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| SBP4022 | Photogrammeter and Remote Sensing in Planning | 2+0+0 | ECTS:4 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of URBAN and REGIONAL PLANNING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Doç. Dr. Mustafa DİHKAN | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Objectives of this course are to explain the basic fundamentals of remote sensing, how to get information from satellite images and how to interpret them, review of basic principles of image analysis and show how to use remote sensing data in Urban and Regional planning applications.
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| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Have ability to understanding of geometric and spectral properties of remotely sensed images, analog and digital images, and electro-optical and microwave systems. | 18,19 | 1 | | LO - 2 : | Be aware of the range of satellite data available from earth orbiting remote sensing satellites. | 18,19 | 1 | | LO - 3 : | Understand the properties of such data relevant for Urban and regional planning users. | 18,19 | 1,6 | | LO - 4 : | Select appropriate RS data to perform particular spatial analysis. | 18,19 | 1,6 | | LO - 5 : | Use standard RS software at elementary level and perform some basic RS applications such as classification and rectification. | 18,19 | 1,6 | | 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 | | |
| Introduction, Energy sources and radiation principles, Energy interactions with the atmosphere and Earth surface features (e.g. Vegetation, Soil, Water, etc.) . Digital image, Resolutions, Characteristics of an idea/real remote sensing system, Multispectral sensing, Reference data.Earth resource satellites and characteristics, Preprocessing, Geometric correction, rectification and registration. Classification algorithms, Supervised and Unsupervised classification. Classification applications. Remote Sensing applications in Urban and Regional planning.
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction, content of the course, conceps, general descriptions and course materials | | | Week 2 | Energy sources and radiation principles | | | Week 3 | Energy interactions in the atmosphere, Energy interactions with earth surface features (Vegetation, Soil, Water) | | | Week 4 | Satellites, sensors and their properties | | | Week 5 | Digital image, resolution concept, properties of remote sensing systems | | | Week 6 | Multispectral and hyperspectral remote sensing, band and spectral information concepts | | | Week 7 | Preprocessing of images, geometric correction | | | Week 8 | Mid-term exam | | | Week 9 | atmospheric correction | | | Week 10 | rektifikasyon, referanslandırma | | | Week 11 | Image enhancement and its applications | | | Week 12 | image classification algorithms | | | Week 13 | Unsupervised classification | | | Week 14 | Supervised classification | | | Week 15 | Use of RS data in Urban and regional planning applications | | | Week 16 | End of term exam | | | |
| 1 | Mather, P.M. 1987; Computer Processing of Remotely Sensed Images, USA. | | | 2 | Erdas Fieldguide | | | |
| 1 | Lillesand, T.M , Kiefer, R.W., 1997; Remote Sensing and Image Interpretation, John Wiley Sons, USA. | | | 2 | 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 | 09/04/2019 | 1 | 30 | | Homework/Assignment/Term-paper | 8
10
11 | 27/03/2019
10/04/2019
17/04/2019 | 6 | 20 | | End-of-term exam | 14 | 21/05/2019 | 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 | | Sınıf dışı çalışma | 2 | 14 | 28 | | Arasınav için hazırlık | 6 | 1 | 6 | | Arasınav | 1 | 1 | 1 | | Ödev | 9 | 3 | 27 | | Dönem sonu sınavı için hazırlık | 8 | 1 | 8 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 99 |
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