Your programme is made up of credits, the total differs on programme to programme.
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
To enable students deeply understand and learn advance remote sensing technologies, with a focus on satellite sensor characteristics, advanced image processing techniques and real-world applications. To enable students recognise the latest research and developments in remote sensing technology and techniques and gain an insight into applications from across the geosciences and those related to environmental and sustainability challenges.
The students enhance their knowledge on advanced considerations of the interactions of electromagnetic radiation with the Earth’s surface and atmosphere. The students learn to describe and understand multispectral, hyperspectral and radar remote sensing as well as to learn field spectroscopy. The students will gain expertise on advanced image processing techniques. The students apply their knowledge on applications of remote sensing in mapping, environmental Earth observation and global change monitoring. Finally the students recognize the challenges and opportunities for remote sensing now and in the future.
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 20 | 1:00 | 20:00 | lecture materials |
| Guided Independent Study | Assessment preparation and completion | 1 | 10:00 | 10:00 | Coursework submission |
| Scheduled Learning And Teaching Activities | Practical | 4 | 3:00 | 12:00 | 4 computer-based practicals |
| Guided Independent Study | Directed research and reading | 1 | 20:00 | 20:00 | Lecture follow up |
| Guided Independent Study | Independent study | 1 | 38:00 | 38:00 | Reading-reflective learning |
| Total | 100:00 |
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 short essay.
Alternative will be offered to students who are unable to be present in person.
The format of resits will be determined by the Board of Examiners
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 90 | 2 | A | 70 | In person exam |
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Computer assessment | 2 | M | 15 | 2 Online assessed quizzes via Canvas |
| Report | 2 | M | 15 | 600-word short essay on critical review questions via Canvas |
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 assessment | 2 | M | 2 Online quizzes via Canvas of the first two practicals. |
A formal written examination will be used to assess understanding of lectured theoretical concepts and principles, reviewing development, application as well as image processing methodologies and data analysis, accounting for the majority of summative module assessment (70%).
Progress will be assessed via online Canvas quizzes for the last two practicals (15%). Students will be asked to evaluate two remote sensing publications in a short essay (15%), that way improving critical review skills. The first two practicals will include online Canvas quizzes, for supporting their understanding, but those will not be formally assessed.