Hyperspectral Remote Sensing (P00752)

? Credit Points : 10 ? SCQF Level : 11 ? Acronym : GEO-P-GISHRS

Introduction to hyperspectral remote sensing methods, systems for collection of data at high spectral resolution and unique approaches and algorithms to the processing of such data.

Entry Requirements

? Pre-requisites : Available only to postgraduate students Applied Image Processing

Subject Areas

Home subject area

Postgraduate Courses (School of GeoSciences), (School of GeoSciences, Schedule N)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Block 4 only

? Contact Teaching Time : 30 hour(s) per week for 1 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
27/02/2006	09:00	17:00	Room 301, Crew Building	KB

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	09:00	17:00	KB
Lecture	Tuesday	09:00	17:00	KB
Lecture	Wednesday	09:00	17:00	KB
Lecture	Thursday	09:00	17:00	KB
Lecture	Friday	09:00	17:00	KB

Summary of Intended Learning Outcomes

- know the basic principles of field spectroscopy and tecniques for the collection and analysis of hyperspectral ground-truth data.
- identify the jmost 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.