COURSE UNIT TITLE

: SATELLITE OCEANOGRAPHY

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GIS 5013 SATELLITE OCEANOGRAPHY ELECTIVE 2 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ATILLA HÜSNÜ ERONAT

Offered to

Geographical Information Systems (Non-Thesis) (English)
GEOGRAPHICAL INFORMATION SYSTEMS (ENGLISH)
GEOGRAPHIC INFORMATION SYSTEMS (ENGLISH)
GEOGRAPHICAL INFORMATION SYSTEMS - NON THESIS (EVENING PROGRAM) (ENGLISH)

Course Objective

Fundamentals of remote sensing in oceanography, including space platforms, their orbits, instruments, data retrieval and image processing. Oceanographic applications of remote sensing, including visible, infrared and microwave techniques for sensing ocean color, temperature, salinity, currents and waves. Recent developments of remote sensing models for oceanic studies and new developments in data analysis.

Learning Outcomes of the Course Unit

1   Fundamentals of remote sensing in oceanography
2   Oceanographic applications of remote sensing
3   Recent developments of remote sensing models

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Theoretical Background
3 Theoretical Background
4 Satellite Systems
5 Practical Aspects of Satellite
6 Practical Aspects of Satellite
7 Observation Using Visible, Infrared and Microwave Radiation
8 Midterm Examination
9 Observation Using Visible, Infrared and Microwave Radiation
10 Radar Observation of the Sea
11 Image Processing Techniques
12 Presentation of HRPT Software Package
13 Applications of ERDAS and HRPT
14 Applications of ERDAS and HRPT

Recomended or Required Reading

Textbook:
Robinson, I.S., Satellite Oceanography An Introduction for Oceanographers and Remote Sensing Scientists, Wiley-Parix Series in Remote Sensing, 1997
References:
Remote Sensing Applications in Marine Sciences and Technology. Ed. A.P. Cracknelll. NATO ASI Series.
BILKO Image Processing Software Manual.
ERDAS Imagine Software Manual.

Planned Learning Activities and Teaching Methods

Lecture, seminar and lab work

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 MTE MIDTERM EXAM
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE ASG * 0.30 + MTE * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.30 + MTE * 0.30 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Assignment
Midterm Exam
Final Exam

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 14 4 56
Preparation for midterm exam 1 25 25
Preparation for final exam 1 30 30
Preparing assignments 1 30 30
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 173

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.143355544533
LO.234333453453
LO.333444333544

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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