Uses of Geographic Information Systems and Remote Sensing to Study the Natural Resource Management of the Red Sea Governorate, Egypt

Shrouk Galal, Postgraduate student in Public Works Engineering Department, Faculty of Engineering, Mansoura UniversityFollow
Fawzi Hamid Zarzoura, Assistant professor of Public Works Engineering Department, Faculty of Engineering, Mansoura University
Mahmoud El-Mewafi, Public Works Engineering Department, Faculty of Engineering, Mansoura University, Egypt

Corresponding Author

Shrouk Hassan Galal

Article Type

Original Study

Abstract

The Red Sea governorate is rich in natural resources that create challenges for Egypt's future economy and growth. The right ways must be found to manage and discover these resources without wasting them. Remote sensing is one of the best methods used in the development of natural resources. It is based on measuring electromagnetic ray reflections from deep-seated or dispersed natural resources, and these images are processed uniquely for a variety of applications, including the detection of minerals, making land cover maps, shifting rocks, and monitoring of geological distortions. The altered rocks that existed in the study area were identified using recently developed sensors for earth observations, such as the Landsat 8 Operational Land Imager (OLI). The images have been processed using the band ratio technique and false color composite. The band ratios (red/blue, swir2/nir, swir1/nir) and spectral band combinations (Kaufmann ratio, Sabins ratio) have been used to accurately map hydrothermal alteration minerals. The OLI band ratios (6/7, 6/2, 4/5, and 6/5*4/5) have been applied to distinguish between some rocks (metavolcanic, metasedimentary, felsic, and granitic). The OLI (FCC) (6/7, 6/5, 4/2), (4/6, 4/2, 6/5), and (6/7, 4/2, 6/5*4/5) have been used to identify the minerals (Serpentine, talc-carbonate schist, quartz, and granodiorite). The methods used in this study are time, effort, and cost-saving. These methods are applicable to hard-to-reach areas. The results proved that combining spectral bands effectively identifies potential mineralization points through satellite data. Validation of these results using geological maps showed a good relationship with the location of minerals.

Keywords

remote sensing, landsat, supervised classification, mineral exploration, accuracy assessment, and band ratio

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Recommended Citation

Galal, Shrouk; Zarzoura, Fawzi Hamid; and El-Mewafi, Mahmoud (2023) "Uses of Geographic Information Systems and Remote Sensing to Study the Natural Resource Management of the Red Sea Governorate, Egypt," Mansoura Engineering Journal: Vol. 48 : Iss. 3 , Article 12.
Available at: https://doi.org/10.58491/2735-4202.3099

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