Postgraduate Course: Hyperspectral Remote Sensing (PGGE11040)
Course Outline
| School | School of Geosciences |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | 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. |
| Course description |
Monday 11th January
Lecture: 1. Introduction to course, and the case for hyperspectral Earth observations followed by an introduction to course practicals/assessments
Tutorial: 1. Set seminar assessments (one practical assignment and one presentation)
Monday 18th January
Lecture: 2. An introduction to near-ground hyperspectral measurements (field spectroscopy);
Lecture: 3. The analysis of field spectroscopy data and validation of hyperspectral Earth observations
Tutorial: 2. The analysis of hyperspectral image data cubes. Work on Practical Assignment
Monday 25th January
Lecture: 4. Introduction to hyperspectral imaging
Lecture: 5. Applications of hyperspectral remote sensing
Tutorial: 3. The analysis of hyperspectral image data cubes continued. Work on Practical Assignment
Monday 1st February
Tutorial: 4. The analysis of hyperspectral image data cubes continued and continue work on Practical Assignment
Monday 8th February
Student presentations session
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2015/16, Available to all students (SV1)
|
Quota: None |
| Course Start |
Block 3 (Sem 2) |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 24,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
74 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Practical assessment 60% due week 3 of block 3
Seminar assessment 40% due week 1 of block 4 |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- know the basic principles of field spectroscopy and techniques for the collection and analysis of hyperspectral data, identify the most important attributes for airborne and hyperspectral sensors, evaluate their characteristics and potential performance, identify why calibration is critical and knowledge of approaches taken for the atmospheric correction of hyperspectral data
- appreciate how data extraction techniques and hyperspectral algorithms work
- locate, read and summarise relevant literature, from both traditional and electronic media, to extend your understanding of the topic. Get proficient in presenting scientific material
- develop reasoned arguments, firmly grounded in the available literature and 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, delivery of a seminar and reflect upon your learning experience
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Reading List
Key texts:
General hyperspectral texts
Schaepman-Strub, G., Schaepman, M.E., Painter, T.H., Dangel, S. and Martonchik, J.V. (2006). Reflectance quantities in optical remote sensing - definitions and case studies. Remote Sensing of Environment, 103, 27 - 42.
Lillesand, Kiefer and Chipman (2008) Remote Sensing and Image Interpretation. Chapter 5, John Wiley and Sons, New York, NY. Pp. 325-391
Van der Meer, F.D., de Jong, S.M. (2001). Imaging spectroscopy; Basic principles and prospective applications. Kluwer. 403pp.
Field spectroscopy:
Milton, E.J., 1987. Principles of field spectroscopy. International Journal of Remote Sensing, 8, 1807-1827.
Milton, E.J., Schaepman, M., Anderson, K., Kneubuhler, M. and Fox, N. (2009). Progress in field spectroscopy. Remote Sensing of Environment, 113, S92¿S109. |
Contacts
| Course organiser | Dr Alasdair Macarthur
Tel: (0131 6)50 5926
Email: Alasdair.MacArthur@ed.ac.uk |
Course secretary | Mr Edwin Cruden
Tel: (0131 6)50 2543
Email: Edwin.Cruden@ed.ac.uk |
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