Τμήμα Ωκεανογραφίας και Θαλασσίων Βιοεπιστημών

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Satellite Oceanography
School:
Of the Environment
Academic Unit:
Department of Marine Sciences
Level of studies:
Undergraduate
Course Code:
191ΕΩ11Ε
Semester:
G
Course Title:
Satellite Oceanography
Credits
5
Course Type:
Skills development
Prerequisite Courses:
Introduction to satellite oceanography
Language of Instruction and Examinations:
Greek
Is the course offered to Erasmus students:
Yes, in English
  • (2) Learning Outcomes
  • Learning Outcomes

On successful completion of the course, students will be able to:
– Identify sample areas in optical imagery.
– Explain the spatial, spectral and radiometric resolution
– Apply transformations and classification algorithms
– Make use of optical and radar data
– Analyze the sample areas for classification
– Create a classified image
– Evaluate the quality of image classification

  • 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
– Decision-making
– Working independently
– Respect for the natural environment
– Criticism and self-criticism

  • (3) Syllabus

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

Theory:
– Introduction to satellite oceanography.
– Remote sensing systems.
– Advanced methods of interpretation and processing of satellite remote sensing imagery.
– Hyperspectral imagery.
– Infrared measurement of Sea Surface Temperature (SST).
– Ocean colour remote sensing.
– Satellite altimetry.
– Principles of microwave remote sensing. 
– Oil spill detection and identification. 
– Wind direction and wind intensity calculation.
– Ship detection using microwave remote sensing.
Laboratory:
– Processing of satellite remote sensing illustration
– Geometric correction
– Training areas selection
– Training areas and field data correlation
– Classification (supervised and unsupervised)
– Τable of accuracies 
– Μap Creation

  • (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, eCognition, R) 

  • Teaching Methods:
Activity Semester workload
Lectures
26
Laboratory exercises
39
Practical project
45
Essay writing
15
Course total
125
  • Student Performance Evaluation:

Essay/report (scientific paper format) counting 60% of the overall mark calculation.  

Public presentation counting 40% of the overall mark calculation. 

  • (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.