Introduction to Marine Remote Sensing
(1) General
| 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 | ||
| Independent Teaching Activities | Weekly Teaching Hours | Credits | |
| Total credits | 6 | ||
| Course Type: | special background | ||
| Prerequisite Courses: | |||
| Language of Instruction and Examinations: | |||
| Is the course offered to Erasmus students: | |||
| Course Website (Url): | https://www.mar.aegean.gr/?lang=en&pg=3.1.1&lesson=1042 | ||
(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: |
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| 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.