Python Package for Satellite Bucket Archive Creation
Project description
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🚀 Quick start
sat-bucket provides an easy-to-use way to rearchive satellite data archives in order to blazing fast point/regional temporal queries as well as construct gridded data cube.
📖 Explore the sat-bucket documentation
To discover all sat-bucket features, please read the software documentation available at https://sat-bucket.readthedocs.io/en/latest/.
If you are new to sat-bucket, we recommend starting with the following pages:
- TODO
All sat-bucket tutorials are available as Jupyter Notebooks in the tutorial directory.
🛠️ Installation
conda
sat-bucket can be installed via conda on Linux, Mac, and Windows. Install the package by typing the following command in the terminal:
conda install satellite-bucket
In case conda-forge is not set up for your system yet, see the easy to follow instructions on conda-forge.
pip
sat-bucket can be installed also via pip on Linux, Mac, and Windows.
On Windows you can install WinPython to get Python and pip running.
Prior installation of sat-bucket, try to install to cartopy>=0.21.0 package to ensure there are not GEOS library version incompatibilities.
If you can't solve the problems and install cartopy with pip, you should install at least cartopy with conda using conda install cartopy>=0.21.0.
Then, install the sat-bucket package by typing the following command in the terminal:
pip install satellite-bucket
To install the latest development version via pip, see the documentation.
💭 Feedback and Contributing Guidelines
If you aim to contribute your data or discuss the future development of sat-bucket, we highly suggest to join the Slack Workspace
Feel free to also open a GitHub Issue or a GitHub Discussion specific to your questions or ideas.
Citation
If you are using sat-bucket in your publication please cite our Zenodo repository:
If you want to cite a specific software version, have a look at the Zenodo site.
License
The content of this repository is released under the terms of the MIT license.
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