Graduate
Institute of Graduate Studies
Geomatics (without thesis)
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Remote Sensing

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
İMSY 0112 Remote Sensing 3/0/0 DE English 9
Course Goals
One of the most important components of Remote sensing sciences is digital process of satellite data from source to application. In this lecture, how does satellite data get from source via digital methods will explain. Processing digital data, processing systems and application will transfer. 
Prerequisite(s) None
Corequisite(s) None
Special Requisite(s) None
Instructor(s) Professor Cem GAZİOĞLU
Course Assistant(s) None
Schedule Will be announced at the beginning of semester
Office Hour(s) Will be announced at the beginning of semester
Teaching Methods and Techniques -Lecture,discussion
Principle Sources -ESRİ AŞ. Program yardım kitapları
Other Sources -Thomas L. LILLESAND, T.L. and KIEFER, R.W., 1994. Remote Sensing and Image Interpretation. third edition, Wiley
Sesören A., 1998. Uzaktan Algılamada temel kavramlar, İstanbul
Örmeci C., 1987. Uzaktan Algılama. İTÜ, sayı:1345, İstanbul
Örmeci C., 8 Fotojeoloji. İTÜ, sayı:1345, İstanbul

 
Course Schedules
Week Contents Learning Methods
1. Week Introduction Oral presentation
2. Week Electromagnetic spectrum, Band of EM, Atmospheric windows. Oral presentation
3. Week Systems of data processing, and procedures Oral presentation
4. Week Acquire of data, Equipment and radiation of Remote sensing, Pattern recognize, Models of data processing systems. Oral presentation
5. Week Satellite systems Oral presentation
6. Week Active Satellite systems, Passive Satellite systems, Very high resolution satellite systems and data. Oral presentation
7. Week Biological and physical features of analysis techniques application. Oral presentation
8. Week Application of quantitative techniques Oral presentation
9. Week Midterm exam Midterm exam
10. Week Classification, Unsupervised classification Oral presentation
11. Week Supervised classification Oral presentation
12. Week Application Oral presentation,Case Study
13. Week Application Oral presentation,Case Study
14. Week Exam Exam
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 30
Final Exam 1 70


Program Outcomes
PO-1Develop and deepen knowledge in the field of Geomatics Engineering.
PO-2Conceive the interdisciplinary interaction which the field of Geomatics Engineering is related with.
PO-3Use of theoretical and practical knowledge within the field of Geomatics Engineering at a proficiency level.
PO-4Interpret the knowledge about the field of Geomatics Engineering by integrating the information gathered from different disciplines and formulate new knowledge.
PO-5Solve the problem faced related to the field of Geomatics Engineering by using research methods.
PO-6Independently conduct studies that require proficiency in the field of Geomatics Engineering
PO-7Take responsibility and develop new strategic solutions as a team member in order to solve unexpected complex problems faced within the applications in the field of Geomatics Engineering.
PO-8Demonstrate leadership in contexts that require solving problems related to the field of Geomatics Engineering.
PO-9Evaluate knowledge and skills acquired at proficiency level in the field of Geomatics Engineering with a critical approach and direct the learning.
PO-10Communicate current developments and studies within the field of Geomatics Engineering to both professional and non-professional groups systematically using written, oral and visual techniques by supporting with quantitative and qualitative data.
PO-11Investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary.
PO-12Communicate with peers by using a foreign language at least at a level of European Language Portfolio B2 General Level.
PO-13Use advanced informatics and communication technology skills with software knowledge required by the field of Geomatics Engineering.
PO-14Audit the data gathering, interpretation, implementation and announcement stages by taking into consideration the cultural, scientific, and ethical values and teach these values.
PO-15Develop strategy, policy and implementation plans on the issues related to the field and assess the findings within the frame of quality processes.
PO-16Use the knowledge, problem solving and/or implementation skills in interdisciplinary studies.
Learning Outcomes
LO-11.What is Remote Sensing? Principles.
LO-22.Electromagnetic spectrum
LO-33.Satellite data and their features
LO-44.Analysis via images by satellites.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13PO 14PO 15PO 16
LO 1
LO 2
LO 3
LO 4