CEG2709 : Applied Remote Sensing and Image Processing
- Offered for Year: 2022/23
- Available to incoming Study Abroad and Exchange students
- 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
Teaching Activities
Category | Activity | Number | Length | Student Hours | Comment |
---|---|---|---|---|---|
Scheduled Learning And Teaching Activities | Lecture | 20 | 1:00 | 20:00 | N/A |
Guided Independent Study | Assessment preparation and completion | 1 | 10:00 | 10:00 | Completion of coursework |
Guided Independent Study | Directed research and reading | 1 | 1:00 | 1:00 | Reading and preparation for critical review workshop. |
Scheduled Learning And Teaching Activities | Practical | 4 | 3:00 | 12:00 | Cluster computer practical |
Guided Independent Study | Directed research and reading | 20 | 0:45 | 15:00 | Lecture follow up |
Scheduled Learning And Teaching Activities | Workshops | 1 | 2:00 | 2:00 | Critical review workshop |
Guided Independent Study | Independent study | 1 | 40:00 | 40:00 | Reading |
Total | 100:00 |
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
The format of resits will be determined by the Board of Examiners
Other Assessment
Description | Semester | When Set | Percentage | Comment |
---|---|---|---|---|
Practical/lab report | 2 | M | 100 | Approx. 2000 words (10 hours effort) |
Formative Assessments
Description | Semester | When Set | Comment |
---|---|---|---|
Computer assessment | 2 | M | Formative Canvas "quizzes" completed during the 3 non-assessed computer practical sessions. |
Assessment Rationale And Relationship
A coursework submission, comprising a linked critical review and development, application and testing of an image processing methodology will assess understanding of theoretical concepts and 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
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG2709's Timetable