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The University of Southampton

GEOG6087 Practical Skills in Remote Sensing

Module Overview

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

Aims and Objectives

Module Aims

To provide Level 6 students with the scientific understanding and the technical skills necessary to process a wide range of remotely sensed data from airborne and satellite sensors. This is important both to support their project work and because such skills are in high demand in professional practice.

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • You will understand the important principles of remote sensing, including sensor types and missions
  • You will understand the need for image pre-processing and will be able to assess the pros and cons of different methods
  • You will understand the use of remote sensing data in biophysical and biochemical product generation
  • You will be confident in your use of image processing software to apply routine pre-processing and image analysis steps in a rigorous and self-reflective manner
  • You will have developed your skills in critical assessment of published papers, particularly their choice of image pre-processing and processing methods.


1- Spectral measurements in the field and the laboratory and their relationship to biophysical variables. 2- Derivation of biophysical variables from satellite data 3- Calibration and pre-processing of image data. 4- Image processing methods 5- Hyperspectral remote sensing 6- Analysis of time series of remote sensing data 7- Application areas of RS data

Special Features

The module includes field demonstrations of equipment and methods, but these will take place on campus, and will thus be accessible to all students.

Learning and Teaching

Teaching and learning methods

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

Independent Study108
Total study time150

Resources & Reading list

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.

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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