Course Information

Course Name	Turkish	Maden Aramalarında Uzaktan Algılama Yöntemlerinin Kullanımı
	English	Using of Remote Sensing Methods in Mining Research
Course Code	JEO 593	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		Turkish
Course Coordinator		Mustafa Kumral Muhittin Karaman
Course Objectives		1. To provide basic information about Remote Sensing and next generation remote sensing technologies in mining surveys 2. Make a general assessment of traditional mining research methods and compare them with satellite technology 3. Improvement of the ability to use image processing techniques that discriminate minerals specific to economic deposits according to their spectral properties 4. To create awareness of the different use characteristics of the multispectral, hyperspectral and thermal images in mine searches 5. Deciding on the satellite image and remote sensing method to be used according to the type of mine and giving application skill
Course Description		Determination of economic deposits in mineral exploration Remote sensing methods to be used in the processing of satellite / airborne / drone based Multi-hyperspectral-TIR images Spectral properties of minerals specific to economic mineral deposits Image processing techniques that distinguish minerals unique to economic mineral deposits
Course Outcomes		M.Sc./Ph.D. students who successfully pass this course gain knowledge, skill and competency in the following subjects; 1. To have mastered the remote sensing technologies used in mining researches 2. To be able to compare the advantages of satellite technologies compared to traditional mining research methods 3. To have skills in digital image processing techniques for data production from remote sensing technologies used in mining researches 4. To construct new spectral library related to ore formations in new mineral research area and to apply remote sensing techniques that can distinguish it 5. To be able to identify the multispectral, hyperspectral and thermal images that can reveal the type of mineralization in the new mineral research area and interpret the results obtained from multispectral, hyperspectral and thermal images together 6. Determination of sampling points for geochemical prospecting and drilling points for potential mineralization according to satellite image analysis results 7. Mapping of mineralization area, lithological discrimination and mapping of unit boundaries
Pre-requisite(s)
Required Facilities
Other
Textbook
Other References		1. Roonwal, G. S. (2018). Remote Sensing in Mineral Exploration. In Mineral Exploration: Practical Application (pp. 119-153). Springer, Singapore. 2. Roonwal, G. S. (2018). Mineral Exploration: Practical Application. Springer. 3. Gupta, R. P. (2017). Remote sensing geology. Springer. 4. Gandhi, S. M., & Sarkar, B. C. (2016). Essentials of Mineral Exploration and Evaluation. Elsevier. 5. Govil, H. (2015). Hyperspectral Remote Sensing Application in Mineral Exploration, Omniscriptum Gmbh & Company Kg.

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