Introduction to LiDAR Remote Sensing (P01951)

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

This course is intended to provide an introduction to the techniques used in LiDAR remote sensing. The course covers the underlying principles of the measurement techniques and the interaction of LiDAR signals with natural surfaces and the atmosphere. The course introduces the different airborne and satellite systems and related data processing methods. The student will also gain knowledge of the different applications of this RS approach for monitoring various aspects of the Earth's atmosphere, cryosphere and terrestrial surfaces. Urban and archaeological applications will be also addressed. Emphasis will nevertheless be given to forestry.

Entry Requirements

? Pre-requisites : Available only to postgraduate students. Core course for MSc Forest Geosciences

? Costs : Photocopying costs only

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 : 4 hour(s) per week for 5 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
13/02/2008	09:00	13:00	Room 3.18, Old Infirmary (Geography)	Central

All of the following classes

Type	Day	Start	End	Area
Lecture	Wednesday	09:00	10:50	Central
Laboratory	Wednesday	11:10	13:00	Central

Summary of Intended Learning Outcomes

By the end of the module, students should have achieved and demonstrated, or be able to achieve and demonstrate, the ability to:
- Understand the key principles of LiDAR systems.
- Process and handle different forms of LiDAR data (waveform, discrete)
- Interpret the information contained within such data
- Place the value of LiDAR systems into the wider context of Earth observation
- Locate, read and summarise relevant literature, from traditional and electronic media
- Develop reasoned arguments, firmly grounded in the available literature
- Conduct practical and assignments, within the specified parameters and to a professional standard
- Take responsibility for own learning through reading and completion of assignments. Reflect upon learning experience