Detecting Clay Minerals in Hydrothermal Alteration Areas with Integration of ASTER Image and Spectral Data in Kösedag-Zara (Sivas), Turkey
Detecting Clay Minerals in Hydrothermal Alteration Areas with Integration of ASTER Image and Spectral Data in Kösedag-Zara (Sivas), Turkey
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DOI：
10.1007/s12594-018-0882-1
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发表时间：
2018-05
影响因子：
1.3
通讯作者：
Oktay Canbaz;Önder Gürsoy;A. Gökce
中科院分区：
文献类型：
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作者：
Oktay Canbaz;Önder Gürsoy;A. Gökce
遥感技术及其地面组成部分在矿物勘探和绘制热液蚀变区图方面比传统的地质调查更有用，有助于在短时间内调查更大的地区。Kösedag（Zara）地区的侵入岩和火山岩，即Kösedag正长岩和卡拉塔斯火山岩，显示出泥质蚀变带。选择了两个不同的测试区域并取样进行矿物学研究。XRD-CF研究表明，A区和B区的粘土矿物主要为高岭石和伊利石。在350-2500 nm波长范围内，用自发光接触式透镜对粘土样品的不同表面进行了5次分光辐射计测量。作为端元的光谱辐射计测量值被重新采样到ASTER短波红外（SWIR）带宽。采用条带比、主成分和去相关拉伸分析等方法对粘土矿物的分布进行了可视化分析。在光谱分类方法中，采用匹配滤波（MF）对卫星图像和光谱辐射计测量数据进行融合。结果表明，利用ASTER图像的波段比、主成分、去相关拉伸分析、MF结果和地质图的联合解译，可以有效地对ASTER图像上与热液作用有关的粘土蚀变带进行识别、分类和填图，对找矿靶区的识别具有重要意义。
Remote sensing technology and its terrestrial components are more useful than classical geological investigation in mineral exploration and mapping the hydrothermal alteration areas and help to investigate larger areas in short time. Intrusive and volcanic rocks, namely Kösedag syenite and Karatas volcanics in Kösedag (Zara) area shows argillic alteration zones. Two different test area were chosen and sampled for mineralogical studies. XRD-CF investigations showed that kaolinite and illite are the dominant clay minerals in test areas of A and B respectively. The spectroradiometer measurements were carried out 5 times on different surfaces of clayey samples with self-illuminated contact-probe lens within the wavelength range of 350-2500 nm. The spectroradiometer measurements used as endmember were resampled to ASTER short wave infrared (SWIR) bandwidths. Band ratio, principal component and decorrelation stretching analysis were performed to visualize the distribution of clay minerals. In spectral classification method, matched filtering (MF) was used for integrating the satellite image and spectroradiometer measurement data. It was concluded that co-interpretations of the band ratio, principal component, decorrelation stretching analysis, MF results and geological map are very useful in determining, classifying and mapping of the argillic alteration zones related to hydrothermal processes on ASTER image and they seem to be very useful to identify the target areas for mineral exploration.