GEOG6078 Remote Sensing for Earth Observation (ODL)
Module Overview
This module will provide an introduction to the principles behind the acquisition and utilisation of remotely sensed airborne and space-borne images for the study of natural and human landscapes.
Aims and Objectives
Module Aims
• Define and explain the key concepts and terminology used in remote sensing. • 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 wavelengths with the terrestrial environment • 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.
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- By the end of the module, the student should be able to define and explain the key concepts and terminology used in remote sensing.
- By the end of the module the students should be conversant with the basic principles of remote sensing and its various fields of application
- By the end of the module, the students should be able to use image processing software to process remote sensing data
Syllabus
Topics to be covered • Introduction to Remote Sensing • Electromagnetic Radiation • Energy interactions with the Atmosphere and the Earth’s surface • Sensor Technology • Major Remote Sensing systems • Introduction to Image Processing • Estimating Earth Surface Properties Using • Image Classification • Land Cover Mapping and Accuracy Assessment • Application of Remote Sensing in Natural Disaster Management and Climate Change Issues
Special Features
This is an online module.
Learning and Teaching
| Type | Hours |
|---|---|
| Teaching | 26 |
| Independent Study | 124 |
| Total study time | 150 |
Resources & Reading list
Campbell, J.B. and Wynne, R.H. (2011). Introduction to Remote Sensing.
Mather, P.M. and Koch, M. (2011). Computer Processing of Remotely Sensed Images.
Assessment
Summative
| Method | Percentage contribution |
|---|---|
| Assignment | 34% |
| Assignment | 33% |
| Assignment | 33% |
Referral
| Method | Percentage contribution |
|---|---|
| Exam | 100% |
Repeat Information
Repeat type: Internal & External