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Atlantic cities: smart, sustainable and secure ports and protecting the ocean The project aims at developing and delivering to the end user communities a number of customized EO-based information services to support decision making processes in the Atlantic Region:

Climate Resilience
Atlantic Cities and Ports
[...]
DEIMOS SPACE UK LTD (GB)Regional InitiativesAtlantic, oceans, ports, regional initiatives, sustainable development, urbanThe project aims at developing and delivering to the end user communities a number of customized EO-based information services to support decision making processes in the Atlantic Region: Climate Resilience Atlantic Cities and Ports Protecting the Ocean The Climate Resilience Service will be focused on providing information and know-how for assessing the risks and potential socio-economic impacts of coastal processes such as erosion and flooding, to: Critical infrastructures Business activities Coastal protection elements The main service users are: environmental agencies municipalities coastal business activities The Cities and Ports Service will focus on addressing the needs identified by coastal cities with ports, supporting the social cohesion and inclusiveness while ensuring the harmonious co-existence of many economic activities and the well-being of its inhabitants and tourists. This service therefore aims to support ports, cities and related entities in: Assessing the activities in and around ports Monitoring of maritime transport Detecting port-related pollution Identifying security/safety issues for assets. The Protecting the Ocean Service will focus on: detecting emerging pollutants such as marine litter monitoring the environmental status of ocean areas, including MPAs and other marine ecosystem relevant areas. This service addresses users from national and international authorities and other entities responsible for reporting marine status and indicators.
Atlantic Regional Initiative – Applications: Offshore Wind Energy Services based on Earth Observation (EO) can provide valuable information during the design stage by providing a long time series of wind data that allows a better assessment and characterization of the wind resource energy production potential [...]Deimos Engenharia (PT)Regional InitiativesAtlantic, energy and natural resources, oceans, regional initiatives, renewable energyServices based on Earth Observation (EO) can provide valuable information during the design stage by providing a long time series of wind data that allows a better assessment and characterization of the wind resource energy production potential of different possible wind farm (WF) sites, helping to select the most advantageous ones. These typical site wind characteristics can also assist in the determination of the optimal location of each individual wind turbine (WT) inside the specified site boundaries, minimizing combined WT wake influence and therefore minimizing energy production losses. Once the WF is operational, the EO based services can help establish optimal site maintenance weather windows and help foresee or determine/monitor possible rain erosion effects on the WT blades. Long time series of wind and wave data will help determine possible overall weather windows for those operations, while short term weather forecast can provide valuable information to guide the planned maintenance activities (e.g. adjust time window for the activity based on weather forecast inputs). This 2-year project focuses on the development of an integrated application covering: A planning dashboard for wind farm design and operations, including weather windows for offshore operations planning. The dashboard aims to provide a single access point to the different EO services to be developed with advanced data visualisation and download capabilities so that the user is able to trigger service runs, access easily all service outputs, compare different site locations, configurations and maintenance scenarios, and get support from a team of specialised personnel for each one of the services. The EO-based services will cover different activity areas of wind farm design and operations from wind resource and wake effect assessment to the definition of maintenance operations weather windows, provided by dedicated expert teams coming from different partners. The users will interact with those EO experts to better understand the capabilities, optimal conditions of use and possible limitations of the different presented services, therefore easing their learning curve on the usage and uptake on these products. Hopefully this process, that will be upscaled to other users in the final workshop of the project, will improve significantly the uptake of these types of products by the wind energy sector. The dashboard should integrate these new EO based services with wind industry sector standard metrics for energy production, operational costs and total cost of energy to provide more recognisable and actionable information to the end users and therefore ease the uptake of these types of services by these non-EO expert user communities. Winds for resource assessment. The main focus will be on making EO data and derived products easily accessible for end users and on the development of new applications, which can integrate the EO data seamlessly into the applications already in use by the wind energy community and in particular the wind energy industry. The aim is to fully integrate satellite wind based products with well established industry standard wind farm planning and operations software solutions (SOWFA) and indicators (AEP and LCOE), addressing the full information value chain to provide meaningful and familiar information to infrastructure managers and other interested stakeholders. Assessment of wind turbine wake effects. The work will provide access to the higher resolution SAR based EO datasets, produced by DTU, to downstream industry standard applications developed by Wavec. Those applications will use those wind satellite products as ground truth to run the required simulations to assess and minimise wake effects. As in the previous service, standard energy production and cost indicators such as AEP and LCOE will be estimated in these simulations to provide actionable and familiar information to the different stakeholders. Assessment of rain erosion of wind turbine blades. The work will use rain data from the GPM mission to characterise rain events, which, combined with wind data from satellite EO, will produce novel rain-wind data series for selected sites with operating wind farms. The work will be the first of its kind, thus in a prototype level data for initial evaluation by end users, namely, wind farm owners, wind farm operators and wind farm planners. The main partner to demonstrate the services will be EDP, through the Windfloat Atlantic wind farm project installed 20 km off the Portuguese coast at Viana do Castelo. During the user engagement the consortium team will be in contact with a series of stakeholders working in the Atlantic Region to help consolidate the technical requirements. As a result, additional service exercises for different users might be prepared. This activity corresponds to Theme 2 of the original Invitation to Tender.
Black Sea and Danube RI – Applications This activity is part of the EO (Earth Observation) Exploitation Platforms element of ESA’s Earth Observation Envelope Programme (EOEP-5) aiming to establish regional information services for Black Sea Region in the agriculture and forestry [...]GISAT S.R.O. (CZ)Enterpriseapplications, enterprise, regional initiativesThis activity is part of the EO (Earth Observation) Exploitation Platforms element of ESA’s Earth Observation Envelope Programme (EOEP-5) aiming to establish regional information services for Black Sea Region in the agriculture and forestry domains. It is intended to develop a suite of service cases demonstrating the monitoring services to CAP paying agencies, precision agriculture, monitoring of agriculture production and forest resource management (forest area, type and deforestation mapping) with users in Czech Republic, Georgia, Romania and Hungary.
Blue economy: innovation clusters, Atlantic natural resources management and maritime spatial planning The 2-years Blue Economy project aims at developing and demonstrating EO driven data solutions, which deliver actionable information to key coastal stakeholders. Applications will focus on the areas of coastal monitoring, ocean renewable energy, [...]GMVIS SKYSOFT S.A. (PT)Regional InitiativesAtlantic, blue economy, coastal zone, marine environment, maritime spatial planning, oceans, regional initiatives, renewable energyThe 2-years Blue Economy project aims at developing and demonstrating EO driven data solutions, which deliver actionable information to key coastal stakeholders. Applications will focus on the areas of coastal monitoring, ocean renewable energy, and marine litter. It is being implemented through the European Space Agency’s Atlantic Regional Initiative. In parallel, a range of Atlantic-focused recommendations will be developed from engaged stakeholder inputs, and community development activities. These perspectives will (i) inform and enhance the roadmap being developed by the European Space Agency for the Atlantic Region, and (ii) found a seed Community of Practice of maritime-EO technology innovators for the Atlantic, focused on developing EO solutions to address Marine Strategy Framework, and Marine Spatial Planning ambitions. Rationale: As the Maritime Spatial Planning (MSPD) and Marine Strategy Framework (MSFD) directives are implemented across Europe, EU member states and aligning nations need innovative information gathering tools to monitor progress towards the goals of these two directives. Information from satellites can satisfy a number of these monitoring needs. The EO sector needs to demonstrate technological viability, and while doing so engage with policy makers and legislators to ensure information products are acceptable for monitoring and legal purposes. The Blue Economy project is a demonstration of this potential for Atlantic coastal states.
e-Drift (Disaster risk financing and transfer) Disaster Risk Financing (DRF) can increase the ability of national and local governments, homeowners, businesses, agricultural producers, and low-income populations to respond more quickly and resiliently to disasters by strengthening public [...]CIMA RESEARCH FOUNDATION (IT)Enterpriseregional initiatives, scienceDisaster Risk Financing (DRF) can increase the ability of national and local governments, homeowners, businesses, agricultural producers, and low-income populations to respond more quickly and resiliently to disasters by strengthening public financial management and promoting market-based disaster risk financing. Recent improvements in quality and availability of satellite-derived characteristics increased the usability of EO products, allowing for better results and further synergies between actors, potentially expanding the market of Disaster Risk Financing applications. The Project: e-Drift (Disaster RIsk Financing and Transfer), financed by ESA and led by CIMA Research Foundation (IT), aims at improving the performance of the EO products and determine a fully automatic and reproducible way to service DRF applications. The e-Drift Virtual Platform enables an easy and timely access to various services and products guaranteeing high computing capability and direct access to the EO datasets of the Sentinel constellation. Services will cover several key areas of interest of the insurance market and of Countries that would like to transfer their sovereign risk. The e-Drift Virtual Platform will be released as a PAAS, so that can be embedded in the IT systems of the In-Sector Providers, and as a SAAS, so that can be used by In-Sector Providers by a unique and KISS End User Interface. The project is also creating a strong network between providers of value-added services utilizing EO data, In-Sector service providers for the insurance market and reinsurance companies as well as other concerned actors in the field like the World Bank, with the final purpose to create new or improved products and solutions for the Insurance sector. The project consortium includes leading companies in the EO value adding, and leading actors in the insurance market and concentrates as a pilot study area in South East Asia, more specifically on Myanmar, Laos and Cambodia.
Earth Observation data For Science and Innovation in the Black Sea (EO4SIBS) In the frame of the ESA Regional Initiatives, a set of coordinated activities between science, public sector, industry growth and infrastructure components focussing on regional priorities with high interest for Member States, a number of [...]UNIVERSITY OF LIEGE (BE)Sciencecarbon science cluster, ocean science cluster, oceans, regional initiatives, science, Sentinel-2, Sentinel-3In the frame of the ESA Regional Initiatives, a set of coordinated activities between science, public sector, industry growth and infrastructure components focussing on regional priorities with high interest for Member States, a number of Science and Application projects are being runned for the Black Sea and Danube region. In this context, the EO4SIBS (Earth Observation data For Science and Innovation in the Black Sea) project is dedicated to Ocean Science. The objectives of this project are: To develop a new generation of algorithms that can ingest the wealth of spatial, temporal and spectral information provided by recent sensors providing high quality reference products for the blue and green ocean. In particular, regarding Ocean Colour derived products, innovative, high quality reference products of Chl-a, Total Suspended Matter (TSM) and turbidity products will be generated for the whole Black Sea geographical area, with a special focus on the western part directly influenced by the Danube River plume. Merged products will be generated to combine the high temporal resolution of S-3 OLCI and high spatial resolution of S-2 MSI satellite products and capture the optimal spatio-temporal coverage over the Black Sea waters. Concerning altimeter datasets, Level-3 Sentinel-3A [2016, 2018] and Cryosat-2 [2011, 2018] along-track product will be generated and their impact for coastal sea level trend study in the Black Sea assessed, and Level-4 multi-mission gridded products over the [2011, 2018] for improved mesoscale studies. Finally, 10 year (2010-2020) of improved gap-free high resolution salinity products will be generated. To collect new data to support the development of novel algorithms and to propose laboratory analyses of the highest quality To build novel composite products that integrate the satellite information with that from robotic platforms and numerical ocean models; To assess how the use of EO data improves our knowledge of good environmental status (GES) and climate change in the Black Sea. In particular three scientific use cases will be assessed : Physical oceanography and biochemical ecosystems; Black Sea level dynamics and trends; Deoxygenation. To disseminate the developed tools and products to the regional and international scientific and end-user community through the setting of a web platform, the organization of dissemination events, the participation to conferences.
Grassland cutting detection for agriculture The main objective is to provide an operational methodologies and software components that combines the data from remote sensing satellites (in particular Sentinel‐1 and Sentinel‐2) that will allow to detect and monitor the grassland cutting and [...]KAPPAZETA LTD (EE)Enterpriseagriculture, regional initiatives, Sentinel-1, Sentinel-2The main objective is to provide an operational methodologies and software components that combines the data from remote sensing satellites (in particular Sentinel‐1 and Sentinel‐2) that will allow to detect and monitor the grassland cutting and grazing. This tool is intended to be deployed by the National Paying Agencies (NPAs) which have the role to control the owners of permanent and agricultural land to insure they adhere to certain management policies of the EU Common Agriculture Policy resulting in 90% accuracy of grassland cutting detection rates, fewer in situ inspections, and decrease wrongly allocated funds due to fraudulent farmers. The system was demonstrated to the Paying Agencies of Estonia, Denmark and Sweden and further extended to develop the service trial in Poland – Agency for Restructuring and Modernisation of Agriculture (ARMA).