In this study, the Spectral Angle Mapper method was used to extract such kinds of desertification

information as flow sand, semi-fixed sand, fixed sand and sandy plantation, and the Mu Us sandy land was chosen as

a typical study area. CBERS-2, Landsat-5 TM, SPOT-5, TM and SPOT-5 fusion images were obtained as the source of

data to study and compare the extraction precision from different sensors. The results show that the extraction

precisions from different sensors all reach 80%. The fusion image has the highest extraction precision, the SPOT-5

image possesses the second place, and the CBERS-2 and TM images have different advantages in extracting different

sorts of desertification information, but the precision of CBERS-2 is on the whole higher than that of TM. It is

concluded that there exists a positive relationship between the extraction results and the space resolution of

image, i.e., the higher the space resolution, the higher the extraction precision.