Due to Covid-19 students should refer to the module Blackboard pages for assessment details
|Assessment length / details
|2 Hours Written examination on theory and practice in Remote Sensing and GIS
|Coursework: laboratory skills report based on analysis of Remote Sensing and GIS datasets (3000 words)
|2 Hours Resubmission of failed assessments
|Resubmission of failed assessments
On successful completion of this module students should be able to:
- Demonstrate a critical knowledge of sources of elecromagnetic radiation and sensing techniques.
- List, describe and evaluate main sources of Remote Sensing and GIS data
- Implement standard methods for Remote Sensing data calibration and pre-processing.
- Explain the functionality of available software and routines for processing Remote Sensing and GIS data.
- Design and implement basic routines for processing and analysing data within the framework of a GIS.
The module provides an overview of basic theory and practice in Remote Sensing and GIS.
- The electromagnetic spectrum and overview of sensors (IGES)
- Basic principles of GIS ? raster and vector datasets (IGES)
- Thermal, lidar and microwave sensing (IMAPS)
- Spectral signatures (IBERS)
- Calibration and correction of remote sensing data (IGES)
- Spatial databases (IGES)
- Image processing and classification (Comp. Sci/IGES)
- Open source tools for RS and GIS data processing (IGES)
- Data sources and integration within a GIS (IGES)
|Application of Number
|Quantitative analysis of Remote Sensing and GIS data
|Discussions with fellow students in laboratories and through interactive lectures
|Improving own Learning and Performance
|Literature review and discussions with lecturers
|Use of commercial, open source and in house software
|Personal Development and Career planning
|Awareness of scientific literature, functionality of a variety of software packages.
|Completing calculations in relation to electromagnetic theory, image pre-processing and spectral analysis. Also, the use of GIS for spatial analysis; selection of datasets and implementation of appropriate analysis techniques
|Using remote sensing and GIS software and reviewing literature
|Subject Specific Skills
This module is at CQFW Level 7