Satellite Oceanography
(1) General
| School: | Of the Environment | ||
| Academic Unit: | Department of Marine Sciences | ||
| Level of studies: | Undergraduate | ||
| Course Code: | 191ΕΩ11Ε | Semester: | G |
| Course Title: | Satellite Oceanography | ||
| Independent Teaching Activities | Weekly Teaching Hours | Credits | |
| Total 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 | ||
| Course Website (Url): | https://www.mar.aegean.gr/?lang=en&pg=3.1.1&lesson=1077 | ||
(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: |
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| 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.