Paper
8 June 2012 The application of GIS in identifying mineral resources in Libya
Soliman Rekhibi, Monira Wadi, Ali Said
Author Affiliations +
Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83341T (2012) https://doi.org/10.1117/12.949903
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
Abstract
In any country, natural mineral resources are considered the back-bone for the development of the industry and the country's economical growth. Exploration and mining for mineral ores and manufacturing and marketing these ores will add value to the country's national income. Geographic Information Systems (GIS) technology has an advantage over other information systems because it combines the conventional query operations with the ability to display and analyze spatial data from maps, satellite imagery, and aerial photography. Knowing the importance of mineral ores as a pilar of the economy this paper concentrates on mineral resources in Libya. Geographic information systems (GIS) was used for identifying mineral resources in Libya. Geodatabases were designed and all available information were stored in these geodatabases. The information was collected from scientific researchers, and geological and mining studies. The database also, included the Libyan international boundaries, the administrative boundaries and the oil and gas fields and pipelines, and such maps as geophysical and geological maps. Thus a comprehensive database was created containing all the information available concerning mineral resources in Libya.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Soliman Rekhibi, Monira Wadi, and Ali Said "The application of GIS in identifying mineral resources in Libya", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341T (8 June 2012); https://doi.org/10.1117/12.949903
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KEYWORDS
Minerals

Geographic information systems

Databases

Data modeling

Mining

Data conversion

Earth observing sensors

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