Published June 19, 2026 | Version 1.0.0

spatial.IO - An integrated cloud-ready geospatial data management system

  • 1. ROR icon Helmholtz Centre for Environmental Research

Contributors

Related person:

  • 1. ROR icon Helmholtz Centre for Environmental Research

Description

🎉 spatial.IO reaches Version 1.0!

After years of continuous development, we are excited to release spatial.IO v1.0 — marking its transition into a stable, production-ready platform. This milestone reflects the maturity of a system already powering multiple real-world applications at the UFZ, and we're thrilled to share it with the broader community.

Store, publish, analyze, and visualize raster, vector, and time-series geodata with a self-service interface that requires no database or GIS-server expertise.

What is spatial.IO?

spatial.IO is the Spatial Data Infrastructure (SDI) of the Helmholtz Centre for Environmental Research (UFZ). It provides a complete, production-ready solution for managing geospatial data across its entire lifecycle — from ingestion and processing to publication, metadata management, and interactive visualization. Built entirely on open standards and open-source components, spatial.IO is designed for research institutions, government agencies, and any organization that needs to make spatial data FAIR: Findable, Accessible, Interoperable, and Reusable.

For Whom?

Audience What spatial.IO delivers
Scientists & Data Managers Publish and share geodata with full metadata and DOI. No IT skills required.
Government Agencies & Authorities OGC-compliant SDI out of the box, open-source, EUPL-licensed, audit-safe and sovereignty-preserving.
Administrators & IT Container-based (Docker + Helm), scales with your infrastructure, integrates into any IT landscape.
Developers Microservice architecture, open standards, extensible processes.

Features

  • S3 cloud-storage
  • FROST®-Server to store and access sensor data (in combination with time.IO and SaQC)
  • Creation of custom interactive WebGIS components
  • Extendable processes to get spatially aggregated values raster data
  • Use of django framework to make configuration of data and WebGIS user-friendly
  • Workflow for automated creation of OGC web services with GeoServer of new spatial data
  • Workflow for automated creation of metadata entries in GeoNetwork

Supported formats: NetCDF, Cloud-Optimized GeoTIFF, GeoTIFF, Shapefile, GeoJSON, GeoPackage, CSV, and SensorThings (STA).

Quickstart

  1. Install Docker Engine (Community Edition - CE is enough) and Docker Compose
  2. Install a git client and checkout the spatial.IO repository or unzip the attached archive
  3. Follow step-by-step instructions in README.md to startup

Techstack, dependencies and third party open source products

Part of an ecosystem: spatial.IO works seamlessly with time.IO (time-series management), SMS (sensor metadata management), and SaQC (data quality control) — together covering the full lifecycle of environmental monitoring data, all developed within the Helmholtz DataHub Initiative.

In production: spatial.IO already powers platforms like WIS-D (German water data) and the UFZ Forest Condition Monitor, plus numerous other Monitors at UFZ.

Acknowledgements

We thank the Helmholtz Association and the Federal Ministry of Education and Research (BMBF) for supporting the DataHub Initiative of the Research Field Earth and Environment. The DataHub enables an overarching and comprehensive research data management, following FAIR principles, for all Topics in the Program Changing Earth – Sustaining our Future.

Files

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Additional details

Related works

Is described by
Poster: 10.5281/zenodo.13812539 (DOI)
References
Software: 10.5281/zenodo.8354840 (DOI)
Software: 10.5281/zenodo.5888547 (DOI)

Funding

Federal Ministry of Education and Research
Helmholtz Association of German Research Centres

Dates

Created
2026-06-19

Software

Repository URL
https://codebase.helmholtz.cloud/ufz-sdi/spatialio
Programming language
TypeScript , Python , HTML , CSS , Vue
Development Status
Active