1 x 2-hour lecture weekly 1 x 2-hour computer lab weekly 1 x 1-day excursion per semester
^ = may be enrolled concurrently
1 ^ STEM8002 - Introduction to Geographical Information Systems GE 2 1 of STEM1002, GEOG1003, GEOG2700, GEOG8700, GIST1201 Must Satisfy: ((1) or (2))
Enrolment not permitted
1 of GEOG2701, GEOG8701, STEM2001 has been successfully completed
Assignment(s), Report, Test(s)
This topic will introduce students to the theory and application of remote sensing. The topic is designed for students across a wide range of disciplines. Topic material includes the nature of electromagnetic radiation, its interaction with the atmosphere and earth surface features; sensors and data sources; the treatment of distortion in remotely sensed imagery, image classification and field training and testing. Hexagon’s professional image processing software (M.Apps and Geospatial) is used to provide students with hands-on experience. Students will also be introduced to a range of digital image analysis techniques that are used to extract useful Earth resource information from imagery.
The topic aims to introduce students to the theory and application of remote sensing while also providing experience in the use of remote sensing software that will furnish students with skills of vocational value applicable to a range of areas such as Archaeology, Biodiversity Conservation, Earth Sciences, Geography and Environmental Monitoring and Mapping.
Expected learning outcomes
On completion of this topic, students will be expected to be able to:
Identify the fundamental characteristics of electromagnetic radiation and how this energy interacts with the atmosphere and Earth surface materials such as vegetation, soil and water
Identify how electromagnetic energy reflected or emitted from materials are recorded using a variety of remote sensing instruments
Explain the nature of geometric and radiometric error and how to correct or minimise these distortions in remotely sensed imagery
Explain appropriate field sampling techniques to assist in image interpretation and analysis of results
Extract land-cover information from remotely sensed data and describe the nature of both unsupervised and supervised classification methodology
Demonstrate the use of professional image processing for visualisation, geometric correction and inquiry of remotely sensed data
Produce a research report in accordance with good scholarly practice at a postgraduate level.
Key dates and timetable
Timetable details for 2019 are no longer published.
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