Last modified: 23 Jul 2024 10:43
This module will introduce students to remote sensing techniques and fundamental geospatial tools for displaying and analysing geospatial data. This will include: navigation, measurement, spatial queries, geocoding, scripting, buffering, digitising, and overlay analysis. Several ‘real world’ examples will be used to illustrate the application of the tools for data exploration, spatial analyses, mapping, and visualisation. Emphasis will be placed on obtaining a sound understanding of the principles of each technique, as well as the importance of selecting the correct approach to a problem, analysing the data, and interpretation of the results.
Study Type | Postgraduate | Level | 5 |
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Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Aberdeen | Sustained Study | No |
Co-ordinators |
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There are three parts of the course. Part one focuses on the brief introduction to geospatial datasets and a GIS software (ArcMap/ArcGIS Pro). Part two is focussed on the theoretical understanding of the remote sensing techniques and application. Part three, is a set of multiple practical exercises in which a different real-world problem is introduced to the students with fixed objectives and the students are required to complete these objectives using a GIS software.
Assessment Type | Summative | Weighting | 40 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
40% of the final marks in the course comprises of the theoretical understanding of geospatial datasets and remote sensing techniques using GIS tools for image analyses. |
Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 60 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
The second assessment (weighing 60%) requires students students to apply different GIS tools to analyse data and then interpret and write a report. |
Knowledge Level | Thinking Skill | Outcome |
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There are no assessments for this course.
Knowledge Level | Thinking Skill | Outcome |
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Factual | Remember | ILOs for this course are available in the course guide. |
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