Datacubes as enabler for advanced decision support systems in land management

Abstract Informed, wise, land management has been a challenge since a long time, but has gained extra importance through the need for responding to 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 multidimensional 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.