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Information
| Code | UA522 |
| Name | Remote Sensing Techniques in Natural Resources Investment |
| Term | 2024-2025 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 | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SUAT ŞENOL |
| Course Instructor |
1 |
Course Goal / Objective
The purpose is to have knowledge and skill of image interpretation such as aerial photos, satellite images for land use, soil mapping and other thematic mapping purposes.
Course Content
Image interpretation such as aerial photos, satellite images for land use, soil and geology mapping, forestry and other thematic mapping purposes.
Course Precondition
None
Resources
Remote Sensing Techniques Lecture Notes
Notes
Lecture Notes of ITU
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Discriminate natural objects on remote sensing images |
| LO02 | Create thematic maps by the interpretation of remote sensing images |
| LO03 | Applications of image interpretation for the natural research conservation investment |
| LO04 | Recognize Earth Objects Using Aerial Photographs |
| LO05 | Recognize the differences between Aerial Photography and Satellite images |
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 | 2 |
| PLO02 | Bilgi - Kuramsal, Olgusal | The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data | |
| 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. | |
| 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 | 3 |
| 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. | |
| 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 | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction | Literature review | |
| 2 | Basic charakteritics of the remotelly sensed data | Literature review | |
| 3 | Stereoscopy | Literature review | |
| 4 | Preparation of remotelly sensed images for interpretation | Literature review | |
| 5 | Methods used land use mapping | Literature review | |
| 6 | Land use mapping from remotelly sensed data | Literature review and execise | |
| 7 | Land cover mapping from remotelly sensed data | Literature review | |
| 8 | Mid-Term Exam | Prep. | |
| 9 | Use of remotelly sensed data in the forestry application | Literature review | |
| 10 | Use of remotelly sensed data in the water resources application | Literature review | |
| 11 | Use of remotelly sensed data in the water resources applications (cont'd) | Literature review and exercise | |
| 12 | Use of remotelly sensed data in the urban and regional planing applications | Literature review | |
| 13 | Use of remotelly sensed data in the wetland and water polution mapping | Literature review | |
| 14 | Use of remotelly sensed data in the wildlife applications | Literature review | |
| 15 | Use of remotelly sensed data in the archeological application | Literature review | |
| 16 | Term Exams | Prep. | |
| 17 | Term Exams | Prep |
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 | ||