GF-1 PMS data have an important role in land cover detection and quantitative information extraction because of its high spatial resolution and short revisit period. Land surface reflectance calculated by using atmospheric correction is a key step in the application of GF-1 PMS data in land surface parameter detection. However

atmospheric correction is relatively limited because of the lack of a shortwave infrared near 2.1μm

which is necessary for Aerosol Optical Depth（AOD） retrieval that requires correction. This study aims at developing a method to retrieve the AOD and obtain high-precision land surface reflectance from atmospheric correction.A new algorithm for AOD retrieval from GF-1 PMS data was developed by introducing a prior surface reflectance data set

and the retrieved AOD was applied in atmospheric correction. In this method

Moderate-Resolution Imaging Spectro-radiometer surface reflectance outputs（MOD09） were used to obtain the land parameters required in AOD retrieval with Dense Dark Vegetation（DDV） method

with which the AOD was obtained from GF-1 PMS data. The land parameter obtained from the surface reflectance data set was the Normalized Difference Vegetation Index（NDVI）

which was used to determine the pixel distribution of DDV. GF-1 PMS data were processed to match the selected MOD09 data in spatial resolution. The percentage matching strategy of regional NDVI distribution was adopted to reduce the effect of registration errors produced from pixel-by-pixel matching of the two types of data.Aerosol Robotic Network ground measurements AOD in the Beijing and Taihu stations have been used to evaluate the accuracy of the derived AOD from GF-1 PMS. Results show that AOD retrieval with this method can obtain a high precision. The accuracy of land surface reflectance obtained from atmospheric correction of GF-1 PMS has been estimated by using the surface reflectance of typical types measured in the Beijing and Dunhuang areas. The uncertainty of land surface reflectance for different land covers is less than 0.015.This work has improved the application level of GF-1 satellite

particularly its quantitative application

by developing a method to obtain the AOD and land surface reflectance with high precision and provide an example for the processing of the same type of satellite data.The method can also be used to achieve AOD inversion and atmospheric correction of other terrestrial observation satellite data.