|| EAM1320 |
|| FUNDAMENTALS OF REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEMS |
|| 2004/2005 |
|| Dr Richard M Lucas |
|| Semester 1 |
|| Dr Aled P Rowlands |
| Course delivery
|| Lecture || 10 Hours |
|| Practical || 20 Hours |
|Assessment Type||Assessment Length/Details||Proportion|
|Semester Assessment|| Computing and statistical skills report (6,000 words).||70%|
|Semester Assessment|| 3,000 word discussion paper.||30%|
|Supplementary Assessment|| Resubmit report and discussion paper.|| |
Learning outcomesOn successful completion of this module students should be able to:
1. List, describe and evaluate main sources of GIS and remote sensing data.
2. Understand the functionality of commercial GIS and remote sensing software.
3. Design and implement basic routines for processing and analysis of GIS/remote sensing data.
4. Independently program GIS and remote sensing software (e.g., IDL, ENVI, Visual Basic).
The course provides an advanced introduction to GIS, covering topics that include the basic concepts of GIS, data sources and data entry, manipulation and analysis of GIS data and statistical procedures. The remote sensing component focuses on the use of data acquired by airborne and spaceborne sensors and the computer analysis and interpretation of such data. This module also focuses on digital photogrammetric techniques and the analysis of hyperspectral data. Throughout the module, students are given first hand experience in the use of both GIS and image analysis software.
Introduction to GIS data, including sources of data, the basic characteristics of vector and raster systems, the integration of tabular data and the role of databases. A range of GIS software will be introduced.
Introduction to remote sensing data acquired by both airborne and spaceborne sensors. The lectures will provide a comprehensive overview of the types of remote sensing data available and the characteristics that make them well suited for specific applications.
Principles of remote sensing. Introduction to image analysis software, basics of image formation and processing, including image construction, display, enhancement and manipulation, spatial filtering and standard classification techniques.
Statistics in remote sensing and GIS with particularly emphasis on geostatistical analysis.
Introduction to programming for GIS and remote sensing applications, including visual basic, map objects and IDL.
Aerial photography including interpretation and an introduction to photogrammetric techniques.
Introduction to spectral signatures, hyperspectral remote sensing and data extraction, and basic applications in geology and vegetation science. Processing of hyperspectral data including spectral unmixing, spectral maths, endmember collection and advanced classification techniques.
** Recommended Text
Burrough, P.A. & McDonnell, R.A. (1998) Principles of Geographical Information Systems
Oxford University Press
Dent, B.D. (1999) Cartography: Thematic Map Design
5th. WCB McGraw-Hill, Boston
Lillesand, T.M. & Kiefer, R.W. (2000) Remote Sensing and Image Interpretation
3rd. John Wiley & Sons, New York
Martin, D. (1996) Geographic Information Systems
Richards, J.A. (2000) Remote Sensing Digital Image Analysis
3rd. Springer-Verlag, Berlin
Campbell, J.B. (1996) Introduction to Remote Sensing
2nd. Taylor & Francis, London
Sabins, F.F. (1997) Remote Sensing: Principles and Interpretation
WH Freeman and Company, New York
Lucas, R. M., Held, A. and Phinn, S. (2003) Remote Sensing of Tropical Forests. Manual of Remote Sensing: Natural Resources and Environment. S. L. Ustin. 5
Malthus, T. J. and P. J. Mumby (2003) Remote sensing of the coastal zone: an overview and priorities for future research. International Journal of Remote Sensing 24(13): 2805-2815.
Voogt, J. A. and T. R. Oke ( 2003) Thermal remote sensing of urban climates. Remote Sensing of Environment 86(3): 370-384
This module is at CQFW Level 7