Upon completion of this module, you will gain an overview of and be able to articulate:
(1) The main active and passive remote sensing techniques and how they are used in geosciences
(2) The fundamental physical principles of underpinning the use of those remote sensing techniques
(3) Where to find, and how to access, sources of remote sensing data in offline and online repositories.
(4) Technical and digital skills in workflows required to analyse remote sensing data.
(5) How to relate remote sensing data to subsurface characteristics and processes.

Lectures (1 hour)
1. Nature, propagation and scattering of electromagnetic waves
2. Optical and Multispectral imaging
3. InfraRed and Hyperspectral imaging
4. Photogrammetry
5. LiDAR
6. Gravity and magnetic remote sensing
7. Radar and SAR
8. InSAR and GPS
9. Summary of remote sensing as applied to surface and sub-surface characterisation.
10. Overview of Earth Observation platforms and data - past, present & future


Practicals (3 hours)
1. Multispectral satellite image processing and analysis
2. Generation of Digital Surface Models from photogrammetry of drone-captured optical data
3. Geological mapping with Multi-/Hyperspectral imagery
4. SAR image analysis
5. Measurement and analysis of fault/volcano deformation with InSAR

Not applicable to this module.

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

This can be through different approaches such as oral, audio, video and/or written/annotated feedback, either in-class, out of class, in meetings, through the VLE, by email, using rubrics, etc.