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CEG1706 : Earth Observation

  • Offered for Year: 2024/25
  • Module Leader(s): Dr Maria-Valasia Peppa
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus

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

Semester 1 Credit Value: 10
ECTS Credits: 5.0
European Credit Transfer System


To enable students to learn and understand the physical principles behind satellite and airborne Earth observation technologies. An understanding is developed of the nature and properties of electromagnetic radiation, characteristics of sensors and platforms and basics of digital image processing. Students will gain an appreciation of the remote sensing workflow for applications within the geosciences, also those related to global environmental and sustainability challenges. The students will gain familiarity with Earth Observation data sources and image processing software through practical exercises of real-world examples.

Outline Of Syllabus

The students learn about the nature of electromagnetic radiation and its interactions with the Earth’s surface and atmosphere. The module includes the description of various platforms, sensors with their resolutions and characteristics. The modules provides an introduction to photography, radar and laser scanning. It also includes Earth Observation data acquisition and remote sensing processing workflows. The module provides digital image processing techniques including image display and enhancement, filtering, pre-processing and classification techniques for thematic mapping.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion110:0010:00Completion of coursework activities
Guided Independent StudyAssessment preparation and completion111:3011:30revision for and completion of examination
Scheduled Learning And Teaching ActivitiesLecture201:0020:00Lectures
Guided Independent StudyDirected research and reading120:0020:00Lecture follow up
Scheduled Learning And Teaching ActivitiesPractical43:0012:00computer based practicals
Guided Independent StudyStudent-led group activity13:003:00group based activity
Guided Independent StudyIndependent study123:3023:30Reading and reflective learning
Teaching Rationale And Relationship

Specialist knowledge, understanding and background theory is primarily taught through in-person lectures, supported by practical sessions that build on this understanding and allow the development of skills in image processing and interpretation in more applied contexts.

Alternative will be offered to students who are unable to be present in person.

Assessment Methods

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

Description Length Semester When Set Percentage Comment
Written Examination901A70In person written exam
Other Assessment
Description Semester When Set Percentage Comment
Computer assessment1M15Online quiz via Canvas including a map related to the last practical
Practical/lab report1M15a short essay of 350 words related to the last practical embedded in the online quiz
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 assessment1M1 Online quiz via Canvas of the first practical
Assessment Rationale And Relationship

A formal examination will be used to assess understanding of theoretical concepts in Earth Observation data processing methods and operational considerations, accounting for the majority of summative module assessment (70%).

Online Canvas quizzes (15%), able to be undertaken and completed within timetabled practical sessions, will be used to ensure engagement of students with image processing aspects of the module, a practice (formative) quiz will be taken after the first practical. Finally students will be asked to complete a short essay (15%) independently, to assess their skills on understanding fundamental processing workflows with Earth Observation data, which form a key pre-requisite to a later Earth Observation module (CEG2709).

Reading Lists