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Geoscience ›› 2008, Vol. 22 ›› Issue (2): 293-298.

• Engineering Geology and Environmental Geology • Previous Articles     Next Articles

Study on Identification of Altered Wall-rock in Areas of DifferentVegetation Coverages Based on Remote Sensing

SHEN Li-xia1,LIU Li-ping2,SU Xin-xu2,ZHU Yan1,ZHAO Fang1   

  1. 1Department of Land Science,China University of Geosciences,Beijing100083,China;
    2Shenhua(Beijing)Remote Sensing & Geo-engineering Co.Ltd.,Beijing100085,China
  • Received:2008-01-04 Revised:2008-03-11 Online:2008-02-20 Published:2008-02-20

Abstract:

Compared with other geological information, alteration is usually weak information, and because of the interference of the vegetation and coverage, the extraction of the alteration information by remote sensing is very difficult. In order to know how to get detail information about alteration in areas of different vegetation coverages through remote sensing, this paper chooses three areas to extract the alteration information, which are the exposed base rock area in the desert of east Inner Mongolia (Wengen District), mid-coverage plain area in the middle-north Inner Mongolia (Dalaimiao District),and high coverage forest and plain area in the northeast Inner Mongolia (Pogelu Mountain Area). Based on the study of the method for extraction of alteration anomalies from the TM data, we can conclude that (1) in the exposed base rock area, band ratio process and principal component analysis are better in extraction of the alteration information; (2) in the mid-vegetation plain area, it is better to firstly pre-process by masking, and then use principal component analysis; (3) and in the high vegetation coverage forest and plain area, the alteration information can be partly extracted by the methods of de-vegetation, masking and ratio-principal component. This paper made some contributions for the alteration information extraction in areas of different vegetation coverages by remote sensing techniques.

Key words: remote sensing, alteration information extraction, vegetation coverage, band ratio process, principal component analysis

CLC Number: