scholarly journals Contribution of remote sensing techniques to the recognition of titanite occurrences at Gabal El-Degheimi area, Central Eastern Desert, Egypt

2017 ◽  
Vol 20 (1) ◽  
pp. 41-50 ◽  
Author(s):  
Ahmed E. Khalil ◽  
Hatem M. El-Desoky ◽  
S.M. Salem
Keyword(s):  
Remote Sensing ◽  
Eastern Desert ◽  
Central Eastern Desert ◽  
Central Eastern ◽  
Remote Sensing Techniques

scholarly journals Using of remote sensing and aeromagnetic data for predicting potential areas of hydrothermal mineral deposits in the Central Eastern Desert of Egypt

2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Mohamed Ismail Abdelkareem
Keyword(s):  
Remote Sensing ◽  
Hydrothermal Alteration ◽  
Principal Component ◽  
Eastern Desert ◽  
Shuttle Radar Topography Mission ◽  
Structural Features ◽  
Central Eastern Desert ◽  
Structural Density ◽  
Predictive Map ◽  
Central Eastern

<p>This article explored mineral resources and their relation to structural settings in the Central Eastern Desert (CED) of Egypt. Integration of remote sensing (RS) with aeromagnetic (AMG) data was conducted to generate a mineral predictive map.  Several image transformation and enhancement techniques were performed to Landsat Operational Land Imager (OLI) and Shuttle Radar Topography Mission (SRTM) data. Using band ratios and oriented principal component analysis (PCA) on OLI data allowed delineating hydrothermal alteration zones (HAZs) and highlighted structural discontinuity. Moreover, processing of the AMG using Standard Euler deconvolution and residual magnetic anomalies successfully revealed the subsurface structural features. Zones of hydrothermal alteration and surface/subsurface geologic structural density maps were combined through GIS technique. The results showed a mineral predictive map that ranked from very low to very high probability. Field validation allowed verifying the prepared map and revealed several mineralized sites including talc, talc-schist, gold mines and quartz veins associated with hematite. Overall, integration of RS and AMG data are powerful techniques in revealing areas of potential mineralization involved with hydrothermal processes.      </p>

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