• Title/Summary/Keyword: GOCI(Geostaionary Ocean Color Imager)

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Atmospheric and BRDF Correction Method for Geostationary Ocean Color Imagery (GOCI) (정지궤도 해색탑재체(GOCI) 자료를 위한 대기 및 BRDF 보정 연구)

  • Min, Jee-Eun;Ryu, Joo-Hyung;Ahn, Yu-Hwan;Palanisamy, Shanmugam;Deschamps, Pierre-Yves;Lee, Zhong-Ping
    • Korean Journal of Remote Sensing
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    • v.26 no.2
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    • pp.175-188
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    • 2010
  • A new correction method is required for the Geostationary Ocean Color Imager (GOCI), which is the world's first ocean color observing sensor in geostationary orbit. In this paper we introduce a new method of atmospheric and the Bidirectional Reflectance Distribution Function(BRDF) correction for GOCI. The Spectral Shape Matching Method(SSMM) and the Sun Glint Correction Algorithm(SGCA) were developed for atmospheric correction, and BRDF correction was improved using Inherent Optical Property(IOP) data. Each method was applied to the Sea-Viewing Wide Field-of-view Sensor(SeaWiFS) images obtained in the Korean sea area. More accurate estimates of chlorophyll concentrations could be possible in the turbid coastal waters as well as areas severely affected by aerosols.