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Module

CEG1706 : Principles of Remote Sensing

  • Offered for Year: 2020/21
  • Module Leader(s): Dr Rachel Gaulton
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters
Semester 2 Credit Value: 10
ECTS Credits: 5.0

Aims

This module introduces students to the physical principles behind satellite and airborne remote sensing techniques and photogrammetry. 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 and practical exercises allow the opportunity to gain familiarity with remotely sensed data sources and image processing software.

Outline Of Syllabus

Nature of electromagnetic radiation and interactions with the Earth’s surface and atmosphere. Platforms, sensors and resolution. Introduction to photography, radar and laser scanning. Remote sensing data acquisition and processing workflows. Calibration and validation. Digital image processing techniques including image display and enhancement, filtering, pre-processing and classification techniques for thematic mapping.

Teaching Methods

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

Teaching Activities
Category Activity Number Length Student Hours Comment
Structured Guided LearningLecture materials171:0017:00Online/Canvas - short lecture recordings, guided readings. interactive tasks weekly non-synch online
Guided Independent StudyAssessment preparation and completion13:003:00Preparation of image classification coursework report
Guided Independent StudyAssessment preparation and completion11:001:00Completion of online quiz assessment on visual image interpretation
Guided Independent StudyAssessment preparation and completion12:002:0024 hour online exam completion
Structured Guided LearningAcademic skills activities23:006:00Completion of self-guided image processing and analysis practical work. Non-synch online
Guided Independent StudyDirected research and reading146:0046:00Additional self-directed reading, based on module reading list and lecture references.
Scheduled Learning And Teaching ActivitiesPractical12:002:00Computer cluster practical session introducing image processing - PiP on campus
Scheduled Learning And Teaching ActivitiesWorkshops12:002:00Online synchronous workshop on visual image interpretation
Structured Guided LearningStructured non-synchronous discussion40:302:00Engagement with module discussion boards in support of lecture tasks and workshop.
Scheduled Learning And Teaching ActivitiesWorkshops51:005:00Drop-in sessions in computer cluster to support self-guided image processing - PiP on campus
Scheduled Learning And Teaching ActivitiesDrop-in/surgery40:302:00Drop-in Q&A sessions to address queries regarding module material or assessment - synchronous online
Guided Independent StudyIndependent study200:3010:00Preparation of lecture notes and revision for 24 hour exam.
Scheduled Learning And Teaching ActivitiesModule talk11:001:00Introductory online synchronous talk introducing the module - synchronous online
Scheduled Learning And Teaching ActivitiesModule talk11:001:00Introduction to exam and revision session - synchronous online
Total100:00
Teaching Rationale And Relationship

Specialist knowledge, understanding and background theory is primarily taught through 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.

Students should consult their individual timetable for up-to-date delivery information.

Assessment Methods

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

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

Exams
Description Length Semester When Set Percentage Comment
Written Examination1202A5024 hour take home exam online
Other Assessment
Description Semester When Set Percentage Comment
Practical/lab report2M40Report on image
Computer assessment1M10Online assessed quiz on visual image interpretation
Formative Assessments
Description Semester When Set Comment
Prob solv exercises2Mx 3 in-practical quizzes
Assessment Rationale And Relationship

A 24 hour online examination will be used to assess understanding of theoretical concepts in remote sensing. A practical report will be used to assess competencies in digital image processing and analysis developed duirng the linked practical sessions. A short online Canvas quiz will allow assessment of understanding of image characterisitcs and visual image interpretation, following the online workshop. Formative Canvas quizzes within practical sessions that are not assessed will be used to provide immediate feedback on understanding of key image processing and interpretation concepts.

Reading Lists

Timetable