Getting started
To access DEA data and resources, use one of our DEA Services. Or, to use DEA Products, you can get started quickly by using pre-built instances and examples and installing some software tools.
Which DEA Services to use?
DEA provides multiple services which enable you to access our data and resources. We have created this matrix to help you decide which service to use. (The matrix may scroll to the right.)
| DEA Knowledge Hub | DEA Maps | DEA Explorer | DEA Sandbox | NCI | STAC | AWS | DEA WMS | DEA WCS | |
| Understand the data | Browse product knowledge | Partial | Partial | Partial | Partial | Partial | Partial | Partial | Partial |
| View large data volumes | No | View data on a map | No | Partial | Partial | View data using STAC | No | View on the WMS | Partial |
| Download data | No | Partial | Download via Explorer | Partial | Partial | Download via STAC | Download via AWS | No | Download via WCS |
| Analyse data | No | No | No | Analyse in the Sandbox | Analyse in the NCI | Partial | No | No | Analyse using WCS |
| Explore data availability | No | Partial | Explore availability in the Explorer | Partial | Partial | Query data availability | No | No | No |
| Difficulty level | Beginner | Beginner | Beginner | Intermediate | Intermediate | Advanced | Intermediate | Intermediate | Intermediate |
Instances
You can access either of the two pre-built instances:
Digital Earth Australia Sandbox — Suitable for all users, containing a representative sample of available data.
National Computational Infrastructure (NCI) — Contains all available data, but users must apply for approval to be granted an account.
Examples
Examples of using code to work with DEA data are provided as interactive Jupyter Notebooks. These can be run in either instance: DEA Sandbox or NCI.
Installing software
The main software used for DEA data can easily be installed, especially if you are familiar with Python.
Getting help
To ask a question, and to view answers to previous questions, visit the Open Data Cube Stack Exchange. When asking a question, please use the open-data-cube tag.
You can also use the Open Data Cube Discord chat.