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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
PEM 418REMOTE SENSING TECHNICS IN LANDSCAPE PLANNING3 + 07th Semester4

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Processing and analysis of data obtained with remote sensing tools that can be used in landscape planning.
Course Content Description of land use/cover Land use/cover classification using remote sensing and advantages Classifiers and techniques Image processing techniques
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Image processing, interpretation and analysis
2Having knowledge of remote sensing platforms and instruments
3Mapping land use/cover
4Change Detection
5Data conversion and indices

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08
LO 001 554    
LO 002  5     
LO 003 555    
LO 004 555    
LO 0055555    
Sub Total5202519    
Contribution14540000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms11010
Final examination11010
Total Work Load

ECTS Credit of the Course






104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Fall1FIRAT ÇAĞLAR YILMAZ
Details 2022-2023 Spring1FIRAT ÇAĞLAR YILMAZ
Details 2022-2023 Fall1FIRAT ÇAĞLAR YILMAZ
Details 2021-2022 Fall1FIRAT ÇAĞLAR YILMAZ


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
PEM 418 REMOTE SENSING TECHNICS IN LANDSCAPE PLANNING 3 + 0 1 Turkish 2023-2024 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. FIRAT ÇAĞLAR YILMAZ fcyilmaz@pau.edu.tr KKM A0202-06 %70
Goals Processing and analysis of data obtained with remote sensing tools that can be used in landscape planning.
Content Description of land use/cover Land use/cover classification using remote sensing and advantages Classifiers and techniques Image processing techniques
Topics
WeeksTopics
1 Explaining the course content
2 Basic Concepts and Application Areas in Remote Sensing, Electromagnetic Emission
3 The Differences of Sensor Systems by Scan Mode, Satellite Orbits, The Process of Obtaining Digital Satellite Imagery
4 The Assessment Criteria of Remote Sensors
5 Some Commonly Used Satellite Systems
6 Airborne Remote Sensing Systems, Geometric Distortion on the Image, Hyperspectral Algılama
7 General Evaluation
8 Digital İmage
9 Digital Image Processing and Analysis
10 Pre-processing
11 Image Enhancement
12 Image Enhancement and Transformation
13 Unsupervised Classification
14 Supervised Classification
Materials
Materials are not specified.
Resources
ResourcesResources Language
Lillesand, T. M., Kiefer, R. W. and Chipman, J. W. 2015. Remote Sensing and Image Interpretation, 7th Edition, Wiley.English
Mather, P. M. and Koch, M. 2010. Computer Processing of Remotely-Sensed Images An Introduction, Fourth Edition, Wiley-BlackwellEnglish
Sunar, F., Özkan, C. ve Osmanoğlu, B. 2018. Uzaktan Algılama. Anadolu Üniversitesi Açıköğretim Fakültesi Yayınları, Yayın No: 1317.Türkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes