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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Introduction To Remote Sensing JLJ436 Elective Bachelor's degree 4 Spring 5

Name of Lecturer(s)

Associate Prof. Dr. Aziz ÖZYAVAŞ

Learning Outcomes of the Course Unit

1) Comprehend the basic knowledge about Remote Sensing
2) Apply methods to process and classify remotly sensed data
3) Comprehend the fields of applications of remote sensing in geosciences
4) Evaluate the principles of electromagnetic radiation
5) Determine how different objects on the Earth's surface reflect and absorb electromagnetic energy

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Learning Outcomes
1 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation Middle No relation Middle Middle No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation Middle Middle No relation No relation
3 Middle Middle No relation Middle High Middle Middle Middle Middle Middle Low Middle High High Middle Middle High No relation
4 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation Low No relation Middle Middle No relation No relation
5 Middle Middle No relation Low No relation Low No relation No relation No relation No relation No relation No relation No relation No relation Low Middle No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

There is no

Course Contents

This course covers the definition of remote sensing, development of remote sensing, relation with other disciplines, basic concepts in remote sensing, data types and formats, data processing and classification, general application areas, application areas in geology, air photos (components and processing steps), geological interpretations of air photos.

Weekly Schedule

1) Introduction and history of remote sensing
2) Electromagnetic radiations and energy interaction in the atmosphere
3) Pixels, spatial, radiometric and spectral resolution
4) Aerial photograph, color science
5) Multispectral remote sensing and image processing (1)
6) Multispectral remote sensing and image processing (2)
7) Hyperspectral remote sensing
8) Midterm examination/Assessment
9) Ultraviolet and thermal infrared remote sensing
10) Calibration, registration, topographic correction and field methods in remote sensing (1)
11) Calibration, registration, topographic correction and field methods in remote sensing (2)
12) Digital image processing: classification, mixed pixel and spectral unmixing methods
13) Digital image processing: Change detection
14) Introduction to radar
15) Interferometry, radar systems, and LIDAR
16) Final examination

Recommended or Required Reading

1- TATAR, Y., TATAR O., 2006, JEOLOJİDE UZAKTAN ALGILAMA, I. Baskı, Cumhuriyet Üniversitesi Yayınları, Yayın No: 102, Sıvas, 248 s.
2- Sesören , A., 2006, FOTOJEOLOJİ, İstanbul, 103 s.
3- Lillesand, T and Kiefer, R., W, 1994, Remote Sensing and Image Interepretation, John Wiley&Sons, 750 p.
4- Campbell, James B., 1987, Introduction to remote sensing, The Guilford Press, New York, 551 s.
5- Harita, Tapu, Kadastro, Coğrafi bilgi ve Uzaktan Algılama Sistemleri Özel İhtisas Komisyonu Raporu, 2001, Başbakanlık Devlet Planlama Teşkilatı yayın no. DPT : 2554-ÖİK : 570, Ankara, 212 s.
6- Terrain analysis and remote sensing, 1981, J. R. G. Townshend (ed.), George Allen& Unwin Publishers, London, 232 p.
7- Power Point Sunumlar
8- Power Point Presentations
9- Araştırma ve Okuma ödevleri
10- Research and reading assignments
11- 1 Vize, 1 Final
12- 1 Midterm, 1 Final

Planned Learning Activities and Teaching Methods

1) Drill and Practice
2) Lab / Workshop
3) Self Study
4) Problem Solving
5) Project Based Learning


Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

40%

 

Number

Percentage

Semester Studies

Midterm Examination

1

50%

Practices

3

50%

 

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required