Paper
8 May 2003 Atmospheric correction of SeaWiFS imagery for turbid waters in Southern China coastal areas
Chuqun Chen, Jun Wei, Ping Shi
Author Affiliations +
Proceedings Volume 4892, Ocean Remote Sensing and Applications; (2003) https://doi.org/10.1117/12.466856
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
The atmospheric-correction of satellite ocean color data is fundamental for applications of the satellite data. The atmospheric-correction of Sea-viewing Wide Field-of-view Sensor (SeaWiFS) data is successful for open ocean waters, but fails for turbid coastal waters, when using the default algorithm of SeaWiFS Data Analyze System (SeaDAS), resulting in an over-correction of atmospheric effects. Based on the basic principle of atmospheric correction, a practical approach was developed for atmospheric correction of SeaWiFS imagery for turbid coastal waters. We took the assumption of spatial homogeneity of band7-band8 ratio of aerosol radiance and of water-leaving radiance over relatively small spatial scales (100-200 km), the two ratios were calculated from the processed results of SeaDAS standard atmospheric correction algorithm. The correction approach could reduce the errors of water-leaving radiance. In addition the water-leaving radiance in turbid water areas where the default SeaDAS algorithms added a mask for atmospheric correction failure could be retrieved. Then the results were compared with that of other atmospheric-correction method for turbid coastal waters.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chuqun Chen, Jun Wei, and Ping Shi "Atmospheric correction of SeaWiFS imagery for turbid waters in Southern China coastal areas", Proc. SPIE 4892, Ocean Remote Sensing and Applications, (8 May 2003); https://doi.org/10.1117/12.466856
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Cited by 5 scholarly publications.
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KEYWORDS
Atmospheric corrections

Atmospheric particles

Satellites

Sensors

Aerosols

Algorithm development

Atmospheric modeling

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