Working paper at arXiv, Mar 2024
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Abstract. We make a case for "planetary computing" -- infrastructure to handle the ingestion, transformation, analysis and publication of global data products for furthering environmental science and enabling better informed policy-making. We draw on our experiences as a team of computer scientists working with environmental scientists on forest carbon and biodiversity preservation, and classify existing solutions by their flexibility in scalably processing geospatial data, and also how well they support building trust in the results via traceability and reproducibility. We identify research gaps in the intersection of computing and environmental science around how to handle continuously changing datasets that are often collected across decades and require careful access control rather than being fully open access.

Authors. Patrick Ferris, Michael Dales, Sadiq Jaffer, Amelia Holcomb, Eleanor Toye Scott, Thomas Swinfield, Alison Eyres, Andrew Balmford, David A Coomes, Srinivasan Keshav and Anil Madhavapeddy

See Also. This publication was part of the Planetary Computing project.

Previous Revisions. There are also earlier revisions of this paper available below. Please cite only the latest version of the paper above where possible.

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