Copper deposits in the ultramafic rocks of the Semail ophiolite massifs is found to be enormous in the region of northern Oman Mountains, United Arab Emirates. For this study, samples of copper were gathered from 14 different sites in the investigation area and were analyzed in the laboratory using the X-ray diffraction, GER 3700 spectroradiometer, and Inductively Coupled Plasma-Mass Spectrometer. Detection and mapping of copper-bearing mineralized zones were carried out using different image processing approaches of minimum noise fraction, principal component analysis, decorrelation stretch, and band ratio which were applied on Landsat 8 (OLI) data. The spectra of malachite and azurite samples were characterized by broad absorption features in the visible and near infrared region (0.6–1.0 µm). The results obtained from the principal component analysis, minimum noise fraction, band ratio, decorrelation stretch, spectral reflectance analyses, and mineralogical and chemical analyses were found to be similar. Thus, it can be concluded that multispectral Landsat 8 data are useful in the detection iron ore deposits in arid and semi-arid regions.

在阿拉伯联合酋长国阿曼北部地区，塞迈尔蛇绿岩块体的超镁铁质岩石中发现了大量铜矿。在本研究中，从研究区域的14个不同地点收集了铜样品，并在实验室中使用X射线衍射，GER 3700光谱辐射仪和电感耦合等离子体质谱仪对其进行了分析。含铜矿化带的探测和测绘是通过对Landsat 8（OLI）数据应用的最小噪声分数，主成分分析，解相关拉伸和能带比的不同图像处理方法进行的。孔雀石和石蓝石样品的光谱特征是在可见光和近红外区（0.6-1.0 µm）具有广泛的吸收特征。从主成分分析，最小噪声分数，谱带比，去相关拉伸，光谱反射率分析以及矿物学和化学分析获得的结果相似。因此，可以得出结论，多光谱Landsat 8数据可用于检测干旱和半干旱地区的铁矿石矿床。