The emphasis is on processing and application of data collected in the optical and thermal regions using passive and active sensors.
Aims and Objectives
Having successfully completed this module you will be able to:
- Describe the principles of remote sensing, spectral measurements and remote sensing systems
- Illustrate the use of image processing software in routine image pre-processing and analysis in a rigorous and self-reflective manner
- Develop skills in critical assessment of published papers and in choosing appropriate image pre-processing and analysis methods.
- Discuss the need for image pre-processing and assess the pros and cons of different methods
- Discuss the use of remote sensing data in biophysical product generation
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 RS 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.
|Total study time||150|
Resources & Reading list
Online Materials. There is no set book for this module. Students will be provided with reading lists and URLs via Blackboard.
This is how we’ll formally assess what you have learned in this module.
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Repeat type: Internal & External