Last modified: 31 Jul 2023 11:19
This course will provide an overview of planetary remote sensing principles and methods. The students will be trained on performing geospatial integration and analysis of different spatial datasets. This course introduces the students to the theoretical problems and practice of data capture, handling and methods of analysis of spatial data.
| 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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This course introduces remote sensing - the acquisition of information from a distance, typically via airborne and spaceborne sensors, and the integration and analysis of remotely sensed data in a geospatial environment. The students will learn about different approaches to explore spatial data collection, analysis and geo-visualisation with the practical use of ArcGIS (and other) GIS software.
Outline of topics:
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 50 | |
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| Assessment Weeks | Feedback Weeks | |||
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Assessment component B Mapping exercise – 1 You will be required to submit a map with a short report according to the provided instructions.
Assessment - week 10 1st sub-session Feedback - week 11 1st sub-session |
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| Assessment Type | Summative | Weighting | 50 | |
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| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Assessment component A Remote sensing assignment. You will be required to submit solutions to a assignment consisting of a set of problems in the principles of remote sensing. Assessment - week 5 1st sub-session Feedback - week 6 1st sub-session |
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| Knowledge Level | Thinking Skill | Outcome |
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There are no assessments for this course.
| Assessment Type | Summative | Weighting | 100 | |
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| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Original assessment weighting. |
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| Knowledge Level | Thinking Skill | Outcome |
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| Knowledge Level | Thinking Skill | Outcome |
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| Conceptual | Understand | Grasp main physical principles behind remote sensing in terms of different types of wave transmission, propagations, absorption, reflection and detection. |
| Conceptual | Understand | Appreciate the nature of spatial data, map co-ordinate systems, map projections, and datums |
| Conceptual | Understand | Understand basic GIS functionality available in GIS software |
| Factual | Evaluate | Appreciate advantages and disadvantages of remote sensing using different parts of the electromagnetic spectrum given the object to be sensed and environment of wave propagation. |
| Procedural | Remember | Understand the fundamentals of Cartography, Map Design and Geo-visualisation |
| Procedural | Analyse | Understand real synthetic aperture radars and their fundamental data gathering and imaging principles. |
| Factual | Remember | Recognise basic remote sensing techniques available for different sensing requirements. |
| Conceptual | Apply | Perform basic fundamental spatial analyses of environmental data using ArcGIS and other GIS software |
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