First In-Orbit Validation of Interferometric GNSS-R Altimetry: Mission Overview and Initial Results
Sea surface height (SSH) serves as a fundamental geophysical parameter in oceanographic research. In 2023, China successfully launched the world’s first spaceborne interferometric GNSS-R (iGNSS-R) altimeter, which features dual-frequency multi-beam scanning, interferometric processing, and compatibility with three major satellite navigation systems: the BeiDou Navigation Satellite System (BDS), the Global Positioning System (GPS), and the Galileo Satellite Navigation System (GAL). This launch marked the first in-orbit validation of the iGNSS-R altimetry technology. This study provides a detailed overview of the iGNSS-R payload design and analyzes its dual-frequency delay mapping (DM) measurements. We developed a refined DM waveform-matching algorithm that precisely extracts the propagation delays between reflected and direct GNSS signals, enabling the retrieval of global sea surface height (SSH) through the interferometric altimetry model. For validation, we employed an inter-satellite crossover approach using Jason-3 and Sentinel-6 radar altimetry as references, achieving an unprecedented SSH accuracy of 17.2 cm at a 40 km resolution. This represents a breakthrough improvement over previous GNSS-R altimetry efforts. The successful demonstration of iGNSS-R technology opens up new possibilities for cost-effective, wide-swath sea level monitoring. It showcases the potential of GNSS-R technology to complement existing ocean observation systems and enhance our understanding of global sea surface dynamics.
Authors
- Bin Guan (ORCID: https://orcid.org/0000-0002-8428-5984)
- Weihua Bai (ORCID: https://orcid.org/0000-0002-7002-787X)
- Feixiong Huang (ORCID: https://orcid.org/0000-0002-6888-280X)
- Lichang Duan (ORCID: https://orcid.org/0000-0002-1101-7057)
- Lingyong Huang
- Yuerong Cai
- Junming Xia (ORCID: https://orcid.org/0000-0002-3876-1708)
- Zhiyong Huang (ORCID: https://orcid.org/0000-0002-0482-2891)
- Cong Yin (ORCID: https://orcid.org/0000-0002-0238-4568)
- Rui Liu (ORCID: https://orcid.org/0000-0003-0192-7556)
- Dongwei Wang (ORCID: https://orcid.org/0000-0002-2797-1312)
- Qifei Du
- Yixuan Sun (ORCID: https://orcid.org/0000-0002-8290-5748)
- Shizhong Li
- Yueqiang Sun
- Zhenhe Zhai
- Xianyi Wang (ORCID: https://orcid.org/0000-0002-8369-0267)
Institutions
- Sun Yat-sen University (CN)
- Chinese Academy of Sciences (CN)
- National Space Science Center (CN)
- Space Engineering University (CN)
- Xi'an Railway Survey and Design Institute (CN)
- State Key Laboratory of Chemical Engineering (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-05-23
- DOI
- https://doi.org/10.3390/rs17111820
- Primary Topic
- Soil Moisture and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- Youth Innovation Promotion Association of the Chinese Academy of Sciences
- State Key Laboratory of Geo-Information Engineering
- Youth Innovation Promotion Association