Gwybodaeth Modiwlau
Course Delivery
Assessment
Assessment Type | Assessment length / details | Proportion |
---|---|---|
Semester Assessment | Coursework: laboratory skills report based on analysis of Remote Sensing and GIS datasets 3000 Words | 50% |
Semester Exam | 2 Hours Written Examination on theory and practice in Remote Sensing and GIS | 50% |
Supplementary Assessment | Coursework (Resubmission of failed assessments) 3000 Words | 50% |
Supplementary Assessment | 2 Hours Written Examination (Resubmission of failed assessments) | 50% |
Learning Outcomes
On successful completion of this module students should be able to:
Describe and evaluate different sources of geospatial data and how these can be used in real-world applications
Design and implement routines for analysing satellite imagery in a GIS
Design and implement routines for analysing multiple sources of geospatial data in a GIS
Demonstrate an understanding of the fundamentals of the electromagnetic spectrum in the context of Earth Observation
Demonstrate an understanding of the fundamentals of data projections and coordinate systems
Demonstrate an understanding of the fundamentals of geospatial data formats, data types and data management
Brief description
An introduction to core theory and skills related to remote sensing and Geographical Information Systems
Content
- Coordinate systems
- Spatial data types and management
- Vector GIS processing and analysis
- Raster GIS processing and analysis
- Earth Observation image analysis
- Active and passive Earth Observation systems
- Fundamentals of GIS processing and analysis
- Spatial pattern analysis
These themes will be delivered in the context of real-World applications including important environmental challenges.
Module Skills
Skills Type | Skills details |
---|---|
Application of Number | Quantitative analysis of geospatial 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 and open source 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 |
Real world sense | Applicability of geospatial dataset and 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