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MERIS is the sensor of ENVISAT⁃1 satellite in orbit nearly 10 years, which was launched in 2002. The band setting and radiation sensitivity of MERIS could well be applied to chlorophyll⁃a concentration inference, but the atmospheric correction in Case II water is still a key problem. Taking the Lake Poyang, the biggest freshwater lake in China as a case, the results of ENVI⁃ SAT⁃1 satellite MERIS images using FLAASH, 6S, BEAM and QUAC atmospheric correction algorithms in 2005 and 2011 with simultaneous in⁃situ spectral data was evaluated. The band combination factor of 12 chlorophyll⁃a retrieval models were also as⁃ sessed. Results show that: (1) the order of atmospheric correction accuracy from high to low are FLAASH, 6S, BEAM, QUAC, with the mean relative error of 31.13% , 31.88% , 69.48% and 42.64% , respectively; and the determination coefficients (R2) of 0.60, 0.57, 0.38 and 0.24, respectively. (2) Among the band⁃combined chlorophyll⁃a retrieval models, FLAASH is the best one, followed by 6S, BEAM and QUAC. As for FLAASH algorithm, the three bands ((Rrs(510) / [Rrs(443) / Rrs(560)]) model is

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Evaluation on the atmospheric correction methods for water color remote sensing by using MERIS image:A case study on chlorophyll-a concentration of Lake Poyang