The suspended particulate matter and chlorophyll-a, two important parameters of lake water quality, are often used to measure lake eutrophication extent. This paper introduced the research progress of estimating the concentration of suspended particulate matter and chlorophyll-a in lakes based on GOCI images, analyzed the suitability of several atmospheric correction methods for GOCI data, and found that the atmospheric correction based on 6S model had the best effect. Several inversion models of GOCI for chlorophyll a and suspended particulate matter were compared. The results showed that the inversion based on empirical method was simple and easy to implement, but it was lack of physical basis; the inversion based on the analysis method had clear mechanism , but was difficult to realize; the inversion based
on semi-analysis method was to do the statistics for the spectral features of water quality parameters, to establish a quantitative relationship between water quality parameters and band combination of remote sensing data values, and then estimate the content of water quality parameters. This method was easy to realize and had certain physical meanings. Finally, the status quo was summarized and some own opinions about the development of the water indicators retrievals from GOCI data were put forward.