Science Data Cloud

The Science Data Cloud combines a technology framework and a public cloud platform to provide Data-as-a-Service and Info-as-a-Service. This enables a multi-layered ecosystem of services to evolve that leverages the value from EO data provided by the European Space Agency.

The service is built on three stack layers, the front-end layer, orchestration layer and infrastructure layer. The infrastructure layer consists of the cloud orchestration, provisioning platform and core infrastructure, with data sets hosted in CloudSigma’s custom object storage solution. Upon this the Science Data PaaS layer is integrated to provide ontological data access and enable end-users to discover the service either via the cloud service marketplace or via an external third- party store. End-users also have the ability to discover applications, connect directly to the relevant data sets, and provision appropriately sized virtual servers accordingly.

The framework is tested against a Flood Delineation for Damage Assessment use-case, demonstrating how end-users - in this case regional civil protections agencies across Europe - can access datasets provided by ESA (including Sentinel-1) and process such data via the chosen application partner. Our vision is one where everyone can access data sets in an environment that allows immediate development and manipulation of the data and a ready onward market for the results of that effort.