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Information
| Code | UA0031 |
| Name | Thermal Remote Sensing Application |
| Term | 2024-2025 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3.5 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | |
| Course Instructor |
Doç. Dr. BEKİR YİĞİT YILDIZ
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Learning thermal remote sensing applications
Course Content
Fundamentals of thermal remote sensing and use of thermal satellite data
Course Precondition
There are no prerequisites for the course
Resources
Remote Sensing and Image Interpretation Palme Publications, Lilesand and Kiefer
Notes
lecture notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | knows modern physics |
| LO02 | gets thermal satellite data |
| LO03 | Uses AVHRR thermal data |
| LO04 | Uses MODİS thermal data |
| LO05 | Uses ASTER thermal data |
| LO06 | Uses SENTİNEL thermal data |
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. | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | The students generate information using remotely sensed data and GIS together with database management skills. | |
| 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. | 5 |
| PLO05 | Bilgi - Kuramsal, Olgusal | The students gain knowledge to use current data and methods for multi-disciplinary research. | 3 |
| PLO06 | Bilgi - Kuramsal, Olgusal | The students gain technical competence and skills in using recent GIS and remote sensing software. | |
| 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. | 5 |
| 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. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Gains the ability to analyze and interpret geographic data with GIS techniques. | |
| PLO11 | Bilgi - Kuramsal, Olgusal | Gains the ability of problem solving, solving, solution oriented application development. | 3 |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Acquires the ability to acquire, evaluate, record and apply information from satellite data. | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | what is thermal remote sensing | no preparation needed | Öğretim Yöntemleri: Soru-Cevap |
| 2 | basics of remote sensing | topic repetition | Öğretim Yöntemleri: Anlatım |
| 3 | physical foundations of remote sensing | topic repetition | Öğretim Yöntemleri: Anlatım |
| 4 | components of remote sensing | topic repetition | Öğretim Yöntemleri: Anlatım |
| 5 | thermal remote sensing | topic repetition | Öğretim Yöntemleri: Anlatım |
| 6 | thermal remote sensing pre-processing | topic repetition | Öğretim Yöntemleri: Anlatım |
| 7 | remote sensing platforms | topic repetition | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | general reptition | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | AVHRR sensor | topic repetition | Öğretim Yöntemleri: Anlatım |
| 10 | Thermal region studies with AVHRR sensor | topic repetition | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 11 | Thermal region studies with landsat sensor | topic repetition | Öğretim Yöntemleri: Gösterip Yaptırma |
| 12 | Thermal zone studies with MODIS sensor | topic repetition | Öğretim Yöntemleri: Gösterip Yaptırma |
| 13 | Thermal region studies with ASTER sensor | topic repetition | Öğretim Yöntemleri: Gösterip Yaptırma |
| 14 | Thermal region studies with SENTİNEL sensor | topic repetition | Öğretim Yöntemleri: Gösterip Yaptırma |
| 15 | general discussion | topic repetition | Öğretim Yöntemleri: Tartışma |
| 16 | Term Exams | general repetition | Ölçme Yöntemleri: Performans Değerlendirmesi |
| 17 | Term Exams | general repetition | Ölçme Yöntemleri: Performans Değerlendirmesi |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||