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<p>Digital transformation is the key to turning public authorities into organisations that make decisions based on data-driven insights. Big geodata analysis can enable public authorities to tackle complex sustainability issues in order to achieve long-term goals. However, the efficient management of large amounts of geodata through the implementation of viable and state-of-the-art data infrastructures represents a&#xa0;major challenge for public authorities. In this article, we propose a&#xa0;cloud-integrated decentralised Spatial Data Infrastructure (SDI) to meet the needs of public authorities mandated to provide data products and services based on Earth Observation (EO) imagery. We describe the SDI setup, the implementation process, big geodata components, and the integration of the Copernicus Data and Exploitation Platform—DE (CODE-DE), drawing on the specific SDI implementation in a&#xa0;federal agricultural authority in Germany. Two practical applications are illustrated, underpinning the added value of a&#xa0;cloud-integrated SDI. We elaborate on lessons learnt from the SDI-implementation by summarising key findings that may facilitate the effective establishment and use of the SDI, namely i)&#xa0;the need for an organisational strategy, ii)&#xa0;identifying stakeholders, including their participatory roles, and iii)&#xa0;planning of long-term financial and human resources. The SDI proposed serves as a&#xa0;blueprint for public authorities helping them on their way to become data service providers, leveraging the potential of big geodata, including EO imagery.</p>

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Big Geodata and Spatial Data Infrastructures: a Perspective of a German Authority

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月28日

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  • Florian Beyer,
  • Patric Brandt,
  • Michael Schmidt,
  • Simon König,
  • Ulrike Stahl,
  • Peter Baumann,
  • Burkhard Golla,
  • Heike Gerighausen,
  • Markus Möller

摘要

Digital transformation is the key to turning public authorities into organisations that make decisions based on data-driven insights. Big geodata analysis can enable public authorities to tackle complex sustainability issues in order to achieve long-term goals. However, the efficient management of large amounts of geodata through the implementation of viable and state-of-the-art data infrastructures represents a major challenge for public authorities. In this article, we propose a cloud-integrated decentralised Spatial Data Infrastructure (SDI) to meet the needs of public authorities mandated to provide data products and services based on Earth Observation (EO) imagery. We describe the SDI setup, the implementation process, big geodata components, and the integration of the Copernicus Data and Exploitation Platform—DE (CODE-DE), drawing on the specific SDI implementation in a federal agricultural authority in Germany. Two practical applications are illustrated, underpinning the added value of a cloud-integrated SDI. We elaborate on lessons learnt from the SDI-implementation by summarising key findings that may facilitate the effective establishment and use of the SDI, namely i) the need for an organisational strategy, ii) identifying stakeholders, including their participatory roles, and iii) planning of long-term financial and human resources. The SDI proposed serves as a blueprint for public authorities helping them on their way to become data service providers, leveraging the potential of big geodata, including EO imagery.