Main Page     Information on the Institution     Degree Programs     General Information for Students     Türkçe  

 DEGREE PROGRAMS


 Associate's Degree (Short Cycle)


 Bachelor’s Degree (First Cycle)


 Master’s Degree (Second Cycle)

  Course Description
Course Name : Remote Sensing

Course Code : UA-503

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Prof.Dr. VEDAT PEŞTEMALCI

Learning Outcomes of the Course : At the end of the course, students learn what remote sensing is.
Students understand the main properties of remote sensing.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : To learn about the principles of Remote Sensing

Course Contents : The basic principles of remote sensing; the source of radiation, atmospheric transmission, sensory platforms, target

Language of Instruction : Turkish

Work Place : Class


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 What is remote sensing? Reading the related chapter Oral presentation
2 The essential properties of remote sensing Reading the related chapter Oral presentation
3 The sources of radiation, The sun Reading the related chapter Oral presentation
4 Electromagnetic spectrum Reading the related chapter Oral presentation
5 Radiant energy, radiance and irradiance Reading the related chapter Oral presentation
6 Atmospheric transmission Reading the related chapter oral presentation
7 Solving problems Solving problems Solving problems
8 Midterm exam Midterm exam Midterm exam
9 Remote sensing platforms Reading the related chapter oral presentation
10 Ground, sky and outer space platforms Reading the related chapter Oral presentation
11 Satellites and their characteristics Reading the related chapter Oral presentation
12 Sensors, radiometers, photometers Reading the related chapter Oral presentation
13 Spectral, spatial, radiometric and temporal resolutions Reading the related chapter Oral presentation
14 Target and reflectance characteristics of some targets Reading the related chapter Oral presentation
15 Solving problems Solving problems Solving problems
16/17 Final exam Final exam Final exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Slater P,N., 1980, Remote sensing, Addison Wasley
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 50
    Homeworks/Projects/Others 5 50
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 The students acquire knowledge on potential practical fields of use of remotely sensed data, and use their theoretical and practical knowledge for problem solution in the related professional disciplines. 4
2 The students identify, describe, formulate and solve problems in engineering, and for this purpose, they are able to select appropriate techniques and apply analytical methods and models. 3
3 The students generate information using remotely sensed data and GIS together with database management skills. 5
4 The students gain knowledge to use current data and methods for multi-disciplinary research. 4
5 The students gain technical competence and skills in using recent GIS and remote sensing software. 4
6 The students have basic information about data collection, management, and analysis through integrating GIS and remote sensing, and are able to solve engineering problems using modern tools and technologies. 3
7 The students develop an understanding of sustainable resource management and planning to meet human needs by taking ecological factors into consideration in light of the current research data. 4
8 The students acquire the necessary knowledge and skills to understand a system, a system component or process for planning purposes, using modern techniques and methods. 4
9 At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory. 5
10 The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. 5
11 The students gain knowledge on temporal, radiometrici, spatial and spectral characteristics of remotely sensed data, as well as optic and active remote sensing systems and their interpretation. 4
12 The students develop the necessary skills for selecting and using appropriate techniques and tools for engineering practices, using information technologies effectively, and collecting, analysing and interpreting data. 4
13 The students gain the necessary skills to access information, review the literature, use databases and other sources of information, as well as lifelong learning awareness and the skills to follow scientific and technological developments for personal improvement. 4
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
    Homeworks, Projects, Others 5 10 50
    Mid-term Exams (Written, Oral, etc.) 1 10 10
    Final Exam 1 10 10
Total Workload: 154
Total Workload / 25 (h): 6.16
ECTS Credit: 6