Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
9201115032005Basic Principles Of Remote SensingCompulsory118
Level of Course Unit
Second Cycle
Objectives of the Course
General aim of the lesson is teaching the advanced technologies in remote sensing techniques, geographical information system and the stage of collecting and interpreting data
Name of Lecturer(s)
Prof.Dr. Yusuf KURUCU
Learning Outcomes
1Students will have experiences about building a database according to geographical information system rules using the data produced by remote sensing and existing data.
2Students will be achieve the ability to use the satellite image and aerial photograph.
3On completion of this course students will be able to determine of the natural and agricultural plant cover and soil properties by using active and passive imaging technique,
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Definition of remote sensing, remote sensing systems, resolution, fundamental image processing, image classification
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1The basic principles of remote sensing techniquesLecture
2Definition of satellite in remote sensingLecture
3Definition of the soil properties and plant cover in aerial photographsLecture
4Relationship between the object and reflection of pixel value, define the satellite image and agricultural plant cover (vegetation)Lecture
5Resolution in imagesLecture
6Basic steps of image processingLecture
7Midterm Exam
8Preparation of the digital base maps Lecture + Practise
9ClassificationLecture + Practise
10Raster rectification Lecture + Practise
11NDVILecture + Practise
12Active Remote sensingLecture + Practise
13Practise IPractise
14Practise IIPractise
15Practise IIIPractise
16Final Exam
Recommended or Required Reading
Kurucu, Y. 2001. Lecturer notes on RS and GIS. 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. Shrestha. D.P., 1991. Digital Image Processing of Remote Sensing Data. International Institute For Aerospace and Sciences. 1945 Blv., Enschede, Holland. 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.
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 Examination144
Final Examination144
Attending Lectures11444
Practice8648
Self Study12560
Individual Study for Mid term Examination4416
Individual Study for Final Examination4416
Reading6424
Homework6424
TOTAL WORKLOAD (hours)240
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
PO
11
PO
12
PO
13
PO
14
LO1              
LO2              
LO3              
* 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