Joss paper #62
Joss paper #62
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Hi @SarahAlidoost and @FreekvanLeijen, I drafted a JOSS paper for SARXarray according to this guideline. I put both of you as authors of this paper since you both have significant contribution in the concept and implementation. When you have time, can you review this draft? You can find a rendered paper in the artifact of the github workflow. |
paper/paper.md
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| - Installation and data preparation | ||
| - Lazy loading a SAR data stack in binary format as an Xarray Dataset | ||
| - Attaching attributes to the loaded stack | ||
| - Applying a simple SAR operation on the loaded stack |
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| - Applying a simple SAR operation on the loaded stack | |
| - Applying common SAR operations on the loaded stack such as Multi-Looking and Mean-Reflection-Map |
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can we also add an example of "complex_coherence" to the notebook?
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Added coherence computation to the bulletpoint
paper/paper.md
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| ## Acknowledgements | ||
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| The authors express sincere gratitude to the Dutch Research Council (Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO) for their generous funding of the `SARXarray` development through the Collaboration in Innovative Technologies (CIT 2021) Call, grant NLESC.CIT.2021.006. Special thanks to SURF for providing valuable computational resources for `SARXarray` testing. |
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Regarding SURF acknowledgement, if the project has received a grant from SURF for using resources, the Acknowledgement text is mentioned in the grant agreement. Please use that text here.
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Thanks @SarahAlidoost, I included the surf grant numbers here
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@rogerkuou thanks for preparing the draft. I left some comments, please let me know if something is unclear.
Co-authored-by: SarahAlidoost <55081872+SarahAlidoost@users.noreply.github.com>
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Hi @SarahAlidoost, thanks for reviewing the JOSS paper and apoligies for only reacting till now. Can I adapted all your suggestions. Can you give another look? |
Joss paper