UAV Data Analysis
Overview
This unit aims to equip students with comprehensive knowledge and practical skills necessary for acquiring, managing, processing, and interpreting data collected by Unmanned Aerial Vehicles (UAVs) or drones. Upon completion, students will be capable of planning UAV data acquisition missions, processing aerial imagery, and employing Geographic Information Systems (GIS) to effectively interpret UAV-derived datasets for practical decision-making.
Requisites
01-November-2026
Unit learning outcomes
Students who successfully complete this unit will be able to:
- Explain the concepts, workflows, and technologies involved in UAV-based data acquisition
- Plan and evaluate UAV data acquisition missions, considering the technical, operational and regulatory requirements
- Effectively manage and process data collected by UAVs using Geographic Information Systems (GIS) for use in analysis
- Analyse, visualize, and interpret geospatial information for various UAV applications
- Critically evaluate the strengths, challenges, and limitations associated with UAV-based data collection and analysis
Teaching methods
All applicable locations
| Activity Type | Hours per week | Number of weeks | Total (number of hours) |
|---|---|---|---|
On-Campus Lecture |
1 | 12 weeks | 12 |
| On-Campus Workshop | 2 | 12 weeks | 24 |
| Online Learning Activities | 1 | 12 weeks | 12 |
| Unspecified Learning Activities (Independent Learning) | 8.5 | 12 weeks | 102 |
| Total | 150 |
Assessment
| Type | Task | Weighting | ULOs |
|---|---|---|---|
| Assignment | Individual | 20 - 40 % | 1, 2, 3, 4 |
| Presentation | Group | 10 - 30 % | 1, 2, 3, 4, 5 |
| Project | Group | 20 - 40 % | 1, 2, 3, 4, 5 |
| Quizzes | Individual | 10 - 30 % | 1, 3, 5 |
Content
UAV data acquisition workflows
- Overview of UAV data acquisition technologies and methods
- UAV data acquisition mission planning and execution
Basis of UAV data processing
- Introduction to geospatial analysis platforms such as ArcGIS and QGIS
- Fundamental of geospatial operations such as buffering, clipping, and clustering
- Georeferencing, mapping, and visualisation
- Vector and raster data
Geospatial analysis of aerial imagery
- Raster calculation such as normalised difference vegetation index, slope, and aspect
- Data classification and feature extraction
- Scenario-based applications and projects such as bushfire risk analysis, flood risk assessment, forestry change detection, location selection, urbanisation planning
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.