Hyperspectral remote sensing for mapping and detection of Egyptian kaolin quality

Awad, Mahmoud E.; Amer, Reda; López-Galindo, Alberto; El-Rahmany, Mahmoud M.; Moral, L. F. García del; Viseras, César

doi:10.1016/j.clay.2018.02.042

Cited by 30 publications

(14 citation statements)

References 47 publications

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“…The Abu Zenima area is one of Egypt's essential localities for sedimentary kaolinite resources. It has the highest quality and reserves of kaolinite in Egypt, which is estimated of about 120 million tons 18 , 19 . The lithological surface units at the Abu Zenima area are ranged from the Pre-Cambrian basement rocks to the Quaternary deposits (Fig.…”

Section: Methodsmentioning

confidence: 99%

“…The sedimentary rocks are an interesting part of kaolinite exploration, especially those of the Carboniferous and Cretaceous ages 18 . The substantial outcrop of Kaolinite-bearing members in the study area belongs to the Matulla Formation of Upper Cretaceous (Santonian) age, which is exposed at the end of Wadi Khaboba and north of the El Markha plain (Fig.…”

Section: Methodsmentioning

confidence: 99%

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Evaluation insight into Abu Zenima clay deposits as a prospective raw material source for ceramics industry: Remote Sensing and Characterization

Maged

El-Magd

Radwan

et al. 2023

Sci Rep

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The rapid development and mutations have heightened ceramic industrialization to supply the countries' requirements worldwide. Therefore, the continuous exploration for new reserves of possible ceramic-raw materials is needed to overwhelm the increased demand for ceramic industries. In this study, the suitability assessment of potential applications for Upper Cretaceous (Santonian) clay deposits at Abu Zenima area, as raw materials in ceramic industries, was extensively performed. Remote sensing data were employed to map the Kaolinite-bearing formation as well as determine the additional occurrences of clay reserves in the studied area. In this context, ten representative clayey materials from the Matulla Formation were sampled and examined for their mineralogical, geochemical, morphological, physical, thermal, and plasticity characteristics. The mineralogical and chemical compositions of starting clay materials were examined. The physicochemical surface properties of the studied clay were studied utilizing SEM–EDX and TEM. The particle-size analysis confirmed the adequate characteristics of samples for white ceramic stoneware and ceramic tiles manufacturing. The technological and suitability properties of investigated clay deposits proved the industrial appropriateness of Abu Zenima clay as a potential ceramic raw material for various ceramic products. The existence of high kaolin reserves in the studied area with reasonable quality and quantity has regional significance. It would significantly help reduce the manufacturing cost and overwhelm the high consumption rate. The ceramic manufacturers in the investigated areas are expected to bring steady producers into the industry in the long term to gain the advantage of low-cost raw materials, labor, and factory construction.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Evaluation insight into Abu Zenima clay deposits as a prospective raw material source for ceramics industry: Remote Sensing and Characterization

Maged

El-Magd

Radwan

et al. 2023

Sci Rep

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“…FTIR spectroscopy may also be used to investigate the degree of structural order of kaolin minerals (Russell & Fraser, 1994;Awad et al, 2018). Figure 9 shows the OH-stretching region of the IR spectra of the selected samples from the Kaédi and Hassi Abyad deposits.…”

Section: Ir Spectroscopymentioning

confidence: 99%

Investigation of unexplored kaolin occurrences in southern Mauritania and preliminary assessment of possible applications

Küster¹,

Kaufhold²,

Limam

et al. 2021

Clay miner.

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Non-metallic raw materials are largely unexplored in many African countries. In an attempt to reduce this knowledge gap, kaolin occurrences in three promising regions of southern Mauritania were examined. The aim of the paper is to describe the occurrences and characterize the material in terms of mineralogy and potential technical use in the ceramics industry. The kaolins are geologically associated with various sedimentary rock units in either the Coastal Basin (Kaédi), the Mauritanide Belt (Hassi Abyad) or the Taoudeni Basin (Néma). Geochemical data show Al2O3 contents of between 9% and 38% (corresponding to 23–96% kaolinite). Samples from the Hassi Abyad and Kaédi regions have greater kaolinite contents on average and were further investigated mineralogically. The kaolin from the Néma region contained less kaolinite (<50 mass%). The region is also less accessible and hence is not considered further in this study. X-ray diffraction, X-ray fluorescence and infrared spectroscopy confirmed the geochemically calculated kaolinite contents of the kaolins and identified quartz, anatase and goethite as the remaining major mineral constituents. The degree of structural disorder of the kaolinites (determined by infrared spectroscopy) is generally greater in the Kaédi occurrences than at Hassi Abyad. Ceramic tests proved that all of these kaolin raw materials might be used for the production of ceramics, and some may even be used for fine ceramics. From an economic point of view, the Hassi Abyad deposit is interesting in terms of its quality and reserves, aspects that will be addressed in detail in a follow-up study.

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“…Massive, net-textured, and disseminated Ni-Cu-PGE occurrences and PGErich reefs containing disseminated sulfides have sulfide-associated ore minerals (Ripley and Li, 2018). Therefore, remote sensing data can be used extensively and effectively for mapping these minerals (Awad et al, 2018). There are many methods used for extracting minerals from remote sensing data.…”

Section: Mineralsmentioning

confidence: 99%

A review of machine learning in processing remote sensing data for mineral exploration

Shirmard,

Farahbakhsh,

Muller

et al. 2021

Preprint

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As a primary step in mineral exploration, a variety of features are mapped such as lithological units, alteration types, structures, and minerals. These features are extracted to aid decision-making in targeting ore deposits. Different types of remote sensing data including satellite optical and radar, airborne, and drone-based data make it possible to overcome problems associated with mapping these important parameters on the field. The rapid increase in the volume of remote sensing data obtained from different platforms has allowed scientists to develop advanced, innovative, and powerful data processing methodologies. Machine learning methods can help in processing a wide range of remote sensing data and in determining the relationship between the reflectance continuum and features of interest. Moreover, these methods are robust in processing spectral and ground truth measurements

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Hyperspectral remote sensing for mapping and detection of Egyptian kaolin quality

Cited by 30 publications

References 47 publications

Evaluation insight into Abu Zenima clay deposits as a prospective raw material source for ceramics industry: Remote Sensing and Characterization

Evaluation insight into Abu Zenima clay deposits as a prospective raw material source for ceramics industry: Remote Sensing and Characterization

Investigation of unexplored kaolin occurrences in southern Mauritania and preliminary assessment of possible applications

A review of machine learning in processing remote sensing data for mineral exploration

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