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The knowledge hub brings together information about Digital Earth Australia’s products and services, allowing you to utilize our free and open-source satellite imagery archive. Browse our catalog of data products to find supporting information and ways to access the data. The Digital Earth Australia notebooks and tools repository (dea-notebooks) hosts Jupyter Notebooks, Python scripts and workflows for analyzing Digital Earth Australia (DEA) satellite data and derived products. This documentation is designed to provide a guide to getting started with DEA, and to showcase the wide range of geospatial analyses that can be achieved using DEA data and open-source software including Open Data Cube and xarray.
Features
- Introductory notebooks aimed at introducing Jupyter Notebooks and how to load, plot and interact with DEA data
- Notebooks introducing DEA's satellite datasets and derived products, including how to load each dataset and any special features of the data
- Interactive apps and widgets that require little or no coding to run
- A recipe book of simple code examples demonstrating how to perform common geospatial analysis tasks using DEA and open-source software
- More complex case study workflows demonstrating how DEA can be used to address real-world problems
- Python module dea-tools, containing functions and algorithms developed to assist in analysing DEA data
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Data VisualizationLicense
Apache License V2.0Follow Digital Earth Australia notebooks
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