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2003•Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIERequires access

Atmospheric correction algorithm of SeaWiFS data in China Sea

Zhihua Mao, Haiqing Huang, Qiankun Zhu, Delu Pan

Open publisher page 4 citations

Abstract

SeaWiFS Data Analysis System (SeaDAS) provided by US NASA often fails on the atmospheric correction procedure in processing SeaWiFS data of the turbid coastal areas, case 2 waters, in China Sea. To overcome this problem, a new atmospheric correction algorithm has been developed in this study. In this algorithm, the radiance received by the satellite is decomposed into: Rayleigh scattering radiance, aerosol scattering radiance, sun glint radiance and water-leaving radiance. The values of radiance computed by this algorithm are compared with those computed by SeaDAS software as well as with in situ data. The results show that this algorithm is particularly effective and accurate for processing SeaWiFS data in China Sea.

About this research paper

What this paper is about

SeaWiFS Data Analysis System (SeaDAS) provided by US NASA often fails on the atmospheric correction procedure in processing SeaWiFS data of the turbid coastal areas, case 2 waters, in China Sea. To overcome this problem, a new atmospheric correction algorithm has been developed in this study. In this algorithm, the radiance received by the satellite is decomposed into: Rayleigh scattering radiance, aerosol scattering radiance, sun glint radiance and water-leaving radiance. The values of radiance computed by this algorithm are compared with those computed by SeaDAS software as well as with in situ data. The results show that this algorithm is particularly effective and accurate for processing SeaWiFS data in China Sea.

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Available abstract

SeaWiFS Data Analysis System (SeaDAS) provided by US NASA often fails on the atmospheric correction procedure in processing SeaWiFS data of the turbid coastal areas, case 2 waters, in China Sea. To overcome this problem, a new atmospheric correction algorithm has been developed in this study. In this algorithm, the radiance received by the satellite is decomposed into: Rayleigh scattering radiance, aerosol scattering radiance, sun glint radiance and water-leaving radiance. The values of radiance computed by this algorithm are compared with those computed by SeaDAS software as well as with in situ data. The results show that this algorithm is particularly effective and accurate for processing SeaWiFS data in China Sea.

Key concepts: SeaWiFS, Radiance, Atmospheric correction, Remote sensing, Ocean color, Environmental science, Satellite, Atmospheric optics

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