Module Information

Module Identifier
Module Title
Academic Year
Semester 1
Other Staff

Course Delivery

Delivery Type Delivery length / details
Lecture 5 X 1 hrs
Practical 5 x 2 hrs


Assessment Type Assessment length / details Proportion
Semester Assessment Coursework: laboratory skills report based on analysis of a remote sensing dataset (2000 words)  50%
Semester Exam 2 hour written examination on theory and practice in remote sensing  50%
Supplementary Assessment Resubmission of failed assignment  100%

Learning Outcomes

On successful completion of this module students should be able to:

  1. Understand the sources of elecromagnetic radiation and sensing techniques.
  2. List and describe main sensors (ground, airborne and spaceborne)
  3. Understand and implement standard methods for remote sensing data calibration and pre-processing.
  4. Explain the functionality of available software and routines for processing remote sensing data.
  5. Undertake simple programming to read and process remote sensing data.

Brief description

The module provides an overview of basic theory and practice in remote sensing, and introduces the importance of the fields of physics, geography, biology and computing science in remote sensing. The module includes practical elements within each of the contributing departments, which provide lab-based demonstration of technologies and computer processing and analysis of remote sensing data.


5 x 1 hour lectures
5 x 2 hour practicals
The electromagnetic spectrum and overview of sensors (IGES)
Thermal, lidar and microwave sensing (IMAPS)
Spectral signatures (IBERS)
Calibration and correction of remote sensing data (IGES)
Image processing and programming (COMP. SCI/IGES)

Module Skills

Skills Type Skills details
Application of Number Quantitative analysis of remote sensing data
Communication Discussions with fellow students in laboratories and through interactive lectures
Improving own Learning and Performance Literature review and discussions with lecturers
Information Technology Use of commercial, open source and in house software
Personal Development and Career planning Awareness of scientific literature, functionality of software and programming
Problem solving Completing calculations in relation to electromagnetic theory, image pre-processing and spectral analysis
Research skills Using remote sensing software, programming of remote sensing data and reviewing literature
Subject Specific Skills As above
Team work Practical assignments

Reading List

Essential Reading
Canty, M.J. (2009) Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL Primo search Jensen, J.R. (2000) Remote Sensing of the Environment: An Earth Resource Perspective Prentice Hall Primo search Jones, H. (2010) Remote Sensing of Vegetation: Principles, Techniques and Applications 1st Edition Oxford University Press Primo search Lillesand, T.M. & Kiefer, R.W. (2007) Remote Sensing and Image Interpretation 3rd Edition John Wiley and Sons, New York Primo search Popescu, S.C. (2011) Lidar Remote Sensing of Terrestrial Environments CRC Press Primo search Richards, J.A., and Jia, X. (2005) Remote Sensing Digital Image Analysis: An Introduction Primo search Woodhouse, Iain (2009) An Introduction to Microwave Remote Sensing CRC Press Primo search Zelle, J. (2010) Python programming: An introduction to Computer Science 2nd Edition Franklin, Beedle and Associates, Sherwood, Oregon, US Primo search


This module is at CQFW Level 7