Geoinformation Technology & Cartography MSc/PgDip/PgCert
GNSS and Geodesy GEOG5012
- Academic Session: 2024-25
- School: School of Geographical and Earth Sciences
- Credits: 10
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 2
- Available to Visiting Students: No
- Collaborative Online International Learning: No
Short Description
This course introduces Global Navigation Satellite Systems (GNSS), with a focus on positioning - including hands-on practical experience of collecting and processing data. It also details co-ordinate reference systems and gives an overview of other satellite geodesy techniques.
Timetable
Normally Thursdays in first 1/2 of semester 2
Co-requisites
Geospatial Fundamentals (GEOG5008)
Assessment
Coursework - GNSS research analysis and communication portfolio (including informal presentation of research to class) - 40%;
Examination 60%
Main Assessment In: April/May
Course Aims
■ To describe modern GPS/GNSS techniques
■ To provide opportunities to gain practical experience in GPS data processing
■ To introduce time systems, satellite orbital motion and radio signal propagation
■ To allow the students to investigate potential applications of GNSS
■ To revisit geoid, ellipsoid and terrestrial reference systems
■ To introduce other Space Geodesy techniques, especially those that contribute to the International Terrestrial Reference Frame (ITRF)
Intended Learning Outcomes of Course
On completing this unit students will be able to:
■ Describe how GNSS works (including time, orbits, signals, etc)
■ Give an overview of space geodesy capabilities and how they contribute to the ITRF
■ Explain pseudo-range and carrier phase-based modes of positioning including both single receiver (absolute) positioning and relative positioning, with mathematical models where appropriate.
■ Describe and assess GNSS error sources and biases, e.g. atmospheric delays and multipath
■ Select an appropriate working mode for a particular application
■ Discuss current status and future trends of GNSS
■ Process GNSS data using appropriate software and critically analyse the results
Minimum Requirement for Award of Credits
Attendance at all practical sessions