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 |
|
|
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 |
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 |
First class information not currently available |
Additional information |
Hutton Room, Drummond Street |
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 |
Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
Not entered |
Contacts
Course organiser |
Dr Caroline Nichol
Tel: (0131 6)50 7729
Email: Caroline.Nichol@ed.ac.uk |
Course secretary |
Mrs Consuelo Fox
Tel: (0131 6)50 2543
Email: connie.fox@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:25 am
|