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Blue-Cloud Research
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Aquaculture Detection - Test the Blue-Cloud Virtual Labs

Authors: Augot, Jérémy; Lavergne, Emeric; Blondel, Emmanuel; Ellenbroek, Anton;

Aquaculture Detection - Test the Blue-Cloud Virtual Labs

Abstract

The Aquaculture Monitor Virtual Lab has a specific focus on data related to the marine environment, and it is jointly developed by the Information and knowledge management Team (NFISI) of the Fisheries Division, Food and Agriculture Organization of the United Nations (FAO) and the French provider of environmental monitoring solutions Collecte Localisation Satellites (CLS). The ambition is to deliver a tool to produce national aquaculture sector overviews whereby a country can make use of OGC compliant data services to monitor its aquaculture sector, not in an isolated way, but built on interoperable services where teams can compute and publish reproducible experiments. You can learn more in this dedicated article. Services deployed Aquaculture Cage Atlas: An online overview of satellite data derived maps of cages and cage clusters. The products are delivered through an ISO-OGC compliant map viewer, and registered users can edit features of the detected cages and cage clusters. A proximity service can be called to automatically map across feature sets to enrich maps. In another process, estimates of cage activity over a production season can be made if there is a large enough sample available. Aquaculture Ponds Atlas: The versatility of the Blue cloud infrastructure and the re-usability of its components will be demonstrated in a test-service that uses some of the same data sources and a similar analytical data process to the Cage Atlas. The results will be a coastal land-use classification map, fully based on Copernicus data for its remote sensing component. Test the Aquaculture Monitor Virtual Lab

Keywords

EOSC, Open Science, Fisheries, Aquaculture

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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