Module overview
The emphasis is on processing and application of data collected in the optical regions of the electromagnetic spectrum using passive sensors.
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Demonstrate the use of image processing software in routine image pre-processing and analysis in a rigorous and self-reflective manner
- Discuss the use of remote sensing data in bio-geophysical product generation
- Discuss the need for image pre-processing and assess the pros and cons of different methods
- Develop skills in critical assessment of published papers and in choosing appropriate image pre-processing and analysis methods.
- Describe the principles of remote sensing, spectral measurements and remote sensing systems
Syllabus
1-Principles of remote sensing
2- Spectral measurements and their relationship to biophysical variables.
3-Derivation of biophysical variables from remote sensing data
4-Calibration and pre-processing of remote sensing data.
5-Image processing methods
6-Hyperspectral remote sensing
7-Analysis of time series remote sensing data
8-Application of remote sensing data
Learning and Teaching
Teaching and learning methods
The module will be taught through small group lectures, supplemented by hands-on computer lab practicals and personal study.
Type | Hours |
---|---|
Teaching | 42 |
Independent Study | 108 |
Total study time | 150 |
Resources & Reading list
General Resources
Online Materials. There is no set book for this module. Students will be provided with reading lists and URLs via Blackboard.
Internet Resources
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Coursework | 50% |
Coursework | 50% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Coursework assignment(s) | 100% |
Repeat Information
Repeat type: Internal & External