project . 2017 - 2021 . Closed


Big-data Earth observation Technology and Tools Enhancing Research and development
Open Access mandate for Publications and Research data
European Commission
Funder: European CommissionProject code: 776280 Call for proposal: H2020-EO-2017
Funded under: H2020 | RIA Overall Budget: 1,998,540 EURFunder Contribution: 1,998,540 EUR
Status: Closed
01 Nov 2017 (Started) 31 Jan 2021 (Ended)

The main objective of BETTER is to implement an EO Big Data intermediate service layer devoted to harnessing the potential of the Copernicus and Sentinel European EO data directly from the needs of the users. BETTER aims to go beyond the implementation of generic Big Data tools and incorporate those tools with user experience, expertise and resources to deliver an integrated Big Data intermediate service layer. This layer will deliver customized solutions denominated Data Pipelines for large volume EO and non-EO datasets access, retrieval, processing, analysis and visualisation. The BETTER solutions will focus in addressing the full data lifecycle needs associated with EO Big Data to bring more downstream users to the EO market and maximise exploitation of the current and future Copernicus data and information services. BETTER developments will be driven by a large number of Big Data Challenges to be set forward by the users deeply involved in addressing the Key Societal Challenges. The World Food Programme, the European Union Satellite Centre and the Swiss Federal Institute of Technology - Zurich working in the areas of Food Security, Secure Societies and GeoHazards will be the challenge promoters. During the project each promoter will introduce 9 challenges, 3 in each project year, with an additional nine brought by the “Extending the market” task, in a total of 36 challenges. The Data Pipelines will be deployed on top of a mature EO data and service support ecosystem which has been under consolidation from previous R&D activities. The ecosystem and its further development in the scope of BETTER rely on the experience and versatility of the consortium team responsible for service/tool development from DEIMOS and Terradue. This is complemented by Fraunhofer Institute’s experience in Big Data systems, which brings to the consortium transversal knowledge extraction technologies and tools that will help bridge the current gap between the EO and ICT sectors.

Data Management Plans