Welcome to the Geoneon Public Notebooks repository! This collection is designed for researchers, data scientists, educators, and enthusiasts working in the field of Earth observation (EO) and geospatial data analysis.
The notebooks in this repository are for reference and demonstration purposes. We provide examples of how to access and analyze data from different EO platforms. These notebooks are created for use within our own analysis and research. For indepth tutorials and guides we recommend visiting the official documentation of the EO platforms.
The Planetary Computer is a platform that enables researchers to access and analyze petabytes of geospatial data. It provides a cloud-based environment for working with large-scale raster, vector, and tabular data, and includes a growing collection of open datasets and analysis tools. The folder contains our public notebooks that demonstrate how to use the Planetary Computer to access and analyze data.
For more information on the Planetary Computer, visit the Planetary Computer website or documentation.
The Digital Earth Australia (DEA) platform provides an open and freely accessible archive of Earth observation data for Australia. Coupled with a powerful and scalable computing environment to enable users to perform analysis on a wide range of data sources.
For more information about DEA, visit the DEA website or documentation.
To begin working with the Geoneon Public Notebooks, ensure you have the following prerequisites:
- An understanding of Python and Jupyter notebooks.
- Access to the EO platform(s) you're interested in.
- Login to the platform and launch a cluster
- Upload the notebooks and data to the platform and run them.
If you encounter any problems or have questions, please open an issue in this repository. Our team or community members will assist you as soon as possible.
This project is licensed under the MIT License - see the LICENSE file for details.