Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
9102125291999The Techniques of Remote SensingElective118
Level of Course Unit
Second Cycle
Objectives of the Course
General aim of the lesson is teaching the advanced technologies in remote sensing techniques, the stage of collecting and interpreting data, teaching how to use satellite images and aerial photographs.
Name of Lecturer(s)
Depertment Lecturers
Learning Outcomes
1Teaching Basic satellite image process and interpretation of aerial photos to gather data
2Methods of band ratio
3Achieve to have ability of object recognizing and describing on satellite images and aerial photos and mapping
4Teaching basic principles of Remote Sensing and Geographical Information System, and examples of present projects
5Image classification
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Object determination and mapping in high accuracy at wide lands in by remotely sensed data and building digital data layers according to GIS rules to gain new data by applying query models.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1The basic principles of remote sensing techniquesIntroduction of software
2 Presentation of the satellites used in remote sensingOpen image
3Recognizing soil properties and plant covers on aerial photos and satellite images Image composition
4Determination of the land areas and supply of the cartografic materials Image extraction
5Resolution properties of imagesImage analysis
6Basic image processImage analysis
7Midterm exam
8Preparation of the digital base maps and stage of basic image processing Filtering applications
9Preparing basic digital mapImage enchancement applications
10Image ClassificationImage classification
11Principles of georectification Georectification application
12Principles of NDVI NDVI application
13Active remote sensingPractice exam
14Final exam
15
16
Recommended or Required Reading
. Kurucu, Y. 2001. Lecturer notes on RS and GIS. 2. Lillesand. M. T. And Kiefer W.R.. 1999. Remote sensing and Image Interpretation.University of Wisconsin. Madison., 4th ed. ISBN 0-471-25515-7 , john Wiley & Sons, inc. NY. 3. Fundamentals of Remote Sensing, Canada Centre for Remote Sensing 4. Shrestha. D.P., 1991. Digital Image Processing of Remote Sensing Data. International Institute For Aerospace and Sciences. 1945 Blv., Enschede, Holland. 5. Buiten. J.H. and Clevers J.G.P., 1993. Land Observation By Remote Sensing. Wageningen Agricultural Faculty, Holland. Gordon and Breach Science Publishers S.A. 6. Worboys M.F., 1995. GIS : A Computing Perspective. Department of Computer Science, Universty of Keele, Keele, UK. Taylor and Francis Ltd.1 Gunpowder Square, London EC4A 3DE. UK.
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14228
Practice12672
Discussion616
Team/Group Work313
Seminar8432
Self Study10330
Individual Study for Mid term Examination8324
Individual Study for Final Examination8324
Laboratory Examination122
TOTAL WORKLOAD (hours)225
Contribution of Learning Outcomes to Programme Outcomes
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1
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7
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9
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10
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11
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12
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13
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14
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15
PO
16
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17
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18
PO
19
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LO5                   
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr