Türkçe | English
FACULTY of ENGINEERING / DEPARTMENT of GEOMATICS ENGINEERING

Course Catalog
http://www.harita.ktu.edu.tr
Phone: +90 0462 3772707
MF
FACULTY of ENGINEERING / DEPARTMENT of GEOMATICS ENGINEERING /
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 
HRT4045Remote Sensing Applications2+0+0ECTS:4
Year / SemesterFall 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
LecturerDoç. Dr. Volkan YILMAZ
Co-LecturerAsst. Prof. Dr. Çiğdem ŞERİFOĞLU YILMAZ
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
This course aims to teach how to process remote sensing images with various remote sensing software and to produce end products for different disciplines.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : develop solutions for fundamental remote sensing problems.1,41,6,
LO - 2 : use remote sensing software to address encountered problems.1,4,51,6,
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

 
Contents of the Course
Information about various Remote Sensing Software, conversion of images in different formats. land cover and land use concepts. Performing supervised and unsupervised classification with various remote sensing software. Detection of change in land cover and land use with various remote sensing software. The concept of texture in remote sensing and texture extraction methods and applications. Digital surface and digital terrain model production. Vegetation indices. The concept of image fusion.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Information about Remote Sensing Software
 Week 2Introduction to Satellite Image Download Platforms
 Week 3Introduction to the Google Earth Engine Platform
 Week 4Basic Remote Sensing Applications with the Google Earth Engine Platform
 Week 5Basic Remote Sensing Applications with the Google Earth Engine Platform
 Week 6Image Preprocessing Applications with Different Software
 Week 7Applications of Spectral Indices on Different Platforms
 Week 8Applications of Texture Analysis
 Week 9Mid-term exam
 Week 10Image Clustering and Classification Applications with Different Software
 Week 11Image Clustering and Classification Applications with Different Software, and Accuracy Analysis
 Week 12Change detection applications
 Week 13Image Fusion Applications with Different Software
 Week 14Student Project Presentations
 Week 15Student Project Presentations
 Week 16Final exam
 
Textbook / Material
1Landgrebe, D. A. (2003). Signal theory methods in multispectral remote sensing (Vol. 24). John Wiley & Sons
2Richards, J. A., & Richards, J. A. (1999). Remote sensing digital image analysis (Vol. 3, pp. 10-38). Berlin: Springer
3Qu, 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.
4Qu, 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.
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 1 30
Homework/Assignment/Term-paper 12 1 20
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 3 14 42
Sınıf dışı çalışma 6 8 48
Arasınav için hazırlık 6 6 36
Arasınav 1 1 1
Ödev 6 6 36
Dönem sonu sınavı için hazırlık 6 6 36
Dönem sonu sınavı 1 1 1
Total work load200