COURSE SYLLABUS

REMOTE SENSING

1	Course Title:	REMOTE SENSING
2	Course Code:	HRTS227
3	Type of Course:	Optional
4	Level of Course:	Short Cycle
5	Year of Study:	2
6	Semester:	3
7	ECTS Credits Allocated:	3
8	Theoretical (hour/week):	2
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Öğr. Gör. MURAT GÜLER
16	Course Lecturers:	Öğr. Gör. Murat GÜLER
17	Contactinformation of the Course Coordinator:	Öğr. Gör. Murat GÜLER Harita ve Kadastro Programı İznik Meslek Yüksekokulu E-posta: muratguler@uludag.edu.tr
18	Website:
19	Objective of the Course:	Teaching the basic concepts of remote sensing and digital image processing techniques.
20	Contribution of the Course to Professional Development	To be able to be aware of new and developing applications of the profession.

Learning Outcomes:

1	Learning the basic principles, concepts and terminology of remote sensing.;
2	To be able to define the basic components of remote sensing.;
3	Learning and applying digital image processing techniques.;
4	To learn satellite images used in remote sensing applications.;
5	To be able to analyze object-energy interaction using graphs.;
6	Based on the characteristics of different satellite images in remote sensing Associating the most appropriate satellite image that can be used to solve a problem with remote sensing. To be able to associate the most appropriate satellite image that can be used to solve a problem with remote sensing, based on the characteristics of different satellite images in remote sensing.;
7	To be able to compare the methods used in the geometric transformation of satellite images.;
8	To be able to calculate the classification accuracy.;

22	Course Content:

Week	Theoretical	Practical
1	Introduction to remote sensing, concepts, basic principles.
2	Remote sensing applications.
3	Energy sources, electromagnetic spectrum.
4	Data collection in remote sensing.
5	Satellites and their characteristics.
6	Sensor types.
7	Resolution concept: Spatial, spectral, radiometric and temporal resolution.
8	Course repetition.
9	Pre-processing and correction of satellite data.
10	Image enhancement.
11	Basic principles and steps of image interpretation, visual interpretation techniques.
12	Principal component analysis.
13	Classification methods.
14	Classification and accuracy analysis.

23	Textbooks, References and/or Other Materials:	Introduction to Remote Sensing (5th Edition), Campbell, J.B., and R. H. Wynne, The Guilford Press, 2011. Remote Sensing and Image Interpretation (7th Edition), Lillesand, T.M., R.W. Kiefer, and J.W. Chipman, Wiley, 2015. Computer Processing of Remotely Sensed Images: An Introduction (4th Edition), Mather, P., John Wiley & Sons, 2011. Remote Sensing Digital Image Analysis: An Introduction (4 th Edition), Richards, J.A. and X. Jia, Springer, 2006.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	In order to decide on the success in this course, 1 midterm exam with 40 impact rate and 1 final exam with 60 impact rate are made. Within the scope of this course, a relative evaluation system that enables the conversion of the students' raw achievement scores into letter grades is applied.
Information	By comparing the scores of each student at the end of the semester with the criteria for passing the course in accordance with the Associate and Undergraduate Education Regulations sent by Uludağ University, it is decided that each student is successful or failed.

ECTS / WORK LOAD TABLE

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High