Module Information
Module Identifier
EAM4020
Module Title
Fundamentals of Remote Sensing and GIS
Academic Year
2020/2021
Co-ordinator
Semester
Semester 1
Other Staff
Course Delivery
Assessment
Due to Covid-19 students should refer to the module Blackboard pages for assessment details
| Assessment Type | Assessment length / details | Proportion |
|---|---|---|
| Semester Exam | 2 Hours Written examination on theory and practice in Remote Sensing and GIS | 50% |
| Semester Assessment | Coursework: laboratory skills report based on analysis of Remote Sensing and GIS datasets (3000 words) | 50% |
| Supplementary Exam | 2 Hours Resubmission of failed assessments | 50% |
| Supplementary Assessment | Resubmission of failed assessments | 50% |
Learning Outcomes
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.
Brief description
The module provides an overview of basic theory and practice in Remote Sensing and GIS.
Content
- 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)
Module Skills
| Skills Type | Skills details |
|---|---|
| Application of Number | Quantitative analysis of Remote Sensing and GIS data |
| Communication | Discussions with fellow students in laboratories and through interactive lectures |
| Improving own Learning and Performance | Literature review and discussions with lecturers |
| Information Technology | 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. |
| Problem solving | 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 |
| Research skills | Using remote sensing and GIS software and reviewing literature |
| Subject Specific Skills | As above |
| Team work | Practical assignments |
Notes
This module is at CQFW Level 7