| Course Name | Code | Semester | T+U Hours | Credit | ECTS |
|---|---|---|---|---|---|
| Remote Sensing | KDP 515 | 0 | 3 + 0 | 3 | 7 |
| Precondition Courses | |
| Recommended Optional Courses | |
| Course Language | Turkish |
| Course Level | yuksek_lisans |
| Course Type | Optional |
| Course Coordinator | Doç.Dr. BEYZA USTAOĞLU |
| Course Lecturers | |
| Course Assistants | Res. Asst. Derya Evrim KOÇ |
| Course Category | |
| Course Objective | Getting information about shapes, locations of objects on the earth by using remote sensing data. |
| Course Content | A brief history of Remote Sensing; Data structure, force of visual discrimination ; Basic image processing analyst; Image enhancement; Methods of Remote Sensing; Used variables in visual and digital methods; Projects flow schemas; Remote Sensing satellites; Interaction between electromagnetic spectrum and material in Remote Sensing; Spectrum reflection values of materials; Assessment software and hardware; obtaining methods for colored value; Obtaining screen image; statistical analyst methods; radiometric and geometric adjustment; image enhancement, classification methods. |
| # | Course Learning Outcomes | Teaching Methods | Assessment Methods |
|---|---|---|---|
| 1 | Define term of remote sensing | Lecture, Question-Answer, | Testing, Homework, |
| 2 | Propose usage areas of remote sensing | Lecture, Question-Answer, | Testing, Homework, |
| 3 | Categorize the ray sources | Lecture, Question-Answer, Drilland Practice, Problem Solving, | Testing, Homework, Performance Task, |
| 4 | Categorize the sensing systems | Lecture, Question-Answer, | Testing, Homework, |
| 5 | Know intended use of satallite data | Lecture, Question-Answer, Drilland Practice, Problem Solving, | Testing, Homework, Performance Task, |
| 6 | Get working with different dicipline | Lecture, Question-Answer, Drilland Practice, Problem Solving, | Testing, Homework, Performance Task, |
| Week | Course Topics | Preliminary Preparation |
|---|---|---|
| 1 | Basic definitions and concepts | |
| 2 | Application fields of Remote Sensing | |
| 3 | Electromagnetic spectrum | |
| 4 | Energy Resources | |
| 5 | Electromagnetic radiations | |
| 6 | Energy-object relation | |
| 7 | Sensor systems | |
| 8 | Midterm exam | |
| 9 | Sensor systems | |
| 10 | Photographic and optic sensing systems | |
| 11 | Microwave sensing systems | |
| 12 | Satellite systems | |
| 13 | Satellite orbits | |
| 14 | Application cases |
| Resources | |
|---|---|
| Course Notes | 1.) Richards JA, Jia X. Remote Sensing Digital Image Analysis: An Introduction. 3rd Edition, <br>Springer, Berlin/Heidelberg/New York, 1999.<br>2.) Jensen JR. Introductory Digital Image Processing: A Remote Sensing Perspective. 2 rd Edition, <br>Prentice-Hall, Upper Saddle River, NJ, 1996.<br>3.) Erdas Imagine Temel Yazılımı, 2002, İşlem Şirketler Grubu.<br>4.)Türkiye Bilimler Akademisi, Ulusal Açık ders malzemeleri, Uzaktan Algılama. |
| Course Resources | |
| Order | Program Outcomes | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
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| Evaluation System | |
|---|---|
| Semester Studies | Contribution Rate |
| 1. Ara Sınav | 60 |
| 1. Kısa Sınav | 10 |
| 2. Kısa Sınav | 10 |
| 1. Ödev | 10 |
| 1. Performans Görevi (Uygulama) | 10 |
| Total | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Total | 100 |
| ECTS - Workload Activity | Quantity | Time (Hours) | Total Workload (Hours) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
| Mid-terms | 1 | 20 | 20 |
| Quiz | 2 | 20 | 40 |
| Assignment | 1 | 10 | 10 |
| Performance Task (Application) | 1 | 10 | 10 |
| Total Workload | 176 | ||
| Total Workload / 25 (Hours) | 7.04 | ||
| dersAKTSKredisi | 7 | ||