Comprehensive Calibration and Data Application of High-orbit Ocean-color Satellite

被引：0
|
作者：
Chen, Zhuoyi [1 ]
Sun, Rongyang [1 ]
Wang, Fuhai [1 ]
Li, Zhupeng [1 ]
Yue, Ronggang [1 ]
Wang, Chenglun [1 ]
机构：
[1] China Academy of Space Technology, Beijing
来源：
Binggong Xuebao/Acta Armamentarii | 2024年 / 45卷
关键词：
calibration; data application; high-orbit; ocean color; satellite;
D O I：
10.12382/bgxb.2024.0673
中图分类号：
学科分类号：
摘要：
High-orbit ocean observation satellites are effective tools for monitoring the short-term changes in marine environments and the sudden disasters near coastlines. This paper focuses on the comprehensive calibration and data application of high-orbit ocean color satellite technology. The current status and development trends of ocean color sensors in orbit are discussed,and the technical challenges,such as atmospheric correction, radiometric calibration, and sensor stability, are presented. To address these challenges, a unified calibration approach integrating ground-based, laboratory-based and on-orbit calibration methods is proposed. This approach ensures the high-precision calibration of sensors under different phases and conditions. The ground-based calibration,utilizing the standard radiometric sources and precise measurement equipment,ensures the initial accuracy of on-orbit sensors. Meanwhile,the on-orbit calibration involves the continuous monitoring and correction to maintain the long-term stability and data consistency of the sensors. The future developing directions of high-orbit ocean color satellite technology are summarized,and the importances of multisource remote sensing data integration,intelligent calibration algorithms and autonomous on-orbit correction techniques are emphasized. The research aims to provide more accurate and reliable data support for ocean observation, promoting the rwidespread application of high-orbit ocean color satellite technology in environmental monitoring, resource management,and scientific research. © 2024 China Ordnance Industry Corporation. All rights reserved.
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页码：139 / 145
页数：6
相关论文
共 20 条
  • [1] QI S B., Development and application status of remote sensing satellite system in south korea, Satellite Application, 3, pp. 52-56, (2015)
  • [2] GONG R., Geostationary environmental service satellite-R (GOES-R) [ J], Satellite Application, 12, (2016)
  • [3] FISHMAN J, IRACI L T, AL-SAADI J, Et al., The united states’ next generation of atmospheric composition and coastal ecosystem measurements: NASA’s geostationary coastal and air pollution events (GEO-CAPE) mission [ J ], Bulletin of American Meteorological Society, 93, 10, pp. 1547-1566, (2012)
  • [4] YU L J, LUI Y H., Research on the development of GEO medium and high-resolution civil optical earth observation satellites [ J], Spacecraft Engineering, 22, 1, pp. 106-112, (2013)
  • [5] RYU J H, HAN H J, CHO S, Et al., Overview of geostationary ocean color imager(GOCI) and GOCI data processing system (GDPS) [J], Ocean Science Journal, 47, 3, pp. 223-233, (2012)
  • [6] CHEN F N, LUO D G, LI S, Et al., The operational inflight radiometric uniform calibration of a directional polarimetric camera [J], Remote Sensing, 13, 19, (2021)
  • [7] ZHU S, LI Z, QIE L, Et al., In-flight relative radiometric calibration of a wide field of view directional polarimetric camera based on the rayleigh scattering over ocean [ J ], Remote Sensing, 14, 5, (2022)
  • [8] CHEN S L., Research on observation technology and system development of hyperspectral water surface optical characteristics, (2023)
  • [9] SHI J, QI G Q, SHENG A D., Estimation of motion parameters by considering the size of surface target [ J], Acta Armamentarii, 34, 4, pp. 494-500, (2013)
  • [10] XIN X R, LIU X R, MIAO S., Monitoring of green tide under cloud based on GOCO-II data, Proceedings of the IGARSS 2022 IEEE International Geoscience and Remote Sensing Symposium, pp. 7962-7965, (2022)
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