Intelligent Radiometric Calibration System for Ocean Color Satellite Sensors
Abstract To achieve the integration of multiple ocean color (OC) sensors’ radiometric calibration tasks into a single system, we have developed an intelligent on-orbit radiometric calibration system called the Generalized Radiometric Calibration Entity for Ocean Color (Grace-OC). The system features real-time data downloading capabilities and integrates three calibration methods: onboard calibration, system vicarious calibration and cross calibration, enabling intelligent selection of on-orbit radiometric calibration methods tailored to the calibration sensors. Compared to other calibration systems, we have improved the universality and efficiency of the system by establishing high-spectral aerosols and Rayleigh lookup tables (LUTs) which are verified consistency through a comparative analysis with operational LUTs releasing by National Aeronautics and Space Administration (NASA) in this paper. Building upon this foundation, we have integrated a comprehensive analysis function for calibration coefficients to automatically construct degradation models of the radiometric measurement performance, and to achieve mutual verification between different calibration methods. We applied Grace-OC to HY1C/D and verified the feasibility of the intelligent selection calibration methods and the stability of the calibration system, achieving a calibration accuracy of up to 0.5%. Simultaneously, the precision of degradation models of the radiometric measurement performance is confirmed through Grace-OC, and the on-orbit radiometric calibration task was ultimately completed within 6 minutes for each per scene. Based on the above applications, Grace-OC has demonstrated its universality for various OC sensors, as well as the stability of on-orbit radiometric calibration tasks and the efficiency of operational speed.
Authors
- Lianbo Hu (ORCID: https://orcid.org/0000-0002-7651-6295)
- Shuguo Chen (ORCID: https://orcid.org/0000-0003-2976-4787)
- Junwei Wang (ORCID: https://orcid.org/0000-0002-8549-2600)
- Sicong Li (ORCID: https://orcid.org/0000-0002-0738-5754)
- Shixian Hu
Institutions
- Ocean University of China (CN)
- Hainan Tropical Ocean University (CN)
Publication Details
- Journal
- Journal of Physics Conference Series
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1088/1742-6596/2829/1/012021
- Primary Topic
- Water Quality Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00