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Datacubes as Enabling Platform for Advanced Decision Support Systems in Land Management
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  • Peter Baumann,
  • Vlad Merticariu,
  • Dimitar Misev,
  • Bang Pham Huu
Peter Baumann
Constructor University Bremen gGmbH

Corresponding Author:[email protected]

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Vlad Merticariu
rasdaman GmbH
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Dimitar Misev
Constructor University Bremen gGmbH
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Bang Pham Huu
Constructor University Bremen gGmbH
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Informed, wise land management is a challenge since long, but has gained extra importance through the need for responding to the climate change effects. The European Green Deal is one example of a concertation effort in a world where data availability, sharing options, and just-in-time exploitation are not entirely solved. The LandSupport service responds to this challenge through a combination of a Spatial Decision Support System on top of a datacube management and analytics engine. In this paper we specifically focus on this datacube engine and how it can contribute to a better decision making through an ordered multi-dimensional data man­agement paired with strictly standards-compliant inter­faces. Further, the approach described shows a remedy against the current fragmentation of services: through a location-transparent federation a single common pool of information is established, including distributed fusion allowing an unlimited mix-and-match of data regardless of their location.
28 Jul 2023Submitted to Land Degradation & Development
31 Jul 2023Submission Checks Completed
31 Jul 2023Assigned to Editor
01 Aug 2023Review(s) Completed, Editorial Evaluation Pending
03 Aug 2023Reviewer(s) Assigned
30 Jan 20241st Revision Received
30 Mar 2024Reviewer(s) Assigned
04 Apr 2024Review(s) Completed, Editorial Evaluation Pending
04 Apr 2024Reviewer(s) Assigned
06 Apr 2024Editorial Decision: Accept