This demonstrator 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.

  • End-users: general public with an interest in aquaculture locations, production, and tracking, accessed through a public web-portal.
  • Advanced users: regional aquaculture data analysts that need to monitor how aquaculture in their area of interest develops over time using Sentinel and other satellite data, and bring that in relation to environmental variables and other ancillary data such as site-inventories.
  • Developers: system developers in need of a ‘template’ solution for the management of sentinel and other satellites data access and processing in WeKEO. The demonstrator example workflow on cage monitoring can be adapted to other data and analytical WeKEO processes.
  • Regional Aquaculture Managers: regional aquaculture managers who require access to overviews of aquaculture sites and area estimates to inform their management decision making processes.

An aquaculture monitor can become an important information source for local and national governments that lack the capacity to implement a national monitoring tool. It can thus provide a monitor for several Sustainable Development Goals such as 14 "Life below water", and 2 "Food Security".


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.

​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.