COURSE INTRODUCTION AND APPLICATION INFORMATION

Course Name
Introduction to Remote Sensing
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
AE 202
Spring
2
2
3
6
Prerequisites
None
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives This course aims to present the basic principles of remote sensing techniques including multispectral scanners (MSS), radar, and remote sensing below the ground surface. Additionally, it gives some basic information related to electromagnetic energy, sensors and platforms, and some radiometric and geometric aspects and aims to intensify the knowledge by means of weakly homeworks.
Learning Outcomes The students who succeeded in this course;
  • Be able to describe the importance of remote sensing,
  • Be able to discuss basic remote sensing techniques,
  • Be able to classify the type of images taken by RS sensors,
  • Be able to describe about the MSS, radar, and other equipment,
  • Be able to discuss the spatial and radiometric features,
  • Be able to classify the satellite platform and orbital features,
Course Description Introduction to Remote Sensing course provides important tools in understanding of fundamentals of remote sensing, electromagnetic radiation (EM), atmospheric interaction with EM, spectral reflectance of the earth features, digital image and characteristics, major satellites and their characteristics, active and passive sensing, thermal sensing, microwave sensing, preprocessing, image enhancement, feature extraction and classification.
Related Sustainable Development Goals

 



Course Category

 Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to remote sensing, historical perspective, electromagnetic energy and remote sensing. Principles of Remote Sensing, Editors; L. L. Janssen and G. C. Huurneman, ITC Educational Textbook Series 2, Published by ITC, Ch. 1 & 2.
2 Introduction to sensors and platforms, sensors, platforms, image data characteristics, data selection criteria. Principles of Remote Sensing, Editors; L. L. Janssen and G. C. Huurneman, ITC Educational Textbook Series 2, Published by ITC, Ch. 3.
3 Orbital mechanics basics, Kepler’s principles, classical orbit elements, some example orbit features. Introduction to Aerospace Sciences, Y. Volkan Pehlivanoglu, TURAFA Publications, Istanbul, 2012.
4 Introduction to aerial cameras, aerial camera, spectral and radiometric characteristics, spatial characteristics, missions, advances in aerial cameras. Principles of Remote Sensing, Editors; L. L. Janssen and G. C. Huurneman, ITC Educational Textbook Series 2, Published by ITC, Ch. 4.
5 Introduction to multi spectral scanners, whiskbroom scanner, pushbroom scanner, some operational spaceborn scanners. Principles of Remote Sensing, Editors; L. L. Janssen and G. C. Huurneman, ITC Educational Textbook Series 2, Published by ITC, Ch. 5.
6 Introduction to radar, what is radar?, principle of imaging radar, geometric properties of radar, distortions in radar images, interpretation of radar images, applications of radar. Principles of Remote Sensing, Editors; L. L. Janssen and G. C. Huurneman, ITC Educational Textbook Series 2, Published by ITC, Ch. 6.
7 Introduction to remote sensing below the ground surface, gamma ray surveys, gravity and magnetic anomaly mapping, electrical imaging, seismic surveying Principles of Remote Sensing, Editors; L. L. Janssen and G. C. Huurneman, ITC Educational Textbook Series 2, Published by ITC, Ch. 7
8 Introduction to radiometric aspects, cosmetic corrections, atmospheric corrections. Principles of Remote Sensing, Editors; L. L. Janssen and G. C. Huurneman, ITC Educational Textbook Series 2, Published by ITC, Ch. 8.
9 Introduction to geometric aspects, relief displacement, two-dimensional approaches, three-dimensional approaches. Principles of Remote Sensing, Editors; L. L. Janssen and G. C. Huurneman, ITC Educational Textbook Series 2, Published by ITC, Ch. 9.
10 Project I
11 Introduction to image enhancement and visualization, perception of color, visualization of image data, color composites, filter operations. Principles of Remote Sensing, Editors; L. L. Janssen and G. C. Huurneman, ITC Educational Textbook Series 2, Published by ITC, Ch. 10.
12 Introduction to visual image interpretation, image understanding and interpretation, application of visual image interpretation, quality aspects. Principles of Remote Sensing, Editors; L. L. Janssen and G. C. Huurneman, ITC Educational Textbook Series 2, Published by ITC, Ch. 11.
13 Project II
14 Introduction to digital image classification, principle of image classification, image classification process, validation of the result, problems in image classification. Principles of Remote Sensing, Editors; L. L. Janssen and G. C. Huurneman, ITC Educational Textbook Series 2, Published by ITC, Ch. 12.
15 Project III
16 Final
Course Notes/Textbooks

Principles of Remote Sensing, Editors; L. L. Janssen and G. C. Huurneman, ITC Educational Textbook Series 2, Published by ITC.
Suggested Readings/Materials

Lillesand, T.M., Kiefer, R. W., Chipman, J.W., 2004. Remote Sensing and Image Interpretation. Fifth Edition, Hohn Wiley & Sons, USA.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
3
60
Seminar / Workshop
Oral Exam
Midterm
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
3
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
16
7
112
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
3
11
Seminar / Workshop
Oral Exam
Midterms
Final Exams
1
3
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
 Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have theoretical and practical knowledge that have been acquired in the area of Mathematics, Natural Sciences, and Aerospace Engineering.
2

To be able to assess, analyze and solve problems by using the scientific methods in the area of Aerospace Engineering.

 X
3

To be able to design a complex system, process or product under realistic limitations and requirements by using modern design techniques.

 X
4

To be able to develop, select and use novel tools and techniques required in the area of Aerospace Engineering.

 X
5

To be able to design and conduct experiments, gather data, analyze and interpret results.

 X
6

To be able to develop communication skills, ad working ability in multidisciplinary teams.
7

To be able to communicate effectively in verbal and written Turkish; writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions.
8

To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Aerospace Engineering solutions.
9

To be aware of professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.
10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.
11

To be able to collect data in the area of Aerospace Engineering, and to be able to communicate with colleagues in a foreign language (‘‘European Language Portfolio Global Scale’’, Level B1).
12

To be able to speak a second foreign language at a medium level of fluency efficiently.
13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Aerospace Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest