SOES6017 Introductory remote sensing of the ocean
This course aims to provide a broad introduction at Masters level to the ways in which remote sensing from satellites is used in oceanography. Whether you have a special interest in this particular aspect of oceanography, or you are simply taking the course to round out your knowledge, you should be able to learn from this course in five different ways, as summarised in the learning outcomes.
Aims and Objectives
• To provide an overview of how the ocean can be observed and measured remotely using sensors on Earth orbiting satellites. • To provide an understanding of the role of remotely-sensed data in the study of the oceans
Having successfully completed this module you will be able to:
- Acquire a new Perspective: grasp what is special about the view of the ocean provided from satellites, to enhance your knowledge of the ocean.
- Methodology: understand the main methods of ocean remote sensing and the ocean properties that can be measured.
- Importance in Ocean Science: discover some of the specific ways in which satellite ocean data make unique contributions to ocean science.
- Wider Applications: find out how satellite ocean data are being applied for the benefit of human activity in the ocean.
- Acquire image handling skills: learn how to acquire, enhance, present and apply satellite image data in scientific and educational contexts.
- Information technology: image processing; manipulation and evaluation of satellite datasets acquired from the Internet.
- Communication: scientific writing.
- Working in teams.
• Basic principles: Introductory lectures on remote sensing methods, coupled with a practical introduction to image processing with self paced introductory tutorials. • Sea surface temperature: Method of sea surface temperature remote sensing, studies of ocean eddies and fronts, monitoring of global temperature patterns. • Ocean colour: Measuring chlorophyll and suspended sediment concentration from water colour as detected from satellites, studies of phytoplankton blooms. • Imaging Radar: How satellite radars "see" the ocean to study ocean topography, winds, rain and salinity globally. • Sea Ice: studying Arctic and Antarctic ice by synergy between different types of data. • Lecture material is reinforced by computer practicals using remote sensing data. Students will learn the use of Matlab for analysing satellite images.
Joint Co-ordinator: Dr Colette Robertson (NERC)
Learning and Teaching
Teaching and learning methods
Formal Lectures: will provide an introduction to the theory underlying remote sensing methods used in oceanography. Each lecture systematically covers the main concepts and topics by the use of PowerPoint presentations, supported by illustrated handout materials. The lecturer’s own experience in these fields is incorporated. Appropriate references to parts of course textbooks and introductory journal references are provided at each lecture. The lectures will focus on the practical applications of satellite data to ocean science topics. Lectures will include discussion points and peer instruction. Practicals: Interactive computer-based practical work with image data, including instruction in Matlab. Online videos: provide more in-depth technical information on satellite data, which students can use to deepen their understanding of remote sensing topics specific to their assessments. A wide range of support can be provided for those students who have further or specific learning and teaching needs.
|Total study time||150|