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Module

CEG2709 : Applied Remote Sensing and Image Processing

  • 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 develops a detailed understanding of remote sensing, with a focus on sensor characteristics, advanced image processing techniques and real-world applications. Students will be introduced to the latest research and developments in remote sensing technology and techniques and will gain an insight into applications from across the geosciences.

Outline Of Syllabus

Advanced consideration of the interactions of electromagnetic radiation with the Earth’s surface and atmosphere. Hyperspectral, thermal and radar remote sensing. Field spectroscopy. Advanced image pre-processing and processing techniques. Applications of remote sensing in mapping, environmental Earth observation and global change monitoring. Challenges and opportunities for remote sensing now and in the future.

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 materials171:0017:00VLE - short lecture recordings, guided readings & interactive tasks. Non-synchronous online
Guided Independent StudyAssessment preparation and completion110:0010:00Independent preparation of critical review and image processing methodology (assessed practical).
Guided Independent StudyAssessment preparation and completion12:002:00Undertaking 24 hour online exam
Structured Guided LearningAcademic skills activities11:001:00Reading and preparation for critical review workshop. Non-synchronous online
Structured Guided LearningAcademic skills activities14:004:00Completion of self-guided image processing and analysis practical work. Non-synchronous online
Guided Independent StudyDirected research and reading139:0039:00Additional self-directed reading, based on module reading list and lecture references.
Scheduled Learning And Teaching ActivitiesPractical23:006:00Image processing practicals undertaken in computer cluster, including formative online quizzes PiP
Structured Guided LearningStructured non-synchronous discussion12:002:00Engagement with module discussion boards in support of lecture tasks & workshop. Non-synch online
Scheduled Learning And Teaching ActivitiesWorkshops31:003:00Drop-in advice sessions in computer cluster to support self-guided image processing tasks PiP
Scheduled Learning And Teaching ActivitiesWorkshops12:002:00Workshop on critical review of remote sensing literature - online synchronous
Scheduled Learning And Teaching ActivitiesDrop-in/surgery40:302:00Drop-in online question and answer sessions for queries about the module content or assessment.
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
Scheduled Learning And Teaching ActivitiesModule talk11:001:00Online synchronous exam and revision session
Total100:00
Teaching Rationale And Relationship

Specialist knowledge of sensor types, data acquisition and processing and applications is primarily taught through lectures, supported by practicals developing image processing skills in applied contexts. Development of skills in critical review of remote sensing literature and identification of appropriate processing methodologies will be assisted by a seminar and independent study.

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 Examination1202A60Unseen 24 hour online exam
Other Assessment
Description Semester When Set Percentage Comment
Practical/lab report2M40Approx. 1000 words (10 hours effort)
Formative Assessments
Description Semester When Set Comment
Computer assessment2MFormative Blackboard "quizzes" completed during the 3 non-assessed computer practical sessions.
Assessment Rationale And Relationship

A formal 24 hour online exam will be used to assess understanding of theoretical concepts in remote sensing and image processing. A coursework submission, comprising a linked critical review of a journal article and development, application and testing of an image processing methodology will assess competencies in critical review of literature, independent development of image processing methodologies and data analysis and presentation. Progress in non-asessed practicals will be confirmed via formative Canvas quizzes, completed in the practical sessions and providing immediate feedback on understanding.

Reading Lists

Timetable