Overview
Students extend their knowledge of satellite and airborne Earth observation systems, exploring the use of satellite constellations and modern airborne and satellite observation systems, including satellite RADAR and hyperspectral sensors. Processing of digital data deals with time series analysis, polarimetric SAR and advanced classification procedures, including contextual analysis and different … For more content click the Read More button below.
Topic availabilities
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Tuition pattern
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Aims
To deepen the knowledge and application of Earth observation theory and practice.
Learning outcomes
On completion of this topic you will be expected to be able to:
1.
Successfully select appropriate Earth observation sensors for a range of applications
2.
Demonstrate the application of artificial intelligence to extract robust information from Earth observation data
3.
Apply time series analysis of Earth observation data to detect anomalies
4.
Use computers to analyse hyperspectral images to detect land cover
5.
Demonstrate the use of imaging RADAR to detect object structure
6.
Compare pixel-based classification algorithms with contextual algorithms
7.
Relate findings from relevant literature to the results of Earth observation analytical work
Assessments
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Current students should refer to FLO for detailed assessment information, including due dates. Assessment information is accurate at the time of publishing.
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Requisites information
Pre-requisites:
Anti-requisites: