川西甲基卡锂矿基地典型岩石及矿物反射波谱特征研究

四川甲基卡矿田是中国乃至于世界上锂矿资源最集中的地区之一,目前对甲基卡锂矿床的光谱学认识还很欠缺。本文运用地物波谱仪对甲基卡地区野外采集的典型岩石及矿物开展波谱测试,建立了研究区样品的波谱数据库,总结了黑云母片岩、十字石片岩、十字石堇青石片岩、角岩、二云母花岗岩、含锂辉石伟晶岩、不含锂辉石伟晶岩、石英脉、长石斑晶、锂辉石、云母、绿柱石的波谱特征。研究结果表明:围岩与岩体波谱特征差异较大,围岩反射率一般在0. 2以下,吸收特征不明显,岩体反射率一般在0. 5以下,具有1413 nm、1911 nm、2197 nm三处不同程度的吸收特征;其中含矿伟晶岩、不含矿伟晶岩及花岗岩可以通过1413 nm及2197 nm等处的吸收特征进行区分;锂辉石及绿柱石具有独特的波谱特征,可以直接用于找矿。本文开展的甲基卡型锂矿地面波谱研究,对其高光谱遥感填图及地质找矿具有重要的指导意义。     

辽宁兴城地区岩石光谱测试及特征分析

在辽宁兴城野外实习基地采用ASD光谱仪完成不同岩石样品光谱测试的基础上, 分析了不同类型、不同地质时代的岩浆岩和沉积岩, 及其风化面和新鲜面的光谱曲线特征。兴城野外不同岩浆岩与沉积岩光谱曲线形态相似, 新鲜面和风化面的特征光谱吸收位置相差不大, 但新鲜面的反射率普遍高于风化面的反射率;岩浆岩和沉积岩样品一般在波长为900 nm左右存在铁离子吸收谷;除了在1 400 nm和1 900 nm处有水汽吸收带外, 岩浆岩和沉积岩样品在2 200 nm左右还存在强吸收谷, 而灰岩在2 300 nm左右有比较高的吸收谷, 这也是利用实测光谱进行岩性分类的理论基础。但是, 不同地质年代下的岩石光谱曲线变化并无规律, 更多地与岩石结构、成分和环境因素等相关。这样, 岩石光谱测试及其特征分析可满足研究区岩性识别、矿化蚀变信息提取的需要。     

基于ASTER的雅鲁藏布江缝合带泽当-罗布莎蛇绿岩套分析和组分识别

本文通过对西藏雅鲁藏布江缝合带泽当-罗布莎地区蛇绿岩套的主要岩石组成和蚀变矿物的标准波谱吸收特征分析,比较了标准光谱库的相应岩性光谱吸收特征和ASTER数据波段特征之间的关系,采用连续统去除、比值法和光谱角制图法对ASTER影像数据进行处理及相关岩性和矿物提取。结果表明,蛇绿岩组分岩性中亚铁离子和Fe-OH,Mg-OH的可见-短波红外吸收特征显著,而且有一个宽波长范围的Si-O热红外光谱特征,基于这些光谱特征采用ASTER数据和比值法与光谱角制图法可有效地识别蛇绿岩的主要岩性和相关矿物成分及其空间分布,结果与地质资料基本吻合。     

Imaging spectrometry for geological remote sensing

Without use of imaging spectrometry, imaging of the Earth's surface from aircraft and from spacecraft is hampered by the low spectral resolution and limited number of spectral bands, typically less than 10 bands of 100 to 200 nm width. Imaging spectrometry in remote sensing concerns the acquisition of image data in many narrow (< 40 nm wide) contiguous spectral bands with the ultimate goal of producing detailed spectral reflectance curves for each pixel in the image. Many minerals and rocks have unique spectral signatures with characteristic absorption features that are 20 to 40 nm wide. Imaging spectrometers allow to depict these narrow features and thus map surface mineralogy based on spectral image characterization. This paper gives a review of imaging spectrometry and addresses the following topics: airborne and spaceborne systems available, spectral and geometric data pre-processing, atmospheric correction, techniques for thematic data analysis, and applications in the field of geological remote sensing. In the final section a case study is described where imaging spectrometer data is used for mapping surface mineralogy in a hydrothermal alteration system, thus guiding gold exploration.     

基于主成分分析的反射光谱在岩石学中的应用——以哈密地区为例

本文首先总结并分析了岩矿常见光谱特征的波长位置及其产生原因。然后基于主成分分析技术对哈密42条岩石实验室光谱进行了定量分析。前两个主成分共包含了96．7％的信息量，代表了原始信息。第一主成分反映了岩石总体反射率大小，称为反照率因子；第二主成分反映了光谱曲线斜率变化，称为形状因子。使用这两个主成分可以区分该区主要岩类，达到了数据压缩和分类的目的。第三和第四主成分尽管所占信息很少，但反映了岩石蚀变信息。为了突出蚀变岩石光谱吸收特征，进而又对经过连续统去除后的光谱进行主成分分析，结果发现，在新生成的第三和第四主成分图上，4种矿石被清晰区分开来。     

Reflectance spectroscopy and remote sensing data for finding sulfide-bearing alteration zones and mapping geology in Gilgit-Baltistan,Pakistan

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 μm 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 μm due to the presence of iron (Fe), while jarosite and limonite showed absorption depth at 2.2 μm due to the presence of hydroxyl ions (OH^¯). The clay minerals montmorillonite and illite showed absorption depth at 1.93 and 2.1 μm, respectively. Muscovite showed depth of absorption minima at 1.4 and 1.9 μm in some samples. Calcite showed deep absorption minima at 2.32 μm, while anorthite showed absorption features at 1.4, 1.9, 2.24, and 2.33 μm. Olivine showed a slight depressed absorption feature at 1.07 μm. The copper-bearing phases malachite, chrysocolla, and azurite showed, respectively, a broad absorption feature in the range of 0.6–0.9 μm, a small absorption at 1.4 μm, and a deep absorption at 1.93 μm. 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 μm, 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 μm. 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.     

基于ASTER数据的蛇绿岩组分识别：以德尔尼矿区为例

本文运用高级星载热辐射和反射探测器(ASTER)反射率数据对青海德尔尼蛇绿岩的主要岩石组成和蚀变矿物进行探测。以现有的标准光谱库数据作为参照,采用光谱角制图法来提取感兴趣的岩性和矿物信息,并通过与现有地质图对比,验证结果的精度。实验结果表明,运用ASTER数据和标准的光谱库数据,可较有效地识别蛇绿岩的主要岩性和相关矿物成分,但不同岩性的识别精度不同。     

Identification of Uranyl Minerals Using Oxygen K‐Edge X‐Ray Absorption Spectroscopy

Although most of the world's uranium exists as pitchblende or uraninite, this mineral can be weathered to a great variety of secondary uranium minerals, most containing the uranyl cation. Anthropogenic uranium compounds can also react in the environment, leading to spatial–chemical alterations that could be useful for nuclear forensics analyses. Soft X‐ray absorption spectroscopy (XAS) has the advantages of being non‐destructive, element‐specific and sensitive to electronic and physical structure. The soft X‐ray probe can also be focused to a spot size on the order of tens of nanometres, providing chemical information with high spatial resolution. However, before XAS can be applied at high spatial resolution, it is necessary to find spectroscopic signatures for a variety of uranium compounds in the soft X‐ray spectral region. To that end, we collected the near edge X‐ray absorption fine structure (NEXAFS) spectra of a variety of common uranyl‐bearing minerals, including uranyl carbonates, oxyhydroxides, phosphates and silicates. We find that uranyl compounds can be distinguished by class (carbonate, oxyhydroxide, phosphate or silicate) based on their oxygen K‐edge absorption spectra. This work establishes a database of reference spectra for future spatially resolved analyses. We proceed to show scanning X‐ray transmission microscopy (STXM) data from a schoepite particle in the presence of an unknown contaminant.     

近红外光谱仪测定岩石中蚀变矿物方法研究

基于岩石中蚀变矿物对近红外光谱的吸收原理,确定测量蚀变矿物最佳波长范围,采用数学和谱图学习方法对岩石中蚀变矿物进行定性和定量分析。通过蚀变矿物特征光谱,提取光谱参数,建立蚀变矿物与成矿关系模型。以采自福建紫金山矿区钻孔岩芯测量结果为例,说明近红外蚀变矿物分析法的可靠性,并得出结论。     

Estimation of surface iron oxide abundance with suppression of grain size and topography effects

Mineral forms of iron oxide, such as hematite, goethite and jarosite, are important because they are widely distributed at the Earth’s surface and because they are used as indicators for mineral exploration. Iron oxide abundance in rocks containing these minerals can be estimated from the absorption depth at wavelengths of around 900 nm in a reflectance spectrum, but this depth is also affected by extraneous factors such as grain size and topography. This paper investigated the effect of grain size on reflectance spectra and proposed a method for estimating iron oxide abundance in surface rocks by using remotely sensed data with suppression of the effects of grain size and topography. Reflectance spectra were measured in a laboratory from rock powder samples of different grain sizes containing iron oxide minerals. While the reflectance increased with decreasing grain size, the presence of ferric iron caused the absorption depth to be almost constant at around 900 nm, irrespective of the chemical composition of the sample. In addition, the difference between the reflectance at 550 nm and 760 nm (Slope) was a function of grain size. Iron oxide abundance can be estimated accurately by MCR-900D, which is the maximum absorption depth at the absorption center after the effect of grain size and topography was suppressed by Slope and the continuum-removal method, which takes the ratio between the original spectrum and its continuum, respectively. Correlation of MCR-900D results with datasets of actual spectral and chemical iron oxide laboratory measurements revealed that the mineral forms also need to be considered. MCR-900D results were significantly correlated with rock samples classified as containing different forms of iron oxide minerals (hematite, goethite and jarosite). Finally, MCR-900D was applied to an AVIRIS dataset for the Cuprite site in Nevada, USA. The results represented the enrichment zones of iron oxide within hydrothermally altered areas.     

基于特征谱带的高光谱遥感矿物谱系识别

文中初步提出并建立矿物识别谱系的分层识别技术以及部分离子、矿物的光谱识别规则。矿物光谱包含一系列特征吸收谱带。这些特征谱带在不同的矿物中具有较稳定的波长位置和较稳定的独特波形 ,能够指示离子类矿物、矿物的存在 ,是利用高光谱进行矿物识别的基础。文中分析了部分在自然界广泛存在的一些阴阳离子 (如CO2 -3 ,Fe2 + ,Fe3 + ,Al3 + ,Mn2 + ,Al—OH和Mg—OH等 )的可识别特征光谱 ,总结部分离子类矿物或矿物识别规则 ,并以美国Cuprite地区的AVIRIS数据进行矿物识别试验 ,利用矿物谱系识别技术从离子类矿物到单矿物再到更精细类矿物逐层开展识别 ,取得了较好的效果 ,初步实现利用宏观的手段 (遥感技术 )进行微观 (矿物 )的探测。     

Characterisation of the magnetic iron phases in Clovis Class rocks in Gusev crater from the MER Spirit Mössbauer spectrometer

Mössbauer backscattering spectra of eight Martian rocks, acquired by the MIMOS II spectrometer of Rover Spirit (MER-A) and containing goethite in addition to other iron minerals, have been selected for in-depth numerical analysis. Where feasible, different temperature windows for a given rock were considered. A novel calibration/folding procedure, exclusively based on the fitted positions of the eight prominent absorption lines in the transmission spectra of the reference target and not relying on the error signal of the MIMOS II spectrometer, has been developed. It is demonstrated that this procedure yields reliable and reasonably accurate values for the adjusted Mössbauer parameters of the respective spectra of the rock targets. These spectra are all composed of magnetically split components arising from hematite, magnetite and goethite phases, in addition to a ferrous and a ferric doublet that can be ascribed to the presence of Fe silicates, possibly glasses. It is argued that the Fe³⁺ doublet has no significant contribution from superparamagnetic Fe-oxide particles. The hematite components reflect the coexistence of antiferromagnetic and weakly ferromagnetic spin states. In general the magnetite content in the selected rocks is low. The goethite subspectra are very broad and asymmetric and need to be described by a model-independent distribution of hyperfine fields. The as-such obtained parameter values indicate an average particle size of the order of 10 nm. For all examined rock spectra, the adjusted parameter values for the various Fe oxides are completely in line with those known for terrestrial (natural or synthetic) species.     

碳酸盐岩的反射光谱特征的研究及应用

在室内对新疆塔里木盆地西北缘柯坪地区碳酸盐岩的反射光谱进行了测量。分析结果表明：碳酸盐岩的特征吸收谱带位于２３００～２３５０ｎｍ，随着碳酸盐岩中Ｍｇ２＋含量的增加，其特征吸收谱带的中心波长位置具有向短波长方向移动的特点；同时，随着碳酸盐岩中碳酸盐矿物含量的增加，其特征吸收谱带的深度（Ｄ）也有增大的趋势，并且岩石的平均反射率（Ｒ）也随着增高。根据这些特征可以判定碳酸盐岩的岩石类型及碳酸盐矿物的相对含量     

ETM+和ASTER数据在遥感矿化蚀变信息提取应用中的比较——以安徽铜陵凤凰山矿田为例

在利用遥感技术找矿中,矿化蚀变信息识别与提取起着重要作用。选择具有典型蚀变特征的安徽铜陵凤凰山矿田作为研究区,从分析地物波谱,尤其是岩矿光谱特征出发,根据ETM+和ASTER数据的光谱特征,采用主成分分析（PCA）,设计了相应的粘土矿化蚀变信息提取方案,成功地进行信息提取。对两者的提取结果进行比较后表明,ASTER数据较之ETM数据在粘土类矿化蚀变信息提取中具有更大的优势。     

植被覆盖区高光谱遥感影像上蚀变岩与蚀变矿物信息的提取

在高光谱遥感找矿应用中,从影像上提取的蚀变信息经常包含了很多对找矿无用的信息。为了避免这些无用信息,本研究选取植被覆盖的云南普朗斑岩铜矿区作为研究区,使用该区高光谱遥感数据分别提取蚀变岩和蚀变矿物的信息,分析它们对找矿的有用性。提取蚀变矿物信息使用的是从影像上提取的矿物端元参考光谱,光谱匹配采用的是光谱角方法;提取蚀变岩信息使用的是野外蚀变岩参考光谱,光谱匹配不仅考虑光谱的整体形态,而且考虑吸收谷位置形态。在蚀变岩识别图上,4个典型蚀变岩点的野外验证表明:识别结果与实地地物基本一致。但是,在蚀变矿物信息图中,这4个圈定点无任何信息。这表明:这些点的蚀变岩信息较其表面蚀变矿物信息更丰富,因而能被有效提取出。通过比较蚀变岩、蚀变矿物的信息分布图,发现:一些粘土矿物(比如硬石膏和高岭石)的大量信息分布在沉积岩区,因而可能是假的蚀变信息。这表明:通过蚀变岩光谱获取的蚀变信息比通过蚀变矿物光谱获取的蚀变信息更可靠。在蚀变岩信息提取中,比较吸收谷位置识别前后的结果表明:考虑光谱整体和局部形态比仅考虑整体形态的识别结果具有更高的可靠性。     

遥感岩石学的研究及其进展

结合近几年来的研究实践以及国内外大量研究成果的分析，提出了遥感地质学中的一个重要分支科学－－“遥感岩石学”的概念及定义，介绍了遥感岩石学的三个重要研究内容：（１）岩石，矿物的光谱特征研究；（２）机载遥感数据的岩石信息提取与识别；（３）星载遥感数据的岩石信息提取与识别，并对遥感岩石学的未来发展作了展望。     

敦煌莫高窟围岩吸水特性及其影响因素分析

为了研究敦煌莫高窟典型围岩吸水特性及其关键影响因素,本文利用自主研发的岩石水理作用智能测试系统,对从敦煌莫高窟采集的3种不同岩性的岩石样品进行了无水压条件下的液态水吸附实验。依据吸水实验获得的3种围岩样品吸水随时间动态变化曲线,分析比较了不同种类岩石样品的吸水特性,建立了其吸水过程函数。同时,通过X射线衍射实验、电子显微镜扫描实验和压汞实验,分别获得了岩石样品的矿物成分及含量,微观孔隙结构特征和孔隙率等重要物理性质参数,综合分析讨论了黏土矿物及微观孔隙结构这两大重要因素对莫高窟3种典型岩石样品吸水特性的影响。研究结果表明,莫高窟3种围岩样品吸水动态变化的总体趋势有相似性,均表现为减速吸水过程,并可以用负指数函数进行拟合。3种岩样吸水能力差异显著,按大小排序依次为:黑砂岩>泥岩>粉砂岩。对于此次研究的3种不同岩性的莫高窟围岩样品而言,黏土矿物（主要是伊利石）的含量不是制约其吸水性的主要因素,决定其吸水量大小、吸水速率快慢的主要因素是岩石样品的微观孔隙结构特征尤其是孔隙率的大小。     

基于包络线消除法的岩石光谱对应分析

岩石光谱特征是岩性识别的物理基础。选取常见的10种岩石类型15种岩石样品的光谱数据,对其进行均值、重采样、平滑、水汽吸收波段拟值等预处理,以消除岩石光谱噪声,然后通过包络线消除法,获得了岩石光谱特征参数,发现云母板岩（风化面）吸收特征最为明显;对包络线消除处理后的光谱数据进行对应分析,提取出R型主因子载荷,得到第一主因子轴代表主要的阳离子、阴离子诊断波段和水分子吸收波段,第二主因子轴代表少数阳离子的特征波段,获得与岩石相关的特征波段为385~525 nm、735~1 365 nm、1 435~1 785 nm、1 890~1 952 nm、1 995~2 310 nm,并找出了主要吸收波段的物理含义。通过对应分析二维图像,将岩石光谱分为4类,从第一类到第四类吸收深度逐渐变浅,吸收面积呈递减趋势,吸收宽度逐渐变窄,吸收峰逐渐增多,Fe²⁺和Fe³⁺吸收峰增多,铁化、泥化蚀变现象更明显。用聚类分析法对分类结果进行验证发现,分类结果有较好的对应性。从而为岩石和成像光谱图像数据精细分类提供参考依据,实现了对岩石高光谱海量数据的有效提取,进而为遥感矿产预测和找矿提供依据。     

德兴铜矿矿山污染高光谱遥感直接识别研究

利用高光谱图谱结合特征开展矿山污染直接识别研究.首先详细分析了德兴铜矿矿山污染(废矿、废水以及植被) 地物的光谱特征, 总结出可利用于直接识别和提取这些污染物的特征光谱, 从而利用矿区航天Hyperion高光谱数据并以矿物识别谱系技术为主有效地识别出矿区的污染类型及其分布.对于以黄铁矿等含铁矿物为主的围岩或贫矿矿石的氧化污染利用70 0nm、10 0 0nm以及2 2 0 0nm附近的特征吸收分别识别出含Fe3 + 矿物及其Fe2 + 和Fe3 + 混合矿物, 并进一步根据光谱特征识别出赤铁矿和针铁矿; 根据矿区水体在6 0 0nm附近吸收特征的差异相对区分出酸性水、碱性水和中性水; 根据植被在6 85nm附近的最大吸收深度相对地划分植被污染程度.最后建议建立矿山污染地物光谱数据库.该研究为利用高光谱的技术优势快速且有效地直接识别与提取出污染源的种类、类型并分析其潜在的污染趋势提供了新的思路, 为矿山污染监测、治理规划和复垦提供了新技术和知识支撑.      

Laboratory technique for quantitative thermal emissivity measurements of geological samples

Thermal infrared spectroscopy is a powerful technique for the compositional analysis of geological materials. The spectral feature in the mid-IR region is diagnostic of the mineralogy and spectral signatures of mixtures of minerals that add linearly, and therefore, can be used as an important tool to determine the mineralogy of rocks in the laboratory and remotely for planetary exploration. The greatest challenge in the emission measurement lies in the measurement of the weak thermal photons emitted from geological materials in a laboratory setup, and accurately records the temperature of the rock sample. The present work pertains to the details of a new Thermal Emission Spectrometer (TES) laboratory that has been developed under the ISRO Planetary Science and Exploration (PLANEX) programme, for emission related mineralogical investigations of planetary surfaces. The focus of the paper is on the acquisition and calibration technique for obtaining emissivity, and the deconvolution procedure to obtain the modal abundances of the thermal emission spectra in the range of 6–25 μm using Fourier Transform Infrared (FTIR) spectroscopy. The basic technique is adopted from the work of Ruff et al (1997). This laboratory at the Department of Earth Sciences, IIT-Bombay is currently developing pure end mineral library of mineral particulates (<65 μm), and adding new end members to the existing ASU spectral library. The paper argues the need for considering Lunar Orbiter Thermal Emission Spectrometer (LOTES) for future Indian Moon mission programme (Chandrayan-II) to determine evidences of varied lithologies on the lunar surface.