Module Identifier
EAM1320
Module Title
FUNDAMENTALS OF REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEMS
Academic Year
2008/2009
Co-ordinator
Professor Richard M Lucas
Semester
Semester 1
Pre-Requisite
Attendance of GG32820 (GIS) and GG32820 (Earth observation) or equivalent subjects undertaken in undergraduate course at own University.
Other Staff
 

Course Delivery

Delivery Type Delivery length / details
Lecture 10 x 1 hours
Practical 10 x 2 hours
 

Assessment

Assessment Type Assessment length / details Proportion
Semester Assessment COURSEWORK  Laboratory skills report based on the integration of GIS and remote sensing data (4000 words).  50%
Semester Exam 2 Hours   EXAMINATION  Written examination on theory and practice of remote sensing and GIS (2 hours).  50%
Supplementary Assessment Resubmit failed elements of coursework. 
Supplementary Exam 2 Hours   Resit: Examination  50%

Learning Outcomes

On completion of this module, students should be able to.

  1. List, describe and evaluate main sources of GIS and remote sensing data
  2. Explain the functionality of commercial GIS and remote sensing software
  3. Design and implement basic routines for processing and analyzing GIS and remote sensing data.

Content

10 x 1 hour lectures outlining
5 x 2 hour practicals (Remote Sensing)
5 x 2 hour practicals (GIS)

Brief description

The module will provide an advanced introduction to GIS, covering topics that include the design of GIS, data sources and data entry, manipulation and analysis of GIS data and basic statistical procedures. The remote sensing component will focus on theory and fundamental image analysis procedures, including preprocessing and classification of data. The practical work will focus on the analysis and integration of remote sensing and GIS data and will draw on examples from a range of applications.

Module Skills

Skills Type Skills details
Application of Number Use of mathematics in computer-based programming
Communication Skills report writing and submission of a research paper. Discussion groups within the blackboard teaching and learning environment.
Improving own Learning and Performance Reading, field and computer-based work. Library and web-based referencing.
Information Technology Use of IDL ENVI for image processing and ARCGIS software for GIS.
Personal Development and Career planning Knowledge of careers in remote sensing conveyed and advice given.
Problem solving Field and computer-based interpretation of remotely sensed data.
Research skills Basic strategies relating to data sources and data collection, data integration and processing within the framework of a GIS and effective analysis and interpretation of remote sensing data.
Subject Specific Skills Specific skills in satellite/aircraft data interpretation.
Team work Group work during field interpretation of remotely sensed data.

Reading List

Recommended Text
Burrough, P.A. & McDonnell, R.A. (1998) Principles of Geographical Information Systems Oxford University Press Primo search Campbell, J.B. (1996) Introduction to Remote Sensing 2nd edition Taylor and Francis, London Primo search Chang, K. (2006) Introduction to GIS Goodwill Primo search Dent, B.D. (1999) Cartography: Thematic Map Design 5th edition WCB McGraw-Hill, Boston Primo search Lillesand, T.M. & Kiefer, R.W. (2000) Remote Sensing and Image Interpretation 3rd Edition John Wiley and Sons, New York Primo search Martin, D. (2000) Remote Sensing Digital Image Analysis 3rd Edition Springer-Verlag, Berlin Primo search Sabins, F.F. (1997) Remote Sensing: Principles and Interpretation W.H.Freeman, New York Primo search Lucas, R. M., Held, A. and Phinn, S. (2003) Manual of Remote Sensing: Natural Resources and Environment. Remote Sensing of Tropical Forests. Primo search Malthus, T. J. and P. J. Mumby (2003) International Journal of Remote Sensing Remote sensing of the coastal zone: an overview and priorities for future research 24(13): 2805-2815. Primo search Voogt, J. A. and Oke, T.R. (2003) Remote Sensing of Environment Thermal remote sensing of urban climates 86(3): 370-384 Primo search

Notes

This module is at CQFW Level 7