Abstract：The extraction of alteration anomalies information of remote sensing in the overburden areas is an important exploratory issue,which is affected by interference factors such as vegetation,rivers,shadows,and quaternary. Based on the spectral characteristics of altered rocks,taking the shallow overburden area of Hamagou forest farm in the Aershan county of Inner Mongolia autonomous region as a study area,a principal component analysis method is used to process Landsat7 ETM + multispectral images. A preliminary research result is obtained,and the spatial distribution characteristics and influencing factors of the alteration anomalies information are analyzed. Further,it is pointed out that the research on vegetation suppression and hill shadow compensation should be strengthened in the next stage.

Keyword：shallow overburden area;alteration anomalies information of remote sensing;principal component analysis;Landsat7 ETM + multispectral image;