Cloud-native geospatial data cube workflows with open-source tools

Jupyter Notebook Python Submitted 01 June 2024Published 04 July 2025
Review

Editor: @kls2177 (all papers)
Reviewers: @mikemorris12 (all reviews), @r-ford (all reviews)

Authors

Emma Marshall (0000-0001-6348-977X), Deepak Cherian (0000-0002-6861-8734), Scott Henderson (0000-0003-0624-4965), Jessica Scheick (0000-0002-3421-4459), Richard Forster (0000-0003-3945-5072)

Citation

Marshall et al., (2025). Cloud-native geospatial data cube workflows with open-source tools. Journal of Open Source Education, 8(89), 267, https://doi.org/10.21105/jose.00267

@article{Marshall2025, doi = {10.21105/jose.00267}, url = {https://doi.org/10.21105/jose.00267}, year = {2025}, publisher = {The Open Journal}, volume = {8}, number = {89}, pages = {267}, author = {Emma Marshall and Deepak Cherian and Scott Henderson and Jessica Scheick and Richard Forster}, title = {Cloud-native geospatial data cube workflows with open-source tools}, journal = {Journal of Open Source Education} }
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Remote Sensing Earth Science Geospatial data cubes Cryosphere Xarray Cloud-optimized data

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ISSN 2577-3569