positioning, navigation, and remote sensing. Prof. Yu was awarded Hubei Provincial “One Hundred Talents Program” and received the honor of Distinguished Expert of Hubei Province in 2015. He has co-authored and edited 9 English books published/to be published by Wiley and IEEE Press, Springer Nature, etc. He also coauthored more than 150 SCI journal papers. He was ranked in the world's top 2% most-cited scientists list for career-long contributions (2024,2025) and single-year impact (2023-2025) by Stanford University and Elsevier. He was honored with Vebleo Fellow in 2026.
Address:China University of Mining and Technology , , Xuzhou, Jiangsu, China