Landsat - 8 OLI 和 ASTER 多光谱数据在中国西北部卡拉麦里地区岩性、矿物和构造识别中的应用研究
Alternative TitleComparative analysis and effectiveness of the Landsat – 8 OLI and ASTER data for lithological, mineralogical and structural investigation of Kalamaili region (NW China)
Thesis Advisor周可法
Degree Grantor中国科学院大学
Place of Conferral北京
Degree Discipline工程硕士
KeywordLandsat – 8 OLI ASTER 波段比值 假彩色合成 主成分分析 自动线性提取 Landsat-8 OLI ASTER Band ratios False color composition Principal component analysis Automatic Lineaments Extraction
Abstract东准噶尔是中亚造山带的重要组成部分。研究区位于中国西北部准噶尔东部的卡拉麦里地区,矿产资源丰富。本研究的目的是评价 Landsat 8 OLI 和ASTER 数据在研究区的岩性区分、蚀变矿物识别和地质构造绘制的有效性,并对处理结果进行比较。研究区被花岗岩类、分散的蛇绿岩成分、片岩沉积和凝灰质基质等基底岩石所覆盖。使用波段比值、主成分分析(PCA)和假彩色合成(FCC)方法处理研究区 ASTER 和 Landsat 8 OLI 影像数据大大提高了卡拉麦里地区详细测绘的视觉解释能力。波段比值方法可以区分 ASTER 和 Landsat 8OLI 影像数据中的岩性单位。结果表明,将 ASTER 数据的波段比值结果进行假彩色合成能很好地识别岩石单元,并区分花岗岩类岩石与相邻岩石单元。基于主成分分析的 Crosta 技术能够有效识别羟基、氧化铁和碳酸盐矿物的波谱吸收特征。 Crosta 方法应用于提取 ASTER 和 Landsat 8 OLI 数据中含氧化铁和含羟基的蚀变矿物。为了提高矿床的位置,合成图像的假彩色合成分别显示为 RGB。自动提取的线理分析与研究区主要构造力的分布具有较好的对应性。图像被增强并用于自动提取。根据地质图和研究区已知的构造特征对解释的线性进行了验证。为了进一步验证来自 Landsat 8 OLI 和 Aster 数据的岩性、矿物和结构绘图,进行了实地调查,采集了岩石样品进行光谱和岩石学分析,并根据特定的岩性单位和结构评估了确认蚀变矿物带。
Other AbstractThe East Junggar is an important part of the Central Asian Orogenic Belt(CAOB). The study area is located in the Kalamaili area of Eastern Junggar, NWChina is rich in mineral resources. The aim of this study is evaluate Landsat-8 dataand comparison with the Advanced Spaceborne Thermal Emission and ReflectionRadiometer multispectral datasets covering the Kalamaili region were evaluated forlithology, alteration minerals zones and geologic structure mapping. The study area iscovered by basement rocks including granitoids, scattered ophiolitic components andschistose sedimentary and tuffaceous matrix. The band ratios, principal componentanalysis (PCA), false-color composition (FCC), and automatic lineament extraction ofASTER and Landsat 8 OLI data have substantially improved visual interpretation fordetailed mapping of the Kalamaili region in Eastern Junggar of NW China. The bandratio methods enabled the discrimination between lithological units. The results showASTER band ratios in RGB identifies the lithological units and discriminates thegranitoids very well from the adjacent rock units. The principal component analysisusing the Crosta technique to be very useful to identify the altered features ofhydroxyl, iron oxides and carbonate minerals. The Crosta method is applied to extractthe iron-oxide and hydroxyl minerals for Landsat 8 OLI and for ASTER applied toextract the iron-oxide, hydroxyl and carbonate minerals. To enhance the location ofmineral deposits, false color composite of the resultant images were displayed as RGBrespectively. The automatic extracted lineaments analysis has good correspondencewith the arrangement of the main tectonic forces of the studied area. The image wasenhanced and used for automatic extraction. Lineament interpreted was verified fromgeological map and with known structural features of the study area. To furthervalidate the lithological, mineral and structure mapping from Landsat 8 OLI andASTER data a fieldwork was carried out and rock samples were collected for spectraland petrography analysis. Validate of alteration minerals zones have been assessed interms of association with particular lithological units and structures.
Subject Area地球探测与信息技术
Document Type学位论文
First Author Affilication中国科学院新疆生态与地理研究所
Recommended Citation
GB/T 7714
MANIZHA NARZULOEVA. Landsat - 8 OLI 和 ASTER 多光谱数据在中国西北部卡拉麦里地区岩性、矿物和构造识别中的应用研究[D]. 北京. 中国科学院大学,2019.
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