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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (MASTER) (WITH THESIS) | |
| Code | UA524 |
| Name | Basic Principles of Remote Sensing |
| Term | 2025-2026 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. NAZIM AKSAKER |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
This course aims to teach the basic concepts of remote sensing, the role of the electromagnetic spectrum, sensors and platforms, data acquisition, and preprocessing. It aims to provide students with the ability to interpret satellite and aerial images and perform basic analyses.
Course Content
Definition and history of remote sensing, electromagnetic spectrum, atmospheric effects, types of sensors and platforms, image acquisition, fundamentals of digital image processing, basic image analysis methods, classification, and accuracy assessment.
Course Precondition
There is no pre requires
Resources
Jensen, J. R. (2015). Introductory Digital Image Processing. Lillesand, T., Kiefer, R. W., Chipman, J. (2015). Remote Sensing and Image Interpretation. Campbell, J. B., Wynne, R. H. (2011). Introduction to Remote Sensing. Güncel makaleler ve ders notları / Recent articles and lecture notes.
Notes
Jensen, J. R. (2015). Introductory Digital Image Processing. Lillesand, T., Kiefer, R. W., Chipman, J. (2015). Remote Sensing and Image Interpretation. Campbell, J. B., Wynne, R. H. (2011). Introduction to Remote Sensing. Güncel makaleler ve ders notları / Recent articles and lecture notes.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explain basic concepts of remote sensing |
| LO02 | Identify the role of the electromagnetic spectrum in remote sensing. |
| LO03 | Distinguish types of sensors and platforms. |
| LO04 | Apply basic image processing and analysis techniques. |
| LO05 | Perform classification and accuracy assessment. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory | |
| PLO02 | Bilgi - Kuramsal, Olgusal | The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data | 2 |
| PLO03 | Bilgi - Kuramsal, Olgusal | The students generate information using remotely sensed data and GIS together with database management skills. | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | The students develop the necessary skills for selecting and using appropriate techniques and tools for engineering practices, using information technologies effectively, and collecting, analysing and interpreting data. | 2 |
| PLO05 | Bilgi - Kuramsal, Olgusal | The students gain knowledge to use current data and methods for multi-disciplinary research | |
| PLO06 | Bilgi - Kuramsal, Olgusal | The students gain technical competence and skills in using recent GIS and remote sensing software | 2 |
| PLO07 | Bilgi - Kuramsal, Olgusal | The students acquire knowledge on potential practical fields of use of remotely sensed data, and use their theoretical and practical knowledge for problem solution in the related professional disciplines. | 3 |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Students will be able to calculate and interpret physical and atmospheric variables by processing the satellite data. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Students can generate data for GIS projects using Remote Sensing techniques. | 2 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Gains the ability to analyze and interpret geographic data with GIS techniques | 2 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Gains the ability of problem solving, solving, solution oriented application development | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Acquires the ability to acquire, evaluate, record and apply information from satellite data |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to remote sensing | There are no prerequisites | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | History and applications of remote sensing | There are no prerequisites | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Electromagnetic spectrum | There are no prerequisites | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Atmospheric effects on EM waves | There are no prerequisites | Öğretim Yöntemleri: Soru-Cevap, Tartışma |
| 5 | Sensor types and characteristics | There are no prerequisites | Öğretim Yöntemleri: Soru-Cevap, Tartışma |
| 6 | Platforms (satellite, aerial) | There are no prerequisites | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 7 | Image acquisition and data sources | There are no prerequisites | Öğretim Yöntemleri: Soru-Cevap, Tartışma |
| 8 | Mid-Term Exam | There are prerequisites | Öğretim Yöntemleri: Anlatım |
| 9 | Basics of digital image processing | There are no prerequisites | Öğretim Yöntemleri: Tartışma, Anlatım |
| 10 | Image enhancement techniques | There are no prerequisites | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Basic image analysis methods | There are no prerequisites | Öğretim Yöntemleri: Soru-Cevap, Alıştırma ve Uygulama |
| 12 | Image classification methods | There are no prerequisites | Öğretim Yöntemleri: Alıştırma ve Uygulama, Anlatım |
| 13 | Accuracy assessment | There are no prerequisites | Öğretim Yöntemleri: Alıştırma ve Uygulama, Anlatım |
| 14 | Practical examples and case studies | There are no prerequisites | Öğretim Yöntemleri: Tartışma, Anlatım |
| 15 | Project presentations and evaluation | There are no prerequisites | Öğretim Yöntemleri: Tartışma, Anlatım |
| 16 | Term Exams | There are prerequisites | Ölçme Yöntemleri: Proje / Tasarım, Yazılı Sınav, Ödev |
| 17 | Term Exams | There are prerequisites | Ölçme Yöntemleri: Yazılı Sınav, Ödev, Proje / Tasarım |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 15 | 3 | 45 |
| Out of Class Study (Preliminary Work, Practice) | 15 | 4 | 60 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 20 | 20 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 10 | 10 |
| Final Exam | 1 | 15 | 15 |
| Total Workload (Hour) | 150 | ||
| Total Workload / 25 (h) | 6,00 | ||
| ECTS | 6 ECTS | ||