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
  • Vocational School Of Information Technologies
  • Department Of Architecture And Urban Planning
  • Remote Sensing And Geographic Information Systems Programı
  • Course Structure Diagram with Credits
  • Remote Sensing
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title UCS2001 - Remote Sensing
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 1+2
ECTS 3.0
Course Instructor(s) ARAŞTIRMA GÖREVLİSİ MEHMET ÖZÇETİN
Mode of Delivery Face to Face
Prerequisites
Courses Recomended
Required or Recommended Resources
Recommended Reading List
Assessment methods and criteria
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Basic concepts in remote sensing, history of remote sensing, application areas of remote sensing
Week - 2 Electromagnetic energy Electromagnetic spectrum Interaction of electromagnetic radiation with the atmosphere Interaction of electromagnetic radiation with earth objects Spectral properties of vegetation, soil and water
Week - 3 Sensing Types, Sensor Systems and Sensing Platforms in Remote Sensing
Week - 4 Thermal Remote Sensing
Week - 5 Microwave Remote Sensing
Week - 6 Digital image, Spatial resolution, Spectral resolution Radiometric resolution Temporal resolution
Week - 7 Image processing, Rayometric correction, Geometric Correction
Week - 8 Image enhancement, spectral transformations
Week - 9 Image enhancement, spatial transformations
Week - 10 Classification, controlled and uncontrolled classification
Week - 11 Downloading satellite images, opening images, band merging, image cutting
Week - 12 Three Dimensional Analysis and Modeling Applications, Topographic Analysis Applications
Week - 13 Image Processing and Accuracy Analysis Applications
Week - 14 Vegetation Identification Applications

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Team/Group Work
  • Demonstration
  • Drill - Practise
  • Competences
  • Productive
  • Rational
  • Creative
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management

Assessment Methods

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