Module Details
| Module Code: |
INTR8044 |
| Title: |
GIS and Remote Sensing
|
|
Long Title:
|
GIS and Remote Sensing
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| NFQ Level: |
Advanced |
| Valid From: |
Semester 1 - 2022/23 ( September 2022 ) |
| Field of Study: |
5213 - Interdisciplinary Engineering
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| Module Description: |
The student will learn the use of GIS for data acquisition, analysis, and management. The student will work on spatial data in both raster and vector format, as well as satellite data in this module. Topics including the development of high-resolution professional maps using advanced editing tools, analysis of remote sensing data, 3D visualization of spatial data, multicriteria analysis, automation of GIS workflow using graphical modeller will be introduced to the students.
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| Learning Outcomes |
| On successful completion of this module the learner will be able to: |
| # |
Learning Outcome Description |
| LO1 |
Develop theoretical and practical knowledge on different types of spatial data including raster, vector, RADAR and remote sensing multispectral data. |
| LO2 |
Use multicriteria analysis on spatial data for decision making. |
| LO3 |
Use a 3D visualization tool to create maps by integrating 2D spatial data and elevation information. |
| LO4 |
Use open source remote sensing data from different services provided by European Space Agency and NASA to analyse the raw multispectral satellite data using supervised and unsupervised classification algorithms for developing landcover maps. |
| LO5 |
Analyse RADAR data to perform change detection analysis. |
| Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
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Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
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| No incompatible modules listed |
Co-requisite Modules
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| No Co-requisite modules listed |
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
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| No requirements listed |
| Indicative Content |
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Spatial Analyst Tool
Understanding the spatial analysis tools in the GIS software to perform interpolation using kriging; converting raster and vector data; creating composite images by combining multispectral bands data; combining multiple spatial data to generate new shapefiles by using clipping, erase, intersect and buffer tools.
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Multicriteria Analysis
Coupling multiple geo-spatial data and information to generate maps as end-product which can be readily used by policy makers to take decisions.
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3D Visualization
Integrating 2D spatial data with elevation information to create 3D visual maps.
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Satellite Database
Accessing open source multispectral and RADAR database obtained by LANDSAT and SENTINEL satellites from European Space Agency and NASA websites.
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Landcover Classification
Using unsupervised and supervised classification algorithms to develop landcover maps from multispectral satellite data and using google earth data for accuracy assessment.
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RADAR Data Analysis
Performing atmospheric correction of RADAR data and using the data for change detection of landcover in Irish catchments.
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Module Content & Assessment
|
| Assessment Breakdown | % |
|---|
| Coursework | 100.00% |
Assessments
| No End of Module Formal Examination |
| Reassessment Requirement |
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
|
The University reserves the right to alter the nature and timings of assessment
Module Workload
| Workload: Full Time |
| Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
| Lab |
Contact |
GIS software laboratory |
Every Week |
3.00 |
3 |
| Independent & Directed Learning (Non-contact) |
Non Contact |
Completion of laboratory assignments |
Every Week |
4.00 |
4 |
| Total Hours |
7.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
3.00 |
| Workload: Part Time |
| Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
| Lab |
Contact |
GIS software laboratory |
Every Week |
3.00 |
3 |
| Independent & Directed Learning (Non-contact) |
Non Contact |
Completion of laboratory assignments |
Every Week |
4.00 |
4 |
| Total Hours |
7.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
3.00 |
|
Module Resources
|
| Recommended Book Resources |
|---|
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Ian Heywood, Sarah Cornelius, Steve Carver. (2011), An Introduction to Geographical Information Systems, [ISBN: 9780273722595].
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Jian Guo Liu and Philippa J. Mason. (2016), Image Processing and GIS for Remote Sensing : Techniques and Applications, [ISBN: 9781118724194].
| | Supplementary Book Resources |
|---|
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Ana Cláudia Teodoro. (2018), GIS - an Overview of Applications, [ISBN: 9781681086125].
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Joseph Kerski and Jill Clark. (2012), GIS Guide to Public Domain Data, [ISBN: 9781589483170].
| | This module does not have any article/paper resources |
|---|
| Other Resources |
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Website, Geological Survey of Ireland,
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Website, Central Statistics Office,
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Website, Ordnance Survey Ireland,
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Website, Ireland's Open Data Portal,
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Website, OpenStreetMap data for Ireland and
Northern Ireland,
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Website, Office of Public Works Flood Information
Portal,
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