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Talk 1: Significant wave height estimation from spaceborne GNSS-Reflectometry

Speaker: Shuanggen Jin

Affiliation: Henan Polytechnic University

Academic title: Academician

Abstract:

The significant wave height (SWH) is an important component of the marine environment, which has been widely used in the deep ocean process modeling. Traditional in-situ or altimetry can achieve SWH, but have high cost or limited spatial resolution. Nowadays, Global Navigation Satellite System-Reflectometry (GNSS-R) can obtain various information on the reflecting surface, particularly space-borne Cyclone Global Navigation Satellite System (CYGNSS) mission. In this paper, SWH is estimated using the power function relationship between SWH and Delay-Doppler Map Average (DDMA) from CYGNSS data. Then, the SWH estimated by CYGNSS data is validated and evaluated by ERA-Interim data and AVISO data. The results show that the average correlation coefficient of CYGNSS SWH is 0.912 and the average RMSE is 0.363 m when compared to the ERA-Interim SWH data. The RMSE is 0.441 m and the correlation coefficient reaches 0.863 when compared with the AVISO SWH. 

Biography:

Shuanggen Jin is Vice-President at Henan Polytechnic University, China and Professor at the Shanghai Astronomical Observatory, CAS, China. His main research areas include satellite navigation, remote sensing, and space/planetary exploration. He has published over 500 papers in peer-reviewed journals and proceedings, 20 patents/software copyrights and 12 books/monographs with more than 12000 citations and H-index>58. He has received World Class Professor of Ministry of Education and Cultures, Indonesia, Fellow of IAG, Fellow of IUGG, Fellow of African Academy of Sciences, Fellow of Electromagnetics Academy, Member of European Academy of Sciences and Member of Academia Europaea.

 

Important dates

Paper Submission Deadline:
30 September, 2023
Paper Acceptance Notification:
20 October, 2023
Camera-ready Paper Submission:
5 November, 2023
Registration open date:
20 October, 2023
Conference Date:
3-5 December, 2023

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