基于Aster遥感数据的班怒成矿带矿化蚀变信息提取

研究区位于西藏阿里地区改则县北部,属于班公湖-怒江成矿带,自然环境十分恶劣,地质研究程度较低,区域地质调查、矿产资源调查等工作进展缓慢。从已发现的矿(化)点看,工作区内主要的矿种为砂金、岩金及铜金矿,还分布盐湖及煤矿,具有优越的成矿地质背景和巨大成矿潜力。因此在该地区开展遥感找矿研究是一种有效、便捷、经济的勘查技术手段。在ENVI软件的支持下,基于Aster多光谱影像数据与蚀变矿物组合相关的波谱特征,利用主成分分析与比值分析相结合的方法从Aster数据中提取与金属矿化有关的矿物及矿物组合遥感异常信息,并结合地质矿产资料分析与致矿因素相关的遥感异常,继而圈定找矿靶区,得到了良好的实际应用效果。

Alteration from Aster Remote Sensing Data in Ban Nu Metallogenic Belt,Gaize,Tibet

The study area is located at the north of Gaize county,Ali region,belongs to Ban Nu metallogenic belt.Natural and geographical environment in this area is very poor,and exists low level of geological research,slow progress in geological survey and mineral resource survey.Seen from the mine have been found,the main minerals of study area is placer gold,rock gold and copper and gold mine,but also distributs salt lakes and coal mines,this area boasts favorable mineralization background and great ore mineral potential.Therefore,prospecting in this area via remote sensing is an economical,convenient and effective means.This paper is supported by the ENVI software,according to the spectral characteristics of Aster multi spectral image data and alteration mineral assemblages,and make use of the methods of ratio and principal component analysis to draw alteration information of metal mineralization related to minerals and mineral assemblages from Aster remote sensing data.Geological data are integrated with the results of remote sensing image processing to analyze mining factors to divide prospective districts and delineate prospecting targets.