Mineral detection based on remote sensing techniques
Dissertant
Thesis advisor
al-Sinnari, Adil Muhammad Ahmad
Comitee Members
al-Junayd, Ammar Babikir Mahmud
Bilal, Khalid Hamid
University
Omdurman Islamic University
Faculty
Faculty of Sciences and Technology
Department
Department of Information Systems
University Country
Sudan
Degree
Master
Degree Date
2009
English Abstract
The main objective of this study is to evaluate the potentiality of multispectral remotely sensed data for mineral detection in Sudan.
This includes examining digital image processing techniques for mineral detection over large areas like Sudan.
The study was conducted at Aklabilli area of Red Sea Hills, at north eastern Sudan.
The area is situated 140 Kms north of Port Sudan town and 20 Kms west of Mohamed Qol village. Geologically the area comprises three main rock constituents.
This including granites as dominant rock type, volcanosedimentary, and coastal sediments.
Granites are representing outer layer surrounding volcanosedimentary rocks in the west and coastal sediments to the east In order to achieve the objectives of this study, image enhancement and classification techniques were applied to both satellite image and the image map of the study area.
Histogram and statistical analysis were used to assess the potentionality of remote sensing data and digital image processing techniques for mineral detection.
Ground truth checks were carried out to verify the analysis results. Spectral landsat7 images acquired in 2000 as well as analog maps (geological and topographic maps at scale 1 : 100,000 produced by GRAS Sudan in 2009 and Sudan survey department 1979, respectively) are used as data sources.
Rock sample were collected from field where a GPS receiver was used to allocate these samples as well as to observe ground control points for Georeferencing the test data.
The study comes to the conclusion that the statistical analysis showed that most of the minerals were discriminated with reasonable residual values. The ratioing techniques based on the combination of 3 / 1, 5 / 4 and 5 / 7 produced prespective classified image for mineral detection.
The visual interpretation investigation showed that most of the mineral type studied in this test was interpretable in both classified images generated from spectral bands and from the line map.
Both false colour composite generated in this study (3 / 1, 5 / 4, 5 / 7) ratioing and RGB543 were able to discriminate alteration areas from other mineral types.
Main Subjects
Topics
No. of Pages
66
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Mineral detection and exploration.
Chapter Three : Remote sensing and digitaiImage Processing.
Chapter Four : Methodology.
Chapter Five : Results and analysis.
Chapter Six : Conclusion and recommendations.
References.
American Psychological Association (APA)
Nasur, Radwan Ahmad Muhammad. (2009). Mineral detection based on remote sensing techniques. (Master's theses Theses and Dissertations Master). Omdurman Islamic University, Sudan
https://search.emarefa.net/detail/BIM-364208
Modern Language Association (MLA)
Nasur, Radwan Ahmad Muhammad. Mineral detection based on remote sensing techniques. (Master's theses Theses and Dissertations Master). Omdurman Islamic University. (2009).
https://search.emarefa.net/detail/BIM-364208
American Medical Association (AMA)
Nasur, Radwan Ahmad Muhammad. (2009). Mineral detection based on remote sensing techniques. (Master's theses Theses and Dissertations Master). Omdurman Islamic University, Sudan
https://search.emarefa.net/detail/BIM-364208
Language
English
Data Type
Arab Theses
Record ID
BIM-364208
