WP2 Data Acquisition from Pilots/Collection of Existing Databases
Objectives
a) Develop a conceptual operational framework of blending existing and new monitoring systems to achieve downscaling and localization at DT pilots, reaching a super-resolution reconstruction, resolving small-scale ocean processes;
b) Consider, select, build, test and deploy a series of novel operational cost-effective automated monitoring systems, recording parameters never measured earlier at such scale;
c) Integrate these sensors on existing vehicles (drones, buoys, gliders) and collect RT ocean data, once selected;
d) To evaluate sensor systems and their operation;
e) Acquire socio-economic archived and current production data and indicators on marine and maritime activities;
f) Integrate ocean data (historical, hindcasts, reanalysis, forecasts) from existing data platforms and networks; and
g) Create and document best practices and standards, identifying which are used in this task.
Tasks
For all European Seas an analysis will be made on the existing databases maintained by public authorities, research institutions and universities, integrating existing Earth Observation facilities and networks and key initiatives such as Copernicus (Marine, Land, Atmosphere, Climate, Security and Emergency), GEOSS, GOOS, EMODnet, ESFRI, Lifewatch, Med-OBIS, GBIF, AquaMaps, Marine IBA e-atlas, MAPAMED, FishBase, EPOS, MDI, industrial companies (O&G, gravel mining, green energy, cable lines) and engage with emerging opportunities such as the IOC ODIS, Biomolecular Ocean Observing Network (BOON), MBON, ICES, JERICO-CORE, etc. Data will cover highresolution bathymetry, meteorology, climate, physics, chemistry, geology, biology, fisheries, biodiversity, habitats and ecology, cultural heritage resources and antiquities (shipwrecks and cargoes, submerged ancient coastal settlements, ancient harbors). An inventory will be developed containing appropriate metadata, including for example the dataset id, category, topic, WMS server, APIs, metadata.
For each pilot, a conceptual framework will be built, (consistent with the overall Iliad architecture and Green Deal Objectives for local DTs, defined in WP1), to describe the parameters to be measured, the data sensors to be used, the collection and the flux of data to the platform. Data will include physical, chemical, biological and cultural parameters from the marine environment, data from social networks and socio-economic data on the marine and maritime activities of each Pilot and other relevant risk data to be used for the design of individual insurance solutions. DTO data from the physical space will originate from a variety of satellites (all Sentinels, Earth Explorer, PlanetScope, and more), vehicles such as ferries, drones and gliders equipped with novel sensors and on-site deployed sensors allowing the continuous intercalibration and downscaling among systems. A multitude of socio-economic data in accordance to the Blue Economy Indicators will be collected from each Pilot activity covering local/national/EU scales. A Social Networks Analysis toolkit will be designed to support the collection, cleaning, labeling and further analysis and visualisations of social media data with emphasis on the immediate detection of geophysical extreme events, thus issuing early-warnings on forthcoming hazards.
The Conceptual Framework will also define and document the methods, best practices and standards that will be a core part of the data acquisition actions for novel sensors and data management. This will be done using the IOC Ocean Best Practices System (OBPS) and will point to those methods in the repository that will be part of the procedures used in this work package. New procedures will be documented and deposited in the OBPS repository for continuing access.
- Duration: M1 - M12
- Task Lead: Dimokritio Panepistimio Thrakis (DUTH)