• AWS Architecture Blog BASF Digital Farming builds a STAC-based solution on Amazon EKS This post was co-written with Frederic Haase and Julian Blau with BASF Digital Farming GmbH. • At xarvio - BASF Digital Farming, our mission is to empower farmers around the world with cutting-edge digital agronomic decision-making tools. • Central to this mission is our crop optimization platform, xarvio FIELD MANAGER, which delivers actionable insights through a range of geospatial assets, including satellite imagery, drone data, and application maps from sprayers. • In this post, we show you how we built a scalable geospatial data solution on AWS to efficiently catalog, manage, and visualize both raster and vector datasets through the web. • We walk you through our solution based on the SpatioTemporal Asset Catalog (STAC) specification and the open source eoAPI ecosystem, detailing the solution architecture, key technologies, and lessons learned during deployment. • This builds upon a previous post on efficient satellite imagery ingestion using AWS Serverless, extending our discussion to the full lifecycle of geospatial data management at scale.
Article Summaries:
- BASF Digital Farming has deployed a scalable geospatial data platform on Amazon EKS, leveraging the Spatio‑Temporal Asset Catalog (STAC) specification and the eoAPI ecosystem. The solution, built to support the xarvio FIELD MANAGER, ingests hundreds of millions of satellite images daily from diverse sensors, converting them into STAC items for efficient cataloging and retrieval. Core components include pgSTAC, a PostGIS‑backed STAC API that indexes millions of items with spatial, temporal, and attribute filters, and TiPG for serving tiled vector data directly from the database. The architecture supports advanced quality‑assurance processes and machine‑learning pipelines that transform raw imagery into actionable agronomic insights for farmers worldwide.
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