Back to feed
Dev.to
Dev.to
6/23/2026
Pixels to Planning: Geospatial Data Platforms on AWS

Pixels to Planning: Geospatial Data Platforms on AWS

Short summary

Google's satellite-to-planning research highlights critical architecture for petabyte-scale geospatial processing. Use Apache Iceberg with GeoParquet and H3-grid spatial partitioning instead of naive S3 prefixes to enable 60-80% reduction in query scan volumes. Production Sentinel-2 processing costs approximately USD 12 per day of global data with detailed configurations provided.

  • •Petabyte-scale satellite data requires geospatial-aware partitioning, not date-only S3 prefixes
  • •Apache Iceberg + GeoParquet with H3 grid reduces query scan volume by 60-80% via predicate pushdown
  • •Complete AWS architecture provided with specific Glue Spark configurations and USD 12/day operational costs

Generated with AI, which can make mistakes.

#ai-tools#research-breakthrough#open-source#industry-adoption
Read full article at Dev.to

Is this a good recommendation for you?

Explore more

Embed the world: Multimodal AI for searchable aerial imagery at scale
AWS Machine Learning Blog
Apache Iceberg in Production: Compaction, Catalogs, and the Pitfalls Nobody Warns You About
Dev.to
Using Zstd Frames to Egress Partial Parquet Files
Dev.to
Less Database, More Files
Dev.to