Earth Observation Data Analysis Short Course
This short course will cover a hands-on introduction to satellite imagery, image processing, and Earth observation data analysis techniques.
Through examples involving real-world data, you will learn the fundamentals of Data Science analyses and image processing, how to obtain satellite imagery and combine it with other georeferenced datasets, and how to explore research questions using satellite imagery. You will ultimately learn how to develop a software pipeline to extract, manipulate, and visualise Earth Observation (EO) imagery.
Course dates
Oct 15 - Nov 14, 2024. This includes 10 hands-on workshops: 2 x 2-hour workshops in the first two weeks, and 2 x 3-hour workshops in the final three weeks.
Course content
The workshops and online material will include explanations of key concepts, hands-on coding exercises, and applied EO data analysis projects where you can apply your new skills to real-world satellite imagery. The course will cover the following key themes:
Satellite imagery fundamentals
- Different types of satellites and associated imagery
- Fundamentals of image processing
- Satellite orbits and Earth observation sensors
Data Science best practise
- Cleaning, validating, and transforming your data
- Coding best practise
- Data science project organisation
Visualising satellite imagery
- Basic data visualisation in Python and Matplotlib
- Combining raster and vector images
- Interactive maps with Folium
Earth observation data platforms
- Digital Earth Australia Sandbox
- Google Earth Engine
- Extracting relevant satellite imagery
Data analyses with satellite imagery
- Exploring research questions with satellite imagery
- Mapping vegetation and greenhouse gas concentrations
- Time-series analysis and change mapping
- Performing global analyses
Course location
The workshops will be delivered face-to-face at Swinburne University of Technology in Hawthorn, Victoria, Australia, as well as online for those that cannot make it to campus.
Multi-ticket 25% discount
If you wish to purchase more than one ticket for your company, note that you will receive a 25% discount - simply purchase two or more tickets in the one transaction, and the 25% discount will automatically be applied to all tickets. Contact Steve Petrie if you have any issues applying the multi-ticket discount.
Event contact
Dr Steve Petrie spetrie@swin.edu.au
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