Spatial and temporal distribution patterns of Precambrian mafic dyke swarms in northern Mauritania (West African craton): analysis and results from remote-sensing interpretation, geographical information systems (GIS), Google Earth ™ images, and regional geology

Ba, Moussa Hamath; Ibouh, Hassan; Lô, Khalidou; Youbi, Nasrrddine; Jaffal, Mohammed; Ernst, Richard E.; Niang, Abdoul Jelil; Dia, Ibrahima; Abdeina, El Houssein; Bensalah, Mohamed Khalil; Boumehdi, Moulay Ahmed

doi:10.1007/s12517-020-5194-2

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…With this analysis, the information presented in 5 or 6 bands is compressed into two or three principal components. Previous work (Hammed et al 2020;Ba et al 2020;Tözün et Özyavaş, 2022) have shown that the first three principal components contain over 90% of the spectral information. In our case, the first components CP1, CP2, and CP3 were chosen for the extraction of lineaments.…”

Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

Contribution of Space Remote Sensing and New Gis Tools for Mapping Geological Structures in the Mekkam Region of Northeast Morocco

GOUISS,

TAYBI,

GHARMANE

et al. 2023

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The Paleozoic buttonhole of Mekkam is located in the SE of the town of Taourirt, North Eastern Morocco. The geological framework of this buttonhole is characterized by the presence of terrains of different ages and lithologies. The oldest terrain forms a monotonous schistose bedrock with a flyshoid character of Devonian age unconformably underlain by volcanic and sedimentary formations of probable Upper Visean age, which have not been the subject of detailed structural studies. The objective of this work is to create a structural map based on satellite image processing techniques from space remote sensing. Our methodology uses remote sensing data composed of LANDSAT 8 Oli satellite imagery, taken under favorable weather conditions. Principal Component Analysis (PCA) and directional filtering were applied specifically. Thus, a map was produced using ArcGIS and Rockworks16 software. The application of these techniques allowed us to highlight the presence of lineaments with four main directions: N-S, NE-SW, E-W and NW-SE with a dominance of NW-SE and E-W directions. The interpretation of the obtained map was verified by field missions (measurements of faults, veins, and dykes). The NW-SE and E-W directions correspond in the field to mineralized quartz dykes and veins. The highlighted lineaments are concentrated in the Devonian-aged terrains where the geological material is represented by schists and volcanic rocks. The terrain is characterized by steep and rugged relief, sometimes difficult to access, such as the Sidi Lahcen massifs, the present study will initially help guide mining exploration by determining the geological lineaments in the region Thus, it confirms that remote sensing is an effective and less costly means of structural mapping in arid and semi-arid areas.

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Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

Contribution of Space Remote Sensing and New Gis Tools for Mapping Geological Structures in the Mekkam Region of Northeast Morocco

GOUISS,

TAYBI,

GHARMANE

et al. 2023

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Lithological, structural, and alteration mapping of uraniferous granitoid using Landsat 8, in the oriental part of the Reguibat shield, northern Mauritania

Brahim,

Olatunji,

Umaru

et al. 2024

Arab J Geosci

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Extracting geological and alteration information and predicting antimony ore based on multisource remote sensing data in Huangyangling, Xinjiang

Wang,

Chen,

Dai

2024

Front. Earth Sci.

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Introduction: China has the world’s largest amount of antimony resources and plays a vital role in the global antimony industry. The Huangyangling area in Xinjiang belongs to the Lazhulong-Huangyangling antimony mineralization belt; this area is rich in antimony ore resources, with potential for discovery of additional ore. This high-elevation mountainous area is located in the northwestern region of the northern Tibetan Plateau, with a harsh natural environment and poor transportation access; thus, the use of traditional geological exploration methods is limited, and remote sensing technology provides unique advantages.Methods: Using Landsat 8 OLI and Gaofen-6 (GF-6) data, we extracted stratigraphic, lithologic and fault information from the study area through information enhancement processing of the images. Based on Landsat 8 OLI, Sentinel-2 and ASTER images and the use of remote sensing image preprocessing and interference information masking, the spectral characteristics of limonite, as well as hydroxyl, carbonate, and silicified alteration minerals were utilized; the characteristics included reflection or absorption in specific spectral bands. The spectral characteristics were then combined with principal component analysis (PCA) and the band ratio method to extract the alteration information for the study area.Results: The stratigraphy and boundaries between stratigraphic and lithologic units extracted in this study were defined, and numerous small faults were identified based on a comparison with 1:250,000 geologic maps. And the overall distribution trends of the indicators of alteration extracted in this study were located along fault zones; additionally, the hydroxyl and carbonate alteration anomalies matched well with known deposits (occurrences). Thus, the alteration information is a good indication of antimony ore bodies. Based on the geological interpretation, alteration information extraction and geochemical exploration data, four prospecting areas were identified.Discussion: The method of extracting geological and hydrothermal alteration information by remote sensing has practical significance because it provides the possibility for geological work and mineral exploration in difficult high-elevation environments.

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Spatial and temporal distribution patterns of Precambrian mafic dyke swarms in northern Mauritania (West African craton): analysis and results from remote-sensing interpretation, geographical information systems (GIS), Google Earth ™ images, and regional geology

Cited by 3 publications

References 41 publications

Contribution of Space Remote Sensing and New Gis Tools for Mapping Geological Structures in the Mekkam Region of Northeast Morocco

Contribution of Space Remote Sensing and New Gis Tools for Mapping Geological Structures in the Mekkam Region of Northeast Morocco

Lithological, structural, and alteration mapping of uraniferous granitoid using Landsat 8, in the oriental part of the Reguibat shield, northern Mauritania

Extracting geological and alteration information and predicting antimony ore based on multisource remote sensing data in Huangyangling, Xinjiang

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