Information Package / Course Catalogue
Image Interpratation
Course Code: ZTO623
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

The aim of the course is to gain the ability to interpret images obtain from different image detection systems with visual and digital image analysis. Active and passive light sources, reflection characteristics, digital image analysis of image obtain from different detection systems and their use in agricultural areas

Course Content

To teach objectives of making soil maps, process and methodology of soil survey and mapping, principle of remote sensing; satellite images and their properties, interpretation by eye in remote sensing and data production, importance of digital image processing in remote sensing, interpretation of satellite image and evaluation in different fields subjects

Name of Lecturer(s)
Learning Outcomes
1.To describe the fundamentals of Remote sensing, digital data sources and areas of use.
2.To compute of remote sensing software
3.To define the remote sensing platforms and methods of obtaining data.
4.Able to compare different applications for agricultural purposes of Remote Sensing
5.To achieve basic satellite image process
Recommended or Required Reading
1.Remote Sensing and Image Interpratation, Seventh Editon, Publisher:Wiley, Lillesand, T.M., Kiefer, R. W., Chipman, J. W., 2015
2.Remote Sensing and Cognition, Human Factors in Image Interpratation, CRS Press, White, R.A, Çöltekin, A., Hoffman, R.R., 2018.
Weekly Detailed Course Contents
Week 1 - Theoretical
Energy Sources, Radiation Principles and Energy Interactions
Week 1 - Practice
Literature review
Week 2 - Theoretical
Visual Image Interpretation
Week 2 - Practice
Literature review
Week 3 - Theoretical
Principles of Photogrammetry
Week 3 - Practice
Literature review
Week 4 - Theoretical
Multispectral Sensing- Computer Applications
Week 4 - Practice
Literature review
Week 5 - Theoretical
Thermal Sensing- Computer Applications
Week 5 - Practice
Literature review
Week 6 - Theoretical
Hyperspectral Sensing- Computer Applications
Week 6 - Practice
Literature review
Week 7 - Theoretical
Active and Passive Remote Sensing- Computer Applications
Week 7 - Practice
Literature review
Week 8 - Theoretical
Active and Passive Remote Sensing- Computer Applications
Week 8 - Preparation Work
Presentation and discussion
Week 9 - Theoretical
Microwave Sensing- Computer Applications
Week 9 - Practice
Presentation and discussion
Week 10 - Theoretical
Lidar Sensing- Computer Applications
Week 10 - Practice
Presentation and discussion
Week 11 - Theoretical
Digital Image Analysis- Computer Applications
Week 11 - Practice
Presentation and discussion
Week 12 - Theoretical
Digital Image Analysis- Computer Applications
Week 12 - Practice
Presentation and discussion
Week 13 - Theoretical
Agricultural Applications in Remote Sensing- Computer Applications
Week 13 - Practice
Presentation and discussion
Week 14 - Theoretical
Land Use Planning in Remote Sensing- Computer Applications
Week 14 - Practice
Presentation and discussion
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Lecture - Practice142256
Assignment130030
Reading315045
Midterm Examination1516
Final Examination1617
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
OÇ-1
5
5
5
5
1
OÇ-2
5
5
5
5
1
OÇ-3
5
5
5
5
1
OÇ-4
5
5
5
5
1
OÇ-5
5
5
5
5
1
Adnan Menderes University - Information Package / Course Catalogue
2026