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| HRT2050 | Fundamentals of Remote Sensing | 2+1+0 | ECTS:3 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures and 1 hour of practicals per week | | Lecturer | Prof. Dr. Mualla YALÇINKAYA | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To ensure that students have knowledge about the basic issues of remote sensing |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Know the usage areas of Remote Sensing | 1.3 | 3, | | LO - 2 : | Will learn Remote Sensing systems | 4.1 - 4.2 | 3, | | LO - 3 : | Will make Geometric, Atmospheric corrections | 6.3 | 3, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Areas of use of remote sensing, concept of electromagnetic energy, digital image, concept of resolution, concept of band and color, satellites, sensors, geometric, atmospheric correction, color spaces |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction, scope of the course, concepts, general definitions | | | Week 2 | Areas of use of remote sensing | | | Week 3 | The concept of electromagnetic energy and its propagation principles | | | Week 4 | Digital image, the concept of resolution, properties of remote sensing systems | | | Week 5 | | | | Week 6 | Concept of band and color, multispectral sensing, hyperspectral sensing | | | Week 7 | Satellites, sensors and their features | | | Week 8 | geometric correction | | | Week 9 | Midterm exam
| | | Week 10 | geometric correction
| | | Week 11 | Atmospheric correction, radiometric correction | | | Week 12 |
band rates | | | Week 13 | Color spaces and color space transformations | | | Week 14 | APPLICATION | | | Week 15 | APPLICATION | | | Week 16 | Final exam | | | |
| 1 | Landgrebe, D. A. (2003). Signal theory methods in multispectral remote sensing (Vol. 24). John Wiley & Sons. | | | |
| 1 | Richards, J. A., & Richards, J. A. (1999). Remote sensing digital image analysis (Vol. 3, pp. 10-38). Berlin: Springer. | | | 2 | Qu, J. J., Gao, W., Kafatos, M., Murphy, R. E., & Salomonson, V. V. (Eds.). (2006). Earth Science Satellite Remote Sensing: Vol. 1: Science and Instruments. Tsinghua University Press, Beijing and Springer-Verlag GmbH Berlin Heidelberg. | | | 3 | Qu, J. J., Gao, W., Kafatos, M., Murphy, R. E., & Salomonson, V. V. (Eds.). (2006). Earth Science Satellite Remote Sensing: Vol. 2: Data, Computational Processing, and Tools. Tsinghua University Press, Beijing and Springer-Verlag GmbH Berlin Heidelberg. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 2 | 30 | | Homework/Assignment/Term-paper | 12 | | 2 | 20 | | End-of-term exam | 16 | | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 4 | 14 | 56 | | Sınıf dışı çalışma | 6 | 14 | 84 | | Arasınav için hazırlık | 3 | 1 | 3 | | Arasınav | 2 | 1 | 2 | | Ödev | 1 | 5 | 5 | | Dönem sonu sınavı için hazırlık | 4 | 1 | 4 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 156 |
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