scholarly journals Bio-sorption of uranium by saragassum detifolium from the trachytic sills of Wadi El Atshan area, central eastern desert, Egypt

2021 ◽  
Vol 975 ◽  
pp. 012023
Author(s):  
N SH Gad ◽  
N M Farag
Keyword(s):  
Eastern Desert ◽  
Central Eastern Desert ◽  
Central Eastern

ASSESSING THE ENVIRONMENTAL IMPACTS OF GOLD MINING ACTIVITIES, SUKARI MINE, CENTRAL EASTERN DESERT, EGYPT

2019 ◽  
Author(s):  
Ahmed Abdelaal ◽  
◽  
Mohamed Sultan ◽  
R.V. Krishnamurthy ◽  
Mustafa Kemal Emil ◽  
...  
Keyword(s):  
Environmental Impacts ◽  
Gold Mining ◽  
Eastern Desert ◽  
Mining Activities ◽  
Central Eastern Desert ◽  
Central Eastern

scholarly journals Utilization of Space-Borne Imagery for Lithologic Mapping: A Case Study From Um Had Area, Central Eastern Desert, Egypt

2014 ◽  
Vol 6 (2) ◽  
pp. 113 ◽  
Author(s):  
Nedal Qaoud
Keyword(s):  
Remote Sensing Data ◽  
Principal Component ◽  
Eastern Desert ◽  
Granitic Rocks ◽  
Gray Scale ◽  
Band Ratio ◽  
Lithological Mapping ◽  
Central Eastern Desert ◽  
Dokhan Volcanics ◽  
Central Eastern

Remote sensing data are used to discriminate between the different lithologies covering the Um Had area, Central Eastern Desert of Egypt. Image processing techniques applied to the Enhanced Thematic Mapper (ETM+) data are used for mapping and discriminating the different basement lithologies of Um Had area. Principal component analysis (PCA), minimum noise fraction (MNF) transform and band rationing techniques provide efficient data for lithological mapping. The study area is underlain by gneisses, ophiolitic melange assemblage (talc-serpentinite, metagabbro, metabasalt), granitic rocks, Dokhan volcanics, Hammamat sediments and felsites. The resulting gray-scale PC2, PC3 and PC4 images are best to clearly discriminate the Hammamat sediments, amphibolites and talc-serpentinites, respectively. The gray-scale MNF3 and MNF4 images easily discriminate the felsites and talc-serpentinites, respectively. The band ratio 5/7 and 4/5 images are able to delineate the talc-serpentinites and Hammamat sediments, respectively. Information collected from gray-scale and false color composite images led to generation of detailed lithologic map of Um Had area.

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