Abstract:

 Observed data from 86 weather stations in Guangdong province were used to provide parameters of a simplify method for atmospheric correction (SMAC) algorithm, and then the SMAC algorithm was employed to conduct atmospheric correction for 250 m resolution data from medium resolution spectral imager (MERSI). In order to validate effects of SMAC algorithm for MERSI data, the reflectance histogram of each band and the normalized difference vegetation index (NDVI) before and after atmospheric correction were compared, and the reflectivity distribution characteristics in each meteorological station were analyzed. The results show that the reflectance interval of each band becomes wider and the reflectivity in the meteorological station is closer to the observation after atmospheric correction. Also, the histograms of NDVI are smoother and the peaks are higher after atmospheric correction; the histograms of NDVI are more similar for the data with time closer. All these results suggest that this atmospheric correction method is reasonable.

Key words: Atmospheric correction, FY-3 satellite, MERSI (medium resolution spectral imager), Vegetable index