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| HRT2023 | Fundamentals of Remote Sensing | 2+0+0 | ECTS:2 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi Çiğdem ŞERİFOĞLU YILMAZ | | Co-Lecturer | Doç. Dr. Volkan Yılmaz, Doç. Dr. Esra Tunç Görmüş. | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To explain the fundamentals of remote sensing, to give information about remote sensing satellites and their technical specifications, to explain the concepts of spectral reflectance, spectral signature, panchromatic, multispectral and hyperspectral image concepts. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Will learn about the basic concepts of Remote Sensing | 1 | | | LO - 2 : | Will learn about optical sensors and optical satellite images | | | | LO - 3 : | Will learn about active sensors and radar images | | | | 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 | | |
| History of remote sensing, satellites, sensors and their properties. Elements of remote sensing, image acquisition methods using active and passive sensors. The concept of electromagnetic energy, the concept of wave, the interaction of the sun beam with the atmosphere. Pixel, band, digital image concepts. Panchromatic, multispectral, hyperspectral band concepts. Spectral reflectance and spectral signature concepts. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction, scope of the course, concepts, general definitions, resources | | | Week 2 | Remote sensing history, satellites, sensors and their properties | | | Week 3 | Elements of remote sensing, image acquisition methods using active and passive sources | | | Week 4 | The concept of electromagnetic energy, the concept of wave, the interaction of the sun with the atmosphere | | | Week 5 | Pixel, band, digital image concepts | | | Week 6 | Panchromatic, multispectral, hyperspectral band concepts | | | Week 7 | Spectral reflectance and spectral signature concepts | | | Week 8 | Rectification and registration of satellite images | | | Week 9 | Mid-term | | | Week 10 | The concept of color, transformations between color spaces and their use in remote sensing applications | | | Week 11 | Arithmetic operations on satellite images | | | Week 12 | Vegetation indexes in satellite imagery | | | Week 13 | Concept of image classification | | | Week 14 | Unsupervised classification algorithms | | | Week 15 | Supervised classification algorithms | | | Week 16 | End of term exam | | | |
| 1 | Campbell, J. B., 1996; Introduction to Remote Sensing, The Guilford Press. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 1 | 50 | | End-of-term exam | 14 | | 1 | 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 | 2 | 14 | 28 | | Arasınav için hazırlık | 2 | 7 | 14 | | Arasınav | 1 | 1 | 1 | | Uygulama | 1 | 6 | 6 | | Dönem sonu sınavı için hazırlık | 2 | 14 | 28 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 78 |
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