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We make a case for "planetary computing" -- infrastructure to handle theingestion, transformation, analysis and publication of global data products forfurthering environmental science and enabling better informed policy-making. Wedraw on our experiences as a team of computer scientists working withenvironmental scientists on forest carbon and biodiversity preservation, andclassify existing solutions by their flexibility in scalably processinggeospatial data, and also how well they support building trust in the resultsvia traceability and reproducibility. We identify research gaps in theintersection of computing and environmental science around how to handlecontinuously changing datasets that are often collected across decades andrequire careful access control rather than being fully open access.

Planetary computing for data-driven environmental policy-making