Information Package / Course Catalogue
Introduction to Remote Sensing
Course Code: BSM415
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

To gain knowledge and skills about the principles of Remote Sensing (RS), tools used in RS, software and digital data, RS application areas, RS applications in agriculture and natural resources monitoring.

Course Content

Basic principles of remote sensing, usage areas, space platforms used in UA, satellite images, applications of UA in agriculture

Name of Lecturer(s)
Learning Outcomes
1.To describe the definition of RS, basic principles and elements of RS, areas of general and agricultural use of RS.
2.To define the properties of remote sensing hardware and software commonly used in Turkey and in the World.
3.To define the basic elements of RS, digital data sources and methods of obtaining data.
4.To interpret the basic RS techniques used for monitoring natural resources such as soil, water and forest.
5.To follow the innovations on RS applications for monitoring, protecting and developing natural resources in Turkey and in the World.
Recommended or Required Reading
1.Sesören, A., 1999. Uzaktan Algılamada Temel Kavramlar. Mart Matbaacılık, İstanbul.
2.Lillesand, T.M., Kiefer, R.W., 2000. Remote Sensing and Image Intrpretation. Fourth Ed. John. Wiley and Sons, Inc., New York, 710 pp.
3.Aronoff, S. 2005. Remote Sensing for GIS Managers. ESRI press, Redlands, California, USA. 487p.
4.Buiten , H.J., Clevers J.G.P.W., 1993. Land Observation By Remote Sensing Theory and Applications. Wageningen Agricultural Uni. The Netherlands. Gordon and Breach Sience Publishers.
5.Shresta, D.P., 1991. An Introduction to Remote Sensing From Space. ITC, International Institute for Aerospace Survey and Earth Sciences
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction
Week 2 - Theoretical
Remote Sensing Application Areas
Week 3 - Theoretical
Basic principles of remote sensing
Week 4 - Theoretical
Electromagnetic Radiation
Week 5 - Theoretical
Image and Digital Image Processing
Week 6 - Theoretical
Space Platforms Used in Remote Sensing
Week 7 - Theoretical
Space Platforms Used in Remote Sensing
Week 8 - Theoretical
Space Platforms Used in Remote Sensing
Week 9 - Theoretical
Satellite Images (Midterm Exam)
Week 10 - Theoretical
Image processing
Week 11 - Theoretical
Classification, Pixelization
Week 12 - Theoretical
Applications of Remote Sensing in Agriculture
Week 13 - Theoretical
Remote Sensing and Soils
Week 14 - Theoretical
Mapping Soils with Remote Sensing Techniques
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Assignment3%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1453112
Assignment3116
Midterm Examination1213
Final Examination1314
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
4
3
2
3
2
1
2
1
2
4
OÇ-2
3
4
2
5
3
1
2
3
1
2
3
OÇ-3
4
5
2
5
4
1
2
2
3
OÇ-4
5
5
3
5
5
1
2
3
5
OÇ-5
4
4
2
4
3
1
3
2
5
Adnan Menderes University - Information Package / Course Catalogue
2026