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The University of Southampton

GEOG6087 Practical Skills in Remote Sensing

Module Overview

The emphasis is on processing and application of data collected in the optical and thermal regions using passive and active sensors.

Aims and Objectives

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • Describe the principles of remote sensing, spectral measurements and remote sensing systems
  • 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
  • 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.


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.

Independent Study108
Total study time150

Resources & Reading list

Software requirements.

Software requirements.

Online Materials. There is no set book for this module. Students will be provided with reading lists and URLs via Blackboard.

Software requirements.

Software requirements.



MethodPercentage contribution
Coursework 50%
Coursework 50%


MethodPercentage contribution
Coursework assignment(s) 100%

Repeat Information

Repeat type: Internal & External

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