Information Package / Course Catalogue
Remote Sensing
Course Code: PM310
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

This course is aimed at: gaining ability for analysing, interpreting and collecting data of aerial photographs and satellite images by using Intergraph ERDAS Imagine software.

Course Content

Introducing remote sensing, creating and interpreting spatial data from aerial photographs and different types of satellite images by using Intergraph ERDAS Imagine, learning softwares and hardwares used in remote sensing.

Name of Lecturer(s)
Prof. Barış KARA
Learning Outcomes
1.To understand the fundamental principles of remote sensing, to learn the use area of remote sensing
2.To learn general characteristics of aerial photographs and satellite images
3.To identify and learn how to use remote sensing softwares
4.To learn how to interpret remote sensing by using Intergraph ERDAS Imagine software
5.To learn basic classification methods for collecting data from aerial photographs and satellite images by using Intergraph ERDAS Imagine software
Recommended or Required Reading
1.Altınbaş, Ü., 1995. Toprak Etüd ve Haritalama, Ege Üniversitesi Yayınları, Ziraat Fakültesi Yayın No: 521, Bornova, İzmir.
2.Altınbaş, Ü. vd. 2003. Uzaktan Algılama ve Coğrafi Bilgi Sistemi Uygulamalı Temel Kursu Ders Notları, Bornova, İzmir.
3.Dinç, U. vd., 2001. Uzaktan Algılamanın Temel Esasları ve Bazı Uygulamaları (Lisansüstü Yaz okulu), Adana.
4.Fundamentals of Remote Sensing, A Canada Centre for Remote Sensing Tutorial.
5.Gergel, S.E. and Turner, M.G., 2002. Learning Landscape Ecology: A practical guide to concepts and techniques, Springer-Verlag, New York, Inc.
6.Lillesand, T.M. and Kiefer R.W., 1994. Remote sensing and Image Interpretation. 3rd ed. ISBN 0- 471-57783-9, john Wiley & Sons, inc. NY.
7.Richards,J.A. and Jia, X., 2006. Remote Sensing Digital Image Analysis, 4th edition, Springer-Verlag Berlin, Germany.
8.Schott, J.R., 2007. Remote sensing, The image chain approach, 2nd edition, Oxford University Press, Inc., New York ,USA.
9.Sesören, A., 1999. Uzaktan Algılamada Temel Kavramlar.
10.Şenol, S. ve Dinç, U., 1994. Kartografya, Çukurova Üniversitesi Ziraat Fakültesi Yayın No: 89, Ders Kitapları Yayın No: 21, Ç.Ü. Ziraat Fakültesi Ofset Atölyesi, Adana.
11.Wadsworth, R. and Treweek, J., 1999. Geographical Information Systems for Ecology-An introduction, Addison Wesley Longman Limited, London, Great Britain.
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Introduction, the content and context of the course
Week 2 - Theoretical
Basic terms and techniques of remote sensing. History of remote sensing, remote sensing platforms. Importance of remote sensing in landscape architecture. Type of satellite images used in remote sensing, fundamental characteristics of aerial photographs and satellite images. Resolution characteristics of images. Intoducing remote sensing softwares
Week 2 - Practice
Basic terms and techniques of remote sensing. History of remote sensing, remote sensing platforms. Importance of remote sensing in landscape architecture. Type of satellite images used in remote sensing, fundamental characteristics of aerial photographs and satellite images. Resolution characteristics of images. Intoducing remote sensing softwares
Week 3 - Theoretical
Georeferencing, geometric correction and subsetting of topographic maps, aerial photographs and satellite images by using Intergraph ERDAS Imagine
Week 3 - Practice
Georeferencing, geometric correction and subsetting of topographic maps, aerial photographs and satellite images by using Intergraph ERDAS Imagine
Week 4 - Theoretical
Mosaicing of topographic maps, aerial photographs and satellite images and pan sharpening of satellite images by using Intergraph ERDAS Imagine
Week 4 - Practice
Mosaicing of topographic maps, aerial photographs and satellite images and pan sharpening of satellite images by using Intergraph ERDAS Imagine
Week 5 - Theoretical
Reprojecting and layer stacking of satellite images by using Intergraph ERDAS Imagine. Creating vector data from aerial photographs and satellite images
Week 5 - Practice
Reprojecting and layer stacking of satellite images by using Intergraph ERDAS Imagine. Creating vector data from aerial photographs and satellite images
Week 6 - Theoretical
Improving image quality (color correction, atmospheric correction) and making mask of satellite images by using Intergraph ERDAS Imagine
Week 6 - Practice
Improving image quality (color correction, atmospheric correction) and making mask of satellite images by using Intergraph ERDAS Imagine
Week 7 - Theoretical
Unsupervised classification technique of satellite images by using Intergraph ERDAS Imagine
Week 7 - Practice
Unsupervised classification technique of satellite images by using Intergraph ERDAS Imagine
Week 8 - Theoretical
Supervised classification technique of satellite images by using Intergraph ERDAS Imagine
Week 8 - Practice
Supervised classification technique of satellite images by using Intergraph ERDAS Imagine
Week 9 - Theoretical
Object based classification technique of satellite images by using Intergraph ERDAS Imagine
Week 9 - Practice
Object based classification technique of satellite images by using Intergraph ERDAS Imagine
Week 10 - Theoretical
Reclassifying (recoding) of classified satellite images by using Intergraph ERDAS Imagine
Week 10 - Practice
Reclassifying (recoding) of classified satellite images by using Intergraph ERDAS Imagine
Week 11 - Theoretical
Change detection of satellite images by using Intergraph ERDAS Imagine
Week 11 - Practice
Change detection of satellite images by using Intergraph ERDAS Imagine
Week 12 - Theoretical
Accuracy assessment of classified satellite images by using Intergraph ERDAS Imagine
Week 12 - Practice
Accuracy assessment of classified satellite images by using Intergraph ERDAS Imagine
Week 13 - Theoretical
Applying indices such as vegetation index and NDVI to satellite images by using Intergraph ERDAS Imagine
Week 13 - Practice
Applying indices such as vegetation index and NDVI to satellite images by using Intergraph ERDAS Imagine
Week 14 - Theoretical
Applying indices such as vegetation index and NDVI to satellite images by using Intergraph ERDAS Imagine
Week 14 - Practice
Applying indices such as vegetation index and NDVI to satellite images by using Intergraph ERDAS Imagine
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Lecture - Practice142256
Individual Work2114
Midterm Examination1314
Final Examination1415
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
OÇ-1
3
OÇ-2
3
5
3
OÇ-3
3
5
3
5
OÇ-4
5
5
5
5
OÇ-5
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026