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Information
| Code | UA0029 |
| Name | Remotesensing and Image Interpretation I |
| Term | 2022-2023 Academic Year |
| Semester | . Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator |
Course Goal / Objective
Teaching remote sensing techniques and usage areas
Course Content
Basic principles of remote sensing, energy sources and heating principles, atmosphere energy interaction, energy interaction with earth objects, data information, digital image, remote sensing platforms, geographic information system, remote sensing and GIS
Course Precondition
none
Resources
Remote sensing and Image interpretation; Lilesand and Kiefer
Notes
lecture notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Knows the concept of Remote Sensing |
| LO02 | Understands the basics of Remote Sensing |
| LO03 | Explain the atmosphere-energy interaction |
| LO04 | Knows remote sensing platforms and 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 | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data | 5 |
| 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. | |
| 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 | |
| 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 | |
| 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 | definition and an overview of remote sensing | no need any preperation | Öğretim Yöntemleri: Tartışma |
| 2 | basic principles of remote sensing | no need any preperation | Öğretim Yöntemleri: Anlatım |
| 3 | physics of remote sensing | topic repetition | Öğretim Yöntemleri: Anlatım |
| 4 | visible region and remote sensing | topic repetition | Öğretim Yöntemleri: Anlatım |
| 5 | passiv remote sensing | topic repetition | Öğretim Yöntemleri: Anlatım |
| 6 | active remote sensing | topic repetition | Öğretim Yöntemleri: Anlatım |
| 7 | general repetition | topic repetition | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | general repetition | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | atmosphere | topic repetition | Öğretim Yöntemleri: Anlatım |
| 10 | remote sensing platforms | topic repetition | Öğretim Yöntemleri: Anlatım |
| 11 | remote sensing platforms and data generation | topic repetition | Öğretim Yöntemleri: Anlatım |
| 12 | satellite data | topic repetition | Öğretim Yöntemleri: Anlatım |
| 13 | preprocessing on satellite data | topic repetition | Öğretim Yöntemleri: Anlatım |
| 14 | geographic information systems | topic repetition | Öğretim Yöntemleri: Anlatım |
| 15 | remote sensing and GIS integration | topic repetition | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | genereal repetition | Ölçme Yöntemleri: Ödev |
| 17 | Term Exams | general repetition | Ölçme Yöntemleri: Ödev |
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 | ||