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Geoscience ›› 2012, Vol. 26 ›› Issue (3): 489-497.

• Deposits and Structure Geoglogy • Previous Articles     Next Articles

Remote Sensing Prospecting Model and Orientation of CuFePolymetallic Metallogenic Belt in Nixiong, Tibet

 WANG  Le-1,2,3, HE  Zheng-Wei-1,3, LIU  Ting-Ting-1,3, NI  Zhong-Yun-1,3, GAO  Hui-1,3, CA  Ke-Ke-1,3, ZHANG  Chuan-Gong-1,3, TUN  Hua-4   

  1. 1  College of Geosciences, Chengdu University of Technology, Chengdu, Sichuan610059, China;2 East China Sea Enviroment Monitoring Center, State Oceanic Administration, Shanghai200137,China;3 State Key Laboratory of Geohazard Prevention & Geoenvironment Protection,Chengdu, Sichuan610059, China;4 Tibet Institute of Geological Survey, Lhasa, Tibet850000, China)
  • Received:2011-08-25 Revised:2012-01-04 Online:2012-06-07 Published:2012-06-14

Abstract:

The Cu-Fe polymetallic metallogenic belt in Nixiong of Tibet, which is an important part of Gangdise Cu-Fe polymetallic metallogenic belt, dispalys a good prospecting future, but the bad ecological environment makes great trouble for conventional geological prospecting in this area. Based on the metallogenic regularity of typical deposits, this paper applied five features of remote sensing technique method for mineral prospecting and deinterfered anomalous principal component thresholding technique to obtain geological information by ETM+ data, and discussed remote sensing prospecting models suitable for Nixiong metallogenic belt. Through the theory of mathematical statistics, theory of geological anomaly and GIS technique, this study quantitativly analyzed the data from geophysical, remote sensing and delineated prospecting areas. The results reveal that it is efficient and accurate for minieral prospecting by means of remote sensing combined with basic geological, geophysical and geochemical information, and the method of multi features remote sensing minieral prospecting is reliability.

Key words: five features of remote sensing for mineralprospecting, remote sensing alteration anomaly, remote sensing prospecting model, prospecting perspective, Nixiong, Tibet