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FACULTY of ENGINEERING / DEPARTMENT of GEOMATICS ENGINEERING /
Katalog Ana Sayfa
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HRT2028Introduction to Remote Sensing2+0+0ECTS:4
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of GEOMATICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 2 hours of lectures per week
LecturerDr. Öğr. Üyesi Çiğdem ŞERİFOĞLU YILMAZ
Co-LecturerDoç. Dr. Volkan Yılmaz, Doç. Dr. Esra Tunç Görmüş
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
To make introduction to the field of Remote Sensing which is going to be a compulsory lecture in year 3. Objectives of this course can be listed as: Lectures cover principles of remote sensing, sensor types, as well as the processing and analysis of multispectral and hyperspectral satellite images, teaching interpretation and analysing steps of sattellite image processing steps.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : To have a strong conceptual understanding of fundamental remote sensing principles and improve presentation skills. To have proficiency in ENVI for image processing and remote sensing. 1,71,3,
LO - 2 :
LO - 4 :
LO - 5 :
LO - 7 : To Have ability to convey in written and verbal format RS concepts, methods, applications, Ability to use remote sensing tools to answer research questions,Preparation for Advanced Remote Sensing 1,71,3,
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

 
Contents of the Course
The purpose of this course is to introduce the students to the principles and analytical methods of satellite remote sensing as applied to environmental systems. Emphasis is placed on the application of processing and analysis of digital satellite images.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction to Remote Sensing and Course Overview - What is remote sensing? - History of remote sensing
 Week 2Physical Principles of Remote Sensing - Electromagnetic Radiation - Spectral responses
 Week 3Image Acquisition - Resolution (spatial, spectral, radiometric, temporal) - Satellite Systems and Sensors
 Week 4Image Acquisition - Digital Data - Image Format
 Week 5Image Restoration - Geometric Correction
 Week 6Image Restoration - Radiometric Correction
 Week 7Image Enhancement - Spatial Filtering - Contrast Stretch
 Week 8Review of Fundamental and Processing of RS
 Week 9Mid term exam
 Week 10Image Enhancement - Color Compositing - Pan Sharpening
 Week 11Assignment about Matlab software and application
 Week 12Image Transformations - Vegetation Indices
 Week 13Image Classification - Introduction - Logic of Classification - Unsupervised classification o Clustering procedures
 Week 14Presentation projects about the applications of remote Sensing
 Week 15Presentation projects about the applications of remote Sensing
 Week 16Final year exam
 
Textbook / Material
 
Recommended Reading
1Campbell, James. 2007. Introduction to Remote Sensing, 4th Ed. New York: Guilford Press.ISBN-10: 1606230743
2Thomas M. Lillesand , Ralph W. Kiefer, Jonathan W. Chipman 2008. Remote Sensing and ImageInterpretation, 6th Ed. Wiley
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 1 30
In-term studies (second mid-term exam) 11 1 10
Presentation 14 2 10
End-of-term exam 16 1 50
 
Student Work Load and its Distribution
Type of workDuration (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
Ödev 2 6 12
Dönem sonu sınavı için hazırlık 2 13 26
Dönem sonu sınavı 1 1 1
Total work load82