Postgraduate Course: Hyperspectral Remote Sensing (PGGE11040)
Course Outline
| School |
School of Geosciences |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
Postgraduate Courses (School of GeoSciences) |
Other subject area |
None |
| Course website |
https://www.geos.ed.ac.uk/masters/gis_info/options.html
|
Taught in Gaelic? |
No |
| Course description |
The course aims to provide an introduction to hyperspectral remote sensing methods, systems for the collection of data at high spectral resolution and unique approaches and algorithms to the processing of such data. The case is made for the greater use of hyperspectral reflectance data. Taking a bottom-up approach the course will first visit spectral signatures and their collection at the Earth=s surface using instruments and techniques of field spectroscopy, and hyperspectral imaging instruments. Practical exercises will be undertaken in support of these techniques. |
Entry Requirements
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
None
|
| Additional Costs |
None |
Information for Visiting Students
| Pre-requisites |
None |
| Displayed in Visiting Students Prospectus? |
Yes |
Course Delivery Information
|
| Delivery period: 2010/11 Block 3 (Sem 2), Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-6 | 14:00 - 18:00 | | | | |
| First Class |
Week 1, Monday, 14:00 - 18:00, Zone: Central. Room 3.18 (Hutton Room), Geography (High School Yards/Drummond St) |
| Additional information |
Hutton Room, Drummond Street |
| No Exam Information |
Summary of Intended Learning Outcomes
By the end of this course, students should have achieved and demonstrated the ability to
- know the basic principles of field spectroscopy and techniques for the collection and analysis of hyperspectral ground-truth data.
- identify the most important attributes for airborne and hyperspectral sensors, and evaluate their characteristics and potential performance.
- identify why calibration is critical and have knowledge of approaches taken to the atmospheric correction of hyperspectral data.
- appreciate how data extraction techniques and hyperspectral algorithms work.
- know the potential application areas for hyperspectral analysis.
- locate, read and summarise relevant literature, from both traditional and electronic media, to extend your understanding of the topic.
- develop reasoned arguments, firmly grounded in the available literature.
- plan and write assignments, within the specified parameters and to a professional standard.
- take responsibility for your own learning through reading and the preparation of assignments, and reflect upon your learning experience. |
Assessment Information
| Practical projects and associated write-ups |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Reading List (more extensive list appears on course handbook)
General remote sensing texts, plus
- Liang, S. (2004) Quantitative remote sensing of land surfaces. Wiley. New Jersey
- Van der Meer, F.D., de Jong, S.M. (2001) Imaging spectroscopy; basic principles and prospective applications. Kluwer. 403 pp.
- Curran, P.J. (1994) Imaging spectrometry. Progress in Physical Geography, 18: 247-266
- Goetz, A.F.H., Curtiss, B. (1996) Hyperspectral imaging of the earth: remote analytical chemistry in an uncontrolled environment. Field Analytical Chemistry and Technology, 1: 67-76
- Asrar, G. (ed.) Theory and Applications of Optical Remote Sensing, Chapter 10, John Wiley and Sons, New York, NY, pp 429-472
- Chiang, Ch-L. () Hyperspectral imaging: Techniques for spectral detection and classification. Kluwer Academic, New York. 370pp.
|
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords |
Hyperspectral, field spectroscopy, remote sensing |
Contacts
| Course organiser |
Dr Caroline Nichol
Tel: (0131 6)50 7729
Email: Caroline.Nichol@ed.ac.uk |
Course secretary |
Ms Caroline Keir
Tel: (0131 6)50 2543
Email: caroline.keir@ed.ac.uk |
|
copyright 2011 The University of Edinburgh -
13 January 2011 6:28 am
|
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