Τμήμα Ωκεανογραφίας και Θαλασσίων Βιοεπιστημών

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Introduction to Marine Remote Sensing
School:
Of the Environment
Academic Unit:
Department of Marine Sciences
Level of studies:
Undergraduate
Course Code:
191ΕΩ14Υ
Semester:
D
Course Title:
Introduction to Marine Remote Sensing
Credits
6
Course Type:
special background
Prerequisite Courses:
Language of Instruction and Examinations:
Is the course offered to Erasmus students:
  • (2) Learning Outcomes
  • Learning Outcomes

On successful completion of the course, students will be able to: 

– Identify a wide range of oceanographic phenomena in satellite images 

– Explain the different orbits, sensors and satellites.  

– Apply image processing transformations  

– Make use of specific image processing software 

– Analyze and compare the image histograms  

– Create maps of oceanographic measurements 

– Evaluate the quality of remote sensing data 

  • General Competences

Taking into consideration the general competencies that the degree-holder must acquire the course aims to: 

– Search for, analysis and synthesis of data and information, with the use of the necessary technology 

– Adapting to new situations  

– Working independently  

– Respect for the natural environment  

  • (3) Syllabus

The course contents are divided into two parts, theoretical and laboratory:

Theory: 

– Introduction to Marine Remote Sensing. 

– Orbits, sensors and satellites. 

– Interpretation and processing of remotely sensed imagery. 

– Remote sensing of the sea: from data to applications. 

– Infrared measurement of sea surface temperature. 

– Ocean colour and sea water quality. 

– Organization and processing of spatiotemporal data. 

– Principles of microwave remote sensing. 

– Applications of microwave remote sensing. 

Laboratory: 

– Importing and opening multispectral imaging satellites 

– Histogram and transect creation 

– Find, import and processing of marine satellite data. 

– Photointerpretation in radar imagery. 

  • (4) Teaching and Learning Methods - Evaluation
  • Delivery:

Face-to-face lectures

  • Use of Information and Communication Technology:

e-class, several software for image analysis (SNAP, ENVI, R) 

  • Teaching Methods:
Activity Semester workload
Lectures
39
Laboratory exercises
26
Lectures
80
Final exam
3
Course total
148
  • Student Performance Evaluation:

The language of evaluation is Greek. For students with disabilities, evaluation takes place via oral examination.  

Method of evaluation:  

1. Written exam with multiple-choice questions counting 80% of the overall mark calculation.  

2. laboratory exercises counting 20% of the overall mark calculation. 

 The students can see the corrected exams and request clarifications on the grading. 

  • (5) Attached Bibliography

– John R Jensen , Remote Sensing of the Environment: An Earth Resource Perspective, 2nd (second) Edition
– Ian S. Robinson, 2004, Measuring the oceans from space, the principles and methods of satellite oceanography, Springer.
– Robert H. Steward, 1998, Methods of satellite oceanography, University of California Press.
– Barale V. and Gade M., 2008, Remote sensing of the european seas, Springer.
– Comiso J., 2010, Polar oceans from space (Atmospheric and Oceanographic Sciences Library), Springer.
– Sharkov A. E., 2004, Passive microwave remote sensing of the earth: physical foundations, Springer.