|Delivery length / details
|11 x 2 Hour Practicals
|11 x 2 Hour Lectures
|Assessment length / details
|Coursework. fieldwork report based on analysis of remote sensing data (3000 words)
|3 Hours 3 hours practical-based examination Departmental exam C17
|Resubmission of failed assignment
|3 Hours Supplementary Exam To be scheduled in F4, due to nature of computers used for exam.
On successful completion of this module students should be able to:
- Identify, for particular applications, the most appropriate remote sensing datasets.
- Independently using remote sensing software for the analysis of multispectral, hyperspectral, lidar and radar data.
- Implement approaches to the derivation of products from remote sensing data (e.g., vegetation indices and digital elevation models).
- Undertake field studies to support the interpretation and analysis of remote sensing data.
- Be able to apply an object oriented classification of remote sensing imagery
This module is intended to provide students with a background in advanced processing and analysis of a range of remote sensing data with a focus on the practical implementation of methods for environment applications. The module also includes a field visit within the local area, during which insight into the interpretation of remote sensing data acquired by a range of sensors will be obtained.
- Object-orientated image analysis and classification
- Techniques for change detection between datasets
- Hyperspectral data analysis
- Laser scanning
- Radar data anaylsis
- Thermal remote sensing data analysis
|Application of Number
|Problem solving assignment
|Skills report writing and submission of a discussion paper. Discussion groups within the Blackboard teaching and learning environment
|Improving own Learning and Performance
|Library and web-based referencing; literature review and discussions with scientists
|Use of commercial and open sources software for practical applications. Specific skills in programming and statistical analysis.
|Personal Development and Career planning
|Awareness of scientific literature, functionality of software and programming. Provision of advice and information for careers.
|Image classification through programming and development of skills in remote sensing data interpretation; awareness of scientific literature and future directions for research.
|Basic strategies relating to remote sensing data sources and acquisition strategies, data integration and processing within the framework of a GIS and effective analysis and interpretation of remote sensing data, field data collection to support interpretation of remote sensing data. Reviewing literature.
|Subject Specific Skills
|Fieldwork will be undertaken in groups who will be involved in decisions relating to data collection and image analysis and interpretation
This module is at CQFW Level 7