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Unit of study_
ENVX4001: GIS, Remote Sensing and Land Management
2024 unit information
This unit of study is aimed at developing advanced skills in spatial predictive modelling including mapping of environmental properties and image classification. The units begins with an introductory module on key concepts in GIS, and the use of the R ecosystem for spatial science. In this module you will learn how to process spatial data in a reproducible manner and get it into a format ready for spatial modelling. In the second module we will cover spatial modelling approaches including geostatistics, statistical and machine learning models. Finally, in the third module you will have an opportunity to apply your knowledge in a spatial modelling project of your choice.
Unit details and rules
Managing faculty or University school:
Life and Environmental Sciences Academic Operations
| Code | ENVX4001 |
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| Academic unit | Life and Environmental Sciences Academic Operations |
| Credit points | 6 |
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Prerequisites:
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144 cp of 1000-3000 level units |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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Basic GIS knowledge. Completion of at least a major or minor |
At the completion of this unit, you should be able to:
- LO1. Demonstrate proficiency in the use of R as a tool for analysis of spatial data including its acquisition, processing, modelling and display
- LO2. Demonstrate proficiency in the use of Google Earth Engine for acquisition and processing of remote sensing datasets
- LO3. Develop skills in using geostatistical models to predict and map environmental properties in space and time
- LO4. Develop skills in using statistical and machine learning models to predict and map environmental properties in space and time
- LO5. Develop skills in the presentation of spatial modelling results in the form of written reports and presentations
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
Modes of attendance (MoA)
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