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
  • Graduate School of Sciences
  • Remote Sensing and Geographical Information Syst.
  • Program in Remote Sensing and Geographical Inform (Distance Learning)
  • Course Structure Diagram with Credits
  • Introduction to Google Earth Engine
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title UCS584 - Introduction to Google Earth Engine
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) GORDANA KAPLAN
Mode of Delivery Online
Prerequisites There are no prerequisites for this class.
Courses Recomended UCS555 Introduction to Remote Sensing
Required or Recommended Resources REMOTE SENSING F. SUNAR, A. ÇABUK, R. KÜPÇÜ, A. TEKGÜL
Recommended Reading List REMOTE SENSING F. SUNAR, A. ÇABUK, R. KÜPÇÜ, A. TEKGÜL
Assessment methods and criteria 3 Homework, 1 Project, 1 Final
Work Placement No
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to remote sensing
Week - 2 Introduction to Google Earth Engine
Week - 3 Image visualization in Google Earth Engine
Week - 4 Google Earth Engine satellite imagery metadata
Week - 5 Basic index calculations in Google Earth Engine
Week - 6 Google Earth Engine satellite image collection
Week - 7 Google Earth Engine feature/vector manipulations
Week - 8 Google Earth Engine time series
Week - 9 Google Earth Engine Digital Image Processing
Week - 10 Google Earth Engine image classification
Week - 11 Google Earth Engine data and results export
Week - 12 Application
Week - 13 Application
Week - 14 Application

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Observation
  • Demonstration
  • Drill - Practise
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Competences
  • Productive
  • Questoning
  • Entrepreneur
  • Creative
  • Effective use of a foreign language
  • Problem solving
  • Information Management
  • Organization and planning
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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