Mapping and analysis of structural lineaments using SRTM radar data and Landsat-8 OLI image: an example from the Telouet-Tighza area, Marrakech High Atlas, Morocco

IF 1.3 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Canadian Journal of Earth Sciences Pub Date : 2023-02-28 DOI:10.1139/cjes-2022-0113
Maryam Errami, A. Algouti, Abdellah Algouti, A. Farah
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引用次数: 2

Abstract

This study provides the first evaluation of the potential of both Landsat-8 Operational Land Imager (OLI) sensor images and the Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) data, for automated lineament extraction in the south side of Marrakech High Atlas (MHA), (Telouet-Tighza area). After image corrections, enhancement methods such as Principal Component Analysis (PCA), Band Composite (BC) and Directional Filter (DF) were adopted in order to create new images that provide high visibility of linear structures. The new Landsat BC image used in this study was selected based on the calculation of the optimum index factor (OIF) and Correlation Index. In addition to the Landsat image, the SRTM DEM is used to detect structural lineaments in the area, by generating shaded relief images. Multi-source data, such as Band Ratio (BR) image, geological maps and fieldwork, were used to eliminate the non-geological lineaments extracted. The results indicate that automated method was applied successfully for lineament mapping in this area, by detailing the main tectonic faults. Moreover, new lineaments are identified and are validated by field works. Structural lineaments extracted show compatibility in their direction, length, distribution and density with the tectonic evolution of the study area. A total of 2945 lineaments are extracted with major ENE-WSW, and predominant E-W directions. The new structural map shows more structural information compared with the geological map of this area, and exemplifies the performance of Landsat-8 OLI bands and SRTM data in this kind of study.
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利用SRTM雷达数据和Landsat-8 OLI图像绘制和分析结构轮廓:以摩洛哥马拉喀什高地图集Telouet-Tighza地区为例
本研究首次评估了Landsat-8操作陆地成像仪(OLI)传感器图像和航天飞机雷达地形任务(SRTM)数字高程模型(DEM)数据的潜力,用于马拉喀什高地图集(MHA)南侧(Telouet-Tighza地区)的自动轮廓提取。在对图像进行校正后,采用主成分分析(PCA)、波段合成(BC)和方向滤波(DF)等增强方法,生成具有较高线性结构可视性的新图像。在计算最佳指数因子(OIF)和相关指数的基础上,选择了本研究使用的新Landsat BC图像。除了Landsat图像外,SRTM DEM还用于通过生成阴影地形图像来检测该地区的结构轮廓。利用带比图像、地质图和野外调查等多源数据对提取的非地质特征进行剔除。结果表明,通过对主要构造断裂的详细描述,自动化方法在本区得到了成功的应用。此外,还通过现场工作识别并验证了新的轮廓。提取的构造线在方向、长度、分布、密度等方面均与研究区构造演化相适应。共提取了2945个以ENE-WSW为主,以E-W方向为主。与该地区的地质图相比,新构造图显示了更多的构造信息,并举例说明了Landsat-8 OLI波段和SRTM数据在此类研究中的性能。
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来源期刊
Canadian Journal of Earth Sciences
Canadian Journal of Earth Sciences 地学-地球科学综合
CiteScore
2.80
自引率
7.10%
发文量
66
审稿时长
6-12 weeks
期刊介绍: The Canadian Journal of Earth Sciences reports current research in climate and environmental geoscience; geoarchaeology and forensic geoscience; geochronology and geochemistry; geophysics; GIS and geomatics; hydrology; mineralogy and petrology; mining and engineering geology; ore deposits and economic geology; paleontology, petroleum geology and basin analysis; physical geography and Quaternary geoscience; planetary geoscience; sedimentology and stratigraphy; soil sciences; and structural geology and tectonics. It also publishes special issues that focus on information and studies about a particular segment of earth sciences.
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