Research Article Open Access

Geologic Mapping of United Arab Emirates using Multispectral Remotely Sensed Data

Maged Marghany1, Shattri Mansor1 and Mazlan Hashim1
  • 1 ,
American Journal of Engineering and Applied Sciences
Volume 2 No. 2, 2009, 476-480

DOI: https://doi.org/10.3844/ajeassp.2009.476.480

Submitted On: 13 November 2008 Published On: 30 June 2009

How to Cite: Marghany, M., Mansor, S. & Hashim, M. (2009). Geologic Mapping of United Arab Emirates using Multispectral Remotely Sensed Data . American Journal of Engineering and Applied Sciences, 2(2), 476-480. https://doi.org/10.3844/ajeassp.2009.476.480

Abstract

Problem statement: Geological studies are requiring standard methods and procedures to acquire precisely information. However, traditional methods might be difficult to use due to highly earth complex topography. Regarding the previous prospective, the advantage of satellite remote sensing in its application to geology is the wide coverage over the area of interest, where much accurate and useful information such as structural patterns and spectral features can be extracted from the imagery. Yet, abundance of geological features are not be fully understood. Lineaments are considered the bulk geological features which are still unclear in spite of they are useful for geological analysis in oil exploration. In this sense, the lineament extraction is very important for the application of remote sensing to geology. However the real meaning of lineament is still vague. Lineaments should be discriminated from other line features that are not due to geological structures. In this context, the lineament extraction should be carefully interpreted by geologists. Recent research was presented the mapping of geological features in the United Arab Emirates (UAE) using multispectral remotely sensed data. Approach: In doing so, image enhancement contrast, stretching and linear enhancement was performed to acquire an excellent visualization. Further, automatic detection algorithm of Canny was performed to extract linear features in multispectral remote sensing data, lineaments and fractures. Results: Uncertainties DEM model was performed by using fuzzy B-spline algorithm to map spatial lineament variations in a Three Dimensional (3D) visualization. Conclusion: In conclusion, an excellent tool for 3D geological features mapping can be established by integration of the canny algorithm with DEM which was generated by using fuzzy B-spline.

  • 1,331 Views
  • 2,615 Downloads
  • 4 Citations

Download

Keywords

  • Lineament
  • 3D visualizations
  • DEM
  • multispectral remotely sensed data