首页> 中文期刊> 《价值工程》 >基于ASTER数据的矿化蚀变信息提取——以西藏班戈县拉青铜多金属矿为例

基于ASTER数据的矿化蚀变信息提取——以西藏班戈县拉青铜多金属矿为例

         

摘要

This paper studies the Tibetan bange bronze polymetallic deposit ore-forming geological characteristics,puts forward the main mineralization alteration mineral combination,the first category containing Fe3+ mineral,the second category of chlorite + epidote + carbonate mineral assemblage.Principal component analysis (PCA) method is used to detect the Alteration Remote Sensing anomalies of two kinds of alteration minerals based on ASTER data-near infrared and short-wave infrared wavelengths of visible light.Results show that the bronze polymetallic mine area,two types of altered minerals present on the space distribution of consistent and altered the characteristics of high strength,and on this basis,selects the favorable copper polymetallic mineralization zone for the whole study area according to the two types of altered minerals information.%文章通过研究西藏班戈县拉青铜多金属矿床的成矿地质特征,提出了其主要矿化蚀变矿物组合,第一类为含Fe3+矿物,第二类为绿泥石+绿帘石+碳酸盐矿物组合.基于ASTER数据的可见光-近红外和短波红外波段采用主成分分析的方法对两类蚀变矿物进行了蚀变遥感异常信息的提取.结果表明,在拉青铜多金属矿区,两类蚀变矿物在空间上呈现出分布一致且蚀变强度高的特点,并以此为依据,对整个研究区根据两类蚀变矿物信息圈定了铜多金属成矿有利区.

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