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DRPS : Course Catalogue : School of Geosciences : Postgraduate Courses (School of GeoSciences)

Postgraduate Course: Active Remote Sensing: Radar and Lidar (PGGE11235)

Course Outline
SchoolSchool of Geosciences CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis course is intended to provide an introduction to the techniques used in active remote sensing, namely radar and Lidar. The course covers the underlying principles of the measurement techniques in both systems, as well as the interaction of microwaves with natural surfaces. The course focuses on the role of active systems and their application to monitoring aspects of the Earth's surface, with particular examples in mapping of forests.
Course description 1: Introduction and Context
2: Active ranging and EM interactions
3: Radar
4: Imaging radar
5: Lidar systems 1
6: Extracting features from Lidar data
7: Imaging Radar - Applications
8: Radar Interferometry
9: Polarimetry and Round up
10: Spaceborne lidar: A New Hope
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Principles and Practice of Remote Sensing (PGGE11233)
Prohibited Combinations Other requirements None
Information for Visiting Students
High Demand Course? Yes
Course Delivery Information
Academic year 2019/20, Available to all students (SV1) Quota:  40
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 20, Seminar/Tutorial Hours 10, Supervised Practical/Workshop/Studio Hours 4, Summative Assessment Hours 100, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 62 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Multiple Choice Class Test: 30%
Coursework: 70% (Individual Coursework: 40%, Team Coursework: 30%)

Assessment Deadlines:

Team Coursework: due Thursday, week 6
Individual Coursework: due Thursday, week 9
Class test: week 11
Feedback Formative feedback on coursework based on presentation/video of progress by week 5.

Formative feedback on first draft of coursework by week 5.

No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Understand the key principles of active remote sensing systems within the context of altimetry, scatterometry and imaging radar
  2. Comprehend some of the more complex topics such as polarimetry and interferometry
  3. Process and handle differnt forms of LiDAR data (waveform, discrete)
  4. Place the value of active remote sensing systems into the wider context of Earth observation and remote sensing
  5. Handle different forms of active data and interpret the information contained within such data
Reading List
I.H. Woodhouse, Introduction to Microwave Remote Sensing. (Taylor and Francis, CRC Press, 2005) (Radar chapters only)
I.H. Woodhouse, Thirteen Short Chapters on Remote Sensing. (Currently only available as an eBook from Amazon, 2013)
W. Wagner, A. Ullrich, V. Ducic, T. Melzer, N. Studnicka (2006) Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner, ISPRS Journal of Photogrammetry & Remote Sensing 60:100-112.
Clément Mallet , Frédéric Bretar (2009) Full-waveform topographic lidar: State-of-the-art, ISPRS Journal of Photogrammetry and Remote Sensing 64, 116t.
Lewis, P. and Hancock, S., 2007. LiDAR for vegetation applications. UCL, Gower St, London, UK.
Additional Information
Graduate Attributes and Skills This course will provide the students with a range of highly marketable skills and intriduce them to technologies sought after by employers. These technical skills relate closely to the employment opportunities identified by our Industrial External Examiner, professional bodies and graduate feedback. The students also gain skills in logical thinking, project work, organisation and report-writing.
KeywordsRemote Sensing,Radar,Lidar
Course organiserDr Steven Hancock
Tel: (01316)51 7112
Course secretaryMs Heather Penman
Tel: (0131 6)50
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