- Understand the fundamental principles of ocean observation using satellite technologies and their role in environmental monitoring;
- Recognize the significance of various remote sensing techniques and their applications in oceanography;
- Analyse and interpret satellite imagery and remote sensing data through hands-on workshops;
- Use software tools for processing and analysing oceanographic data sets effectively;
- Develop critical thinking and analytical skills for evaluating oceanographic information and methodologies;
- Collaborate effectively in multidisciplinary teams to identify and address real-world ocean-related challenges through group projects.
Theory (30 hours)
1. Introduction to Oceanography (4 hours)
. Overview of ocean systems and processes
. Importance of ocean observations
2. Remote Sensing Fundamentals (6 hours)
. Principles of satellite remote sensing
. Types of sensors and platforms
3. Ocean Observation Techniques (8 hours)
. Ocean Colour remote sensing and significance
. Thermal Infrared remote sensing and significance
. Satellite altimetry and significance
. Case studies of existing satellite missions and ocean applications
4. Data Processing and Analysis (6 hours)
. Introduction to data processing techniques
. Overview of software tools for analysis
5. Applications of Ocean Observation (4 hours)
. Climate monitoring and change
. Marine resources management
6. Future Trends (2 hours)
. Advances in satellite technology
. Emerging research and future directions
Practical (24 hours)
1. Hands-on Data Analysis Workshops (16 hours)
. Training in satellite data processing using software tools (e.g., BILKO, SEADAS, SNAP, etc)
. Analysing real satellite data sets, such as sea surface temperatures or chlorophyll concentrations.
2. Group Project (8 hours)
. Collaborative project addressing a real-world oceanographic challenge, culminating in a presentation.
- Lectures: To deliver foundational knowledge and introduce concepts.
- Hands-on Workshops: Practical sessions to analyse and interpret satellite data.
- Group Projects: Students will collaborate on case studies to address real-world oceanographic problems.
- Assessment Methods:
- "Introduction to Remote Sensing" by John R. Jensen
- "Ocean Remote Sensing: Waves, Measurements, and Environmental Information" by R. McMahon
- "Satellite Oceanography: Theory and Applications" by David M. Farmer
- Various academic journals such as Remote Sensing of Environment and Journal of Ocean Technology for up-to-date research articles
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