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Fracture network mapping using Landsat-8 OLI, Sentinel-2A, ASTER, and ASTER-GDEM data, in the Rich area (Central High Atlas, Morocco)
Arabian Journal of Geosciences ( IF 1.827 ) Pub Date : 2020-08-08 , DOI: 10.1007/s12517-020-05736-6
Ibtissame Bentahar , Mohammed Raji , Hicham Si Mhamdi

Geological mapping using remote sensing is one of the most important applied methods in natural resources exploration. The objectives of this study are mapping and analyzing of fractures distribution in the Rich area in order to understand the influence of lithology and geodynamics on fracture density. For this purpose, we relied on automatic lineament extraction using four types of satellite imagery: Landsat OLI, Sentinel 2A, ASTER L1B, and ASTER Global Digital Elevation Model (GDEM) in order to extract the maximum of lineaments affirmed significative in structural interpretations. After image corrections, the processing of these images is based on the highlighting of structural lineaments and their automatic extraction using the algorithm line of Geomatica software. The validation of linear structures was made based on existing data. The finding showed that each produced map shows systematically a similarity in terms of concentration and orientation with three preferential system-oriented NE-SW, NEE-SSW, E-W, and NNE-SSW. Lineaments mainly follow that of major fault zones, with a high concentration in the North-East part of the study area. This might be due to the importance of the Alpine orogeny deformation as well as the diapirism phenomenon of the Triassic formations in the hiner zone of the Atlas belt. However, the observation shows that the number and total length of structural lineaments could be extracted by using the sentinel 2A then Landsat OLI, ASTER-GDEM, and ASTER L1B set. The automatic extraction allows better mapping of structural lineaments. It shows a good agreement and more information compared with previous geological data, confirming the efficiency of applied techniques in geological studies.



中文翻译:

使用Richs地区(摩洛哥中部高级地图集)的Landsat-8 OLI,Sentinel-2A,ASTER和ASTER-GDEM数据进行裂缝网络测绘

利用遥感进行地质测绘是自然资源勘探中最重要的应用方法之一。这项研究的目的是绘制和分析富人地区的裂缝分布,以便了解岩性和地球动力学对裂缝密度的影响。为此,我们依赖于使用四种类型的卫星图像进行自动线条提取:Landsat OLI,Sentinel 2A,ASTER L1B和ASTER全球数字高程模型(GDEM),以便提取在结构解释中得到肯定的最大线条。经过图像校正后,这些图像的处理将基于突出显示结构线条并使用Geomatica软件的算法来自动提取。线性结构的验证是基于现有数据进行的。研究结果表明,每个生成的图谱在集中度和方向上都与三种优先的面向系统的NE-SW,NEE-SSW,EW和NNE-SSW相似。线状体主要跟随主要断层带,在研究区的东北部集中。这可能是由于高山造山带变形的重要性以及阿特拉斯带高层区三叠纪地层的二叠纪现象所致。但是,观察结果表明,可以通过使用前哨2A,Landsat OLI,ASTER-GDEM和ASTER L1B集来提取结构线条的数量和总长度。自动提取可以更好地绘制结构线条。与以前的地质数据相比,它显示出很好的一致性和更多信息,

更新日期:2020-08-08
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