GEOG2007 Remote Sensing for Earth Observation
The module will look at the basic theory and practical application of remote sensing for monitoring the terrestrial environment.
Aims and Objectives
To provide students with an understanding of the basic theory and practical application of remote sensing for monitoring the terrestrial environment.
Having successfully completed this module you will be able to:
- Define and explain the key concepts and terminology used in remote sensing
- Conduct laboratory based analyses of remotely sensed data in an appropriate and safe manner.
- Use appropriate techniques to produce clear products such as thematic maps.
- Pursue knowledge in an ordered way.
- Use computational skills in the analysis of spatial data.
- List and discuss the advantageous features of remote sensing for the study of the Earth’s environment
- Describe the electromagnetic spectrum and appreciate some of the fundamental physical properties of radiation and their suitability for use in remote sensing
- Summarise and discuss the interactions of radiation in visible to microwave wavelengths with the terrestrial environment, and with vegetation, soils and water in particular
- Describe the properties of some major remote sensing systems.
- Explain how thematic maps may be derived from remotely sensed data
- Appreciate some of the ways remote sensing may be used in the study of the Earth’s environment
- Critically analyse literature on remote sensing.
- Analyse and interpret remotely sensed data.
The module utilises a combination of lectures and practical classes to develop students’ knowledge in a number of fundamental theoretical remote sensing principles: the theory of electromagnetic radiation, data formats and key characteristics of remotely sensed imagery. The module discusses the technical characteristics of a range of satellite platforms and instruments currently used for environmental monitoring. Through a series of practical classes, students will learn how to visually interpret, process, and analyse remotely sensed imagery from satellite sensors using state of the art image processing software. The theory underpinning concepts such as spatial and spectral image analysis, vegetation monitoring techniques and land cover classification methods will be covered the in lectures and then applied in the practical sessions. The module concludes with a series of lectures which review environmental applications of remote sensing.
Learning and Teaching
Teaching and learning methods
Lectures and Practical Sessions
|Total study time||150|
|Coursework (3000 words)||65%|
|Exam (1 hours)||35%|