WP3 will develop, demonstrate and maintain the EcoScope Platform, one of the main components of EcoScopium public portal and products of the EcoScope project, which will host meteorological, oceanographic, biogeochemical, environmental, biological, fishery, socio-economic datasets and homogenise them into common standard type and format following international protocols. Data will cover all study areas and will be assembled, compiled and integrated in the system from a multitude of external sources, allowing for an integrated and holistic fisheries management approach within the ecosystem context. The EcoScope Platform will be the modular tool linking data (collected by modern observational multi-platforms, hydrodynamic and biogeochemical model outputs, biological data, etc.) with environmental- and human drivers and with complex spatio-temporal ecosystem models. The EcoScope Platform will couple predictions of changes in marine biogeochemistry, food webs and productivity of ecosystems within the framework of climate change and increased anthropogenic forcing. After data harmonization and injection, the EcoScope Platform will provide data to end-users and stakeholders, in standardised types and formats.
The work in WP3 will be directly linked to the outputs of the findings of WP2, and in particular to the biological, fishery, ecosystem and socio-economic data collection. In WP3 all collected data from diverse data sources (e.g, existing Earth Observation systems, facilities and networks, collected sparse biological, fishery and socio-economic datasets, biological databases, other platforms and research projects outputs) will be compiled, assembled, homogenised and integrated into the EcoScope Platform. The final product will be a unique interface, capable of integrating multi- disciplinary data such as meteorological, climate, oceanographic, water quality, substrate type, seabed habitats, human impacts, river outflows, nutrient fluxes, fisheries catch, landings, fishing effort data, species distribution maps, benthic biodiversity, marine mammals, and more. The platform will integrate data on European Seas collected in the EcoScope project, model results (WP4 and WP6), ecosystem assessment indices (WP5) and socio-economic drivers (WP7), thereby creating a powerful, user-friendly interactive product with modern webGIS, visualization and post-processing capabilities. Data will be stored in the cloud and will be compatible to the future EU-DIAS cloud system. Overall, the EcoScope Platform will follow the development principles, methodological approaches, architectural components and validation/verification procedures of H2020 ODYSSEA project for the Mediterranean Sea, implying that significant experience and interaction exists among Consortium partners, safeguarding the smooth development, running and maintenance of the platform.
The EcoScope Platform will be extensively used for training and educational purposes, capacity building, interaction with stakeholders and end-users (WP8) and to fishery managers and policy-makers through Maritime Spatial Planning scenarios (WP6).
This task includes the mapping and scanning of existing databases and data sources (e.g., Earth Observation systems, online models, satellite data, in-situ systems, citizen scientist networks) containing meteorological, climate, oceanographic (physical, chemical, biological, biodiversity), human-impact and socio-economic parameters and indicators for all study areas. Databases and platforms such as CMEMS, EMODnet, NOAA, ECMWF, SMHI, Sentinels 2 and 3, CORDEX IPCC and more will provide data (historic and forecasts) for the above parameters. These data will be combined and merged with data from biological (e.g. FishBase, SeaLifeBase) and fisheries databases providing data on biomass, catches and discards (e.g. GFCM, ICES, FAO, Sea Around Us project), marine mammal distribution (ACCOBAMS), biodiversity (Marine IBA e-atlas), fish and invertebrate species distributions (AquaMaps) and fishing effort (Global Fishing Watch). All data will be homogenized and geo-referenced into a common back-end database, ready to be injected to the EcoScope Platform and used by other WPs (distribution models in WP4, energyscapes in WP5, ecosystem models in WP6 and economics in WP7).
The EcoScope Platform will follow architectural guidelines, components and interfaces as developed in ODYSSEA H2020 Project (GDPR, cataloguing, data standardization, protocols, user interfaces, data storage components, etc). In Phase 1, data from Met-Ocean and climatic data platforms and data providers will be integrated into the system, for all areas covered by the EcoScope project. These are dynamic datasets, in the sense that change in time and space at various resolutions and special handling of these data is needed. The front-end of the platform will provide the necessary tools to visualize, process and analyse these data in a user-friendly manner.
In Phase 2, data from biological, biodiversity, fishery data platforms and providers will be integrated into the system, for all areas covered by the EcoScope project. These are mostly static data, time-series of catches, effort, landings and biomass per species (Sea Around Us project), previously surveyed data, stock status indices, overfishing indicators, biodiversity, sensitivity indicators, socio-economic data and ecological models output and more. All these data will be derived from WPs 2, 4, 5, 6 and 7 and will be provided ready to be imported in the platform.
In this task, pre-processing will check the integrity, consistency and format of data and transform the data in formats ready for import into the EcoScope Platform. Data will be stored effectively following Big Data Storage and Analytics approach to allow faster access by the processing component. Post-processing will involve data aggregation, especially between abiotic and biotic variables, even at different resolutions, indicators derivation, alarming and the generation of reports. High- and multiple-level data fusion will be carried out on the entire database, utilizing machine and deep learning algorithms, neuro-fuzzy inference systems and various intelligent processing and data assimilation methods. Dedicated algorithms will be developed in this task to provide the above services.
The objective is to deliver a first set of services in M40 to demonstrate the usefulness of the EcoScope Platform and to be able to iterate with users for the requirements consolidation in M48. The maintenance will be realized all along the iterative process of deliveries.
D3.1 - Report on EcoScope Platform database development
Due Month: 12
D3.2 - Report on data quality and consistency
Due Month: 18
D3.3 - EcoScope Platform Progress Report
Due Month: 24
D3.4 - EcoScope Platform Final Report
Due Month: 36
D3.5 - Report on data processing and fusion
Due Month: 40