UA503 Remote Sensing

6 ECTS - 3-0 Duration (T+A)- 1. Semester- 3 National Credit

Information

Unit INSTITUTE OF NATURAL AND APPLIED SCIENCES
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (MASTER) (WITH THESIS)
Code UA503
Name Remote Sensing
Term 2018-2019 Academic Year
Term Fall
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof.Dr. VEDAT PEŞTİMALCİ
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

Learning the basis of remote sensing

Course Content

Definition of remote sensing. Basis of remote sensing. Radiation sources, radiometers and satellites, atmospheric windows, target and characteristics

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Student learn what remote sensing is.
LO02 Student learn sources of radiation
LO03 Student learn stellites and their characteristics
LO04 Student learn wavelength region of atmospheric windows
LO05 Student learn electromagnetic spectrum
LO06 Student learn remote sensing targets and their chracteristics


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory
PLO02 - The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data
PLO03 - The students generate information using remotely sensed data and GIS together with database management skills.
PLO04 - 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.
PLO05 - 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.
PLO06 - 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.
PLO07 - The students gain knowledge to use current data and methods for multi-disciplinary research
PLO08 - 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.
PLO09 - The students gain technical competence and skills in using recent GIS and remote sensing software
PLO10 - 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.
PLO11 - 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.
PLO12 - 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.
PLO13 - Coğrafi Bilgi Sistemleri ve Uzaktan Algılama entegrasyonu ile veri eldesi, yönetimi ve analizi konularında bilgi sahibi olur; planlama ile ilgili mühendislik problemlerini güncel araçlarla çözümleyebilir.
PLO14 - Students will be able to calculate and interpret physical and atmospheric variables by processing the satellite data.
PLO15 - Students will be able to perceive the natural and artificial characteristics of land and develop a solution depending on the land conditions.
PLO16 - Students can generate data for GIS projects using Remote Sensing techniques.
PLO17 - Gains the ability to analyze and interpret geographic data with GIS techniques
PLO18 - Gains the ability of problem solving, solving, solution oriented application development
PLO19 - Acquires the ability to acquire, evaluate, record and apply information from satellite data
PLO20 - Students will have the ability to read, write, listen and speak effectively in a foreign language


Week Plan

Week Topic Preparation Methods
1 Definition of Remote Sensing and history of Remote Sensing Reading
2 Principals of remote Sensing Reading
3 Sources of radiation and Sun Reading
4 Remote Sensing satellites and theis characteristics Reading
5 NOAA, LANDSAT, SPOT etc. satellites Reading
6 Radiometric characteristics of satellites Reading
7 Radiometric characteristics of satellites Reading
8 Mid-Term Exam Preparing questions
9 Atmospheric windows Reading
10 Electromagnetic spectrum Reading
11 The correlation between satellite radiometers and atmospheric windows region Reading
12 Remote sensing targets and theif reflection and emission characteristics Reading
13 Characteristics of light Reading
14 Kirchhoff's law of radiation Reading
15 Scattering of light Reading
16 Term Exams Preparing questions
17 Term Exams Preparing questions

Update Time: 09.11.2018 11:10