Acta Oceanologica Sinica

, Volume 32, Issue 5, pp 75–81 | Cite as

FY-3A/MERSI, ocean color algorithm, products and demonstrative applications

  • Ling Sun
  • Maohua Guo
  • Jianhua Zhu
  • Xiuqing Hu
  • Qingjun Song
Article

Abstract

A medium resolution spectral imager (MERSI) on-board the first spacecraft of the second generation of China’s polar-orbit meteorological satellites FY-3A, is a MODIS-like sensor with 20 bands covering visible to thermal infrared spectral region. FY-3A/MERSI is capable of making continuous global observations, and ocean color application is one of its main targets. The objective is to provide information about the ocean color products of FY-3A/MERSI, including sensor calibration, ocean color algorithms, ocean color products validation and applications. Although there is a visible on-board calibration device, it cannot realize the on-board absolute radiometric calibration in the reflective solar bands. A multisite vicarious calibration method is developed, and used for monitoring the in-flight response change and providing post-launch calibration coefficients updating. FY-3A/MERSI ocean color products consist of the water-leaving reflectance retrieved from an atmospheric correction algorithm, a chlorophyll a concentration (CHL1) and a pigment concentration (PIG1) from global empirical models, the chlorophyll a concentration (CHL2), a total suspended mater concentration (TSM) and the absorption coefficient of CDOM and NAP (YS443) from China’s regional empirical models. The atmospheric correction algorithm based on lookup tables and ocean color components concentration estimation models are described. By comparison with in situ data, the FY-3A/MERSI ocean color products have been validated and preliminary results are presented. Some successful ocean color applications such as algae bloom monitoring and coastal suspended sediment variation have demonstrated the usefulness of FY-3A/MERSI ocean color products.

Key words

FY-3A/MERSI ocean color multisite calibration atmospheric correction China’s regional model 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Antoine D, Morel A. 1999. A multiple scattering algorithm for atmospheric correction of remotely sensed ocean color (MERIS instrument): principle and implementation for atmospheres carrying various aerosols including absorbing ones. Int J Remote Sens, 20(9): 1875–1916CrossRefGoogle Scholar
  2. Cox C, Munk W. 1954. Measurements of the roughness of the sea surface from photographs of the Sun’s glitter. J Opt Soc Am, 44(11): 838–850CrossRefGoogle Scholar
  3. Gordon H R. 1997. Atmospheric correction of ocean color imagery in the earth observing system era. J Geophys Res, 102(D14): 17081–17106CrossRefGoogle Scholar
  4. Hu Xiuqing, Liu Jingjing, Sun Ling, et al. 2010. Characterization of CRCS Dunhuang test site and vicarious calibration utilization for Fengyen(FY) series sensors. Can J Remote Sensing, 36(5): 566–582CrossRefGoogle Scholar
  5. Koepke P. 1984. Effective reflectance of oceanic whitecaps. Appl Opt, 23(11): 1816–1824CrossRefGoogle Scholar
  6. O’Reilly J E, Maritorena S, Mitchell B G. 1998. Ocean color chlorophyll algorithms for SeaWiFS. J Geophys Res, 103(C11): 24937–24953CrossRefGoogle Scholar
  7. Sun Ling. 2005. Atmospheric correction and water constituent retrieval for HY-1A CCD [dissertation] (in Chinese). Qingdao: Institute of Oceanology, Chinese Academy of Science, 67–69Google Scholar
  8. Sun Ling, Guo Maohua. 2006. Atmospheric correction for HY-1A CCD in Case 1 waters. In: Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, edited by Qingxi Tong, Wei Gao, Huadong Guo, Proceedings of SPIE Vol. 6200. Bellingham: SPIE, 20–31CrossRefGoogle Scholar
  9. Sun Ling, Guo Maohua, Li Sanmei, et al. 2010. Enteromorpha Prolifera monitoring with FY-3A MERSI around the sea area of Qingdao. Remote Sensing Information (in Chinese), 1: 64–68Google Scholar
  10. Sun Ling, Guo Maohua, Xu Na, et al. 2012. On-orbit response variation analysis of FY-3 MERSI reflective solar bands based on Dunhuang site calibration. Spectroscopy and Spectral Analysis (in Chinese), 32(7): 1869–1877Google Scholar
  11. Sun Ling, Hu Xiuqing, Guo Maohua, et al. 2012. Multisite calibration tracking for FY-3A MERSI solar bands. IEEE Trans Geosci Remote Sensing, 50(12): 10.1109/TGRS.2012.2215613Google Scholar
  12. Sun Ling, Zhang Jie. 2007. Analysis of influence of gaseous absorption on “HY-1A” CCD data: simulation and correction for Rayleigh scattering. Acta Oceanologica Sinica (in Chinese), 29(3): 137–145Google Scholar
  13. Sun Ling, Zhang Jie, Guo Maohua. 2006. Rayleigh lookup tables for HY-1A CCD data processing. J Remote Sens (in Chinese), 10(3): 306–311Google Scholar
  14. Tang Junwu, Wang Xiaomei, Song Qingjun, et al. 2004. The statistic inversion algorithms of water constituents for the Huanghai Sea and the East China Sea. Acta Oceanologica Sinica, 23(4): 617–626Google Scholar

Copyright information

© The Chinese Society of Oceanography and Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ling Sun
    • 1
    • 2
  • Maohua Guo
    • 3
  • Jianhua Zhu
    • 4
  • Xiuqing Hu
    • 1
    • 2
  • Qingjun Song
    • 3
  1. 1.Key Laboratory of Radiometric Calibration and Validation for Environmental SatellitesChina Meteorological Administration (LRCVES/CMA)BeijingChina
  2. 2.National Satellite Meteorological CentreChina Meteorological AdministrationBeijingChina
  3. 3.National Satellite Ocean Application ServiceState Oceanic AdministrationBeijingChina
  4. 4.National Ocean Technology CentreState Oceanic AdministrationTianjinChina

Personalised recommendations