Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Institute of Graduate Programmes
  • Remote Sensing and Geographical Information Syst.
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Radar Remote Sensing
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title UCS5502 - Radar Remote Sensing
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ RESUL ÇÖMERT
Mode of Delivery face to face
Prerequisites There is no prerequisite for this course.
Courses Recomended There are no recommended courses.
Required or Recommended Resources Recommended sources;Hanssen, R. F. (2001). Radar interferometry: data interpretation and error analysis. Dordrecht: Springer Netherlands.Metcalfe, J., Ellul, C., Morley, J., & Stoter, J. (2024). Characterizing the Role of Geospatial Science in Digital Twins. ISPRS International Journal of Geo-Information, 13(9), Article 320. https://doi.org/10.3390/ijgi13090320
Recommended Reading List Ferretti, A., Monti-Guarnieri, A., Prati, C., Rocca, F. — InSAR Principles: Guidelines for SAR Interferometry Processing and Interpretation
Assessment methods and criteria 1 mid-term exam - 1 Final
Work Placement None
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Remote sensing and EM wave theory
Week - 2 Radar systems and frequency bands
Week - 3 Radar satellite systems and data sources
Week - 4 SAR principles and resolution
Week - 5 SAR image formation and speckle
Week - 6 Backscatter analysis
Week - 7 Land cover classification
Week - 8 PolSAR fundamentals
Week - 9 PolSAR decomposition and classification
Week - 10 InSAR: phase, coherence, baseline
Week - 11 InSAR processing: phase unwrapping, DEM generation
Week - 12 DInSAR for surface deformation monitoring
Week - 13 Overview of InSAR time series methods: PSI and SBAS
Week - 14 Applications: disaster, agriculture, urban monitoring

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Demonstration
  • Drill - Practise
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Competences
  • Productive
  • True to core values
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Civic awareness
  • Effective use of a foreign language
  • Work in teams
  • Use time effectively
  • Respect differences
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Concern for quality
  • Information Management
  • To work autonomously
  • Organization and planning
  • Elementary computing skills
  • Decision making
  • To work in interdisciplinary projects

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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