Module Identifier | EAM1720 | |||||||||||||||||
Module Title | ADVANCED TECHNIQUES IN REMOTE SENSING | |||||||||||||||||
Academic Year | 2007/2008 | |||||||||||||||||
Co-ordinator | Professor Richard M Lucas | |||||||||||||||||
Semester | Semester 2 | |||||||||||||||||
Other staff | Dr Aled P Rowlands, Mr Peter Bunting | |||||||||||||||||
Pre-Requisite | EAM1320 | |||||||||||||||||
Course delivery | Lecture | 10 x 1 hours | ||||||||||||||||
Practical | 10 x 1 hours | |||||||||||||||||
Other | Field study visit (2 x 8 hours) | |||||||||||||||||
Assessment |
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Practicals
Field trip (2 days)
Problem solving | Computer programming and development of skills in remote sensing (e.g., generation of digital elevation models). | ||
Research skills | 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. | ||
Communication | 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. | ||
Team work | Fieldwork will be undertaken in groups who collectively will be involved in the experimental design. | ||
Information Technology | Use of commercial remote sensing software (IDL ENVI, eCognition, SOCET SET, Gamma and Erdas imagine) software for practical applications. Specific skills in programming and statistical analyses. | ||
Personal Development and Career planning | Provision of advice and information on careers. | ||
Subject Specific Skills | Use of imaging processing software. |
This module is at CQFW Level 7