| Title |
Datacubes as enabler for advanced decision support systems in land management |
| ID_Doc |
63879 |
| Authors |
Baumann, P; Merticariu, V; Misev, D; Huu, BP; Langella, G |
| Title |
Datacubes as enabler for advanced decision support systems in land management |
| Year |
2024 |
| Published |
Land Degradation & Development, 35, 11 |
| DOI |
10.1002/ldr.5153 |
| 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. |
| Author Keywords |
Array DBMS; Big Data; datacubes; LandSupport; rasdaman |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001230839200001 |
| WoS Category |
Environmental Sciences; Soil Science |
| Research Area |
Environmental Sciences & Ecology; Agriculture |
| PDF |
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