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JDF 330
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Course Weekly Lecture Plan
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Course Information
Course Name
Turkish
Çevre Korumada Uzaktan Algılama ve CBS
English
Remote Sensing and GIS for Environmantal Protection
Course Code
JDF 330
Credit
Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester
6
3
3
-
-
Course Language
Turkish
Course Coordinator
Hilal Gonca Coşkun
Course Objectives
1. Building basic remote sensing analysis and establish infrastructure,
2. Remotely sensed data used with software, digital data can be process with different methods.
Course Description
Introduction to Remote Sensing, Contents, Application Areas, Definitions, History. Energy sources and radiation principles, energy interactions in the atmosphere. Elements of Digital Image Processing, Pixel, resolution. Digital Image Fundamentals, Imaging Geometry, Grey Level Histogram. Elements of Visual Perception. Preprocessing, Image Enhancement, Geometric and Radiometric Correction, Contrast Enhancement, Linear Contrast Enhancement. , Classification, unsupervised classification,. Supervised Classification, Examples. Error Matrix. Accuracy Assesment. Application digital practice
Course Outcomes
1. Remotely sensed digital data (Rsdd) can be process and enhanced by students.
2. Rsdd can be process using (RS-T) for geometric correction by the students.
3. Rsdd can be process using RS-T for radiometric correction by the students.
4. Rsdd can be process using RS-T for uncontrolled classification by the students.
5. Rsdd can be process using RS-T for controlled classification by the students.
6. Remotely sensed and classified digital data can be process using RS-T by the students.
7. Rsdd and classified can be calculated for area using RS-T by the students.
8. Fundamentals of Multispectral radar and laser.
9.Meterolocical Applications of radar and laser
Pre-requisite(s)
NON
Required Facilities
Each studetns needs computer and lisansed software
Other
Textbook
Textbook of Prof.Dr.H.Gonca COŞKUN’s
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