Course overview
Earth observation interprets image-based information gathered by space and airborne platforms using a wide range of sensors. This course examines the principles and application of remote sensing to a range of disciplines. Principles include the interaction of electromagnetic radiation with the Earth's atmosphere and surface, spectral characteristics of earth surface materials, and the nature of imagery collected by a variety of earth-observation sensors. We discuss the use of spectral data to identify and characterise objects (minerals, soils, vegetation, water), produce thematic maps and monitor changes over time. The nature and application of specialised forms of remote sensing including gamma radiometry, hyperspectral, radar and thermal imagery are also considered. These data are relevant to a wide range of applications including geology, environmental and agricultural science. Information is extracted using digital image processing: correction, enhancement and classification of the digital data and its integration with geographic information systems and field data. Practicals use specialist image analysis software to give hands-on experience with the basics of digital image processing and application to specific projects.
Course learning outcomes
- Explain the physical principles and concepts underlying common forms of remote sensing
- Describe the sources, nature and characteristics of common forms of remote sensing data
- Locate sources of technical information about satellites, sensors and applications
- Be aware of new developments and trends in earth observation and its computational analysis
- Perform a range of key digital image analyses with programming and scripting techniques.
- Interpret the information provided by digital imagery for a range of applications and prepare data visualisations that incorporate outputs from digital image analysis.
- Describe how remote sensing is being used for a range of disciplines and applications
- Choose appropriate forms of remote sensing and recommend analyses for particular applications