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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)

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Abstract

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.

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Abbreviations

PCA:

Principal component analysis

OLI :

Operational Land Imager

ASTER :

Advanced Spaceborne Thermal Emission Reflection Radiometer

GDEM:

Global Digital Elevation Model

VNIR:

The visible/near-infrared

SWIR:

The short-wave infrared

TIR:

Thermal infrared

UTM:

Universal Transverse Mercator projection

GIS:

Geographic Information System

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Authors and Affiliations

  1. Laboratory of Geodynamics of Old Belts, Department of Geology, Faculty of Sciences Ben M’Sik, Hassan II University of Casablanca, Casablanca, Morocco

    Ibtissame Bentahar & Mohammed Raji

  2. Department of Geosciences, Faculty of Sciences and Techniques Errachidia, University Moulay Ismail of Meknes, Meknes, Morocco

    Hicham Si Mhamdi

Authors
  1. Ibtissame Bentahar
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  2. Mohammed Raji
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  3. Hicham Si Mhamdi
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Correspondence to Ibtissame Bentahar.

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Responsible Editor: Biswajeet Pradhan

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Bentahar, I., Raji, M. & Si Mhamdi, H. Fracture network mapping using Landsat-8 OLI, Sentinel-2A, ASTER, and ASTER-GDEM data, in the Rich area (Central High Atlas, Morocco). Arab J Geosci 13, 768 (2020). https://doi.org/10.1007/s12517-020-05736-6

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