An improved algorithm for retrieval of aerosol optical properties over the Yellow Sea from Geostationary Ocean Color Imager

Ya-Nan Zhang,Xiao-Shen Zheng

doi:10.1109/igarss.2016.7730061

An improved algorithm for retrieval of aerosol optical properties over the Yellow Sea from Geostationary Ocean Color Imager

Ya-Nan Zhang, Xiao-Shen Zheng

https://doi.org/10.1109/igarss.2016.7730061

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Publication Date: Jul 1, 2016

Citations: 5

Affiliation: Tianjin University of Science and Technology

#Geostationary Ocean Color Imager #Retrieval Of Aerosol Optical Properties + Show 8 more

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Abstract

Aimed at high turbid coastal water of Yellow Sea, an improved algorithm for retrieval of aerosol optical properties from Geostationary Ocean Color Imager (GOCI) is proposed. The algorithm can retrieve aerosol optical depth (AOD) and aerosol types. The algorithm adopt support vector machine (SVM) to separate the interfering signal of phytoplankton pigments, suspended matter and chromophoric dissolved organic matter (CDOM). Radiative transfer model is utilized to simulate the transmitting process. AERONET data and GOCI service product is used to estimate the accuracy of the advanced method. The study shows that this algorithm has better performance compared with GOCI service algorithm for turbid water in Yellow Sea.

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