Lithologic mapping in arid regions with Landsat thematic mapper data: Meatiq dome, Egypt

Sultan, M.; Arvidson, R. E.; Sturchio, Neil C.; Guinness, E. A.

doi:10.1130/0016-7606(1987)99<748:lmiarw>2.0.co;2

Cited by 161 publications

(81 citation statements)

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“…This is because iron oxides and iron-bearing minerals are highlighted by band ratios 6/5,*4/5 (Sultan, 1986(Sultan, & 1987. The alteration zones could be identified by their yellow/whitish yellow color.…”

Section: Landsat-8mentioning

confidence: 94%

“…Analysis and integration of OLI and ASTER data are effective in predicting the occurrence of a certain group of minerals; Al-OH, Fe-OH and Mg-OH e.g., kaolinite, alunite, illite, muscovite, montmorillonite, chlorite, calcite, and dolomite (Azizi et al, 2010;Mars and Rowan, 2006;Rowan et al, 2006). Several studies were carried out in the Central Eastern Desert of Egypt to map lithology and alteration zone (e.g., Sultan et al, 1986Sultan et al, & 1987Gabr et al, 2010;Asran et al, 2012;Kusky and Ramadan, 2002). The aim of the present study is to apply OLI and ASTER data to map and highlight area of hydrothermal alteration zones as an indication of mineral resources in the arid regions.…”

Section: Introductionmentioning

confidence: 99%

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Lithologic Mapping using Remote Sensing Data in Abu Marawat Area, Eastern Desert of Egypt

Abdelkareem

Othman

2017

IJARSG

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Remotely sensing data include Landsat-8 Operational Land Imager (OLI) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data successfully delineated the alteration zone in Abu Marawat area. Image transformation technique was applied in the present study. Band ratio color composites (6/7, 6/5,*4/5, 5) and Principal Component Analysis (PCA) technique of Landsat-8 highlighted the alteration zone. Band ratio color composites ASTER bands 4/6, 4/2, and 4/3 in the R, G, and B, respectively, provided a significant results of alteration zone. Minimum Noise fraction technique (MNF) provided better results that clearly delineated the mineral potential area. Field data and previous works validated the alteration zones. The overall results showed the importance of image processing in showing the probable area of mineral resources.

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Section: Landsat-8mentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Lithologic Mapping using Remote Sensing Data in Abu Marawat Area, Eastern Desert of Egypt

Abdelkareem

Othman

2017

IJARSG

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“…-Les rapports de bandes 5/1 et 5/7 ont été utilisés par Sultan et al (1986Sultan et al ( , 1987Sultan et al ( et 1988, dans le désert égyptien pour discriminer respectivement les aluminosilicates et les carbonates. L'ensemble des données de la description et de l'identification des unités sera utilisée pour établir la carte lithostratigraphique.…”

Section: 2-distinction Et Identification Des Lithologiesunclassified

Recherche par télédétection géologique de sites potentiels d'hydrocarbures dans l'anti-atlas marocain /

Idrissi¹

1999

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“…The need to normalize band ratios to ease scaling, has paved way for spectral indices while still maximizing the sensitivity of the target features. Examples of band ratios that have been used in geology applications using Landsat are: 3/1-iron oxide (Gad and Kusky, 2006), 5/1-magnetite content (Sabins, 1999), 5/7 -hydroxyl bearing rock (Sultan et al, 1987), 7/4 -clay minerals (Laake, 2011), 5/4*3/4 -metavolcanics (Rajendran et al, 2007), 5/4 -ferrous minerals (Carranza and Hale, 2002). Other band ratios possible with ASTER data and hyperspectral data are discussed by (van der Meer et al, 2012;Ninomiya et al, 2005).…”

Section: Utility Of Dip Of Multispectral Medium Resolution Data To Gementioning

confidence: 99%

“…The aim of this research was to compare the ability of Landsats ETM+ and OLI in mapping geology and visualizing lineaments using remote sensing techniques. The uniqueness of the study is that while previous researches such as (Ali et al, 2012;Gad and Kusky, 2006;Kenea, 1997;Novak and Soulakellis, 2000;Sultan et al, 1987) have used Landsat to map geology in Arid regions, the study area in this study had both semi arid and highland conditions. Also given that Landsat 8 has narrower spectral bands compared to Landsat 7, it was of interest to investigate their ability in distinguishing various lithology classes.…”

Section: Introductionmentioning

confidence: 99%

A comparison of Landsat 8 (OLI) and Landsat 7 (ETM+) in mapping geology and visualising lineaments: A case study of central region Kenya

Mwaniki

Moeller

Schellmann

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Availability of multispectral remote sensing data cheaply and its higher spectral resolution compared to remote sensing data with higher spatial resolution has proved valuable for geological mapping exploitation and mineral mapping. This has benefited applications such as landslide quantification, fault pattern mapping, rock and lineament mapping especially with advanced remote sensing techniques and the use of short wave infrared bands. While Landsat and Aster data have been used to map geology in arid areas and band ratios suiting the application established, mapping in geology in highland regions has been challenging due to vegetation land cover. The aim of this study was to map geology and investigate bands suited for geological applications in a study area containing semi arid and highland characteristics. Therefore, Landsat 7 (ETM+, 2000) and Landsat 8 (OLI, 2014) were compared in determining suitable bands suited for geological mapping in the study area. The methodology consist performing principal component and factor loading analysis, IHS transformation and decorrelation stretch of the FCC with the highest contrast, band rationing and examining FCC with highest contrast, and then performing knowledge base classification. PCA factor loading analysis with emphasis on geological information showed band combination (5, 7, 3) for Landsat 7 and (6, 7, 4) for Landsat 8 had the highest contrast and more contrast was enhanced by performing decorrelation stretch. Band ratio combination (3/2, 5/1, 7/3) for Landsat 7 and (4/3, 6/2, 7/4) for Landsat 8 had more contrast on geologic information and formed the input data in knowledge base classification. Lineament visualisazion was achieved by performing IHS transformation of FCC with highest contrast and its saturation band combined as follows: Landsat 7 (IC1, PC2, saturation band), Landsat 8 (IC1, PC4, saturation band). The results were compared against existing geology maps and were superior and could be used to update the existing maps.* Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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Lithologic mapping in arid regions with Landsat thematic mapper data: Meatiq dome, Egypt

Cited by 161 publications

References 0 publications

Lithologic Mapping using Remote Sensing Data in Abu Marawat Area, Eastern Desert of Egypt

Lithologic Mapping using Remote Sensing Data in Abu Marawat Area, Eastern Desert of Egypt

Recherche par télédétection géologique de sites potentiels d'hydrocarbures dans l'anti-atlas marocain /

A comparison of Landsat 8 (OLI) and Landsat 7 (ETM+) in mapping geology and visualising lineaments: A case study of central region Kenya

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