The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVIII-4/W12-2024
https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024
https://doi.org/10.5194/isprs-archives-XLVIII-4-W12-2024-75-2024
20 Jun 2024
 | 20 Jun 2024

XDGGS: A community-developed Xarray package to support planetary DGGS data cube computations

Alexander Kmoch, Benoit Bovy, Justus Magin, Ryan Abernathey, Alejandro Coca-Castro, Peter Strobl, Anne Fouilloux, Daniel Loos, Evelyn Uuemaa, Wai Tik Chan, Jean-Marc Delouis, and Tina Odaka

Keywords: Discrete Global Grid Systems, Xarray, Geospatial Data Cube, Earth Observation, open-source collaboration

Abstract. Traditional map projections introduce distortions, especially for global data. Discrete Global Grid Systems (DGGS) offer an alternative by dividing the Earth into equal-area grid cells at different resolutions. This paper describes xdggs, a new Xarray extension that simplifies working with DGGS. Xdggs provides a unified API for various DGGS libraries and integrates seamlessly with the Pangeo ecosystem through extending the widely used Xarray library to use the DGGS-specific cell identifiers as an index. This development makes DGGS more accessible and will lead to facilitating data analysis on a planetary scale.
Xdggs aims to provide a user-friendly API that hides the implementation complexities of different DGGS libraries. And because it integrates seamlessly with Xarray, a popular tool for geospatial data analysis, xdggs promotes FAIR data practices by simplifying data access and interoperability and can become a valuable tool for geospatial scientists and application developers working with global datasets.