[Objective] Taking the typical sandy land in the northern part of Zhenglan Banner of Inner Mongolia Region as an example, the best image fusion method in the sandy area by using the domestic high-resolution satellite(GF-2) image was studied in order to provide technical support for the study of the image fusion method in the sandy area.[Methods] 1 m Pan spectral image and 4 m multispectral image of GF-2 were fused by HSV(Hue, Saturation, Value), Brovey, Gram-Schmidt and PC(principal components); And the four statistical methods, including average gradient, joint quantity, relative deviation and standard deviation were selected to evaluate and analyze the effect of fusion.[Results] The above four fusion methods could significantly improve the four fold spatial information discrimination of the multi-spectral image in the study area, preserve the original multi-spectral information of the image, and enhance the resolution ability of the image information. Among them, Brovey fusion method had the smallest relative deviation, PC had the least obvious fusion effect, while HSV fusion method had the largest joint quantity and average gradient, and it had the best image fusion effect.[Conclusion] HSV fusion was the best method of image fusion in sandy area. It could provide to clear spatial and spectral image data for visual interpretation of sandy areas.