Iron ore prospection East Aswan, Egypt, using remote sensing techniques

Salem, S.M.; Gammal, El

doi:10.1016/j.ejrs.2015.04.003

Cited by 17 publications

(11 citation statements)

References 19 publications

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“…The FCC on the Landsat 8 bands (7, 5, and 3) as red, green and blue color respectively of the study area highlighted the geological and lineament features and provided lithological discrimination between basement and sedimentary rocks. From FCC, sedimentary rocks containing iron composition appears as dull pale yellow and greenish brown color pixels (Salem & Gammal, 2015).…”

Section: False Color Composite (Fcc)mentioning

confidence: 99%

Prospection of Potential Iron Deposit in Gandaki and Lumbini Province of Nepal Using Remote Sensing Technology

Regmi¹,

Dhungana²,

Saud³

et al. 2022

J. Geoinformatics, Nep.

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Integrated remote sensing and Geographic Information System provides an aid to find presence of metallic and non-metallic minerals. This approach was used to explore Iron deposits in districts of Gandaki and Lumbini province of Nepal in which 8 districts were identified as the reserves of iron ores namely Nawalpur, Palpa, Baglung, Parbat, Syangja, Tanahu, Arghakhanchi and Gulmi. These districts fall under various geological formation such as Suntar formation, Melpani formation. These formations are found to be rich in metallic minerals. Remote Sensing (RS) and Geographic Information Systems (GIS) offers a cost effective and attractive strategy in mineral prospection, notably for a mineral exploration project. Landsat 8 satellite images, processed through band rationing method highlights the hydrothermal alterations and Iron Oxide containing region. False Color Composite and Principal Component Analysis method highlights sedimentary rocks. Each method exaggerates spectral signatures which highlights the surfaces by different colors indicating presence of iron ores. Lineaments are also extracted from Landsat images combining with Digital Elevation Model (DEM).Lineaments are those structures that provide information about fault and fractures on the surface and helps to identify mineral deposition zones. The result produced through different RS techniques were introduced in GIS environment. Potential iron content region were identified by using Suitability analysis i.e. multi criteria decision analysis (MCDA). Map showing the potential iron ore deposit map was generated by integrating the results together reclassified into a common scale and overlaid with suitable weightage. Final output/map indicates the best possible sites for detailed study of iron ores. The study demonstrates the usefulness and effectiveness of remote sensing and GIS in iron and other mineral mapping.

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Section: False Color Composite (Fcc)mentioning

confidence: 99%

Prospection of Potential Iron Deposit in Gandaki and Lumbini Province of Nepal Using Remote Sensing Technology

Regmi¹,

Dhungana²,

Saud³

et al. 2022

J. Geoinformatics, Nep.

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“…O satélite Landsat 8 carrega o sensor Operational Land Imager OLI, que coleta dados de imagem em 9 bandas espectrais de ondas curtas em uma faixa de 190 km, com uma resolução espacial de 30 m para todas as bandas, exceto a banda Pan, de 15 m (United States Geological Survey 2018). Produtos desse sensor têm sido amplamente utilizados para estudos geológicos como mapeamento litológico ou prospecção mineral (Salem & El Gammal 2015;Zacchi et al 2010). Neste estudo, a cena 218-71, adquirida durante a estação seca (1/6/2017), foi recortada na região estudada (Figura 7A).…”

Section: Imagens Landsatunclassified

Modelagem de Dados Geofísico-espaciais por Lógica Fuzzy Aplicada ao Distrito Ferrífero Nova Aurora, Norte de Minas Gerais

et al. 2021

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“…The Precambrian rocks of the Southeastern Desert of Egypt, including the study area, have been studied by [7][8][9][10][11][12][13][14]. The purpose of this paper is to study the Wadi Abu Ghalaga area and differentiate the hydrothermal alteration zones from their host rocks, as there are target localities for mineral exploration in such areas.…”

Section: Introductionmentioning

confidence: 99%

Hydrothermal Alteration Mapping Using Landsat 8 and ASTER Data and Geochemical Characteristics of Precambrian Rocks in the Egyptian Shield: A Case Study from Abu Ghalaga, Southeastern Desert, Egypt

et al. 2022

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This study evaluates the geological attributes of rocks within the Abu Ghalaga area using spatial, geochemical, and petrographic approaches. ASTER and Landsat imagery processed using band ratio and principal component analysis were used to map hydrothermal alterations, while a regional tectonic evaluation was based on automated extraction of lineaments from a digital elevation model. Geochemical and petrographic analyses were then employed for discrete scale evaluation of alteration patterns of rocks across the study location. Based on satellite image processing, alteration patterns across the study area are widespread, while evidence from lineament analysis suggests a dominant NW–SE tectonic trend accompanied by a less dominant ENE–WSW direction. The different rock units exposed in the studied district are arranged chronologically from oldest to youngest as arc metavolcanic group (basalt and rhyolite), arc metagabbro–diorite, gneissose granite (granodiorite and tonalite), and dykes (aplite and felsite). Various types of igneous and metamorphic rocks have propylitic, phyllic, and argillic zones. Geochemical data indicate that the studied rocks are classified into granite, granodiorite, gabbroic diorite, and gabbro. Geochemically, the rocks have a sub-alkaline magma type. The granodiorite–tonalite is derived from the calc–alkaline magma nature, while gabbro and diorite samples exhibit tholeiitic to calc–alkaline affinity. The tectonic setting of the studied rocks trends toward volcanic arc granite (VAG). Based on petrographic, geochemical, and remote analyses, sericitization, chloritization, epidotization, kaolinitization, carbonatization, and silicification are the main alteration types present in the study area. As a result of lineaments analysis, the existing fractures and structural planes form valid flow paths for mineral-bearing hydrothermal solutions.

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Iron ore prospection East Aswan, Egypt, using remote sensing techniques

Cited by 17 publications

References 19 publications

Prospection of Potential Iron Deposit in Gandaki and Lumbini Province of Nepal Using Remote Sensing Technology

Prospection of Potential Iron Deposit in Gandaki and Lumbini Province of Nepal Using Remote Sensing Technology

Modelagem de Dados Geofísico-espaciais por Lógica Fuzzy Aplicada ao Distrito Ferrífero Nova Aurora, Norte de Minas Gerais

Hydrothermal Alteration Mapping Using Landsat 8 and ASTER Data and Geochemical Characteristics of Precambrian Rocks in the Egyptian Shield: A Case Study from Abu Ghalaga, Southeastern Desert, Egypt

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