On-Orbit Intrinsic Characterization and Radiometric Performance of the Primary Sensor Onboard the Chinese New-Generation Ocean Color Observation Satellite
The Chinese new-generation ocean color observation satellite (HY-3A), launched on November 16, 2023, carries the 2nd Chinese Ocean Color and Temperature Scanner (COCTS2) as its primary sensor. COCTS2 offers a swath width of over 3000 km, a spatial resolution of 500 m, and 15 reflective solar bands (RSBs) spanning 360 to 1640 nm. This study reviews COCTS2 intrinsic characterization and radiometric performance during its first year on-orbit and assesses the accuracy of global ocean color products. It demonstrates a high signal-to-noise ratio (SNR) under typical ocean radiance, outperforming specification values by a significant margin of 50%. Meanwhile, the image non-uniformity is better than 1%, and the linear response remains close to 1 within the radiance dynamic range under oceanic ocean color conditions. Notably, COCTS2 is the first Chinese sensor equipped with an onboard calibration system, achieving solar calibration accuracy within 2%. Through solar calibration, we established a radiometric degradation model that maintains stable performance throughout nine months, with radiometric degradation across RSBs below 1%. Subsequently, we derived absolute calibration gain factors using cross calibration approaches, achieving consistency with the solar calibration gain factors. On this basis, we established a relative calibration gain factors by vicarious calibration, and after application, the radiometric accuracy was better than 95%. Ultimately, in validating global ocean color products, we compare COCTS2-derived remote sensing reflectance (Rrs) with Sentinel-3A OLCI and AERONET-OC data, confirming the high quality of the ocean color products. And compared with PACE OCI, although there is a certain deviation in ultraviolet band, it still has a high correlation.
Authors
- Chaofei Ma (ORCID: https://orcid.org/0000-0002-8950-7275)
- H. S. Peng (ORCID: https://orcid.org/0000-0002-8704-537X)
- Xiaomin Ye (ORCID: https://orcid.org/0000-0003-1044-0125)
- Shuguo Chen (ORCID: https://orcid.org/0000-0003-2976-4787)
- Qingjun Song (ORCID: https://orcid.org/0000-0001-7479-4577)
- Junwei Wang (ORCID: https://orcid.org/0000-0002-7671-9332)
- Sicong Li (ORCID: https://orcid.org/0000-0002-0738-5754)
- Shixian Hu
Institutions
- Ministry of Natural Resources (CN)
- National Satellite Ocean Application Service (CN)
- Ocean University of China (CN)
- Hainan Tropical Ocean University (CN)
Publication Details
- Journal
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tgrs.2025.3557805
- Primary Topic
- Water Quality Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China