Landsat ETM+7 Digital Image Processing Techniques for Lithological and Structural Lineament Enhancement: Case Study Around Abidiya Area, Sudan

Ali, Elmugdad Ahmed

doi:10.2174/1875413901205010083

Cited by 24 publications

(4 citation statements)

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“…It provides a view of large regions allowing the identification of zones of interest that could be targeted by detailed investigations. The geographical information system GIS, on the other hand, allows navigation, data entry, mapping and furthermore data analysis and integration [8][9][10][11]. Indeed, this method saves time, effort and cost.…”

Section: Methodsmentioning

confidence: 99%

Remote sensing data for Geological mapping and gold prospecting of Inteet area, northern Sudan

et al. 2021

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The mineral exploration has improved in the last decades, today there are different methods of remote exploration, that are applied in mining industry worldwide, helping to discover ore minerals deposits in zones that have not access to them. The study area of this article is located about 400 km from Khartoum, characterized by low reliefs covered by sand and gravely sand. The study wants to carry out the geological mapping and the prospective zones using remote sensing and GIS techniques. Sudan is characterized by geological formations over inaccessible areas, in that way the remote sensing technique has a great value in these conditions, saving time and money. The used methodology has been divided into three phases: Pre-field office work, field work and post-field work. The processing of the satellite images includes color band composites, in order to obtain the lithological and geological features, the different types of rocks were defined by a different color. Obtaining the following rock types: High-grade gneisses and migmatites described to comprise the basement complex, ophiolitic mafic-ultramafic rocks that appear in the northern and southern sides of the area, metasediments that cover most of the study area, syn-orogenic intrusions that cut the older mafic-ultramafic units and the metavolcanosedimentary sequences, post-orogenic intrusions and gold mineralization. Based on the image analysis results of Landsat 8 OLI, 32 ore samples were collected to analysis gold and pathfinder elements obtaining high anomalies results for Au, Ag, Cu, Zn, Pb and Fe.

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Section: Methodsmentioning

confidence: 99%

Remote sensing data for Geological mapping and gold prospecting of Inteet area, northern Sudan

et al. 2021

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“…It is the most widely adopted method to discriminate between different lithologies (Adiri et al, 2016;Si Mhamdi et al, 2017). The choice of bands is related to the spectral difference of the material with respect to its environment (Si Mhamdi et al, 2017;Thannoun, 2013).The application of the combinations of previous studies (Esamaldeen, 2012;Adiri et al, 2016;Si Mhamdi et al, 2017;Yousefi et al, 2018), did not allow for specification of the exact limit between these two lithological groups. For this reason, the present study adopted combinations according to the reflectance of the formations targeted, and it appears that the ratios (5/7, 3/2 & 4/5) and the ratios (3/1, 5/4 & 7/5) in RGB respectively are considered to be the best reports of bands, due to their ability to improve the spectral reflectance of lithology and linear structures (Figure 8).…”

Section: Spectral Band Rationingmentioning

confidence: 99%

“…Principal Component Analysis (PCA) is an efficient technique broadly used for geological mapping (Adiri et al, 2018(Adiri et al, , 2016Amer et al, 2012;Gad & Kusky, 2007;Pour & Hashim, 2011, 2012Si Mhamdi et al, 2016. This method consists of defining the new bands (Principal Components (PCs)) which sum up the information contained in several bands in a multispectral space (Ahmad Irouhani et al, 2017;Dembele & Xiufen Ye, 2017;El Alaoui El Moujahid et al, 2016;Estornell et al, 2013;Franchi et al, 2016).…”

Section: The Principal Component Analysismentioning

confidence: 99%

Mapeo de redes de fracturas mediante imágenes Landsat-8 OLI en la zona minera de Jbel Tijekht en el Anti-Atlas oriental de Marruecos

Saidi¹,

Mhamdi

Essalhi³

et al. 2020

estudgeol

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El Jbel Tijekht es una de las estructuras geológicas más importantes de la cordillera de Ougnat-Ouzina en el Anti-Atlas Oriental. Este macizo en forma de media luna fue afectado por una red de fracturas que es visible a diferentes escalas. Es particularmente rico en vetas mineralizadas de barita y está asociado con otros minerales (por ejemplo, pirita, calcopirita, esfalerita y galena). Para estudiar los sistemas de fracturas en la zona minera de Jbel Tijekht, optamos por una combinación de teledetección e investigación de campo que se convirtió en una importante herramienta para la cartografía de las fracturas y la exploración de minerales. Este trabajo presenta un enfoque metodológico para detectar los lineamientos estructurales. Para ello, se aplicaron diversas técnicas a la imagen del Landsat 8 para mejorar la visibilidad de las estructuras lineales. Tras correcciones radiométricas y atmosféricas, los colores compuestos y los filtros direccionales aplicados al componente principal (PC1) se pudo establecer un mapa de lineamientos para Jbel Tijekht. La validación y corrección de estos lineamientos se basan en documentos preexistentes combinados con observaciones de campo. El análisis estadístico del mapa de lineamientos permite la identificación de al menos tres sistemas de fractura direccional con orientaciones promedio NS, NE-SW y ENE-WSW. Los sistemas NS y NE-SW muestran una alta densidad en la mayor parte del área de estudio. Estos resultados claramente se superponen a diferentes estructuras tectónicas y a las vetas existentes. Esto permitió establecer un vínculo geológico entre la litología, los sistemas de fracturas y la mineralización. La densidad de fracturas puede atribuirse a las últimas fases de fragilidad del orógeno varisco, lo que refleja la reología de las unidades de roca; la alta densidad de fractura se observa en las rocas competentes como las areniscas de Tabanit. Estas zonas constituyen un área favorable para los depósitos de mineralización.

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“…This is a widely used technique in geological applications to highlight geological structures and lineaments [8,21,70,81]. The objective aimed in the application of filters by studies was to find the best way for lineament identification and the enhancement of geo-structural information in the images corresponding to structural discontinuities [19,82,83]. Directional filtering is designed to highlight the specific characteristics of an image based on their frequency related to the texture [84].…”

Section: Directional Filteringmentioning

confidence: 99%

Comparison of Multi-Resolution Optical Landsat-8, Sentinel-2 and Radar Sentinel-1 Data for Automatic Lineament Extraction: A Case Study of Alichur Area, SE Pamir

et al. 2019

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Lineament mapping, which is an important part of any structural geological investigation, is made more efficient and easier by the availability of optical as well as radar remote sensing data, such as Landsat and Sentinel with medium and high spatial resolutions. However, the results from these multi-resolution data vary due to their difference in spatial resolution and sensitivity to soil occupation. The accuracy and quality of extracted lineaments depend strongly on the spatial resolution of the imagery. Therefore, the aim of this study was to compare the optical Landsat-8, Sentinel-2A, and radar Sentinel-1A satellite data for automatic lineament extraction. The framework of automatic approach includes defining the optimal parameters for automatic lineament extraction with a combination of edge detection and line-linking algorithms and determining suitable bands from optical data suited for lineament mapping in the study area. For the result validation, the extracted lineaments are compared against the manually obtained lineaments through the application of directional filtering and edge enhancement as well as to the lineaments digitized from the existing geological maps of the study area. In addition, a digital elevation model (DEM) has been utilized for an accuracy assessment followed by the field verification. The obtained results show that the best correlation between automatically extracted lineaments, manual interpretation, and the preexisting lineament map is achieved from the radar Sentinel-1A images. The tests indicate that the radar data used in this study, with 5872 and 5865 lineaments extracted from VH and VV polarizations respectively, is more efficient for structural lineament mapping than the Landsat-8 and Sentinel-2A optical imagery, from which 2338 and 4745 lineaments were extracted respectively.

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Landsat ETM+7 Digital Image Processing Techniques for Lithological and Structural Lineament Enhancement: Case Study Around Abidiya Area, Sudan

Cited by 24 publications

References 0 publications

Remote sensing data for Geological mapping and gold prospecting of Inteet area, northern Sudan

Remote sensing data for Geological mapping and gold prospecting of Inteet area, northern Sudan

Mapeo de redes de fracturas mediante imágenes Landsat-8 OLI en la zona minera de Jbel Tijekht en el Anti-Atlas oriental de Marruecos

Comparison of Multi-Resolution Optical Landsat-8, Sentinel-2 and Radar Sentinel-1 Data for Automatic Lineament Extraction: A Case Study of Alichur Area, SE Pamir

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