Module Catalogue 2026/27

CEG8735 : Satellite positioning, navigation, timing and earth observation

CEG8735 : Satellite positioning, navigation, timing and earth observation

  • Offered for Year: 2026/27
  • Module Leader(s): Professor Peter Clarke
  • Lecturer: Dr Achraf Koulali Idrissi, Dr Maria-Valasia Peppa
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 2 Credit Value: 20
ECTS Credits: 10.0
European Credit Transfer System
Pre-requisite

Modules you must have done previously to study this module

Pre Requisite Comment

N/A

Co-Requisite

Modules you need to take at the same time

Co Requisite Comment

N/A

Aims

To provide a comprehensive understanding of satellite positioning systems and Earth Observation techniques.
To understand the principles of Global Navigation Satellite Systems (GNSS), remote sensing technologies, satellite imaging, and applications in geospatial sciences, environmental monitoring, and disaster management

Outline Of Syllabus

The module will cover the design and use of satellite-based geospatial technologies and their applications in various domains, e.g. terrestrial and airborne navigation and guidance, disaster response, and climate and environmental monitoring. In particular, students will learn the principles of satellite orbit determination, tracking, and constellation design for positioning and Earth Observation (EO); the fundamentals of precise positioning, navigation and time transfer (PNT) using GNSS; the basis of radar, optical, hyperspectral and gravimetric satellite EO techniques; and the linkages between satellite PNT&EO and airborne / drone-based remote sensing. They will develop skills in processing and analysing satellite-based and airborne geospatial data including the use of machine learning and AI to enhance PNT&EO, with a focus on real-world environmental and sustainability applications.

Learning Outcomes

Intended Knowledge Outcomes

On successful completion of the module, students will:

•       Demonstrate knowledge of the fundamental principles of GNSS and satellite-based positioning.
•       Explain the principles and practice of satellite-based and airborne (including drone) Earth
Observation systems.
•       Analyse how principles of AI and machine learning (ML) can be applied to enhance satellite
positioning and Earth Observation applications.
•       Apply satellite positioning and Earth observation (EO) techniques to real-world problems.

Intended Skill Outcomes

On successful completion of the module, students will be able to:

•       Explain satellite-based positioning, and the concepts of signals, orbits, and reference frames.
•       Explain the design and use of satellite-based and airborne Earth Observation systems.
•       Analyse a variety of applications for satellite positioning and Earth Observation, including
navigation, time transfer, environmental monitoring, and disaster management.
•       Process and interpret satellite-derived positioning and Earth Observation data using software
tools, including ML-based techniques.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion11:001:00Online quiz formative assessment
Guided Independent StudyAssessment preparation and completion12:002:00Closed book, in-person exam
Scheduled Learning And Teaching ActivitiesLecture301:0030:00N/A
Guided Independent StudyAssessment preparation and completion202:0040:00Coursework submission preparation - portfolio
Scheduled Learning And Teaching ActivitiesPractical63:0018:00N/A
Guided Independent StudyDirected research and reading301:0030:00Lecture follow-up
Scheduled Learning And Teaching ActivitiesSmall group teaching21:002:00Seminar - practical briefing sessions
Guided Independent StudyIndependent study177:0077:00Further reading and exam preparation
Total200:00
Teaching Rationale And Relationship

Lectures convey the core concepts, theories, and methods. Practicals enable the principles introduced in lectures to be put into practice, learned and assimilated through hands-on examples. The practicals have been developed to enable students to work independently and the practicals before each coursework submission will enable students to develop their submission. Clinics provide the opportunity for students to ask questions arising post-practicals and before submission deadlines. A series of Canvas tests will check knowledge after lecture/practical pairs.

Reading Lists

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Digital Examination1202A60Present-in-person closed book digital exam
Other Assessment
Description Semester When Set Percentage Comment
Portfolio2M40Collation and critical discussion of principal outputs from tasks undertaken at practicals. (approximately 1500 words, excluding figures, tables and computational workings)
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Computer assessment2MOnline quiz on concepts and principles
Assessment Rationale And Relationship

Coursework write-ups of practicals provide an opportunity to consolidate this understanding and obtain feedback. The closed-book, timed exam provides the means for a student to individually demonstrate their cumulative knowledge and understanding gained as needed in future careers and the workplace.

The formative online mid-semester quizzes provide a means of introducing the students to the style of exam later encountered, and an opportunity to test their understanding to date.

Timetable

Past Exam Papers

General Notes

N/A

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Disclaimer

The information contained within the Module Catalogue relates to the 2026 academic year.

In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.

Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, staffing changes, and student feedback. Module information for the 2027/28 entry will be published here in early-April 2027. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.