The area, western Guangxi—southeastern Yunnan, is highly covered by dense vegetation. Generally it is very difficult to detect Manganese information in the area coved with dense vegetation by using RS method.As iron and manganese are paragenesis deposits, gossan anomaly was used to detect the alteration and mineralization by RS and applied to search the manganese. Manganese oxide is the mineral containing water,which is the hydroxyl compound. The rocks of Mn-ore are mudstone, limestone and so on. The manganese alteration of RS anomaly is explored by Principal component analysis (PCA) method. Gossan anomaly can be enhanced by the fourth component of the PCA result which combined by the bands of TM1, TM4, TM5 and TM7. Hydroxyl anomaly can be enhanced by the fourth component of the PCA result, which combined by the bands of TM1, TM3, TM4 and TM5. If a component with a inversing eigenvaluse matrix with the seventh component, which can be used to enhance the information of mudstone and limestone. Finally, spectral angel mapping (SAM) is used to interprete Mn monoxide based on the RS images. The result is highly consistent to the locations of the confirmed Mn-ore.The outcomes prove that the employed methods in the paper are significant to identify manganese information at highly vegetation covered region.