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Course Information
Course Unit Title : Satelite images used in geology and their spectral analysis
Course Unit Code : 01JEO5174
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : Preb
Semester : 255.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants :
Learning Outcomes of The Course Unit : Learning image satelites used in geology
Learning resolution properties of satelite images
Learning best satelite image type selection for purpose
Learning spectral properties of satelite images
Learning spectral analysis of satelite images
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Resolution properties of satelite images used in geology, image selection for purpose, spectral properties of choosed image and spectral analysis for different purposes
Languages of Instruction : Turkish-English
Course Goals : Teaching image satelites used in geology
Teaching resolution properties of satelite images
Teaching best satelite image type selection for purpose
Teaching spectral properties of satelite images
Teaching spectral analysis of satelite images
Course Aims : Learning geological aimed spectral analysis of satelite images
WorkPlacement  
Recommended or Required Reading
Textbook : Varun Madhok, David Landgrebe, 1999, Spectral-Spatial Analysis of Remote Sensing Data: An Image Model and A Procedural Design, SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING PURDUE UNIVERSITY WEST LAFAYETTE, INDIANA 47907-1285
Additional Resources : V. Barrile, G. Bilotta, 2008 AN APPLICATION OF REMOTE SENSING: OBJECT-ORIENTED ANALYSIS OF SATELLITE DATA,The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B8. Beijing 2008

G. Waldhoff,O. Bubenzer, A. Bolten, W. Koppe, G. Bareth, 2008, SPECTRAL ANALYSIS OF ASTER, HYPERION, AND QUICKBIRD DATA FOR GEOMORPHOLOGICAL AND GEOLOGICAL ESEARCH IN EGYPT (DAKHLA OASIS, WESTERN DESERT), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B8. Beijing 2008

An Introduction & Reference For MultiSpec, David Landgrebe and Larry Biehl, School of Electrical and Computer Engineering Purdue University


Gary A. Shaw and Hsiao-hua K. Burke, 2003, Spectral Imaging for Remote Sensing, VOLUME 14, NUMBER 1, LINCOLN LABORATORY JOURNAL

https://engineering.purdue.edu/~biehl/MultiSpec/documentation.html
http://publiclab.org/wiki/spectral-analysis
http://asterweb.jpl.nasa.gov/
http://landsat.usgs.gov/
Material Sharing
Documents :
Assignments :
Exams :
Additional Material :
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 3 42  
Time Of Studying Out Of Class :
14 2 28  
Homeworks :
2 5 10  
Presentation :
0 0 0  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 1 1  
Finals :
1 1 1  
Workload Hour (30) :
30  
Total Work Charge / Hour :
0  
Course's ECTS Credit :
0      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 40
Quiz :
0 0
Homework :
1 10
Attendance :
0 0
Application :
5 50
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
40
The ratio of final to success :
60
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Image satelites can be used in geology and their properties
  Study Materials: Course notes and references
2 Resolution properties of satelite images
  Study Materials: Course notes and references
3 Detailed spectral resolution and spectral properties
  Study Materials: Course notes and references
4 Analysis softwares
  Study Materials: Course notes and references
5 Spectral analysis methods
  Study Materials: Course notes and references
6 Spectral analysis for vegetation
  Study Materials: Course notes and references
7 Spectral analysis for water - Mid exam.
  Study Materials: Course notes and references
8 Spectral analysis for soil
  Study Materials: Course notes and references
9 Spectral analysis for rocks
  Study Materials: Course notes and references
10 Spectral analysis for human buildings
  Study Materials: Course notes and references
11 Classification types and processes
  Study Materials: Course notes and references
12 Unsupervised classification applications
  Study Materials: Course notes and references
13 Supervised classification applicatio
  Study Materials: Course notes and references
14 Overall evalution - Final exam
  Study Materials: Course notes and references
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