Using of Remote Sensing and Aeromagnetic Data for Predicting Potential Areas of Hydrothermal Mineral Deposits in the Central Eastern Desert of Egypt

Journal Title: Remote Sensing - Year 2018, Vol 7, Issue 1

Abstract

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/subsurfacegeologic 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.

Authors and Affiliations

Mohamed Abdelkareem, Abdelhady Akrby, Mousa Fakhry, Mohamed Mostafa

Keywords

Related Articles

Optical Remote Sensing Image defogging algorithm Based on dcm-htm

focusing on fog detection and correction of satellite remote sensing image, a defogging algorithm dcm-htm for R Emote sensing image is proposed by the combination of Dark channel map (DCM) and haze thickness map (HTM). B...

Heterogeneity Measure Based Segmentation performance Evaluation for Remote Sensing Image

In order to evaluate segmentation quality of high resolution remote sensing image, an un-supervised segmentatio N Evaluation method based on heterogeneity measure was proposed. Firstly, global variance and Weighted Moran...

Application of BS-GEP algorithm in Remote sensing Image classification

It is difficult for the Traditional statistical Remote sensing classification algorithm to get higher Classifica tion accuracy under the condition of complex state. To solve this problem, BS-GEP algorithm is introduced t...

Research and application of terrestrial agricultural remote sensing platform in energy crop biomass monitoring

based on the impact of the energy crisis , countries to actively promote renewable energy research , in this case , agriculture is back into people's view corner .i century quarter late end , Our country starts developin...

Application of remote sensing technology in Water Conservancy project construction

Remote Sensing technology is based on the electromagnetic wave theory , applied in sensing instruments , to collect and process radiation from long-range targets and anti- emitted electromagnetic Information , then imagi...

Download PDF file
  • EP ID EP680274
  • DOI -
  • Views 224
  • Downloads 0

How To Cite

Mohamed Abdelkareem, Abdelhady Akrby, Mousa Fakhry, Mohamed Mostafa (2018). Using of Remote Sensing and Aeromagnetic Data for Predicting Potential Areas of Hydrothermal Mineral Deposits in the Central Eastern Desert of Egypt. Remote Sensing, 7(1), -. https://europub.co.uk/articles/-A-680274