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Accueil du site → Master → Soudan → Using Remote Sensing Investigation, GIS Application and Geostatistics Analysis for Geological Mapping and Mineral Prospecting around Shulai Area, Red Sea State, Sudan.

Al Neelian University (2020)

Using Remote Sensing Investigation, GIS Application and Geostatistics Analysis for Geological Mapping and Mineral Prospecting around Shulai Area, Red Sea State, Sudan.

Hassan Khogali Elameen

Titre : Using Remote Sensing Investigation, GIS Application and Geostatistics Analysis for Geological Mapping and Mineral Prospecting around Shulai Area, Red Sea State, Sudan.

Auteur Hassan Khogali Elameen

Université de soutenance : Al Neelian University

Grade : Master 2020

Résumé partiel
This study was carried out in the northeastern part of Block 11, Ariab mining company (AMC) concession, western part of Red Sea Hills in the Red Sea State of northeast Sudan. The study area is bounded by latitudes 18⁰59′47.798" - 19⁰24′ 55.378"N and longitudes 36⁰31′16.311"- 36⁰01′ 3.895"E. The study aimed to conduct geological mapping at the scale of 1:100 000 and mineral prospecting using remote sensing and GIS authenticated by field work. The study revealed that the area under consideration consists of a multi-deformed and poly-metamorphosed basement complex terrain, which belongs to the Nubian shield. The oldest rock units of basement complex, consists of basic meta-volcanics and meta-sediments, which were intruded by the syn to late un-orogenic granitic intrusions. The basement complex units are overlain by alluvial, superficial deposits. Different digital image processing techniques were applied on the multispectral data of Landsat 8. The spectral enhancement of various color composite images help the visual interpretation in geological context. Image transformations through decorrelation stretching, principal component transformation (PCA) and Sultan Ratio image are the main techniques adopted for geological mapping. The color composite image of bands 7, 5 and 2 in RGB sharpened with the panchromatic band yielded an overall good lithologic discrimination than other images. Moreover, interpolation of the elements in stream samples has been taken place to see the distribution of these elements in the study area which help to identify the different geological units. The production of Geological map of Shulai area was based on Landsat 8 images processing, stream samples data and interpretation with limited field survey, The SRTM raster data was used for generating the streams. Lineaments has been digitized from PC1 image after doing high-pass spatial filtering. The dominant lineament trends are the N-NW – S-SE (340°) trend, which corresponds to Oko shear zone, the other trend is NE – SW (65°) trend, which corresponds to Nakaseib suture zone. Using Landsat 8 OLI images, band ratioing and the Feature Oriented Principal Components transformations (FOPCT) were applied to produce Sabin, Abram and Crosta colored composite images, respectively. These images are used to detect the presence of alteration zones related to the mineralization in the study area. The ASTER semi hyperspectral data have been treated by two methods, the first is to obtain the mineral indices images that revealed the wide distribution of indicator minerals in the study area as they are found in original rock or detected as alteration zones.

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Page publiée le 14 janvier 2022