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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
REMOTE SENSING SYSTEMS SEY502 - 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)Assistant Professor Mehmet Dikmen
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Know the fundamental concepts of remote sensing
2) Know the data acquisition alternatives of remote sensing
3) Know the sensing principles of different electromagnetic spectrum parts such as visible, thermal and microwave.
4) Perform the digital analysis of remotely sensed images.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONConcepts and foundations of remote sensing, Remote sensing data acquisition alternatives, Electromagnetic spectrum, Photographic systems, Thermal and multispectral sensing, Spaceborne optical sensors, Analyzing remotely sensed data, Microwave (radar) sensing.
COURSE CONTENTS
WEEKTOPICS
1st Week Concepts and foundations of remote sensing.
2nd Week Remote sensing data acquisition alternatives.
3rd Week Remote sensing data acquisition alternatives.
4th Week Electromagnetic spectrum.
5th Week Electromagnetic spectrum.
6th Week Photographic systems.
7th Week Photographic systems.
8th Week Mid-term
9th Week Thermal and multispectral sensing.
10th Week Thermal and multispectral sensing.
11th Week Spaceborne optical sensors.
12th Week Spaceborne optical sensors.
13th Week Analyzing remotely sensed data.
14th Week Microwave (radar) sensing.
RECOMENDED OR REQUIRED READING1. Lillesand, T., Kiefer, R.W., & Chipman, J., "Remote Sensing and Image Interpretation", 6th edition, Wiley, (2007).
2. Campbell, J.B., & Wynne, R.H., "Introduction to Remote Sensing", 5th edition, The Guilford Press, (2011).
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Questions/Answers,Problem Solving,Project,Report Preparation,Presentation
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Assignment115
Project115
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam122
Preparation for Quiz
Individual or group work14684
Preparation for Final exam18080
Course hours14342
Preparation for Midterm exam15858
Laboratory (including preparation)
Final exam122
Homework13030
Project11010
Total Workload308
Total Workload / 3010,26
ECTS Credits of the Course10
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

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