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Gayantha R.L. Kodikara Tsehaie WoldaiFrank J.A. van Ruitenbeek Zack KuriaFreek van der Meer Keith D. ShepherdG.J. van Hummel 《International Journal of Applied Earth Observation and Geoinformation》2012,14(1):22-32
Pleistocene to present evaporitic lacustrine sediments in Lake Magadi, East African Rift Valley, Kenya were studied and mapped using spectral remote sensing methods. This approach incorporated surface mineral mapping using space-borne hyperspectral Hyperion imagery together with laboratory analysis, including visible, near-infrared diffuse reflectance spectroscopy (VNIR) measurements and X-ray diffraction for selected rock and soil samples of the study area. The spectral signatures of Magadiite and Kenyaite, which have not been previously reported, were established and the spectral signatures of trona, chert series, volcanic tuff and the High Magadi bed were also analyzed.Image processing techniques, MNF (Minimum Noise Fraction) and MTMF (Mixture Tuned Matched Filtering) using a stratified approach (image analysis with and without the lake area), were used to enhance the mapping of evaporates. High Magadi beds, chert series and volcanic tuff were identified from the Hyperion image with an overall mapping accuracy of 84.3%. Even though, the spatial distribution of evaporites and sediments in Lake Magadi area change in response to climate variations, the mineralogy of this area has not been mapped recently. The results of this study shows the usefulness of the hypersspectral remote sensing to map the surface geology of this kind of environment and to locate promising sites for industrial open-pit trona mining in a qualitative and quantitative manner. 相似文献
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文章基于ASTER和Landsat-8OLI两种多光谱遥感数据,采用高光谱遥感技术混合调谐滤波(MTMF)、多光谱遥感技术相对吸收深度(RBD)、波段比值(BR)等方法提取了西藏多龙矿集区地堡那木岗斑岩型铜金矿床地表的蚀变矿物组合。其结果表明,基于ASTER数据的MTMF技术可将Al—OH矿物划分为白云母+高岭石/蒙脱石和地开石+蒙脱石+累托石两种组合,进一步可细分出斑岩型矿床多光谱遥感地表蚀变矿物组合并呈现出良好的分带特征:地堡那木岗铜金矿床自内而外依次为白云母+高岭石/蒙脱石→地开石+蒙脱石+累托石→Mg—OH类矿物组合,分别对应于前人野外调查所勘测到的的绢英岩化带+泥化带→泥化带→青磐岩化带,Fe3+矿物叠加于绢英岩化带、泥化带及其两带的叠合部位。所提取的多光谱遥感蚀变矿物组合分带特征对该区斑岩型铜金矿床的勘查工作提供了重要的遥感线索,对定位找矿靶区具有指导意义。 相似文献
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《International Journal of Digital Earth》2013,6(6):487-504
This paper is an attempt to introduce the role of earth observation technology and a type of digital earth processing in mineral resources exploration and assessment. The sub-pixel distribution and quantity of alteration minerals were mapped using linear spectral unmixing (LSU) and mixture tuned matched filtering (MTMF) algorithms in the Sarduiyeh area, SE Kerman, Iran, using the visible-near infrared (VNIR) and short wave infrared (SWIR) bands of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument and the results were compared to evaluate the efficiency of methods. Three groups of alteration minerals were identified: (1) pyrophylite-alunite (2) sericite-kaolinite, and (3) chlorite-calcite-epidote. Results showed that high abundances within pixels were successfully corresponded to the alteration zones. In addition, a number of unreported altered areas were identified. Field observations and X-ray diffraction (XRD) analysis of field samples confirmed the dominant mineral phases identified remotely. Results of LSU and MTMF were generally similar with overall accuracy of 82.9 and 90.24%, respectively. It is concluded that LSU and MTMF are suitable for sub-pixel mapping of alteration minerals and when the purpose is identification of particular targets, rather than all the elements in the scene, the MTMF algorithm could be proposed. 相似文献
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混合矿物组合光谱在蚀变矿物填图中的应用—以云南香格里拉地区Hyperion 数据蚀变矿物填图为例勘察新技术的应用 总被引：1，自引：0，他引：1
[摘要]由于自然界中矿物的共生组合具有一定的规律性,因此,在地质找矿和蚀变矿物填图中,
蚀变矿物组合和分带往往比单一的蚀变矿物更具有指导和决策意义。根据矿物在岩石、矿石或蚀变带
中的共生和伴生组合规律及工作的地质目标,将某些不易区分且又不必要区分的矿物作为一个矿物组
合进行识别,在混合光谱分解中亦作为一个端元进行计算,是解决矿物混合光谱的另一种有效途径。本
文使用云南香格里拉地区的hyperion 高光谱数据,以提取褐铁矿+绢云母的识别矿物组合作为矿物填图
研究的组合端元矿物目标,对云南高海拔地区的岩石蚀变信息进行了提取和分析,制作了遥感蚀变异常
图,并在图中蚀变提取异常的研究区实地考察并与提取信息作了比较。识别结果表明:研究区山头海拔
高度基本都在4000 m 以上,原始植被较少,岩石露头较多,虽然受各种干扰较大,但提取出了比较满意
的效果,进而可以其它知识的辅助下,可以实现对成矿远景区以及靶区的圈定。 相似文献
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Spectral analysis technique has been utilized to identify the Bauxite mineral occurrences in Panchpatmali, Orissa, India. Spectral processing of Landsat ETM+ data has been carried out by converting the digital data from quantized and calibrated values to reflectance values. Minimum noise fraction transformation is used to determine the inherent dimensionality of reflected Landsat ETM+ data, to segregate noise in the data, and to reduce the computational requirements for subsequent processing and interactively to locate pure pixels within the data-set, projecting n-dimensional scatterplots. Spectral processing results are displayed in the form of images corresponding to each group of pixels (endmembers). Mixed tune matched filtering method has been applied on Landsat ETM+ images which gave three score (abundance) images for three different classes (endmembers) such as Bauxite, vegetation and soil. Further, mineralized zones are identified using image fusion of ERS-2 SAR and Landsat ETM+ data using intensity-hue-saturation technique. 相似文献
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The Lut block, eastern Iran, is one of the most extensive Cenozoic magmatic rocks, that show suitable targets for porphyry Cu-Au and high-sulfidation epithermal Au related to porphyry Cu-Au mineralization. In this study, Advanced Spaceborne Thermal Emission and Reflection Radiometer （ASTER） was used to identify different erosion levels of three porphyry Cu deposits, including Maherabad, Shadan, and Chah Shaljami, located in the Lut block volcanic-plutonic belt. Alteration minerals, including kaolinite, dickite, alunite, jarosite, epidote, chlorite, montmorillonite, muscovite, biotite, orthoclase, gypsum, and quartz, are selected to map different alteration zones and erosion levels. Distributions of end-members are mapped by using the SAM and MTMF in VNIR and SWIR of ASTER bands and the results are evaluated against the field studies. For some end-members, the results of SAM processing are more reliable compared to the MTMF because the latter looses field spectra. The use of angle threshold in the SAM, and MF-score and infeasibility value in the MTMF or low abundance of some end-members, and finally comparison of output images of spectral processing show good correlation with alteration maps. Differentiation and explanation of various erosion levels of porphyry Cu deposits are done successfully by using the ASTER sensor data. 相似文献
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