For developers Training: DEA for Geospatial Analysts
Get familiar with DEA’s development sandbox using Python to access and explore DEA satellite data.
Last updated:18 June 2024
Satellite imagery and data provides us with valuable information about the state and evolution of our environment, but collections of satellite images are often extremely large, presenting a significant challenge to users wanting to process or store the data.
This two-day in-person and online live course, facilitated by our partners at the Australian National University (ANU), presents the tools and techniques for processing satellite imagery and data using basic Python.
The Digital Earth Australia (DEA) Open Data Cube enables users to perform large-scale analysis of satellite data on personal computers.
Using a high-performance storage and computing platform and commercial cloud, DEA offers the tools to search and analyse high-quality satellite image collections that span more than 30 years, covering the entire Australian continent. This course presents the tools and techniques for processing satellite imagery through practical examples and the DEA Sandbox.
By the end of the course, participants will have the necessary knowledge to use satellite data and apply it to solve a wide range of analytical problems using Python.
The training focuses on understanding and using:
- Python and Jupyter for spatial data (Introduction to scientific Python, Numpy, Matplotlib and xarray libraries)
- The DEA Open Data Cube (examples of querying, loading, processing, and exporting data)
- Geospatial analysis using DEA
- Machine learning to create models based on DEA data
More information and course materials are available.
Express your interest in our next training course.
Related resources
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Training: DEA for Geospatial Analysts
Get familiar with DEA’s development sandbox using Python to access and explore DEA satellite data.
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