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首页> 外文期刊>Earth Science Informatics >Reflectance spectroscopy and remote sensing data for finding sulfide-bearing alteration zones and mapping geology in Gilgit-Baltistan, Pakistan
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Reflectance spectroscopy and remote sensing data for finding sulfide-bearing alteration zones and mapping geology in Gilgit-Baltistan, Pakistan

机译:巴基斯坦吉尔吉特-巴尔的斯坦的反射光谱法和遥感数据,用于发现含硫化物的蚀变带和测绘地质

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Gilgit-Baltistan region is covering the northern most part of Pakistan where the rocks of the Kohistan-Ladakh island arc and Karakoram plate are exposed. The area has greater potential for precious and base metals deposits which are needed to be explored through spectroscopy and remote sensing techniques. Minerals and rocks can nowadays be identified through the measurement of their absorption and reflectance features by spectroscopic analysis. Spectral reflectance analysis is also very important in selecting the appropriate spectral bands for remote-sensing data analysis of unknown or inaccessible areas. In this study, reflectance spectra in the spectral range of 0.35-2.5 mu m of different types of unaltered and altered rocks found in the Machulu and Astor areas of northern Pakistan were obtained using an ASD spectroradiometer. The fresh rock samples showed low spectral reflectance as compared to the altered rock samples. The minerals jarosite, goethite, and hematite showed depth of absorption minima in the range of 0.4-1.15 mu m due to the presence of iron (Fe), while jarosite and limonite showed absorption depth at 2.2 mu m due to the presence of hydroxyl ions (OH-). The clay minerals montmorillonite and illite showed absorption depth at 1.93 and 2.1 mu m, respectively. Muscovite showed depth of absorption minima at 1.4 and 1.9 mu m in some samples. Calcite showed deep absorption minima at 2.32 mu m, while anorthite showed absorption features at 1.4, 1.9, 2.24, and 2.33 mu m. Olivine showed a slight depressed absorption feature at 1.07 mu m. The copper-bearing phases malachite, chrysocolla, and azurite showed, respectively, a broad absorption feature in the range of 0.6-0.9 mu m, a small absorption at 1.4 mu m, and a deep absorption at 1.93 mu m. The unmineralized samples exhibited high reflectance in the wavelength ranges of 0.6-0.8, 1.6-1.9, 2.0-2.3, 2.1-2.25, and 2.4-2.5 mu m, respectively, while the mineralized samples showed reflectance bands in the wavelength ranges of 0.4-0.6, 1.3-1.8, and 2.1-2.2 mu m. On this basis, the band ratio combinations 7/5-4/3-6/3 and 7/5-6/3-4/3 of Landsat 8 and 4/7-4/3-2/1 for ASTER data were found to be very effective in the lithological differentiation of major rock units.
机译:吉尔吉特-巴尔的斯坦地区覆盖了巴基斯坦的最北部,那里的科伊斯坦-拉达克岛弧线和喀喇昆仑板块的岩石暴露在外。该地区具有更大的潜在贵金属和贱金属沉积物,需要通过光谱学和遥感技术进行勘探。如今,可以通过光谱分析测量矿物和岩石的吸收和反射特征来鉴定它们。光谱反射率分析在选择合适的光谱带以进行未知或不可访问区域的遥感数据分析时也非常重要。在这项研究中,使用ASD分光辐射计获得了在巴基斯坦北部Machulu和Astor地区发现的不同类型的未改变和蚀变岩石的0.35-2.5μm光谱范围内的反射光谱。与改变后的岩石样品相比,新鲜岩石样品显示出较低的光谱反射率。黄铁矿,针铁矿和赤铁矿矿物由于铁(Fe)的存在而具有的最小吸收深度在0.4-1.15μm范围内,而黄铁矿和褐铁矿由于存在氢氧根离子而在2.2μm处具有最大吸收深度。 (哦-)。粘土矿物蒙脱石和伊利石的吸收深度分别为1.93和2.1微米。在某些样品中,白云母的最小吸收深度为1.4和1.9μm。方解石在2.32μm处显示出极小的吸收最小值,而钙长石在1.4、1.9、2.24和2.33μm处显示出吸收特征。橄榄石在1.07μm处显示出轻微的吸收特征。含铜相的孔雀石,金绿宝石和蓝铜矿分别显示出在0.6-0.9μm范围内的宽吸收特征,在1.4μm处的小吸收和在1.93μm处的深吸收。未矿化的样品分别在0.6-0.8、1.6-1.9、2.0-2.3、2.1-2.25和2.4-2.5μm的波长范围内显示出高反射率,而矿化的样品则在0.4-0.8μm的波长范围内显示出反射率带。 0.6、1.3-1.8和2.1-2.2微米。在此基础上,ASTER数据的Landsat 8和7 / 4-4 / 3-2 / 1的带比组合7 / 5-4 / 3-6 / 3和7 / 5-6 / 3-4 / 3为被发现对主要岩石单元的岩性区分非常有效。

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