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 | |||||
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1 | 2 | 3 | 4 | 5 | |||
1 | |||||||
2 | |||||||
3 | |||||||
4 | |||||||
5 | |||||||
6 | |||||||
7 |
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 |