A Medium-Resolution Imaging Spectrometer （ MERIS） sensor

with reasonable ocean color bands and a high spatial resolution of 300 m

has considerable potential with respect to the monitoring of inland waters. In the quantitative retrieval of water environmental parameters by using a remote sensing image

accurate atmospheric correction is very significant. In the present study

oxygen and water vapor absorption bands are used for improving the traditional black pixel assumption based on the near-infrared bands. The method of calculating aerosol parameters through MERIS Level 2p data is developed; this method is assessed using MERIS Level 1p data recorded on Nov. 11

2007; Nov. 20

2008; and April 25

2009. Meanwhile

the in situ measured data are used for a comparison with the modeled values. The obtained results show that the proposed method is efficacious with RMSP of less than 25% . Another important work is also carried out

that is

a comparison of the proposed method with other algorithms such as a case Ⅱ atmospheric correction algorithm embedded in a MERIS （ Beam） processor

aerosol-thickness-aided 6S

and modified black pixel algorithm. The results indicate that the proposed algorithm has certain applicability considering

because it is independent of the synchronous measured aerosol data.