The SenSyF project proposes a complete system for fully automated data acquisition and processing. This project will allow for the development and testing of new processing chains and methods for Sentinel and GMES contributing mission data on a continuous basis, and the delivery of higher-level products and services complementing the information provided by the (pre-)operational services.
This system will be based on a dynamic parallel processing infrastructure, where the capabilities of grid computing applied to Sentinel data processing can be exploited and demonstrated. The SenSyF project will provide an infrastructure and interfacing tools for data access and dissemination, such that SMEs and scientists can develop and deploy Earth Science application with a lower overall cost of data, setup and maintenance. The complete system is designed as a fully automatic data processing framework, which will ease the generation and testing of new and innovative applications.
On top of the Synergy Framework being proposed, a selected set of seven demonstrative services are also selected, which will 1) demonstrate the system’s potential, 2) provide valuable development feedback for the framework improvement, and 3) prove the overall concept by addressing specific services needs within the European and global setting.
The SenSyF project draws on the experience and complementarity of its ten partners from across Europe, to propose a business-oriented solution in support the generation of value-added services, based on the usage of Earth observation data from the future GMES Sentinels missions. As exemplified by the seven proposed services, each of which addressing a particular need for higher-level information generation, the common, powerful back-end will let service providers concentrate on the service core, and streamline the development and improve performance, and reducing implementation and operational costs.
Field of science
- /natural sciences/earth and related environmental sciences
- /social sciences/sociology/governance/public services
- /natural sciences/computer and information sciences/data science/data processing
Call for proposal
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Funding SchemeCP-FP - Small or medium-scale focused research project