1. Basic principles: Introductory lectures on remote sensing methods, coupled with a practical introduction to image processing with self paced introductory tutorials to become familiar with using Matlab for satellite data.
2. Sea surface temperature: Method of sea surface temperature remote sensing, studies of ocean eddies and fronts, monitoring of global temperature patterns.
3. Ocean colour: Measuring chlorophyll and suspended sediment concentration from water colour as detected from satellites, studies of phytoplankton blooms.
4. Imaging Radar: How satellite radars "see" the ocean to study ocean topography, winds, rain and salinity globally.
5. Sea Ice: studying Arctic and Antarctic ice by synergy between different types of data.
6. Autonomous underwater vehicles: unique view of ocean physics and biogeochemistry, new frontier in ocean remote sensing
7. Lecture material is reinforced by online videos which go deeper into particular aspects of remote sensing and computer practicals using remote sensing data. Students will learn the use of Matlab for analysing satellite images.