Practical Skills in Remote Sensing

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

• Discuss the need for image pre-processing and assess the pros and cons of different methods
• 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
• 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

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

The module will be taught through small group lectures, supplemented by hands-on computer lab practicals and personal study.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.