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Arctic Crowdsourcing The Arctic Crowdsourcing project has been successfully completed. The objective was to create an enhanced Earth Observations (EO) services for Arctic applications planned for C-CORE’s Coresight Platform to include community/crowd sourced very [...]C-CORE CENTRE FOR COLD OCEAN RESOURCES ENGINEERING (CA)Digital Platform Servicespermanently open call, platformsThe Arctic Crowdsourcing project has been successfully completed. The objective was to create an enhanced Earth Observations (EO) services for Arctic applications planned for C-CORE’s Coresight Platform to include community/crowd sourced very high-resolution drone data, ESA Sentinel mission data and other forms of field data that support Arctic stakeholder needs.   The Arctic Crowdsourcing project included: 1)  Engagement of Arctic communities to develop skills around drone operations, as well as GIS, and EO satellite knowledge. The community engagement also investigated remote sensing based services for that could directly benefit communities. 2) The development Arctic Crowdsourcing Service for collecting community-sourced knowledge, targeting community sourced Drone Data, and geotagged video and image data. 3) The prototype development of enhanced EO based services and incorporate other community sourced data or new products created via the Polar TEP. The developed products were on display and ready for live demos at ESA’s Living Planet Symposium May 2019 in the C-CORE booth, and available publically to all, after the symposium. The project involved direct engagement with community members via several face-to-face meetings with communities, supporting the establishment of training programs and the hiring of local commercial drone operators to collect test scenario data.  Initial community engagement highlighted two obstacles to support crowdsourcing of drone imagery which were the lack of in region drone operation skills, and lack of high bandwidth connectivity to transfer the high number of large bandwidth files created by drones and their higher resolution sensors.  While this project has completed, the opportunity of developing Arctic crowdsourced drone data will continue to be developed as numbers of drone operators in the Arctic increase, and further engagement and feedback are received from Arctic communities.
Building trust in digital economy While IPR protection will have to rely mainly on contractual mechanisms, technology is increasingly offering means to enforce IPR protection via technical solutions. The study was to identify the approaches that are ready for operational use and [...]ARGANS LIMITED (GB)Digital Platform Servicesblockchain, platformsWhile IPR protection will have to rely mainly on contractual mechanisms, technology is increasingly offering means to enforce IPR protection via technical solutions. The study was to identify the approaches that are ready for operational use and can be implemented as part of the common architecture.  The implementation strategy defined aftr user consultation entailed development of the IPR traceability services using the Merkel tree hash-functions which are the underlying the cryptographic element of the blockchain data structures. This approach has been independently validated by the Nov. 2020 announcement of the European Commission Action Plan for Intellectual Property Right Protection which is addressing the impact of new technologies (such as AI and blockchain) on the IP system. The underlying ambition of the European Commission is to create a ground breaking unitary system for Patent and IP recognition and dramatically increase the IP registration by SMEs using blockchcain-driven services to be offered by the EU Intellectual Property Office (EU IPO). A liaison with the EU Intellectual Property Office (IPO) has been established and EU IPO  demonstrated own blockchain-based IP infrastructure being developed for all European IPOs. There are multiple other initatives at the EU IPO that will drive the digitisation and innovation agenda and it was agreed that multiple checkpoints will continue to enhance the cooperation opportunity and for ESA  to represent the EO sector IP perspectives to the EU IPO stakeholders. The project has demonstrated blockchain-based IP protection/registration/traceability services deployed on the ESA Coastal TEP. The video demonstration of the Proof-of-Concept is available at https://www.youtube.com/playlist?list=PLNePkHV3wXsrgHMrChF-Ws1FLGMoub-d9
Business Model Validation for Exploitation Platforms This activity validated the specific business model of the EODC initiative - hyprid use of public infrastructure for public R&D and commercial use - for its possible reuse in the context of the Exploitation Platform programmatic activities.EODC EARTH OBSERVATION DATA CENTRE FOR WATER RESOURCES MONITORING (AT)Digital Platform ServicesplatformsThis activity validated the specific business model of the EODC initiative – hyprid use of public infrastructure for public R&D and commercial use – for its possible reuse in the context of the Exploitation Platform programmatic activities.
Cloudfree Mosaic Platform Pathfinder This activity shall demonstrate platform efficiency in generatong a worldwide cloudfree Sentinel-2 mosaic at full resolutionEOX IT SERVICES GMBH (AT)Digital Platform ServicesplatformsThis activity shall demonstrate platform efficiency in generatong a worldwide cloudfree Sentinel-2 mosaic at full resolution
Coastal Thematic Exploitation Platform Through the provision of access to large volumes of EO and in-situ data, computing resources, algorithm development space and the fundamental processing software required to extract temporal and spatial information from Big Data, C-TEP provides [...]ACRI-ST S.A.S. (FR)Digital Platform Servicesapplications, coastal zone, platformsThrough the provision of access to large volumes of EO and in-situ data, computing resources, algorithm development space and the fundamental processing software required to extract temporal and spatial information from Big Data, C-TEP provides a dedicated service for the observation and monitoring of our coastal environment and society. Integration of satellite EO data, in-situ sensor data and model predictions shall provide an effective means of analysing and understanding the many linked coastal processes across a wide range of space and time scales.
Commercial Operator Identity Hub (COIH): Identity as a Service for the Network of EO Resources In the context of Space 4.0 and its “EO Innovation Europe” concept, the European Space Agency (ESA) is forming a new ecosystem for exploitation of EO data under the name “Network of EO Resources”. The main goal is to bring the numerous and [...]DEIMOS SPACE S.L.U (ES)Digital Platform ServicesplatformsIn the context of Space 4.0 and its “EO Innovation Europe” concept, the European Space Agency (ESA) is forming a new ecosystem for exploitation of EO data under the name “Network of EO Resources”. The main goal is to bring the numerous and largely disparate EO datasets into a federated layer of exploitation platforms and enable the End-Users to perform research directly where the data is stored. Thus, the current paradigm “bring the data to the user” (users having to download enormous datasets to their premises and own massive infrastructures to process that data) will be replaced with the “bring the user to the data” paradigm, as the exploitation platforms will not only provide the raw data, but also a computing framework with specific tools and algorithms relevant to Earth Sciences. Federated Authentication and Authorization Infrastructure (AAI) is one of the key building blocks of this new ecosystem, aimed at providing a Single Sign On (SSO) experience for the users of the Network of EO Resources. In this context, the Agency has run several Pathfinder activities with the aim to align the Federation approaches among the various players in the Earth Observation domain and ensure these approaches are in-line with the AARC Blueprint Architecture and the technical practises in EduGain. To ensure the most cohesive operation of the Network of EO Resources, a centralised “IDaaS” (Identity as a Service) has been identified as the most suitable Identity and Access Management model, which is the subject of this service contract. The European Association of Remote Sensing Companies (EARSC) has been chosen by ESA to act as the Data Controller and Statutory Body for governing the IDaaS services resulting from this contract. The operational context of these services is a pure Business to Business (B2B) environment with no general public involved. The actors of this B2B environment are EARSC and the COIH service provider on one side, and commercial companies involved in the Earth Observation business on the other side.
COMMUNITY EARTH OBSERVATION INTELLIGENCE SERVICE: PROTOTYPING FOR SCALE At present NGOs/CSOs have limited expertise in accessing and utilizing EO data. This project is working with NGOs adressinghuman rights concerns and will develop methodologies for integrating in-situ (citizen data collection), drone and EO data [...]OMANOS ANALYTICS (GB)Digital Platform Servicespermanently open call, platforms, sustainable developmentAt present NGOs/CSOs have limited expertise in accessing and utilizing EO data. This project is working with NGOs adressinghuman rights concerns and will develop methodologies for integrating in-situ (citizen data collection), drone and EO data to enhance the collection of information and evidence on activities affecting human rights in developing countries
CTEO – CryptoTradeable EO EO derived information are increasingly being used as the basis for a range of sensitive decisions linked to commercial operations, public safety and environmental security. At the same time, developments in ICT capability enable an expanded [...]Planetek Italia (IT)Enterpriseblockchain, permanently open call, platforms, securityEO derived information are increasingly being used as the basis for a range of sensitive decisions linked to commercial operations, public safety and environmental security. At the same time, developments in ICT capability enable an expanded volume of information to be generated using distributed approaches such as cloud based storage and processing and platform based interactions, use of algorithms and proprietary datasets. This makes guaranteeing the integrity of both the data and the derived information more and more difficult. This project is testing various Blockchain based approaches to support the different verification elements needed to guarantee the integrity of the data and the analysis. In particular, this project is investigating and testing approaches for dividing, encrypting and distributing large datasets (typical EO imagery) to a group of peers (e.g. in the ground segment and on-board) for enabling tradeable distributed processing, encrypting and distributing metadata in the peer-to-peer network, with guarantee of correct association to the related datasets, signing and uniquely identifying smart contracts (this may be also full-fledged algorithms) based on their input requirements and output products so that the P2P network can guarantee processing traceability and security and implementing a runtime environment suitable for running EO smart contracts, which is able to perform processing with specific execution time constraints, storage constraints, device usage constraints, network usage constraints, metrics constraints applied to output quality.
Datacube Demonstration for TPM The service enables advanced data access and retrieval capabilities on global to local / low to very high resolution EO products, based on OGC WCS and WCPS APIs. The project implements a showcase for Landsat European coverage and validating he [...]MEEO S.R.L. (IT)Digital Platform ServicesplatformsThe service enables advanced data access and retrieval capabilities on global to local / low to very high resolution EO products, based on OGC WCS and WCPS APIs. The project implements a showcase for Landsat European coverage and validating he benefit via an Urban application over Eastern Austria.
DYNAMOS – Dynamic Mosaic Service DYNAMOS is being implemented as a cloud-based, dynamic mosaicking service, initially focussing on Sentinel-2 data. The service will provide users the ability to request the creation of large area mosaics according to their requirements, [...]SPACEMETRIC AB (SE)Digital Platform Servicesgeneric platform service, permanently open call, platforms, Sentinel-2DYNAMOS is being implemented as a cloud-based, dynamic mosaicking service, initially focussing on Sentinel-2 data. The service will provide users the ability to request the creation of large area mosaics according to their requirements, primarily in terms of area and time frames, image selection and prioritisation considerations. DYNAMOS is building on the concept of dynamic mosaic creation. Here “mosaic recipes” capture the required data details and processing steps for the on-demand creation of the mosaic. This also allows actual processing operations to only occur for areas directly demanded e.g. for visualisation or storing only the virtual recipe rather than a large dataset. The DYNAMOS activity is driven by a set of use cases in the agriculture and forestry application areas. The service is currently being designed for and deployed in AWS.
E-COMMERCE PLATFORM FOR MICRO-GEOSERVICES Innovative approaches to distribute services to
both public and private markets, being more automated and interoperable, are
expected to support EO companies in getting the best return on investment.
Micro geo-services based on the use of [...]
Deimos Engenharia (PT)Digital Platform ServicesplatformsInnovative approaches to distribute services to both public and private markets, being more automated and interoperable, are expected to support EO companies in getting the best return on investment. Micro geo-services based on the use of satellite data, delivering very focussed earth measurements (e.g. burnt area map/index, NDVI, land use, etc..), address potentially a wide audience, available to pay only a small amount, typically ordering products for a few tens of Euros, for their geo-temporal area of interest. Given the rather limited revenue margin, it is essential that scalable data storage and processing environments (e.g. on the cloud), but also e-commerce platform capabilities can be shared across value adding providers. In particular, the EO value adding sector is characterised by a high number of small and specialized companies operating in specific application domains; building the complete vertical stack by themselves. While they excel in their core business, they may lack IT competences and/or resources to publish and market their information extraction algorithms via modern on-line platforms. The purpose of this project is aimed then at simplifying and automating overall ICT deployment and commercial exploitation of micro geo-services from the Earth Observation sector. Through an online e-commerce platform (ECOMI) enabling advanced capabilities for publishing, ordering, delivery, accounting and billing, the elapsed time between service demand and service output shall be shortened, avoiding repetitive ICT tasks non related to EO value adder core activities, with an overall efficiency improvement and cost reduction. These micro geo services will be deployed and processed at remote cloud infrastructure (e.g DIAS) and will be executed on demand and scheduled for execution (e.g subscription based ). The ECOMI platform will matchmake EO value adders and the customers of EO services by providing the capability to commercialise their processing algorithm. The will be able to order these services and integrate in their decision making process or even to chain a set of micro geo services to create a work a complex workflow.The Store4EO eCommerce service aims to close the gap between the vast number of EO services available in the EO sector and discoverability of these services to the end users. Store4EO will then foster: B2B commerce where other value adders could also build high-value added services from further concatenation of micro services (e.g. through APIs and workflows)B2G benefitting from trusted and ready-to-use micro services easy to integrate in their processes B2G benefitting from trusted and ready-to-use micro services easy to integrate in their processes B2C commerce where users likely make heavy usage of mobile devices in their daily life< A validated pre-operational platform within 4 months of the project. This first version of the pre-operational platform will be ready for the services providers to register and publish their services for the end users. A business model will be defined. It will incorporate the price model, the subscription schemes , the revenue sharing model with the EO services providers , the envisioned cost structure etc. In terms of high level functionality, the Store4EO service will offer interfaces for the service providers to register and deploy their services in the platform. The platform will provide a user interface for the end users to browse through the service catalogue and select the service they prefer. The catalogue will contain all the necessary information to assist the purchasing decision making process of the end user. The end users will be able to order the service after successfully payment. The users will also be view the status of the orders and receive notification when the product is ready for delivery. The end users will have the option to get the output data from the platform or via API.
Earth Observation for Alpine ecosystems ‘eco4alps’ – Alps regional initiative The project is an Application element of EO4ALPS Regional Initiative. It will develop 6 EO services on ecosystem mapping and monitoring in the alpine region, addressing the specific requirements of national and regional stakeholders and being [...]Solenix Schweiz GmbH (CH)Regional InitiativesAlps, ecosystems/vegetation, forestry, platforms, regional initiativesThe project is an Application element of EO4ALPS Regional Initiative. It will develop 6 EO services on ecosystem mapping and monitoring in the alpine region, addressing the specific requirements of national and regional stakeholders and being sufficiently large in scope and content to strengthen regional cooperation across alpine countries: ecosystem mapping, forest disturbance, forest phenology, forest fire recovery, grassland management and grassland abandonment. A 2nd objective of the project is to demonstrate the added value of an open and federated network of platforms to provide these services at regional scale. A proof of concept on a transboundary area of 50,000 km2 will demonstrate the adequacy and usefulness of the proposed services.
Earth System Data Lab (ESDL) The main objective of the Earth System Data Lab (ESDL) project is to establish and operate a service to the scientific community that greatly facilitates access and exploitation of the multivariate data set in the ESDL and by this means advances [...]BROCKMANN CONSULT GMBH (DE)Scienceland, marine environment, oceans, platforms, scienceThe main objective of the Earth System Data Lab (ESDL) project is to establish and operate a service to the scientific community that greatly facilitates access and exploitation of the multivariate data set in the ESDL and by this means advances the understanding of the interactions between the ocean-land-atmosphere system and society. To this end, the main tasks of the project fall into four main categories: infrastructure and operations, data sets and tools, use cases and scientific exploitation, and communication and outreach. The core part of the ESDL is the data in analysis-ready form, together with tools and methods to generate, access, and exploit the ESDL. The software to generate the ESDL and the data access APIs have been developed in the preceding project CAB-LAB. The modular open source approach adopted in CAB-LAB has proven to be convenient, flexible, and powerful and effectively meets user requirements. ESDL further evolves the range of available tools according to the requirements formulated by the different user groups of the service, while users may also contribute their own solutions and share them with others on github. The project continuously extends the datasets included in the ESDL. The additions imply both extending the data coverage in time as well as the introduction of completely new data sets.  Examples for specific requirements include marine parameters and the missing parameters from ESA’s CCI programme, e.g. Land Cover, Clouds, Aerosols, and Green House Gases. As for the software part, the main objective for these additions is to increase the ESDL’s utility and versatility and thus ultimately the uptake of scientific users, who will then have a powerful tool to advance our understanding of the Earth system dynamics. User uptake and scientific exploitation through the implementation of use cases is actively promoted by several tasks. The project adopts a three-stage approach and accordingly defines three different user types, Champion Users (CU, pre-defined use cases), Early Adopters (EA, Open call), and the Scientific Community (SC, free use). All ESDL users have in common that they are using the ESDL for scientific exploitation. While doing so, they are helping to improve the ESDL and the service provided, to increase the awareness for this activity and the offered service, and to extend the ESDL by contributing own source code and data sets. The ESDL is complemented by extensive outreach, communication, and training activites, which will foster user uptake, empower users to optimally exploit the ESDL, and eventually yield tangible scientific results in the form of peer-reviewed articles in international journals. Champion Use Cases: Four Champion use cases will be implemented in collaboration with distinguished experts  to demonstrate the wide range of different approaches that may be adopted with the ESDL: EM-DAT: Environmental conditions during societal catastrophes GEO-BON Colombia: Supporting regional initiatives in Colombia towards an Ecological Observation System Marine NPP: Primary productivity models in the ocean MDI: Biogeochemical Model Optimization Results: The Data Lab is accessible via registration https://www.earthsystemdatalab.net/index.php/interact/data-lab/ User Guide and Source code for Python and Julia https://www.earthsystemdatalab.net/index.php/documentation/user-guide/
Ease QC – Development of a Service to detect anomalies in Earth Observation data using AI (Artificial Intelligence) models The EASEQC project aimed at expanding the use of AI/ML for quality control of EO products. The traditional approach to quality control, usually involving deterministic models together with considerable manual intervention, is no longer feasible [...]TELESPAZIO VEGA UK LIMITED (GB)Digital Platform Servicesartificial intelligence, generic platform service, permanently open call, platformsThe EASEQC project aimed at expanding the use of AI/ML for quality control of EO products. The traditional approach to quality control, usually involving deterministic models together with considerable manual intervention, is no longer feasible given increasing data volumes of EO data archives. ML/AI has potential to make the process of quality control more efficient. EASEQC focused on the development of semi-supervised ML models for detection anomalies in EO products. This entailed that models can be trained with limited training data and that a model is capable of identifying generally anomalous data products i.e. different anomalies can be detected by the same model. The service has been implemented in a cloud environment and is accessible via an API. Overall, the outcome of the project has seen significant steps made towards the establishment of an operational Ease QC service. Further work is still required to improve the ML models, but the infrastructure successfully developed by the project both with respect to the development of the ML models, and their deployment / operation alongside the data (be that on the cloud or otherwise) is an extremely significant development with respect to the long term objectives of the Ease QC team.
Education Platform This activity has produced a data cube based browser for educational purposes.SINERGISE LTD. (SI)Digital Platform Servicesplatforms, training and educationThis activity has produced a data cube based browser for educational purposes.
EO Innovation Platform Testbed Poland The project has validate procurement mechanisms for a cloud-based resource tier, offering bundled infrastructure (IaaS) and data services (DaaS) to the users, based at minimum on MERIS full resolution, S-2 and Landsat data, possibly extending to [...]CREOTECH INSTRUMENTS SA (PL)Digital Platform ServicesplatformsThe project has validate procurement mechanisms for a cloud-based resource tier, offering bundled infrastructure (IaaS) and data services (DaaS) to the users, based at minimum on MERIS full resolution, S-2 and Landsat data, possibly extending to S-1 and S-3 data.
EO Law – EO derived information in support of Law Enforcement derived information in support of Law Enforcement The EO Law project aims at demonstrating the benefits of using EO based information together with state of the art ICT data analytics and non-EO data fusion in support of Law Enforcement in various domains, from environment to terrorism, and [...]GMVIS SKYSOFT S.A. (PT)Enterpriseplatforms, securityThe EO Law project aims at demonstrating the benefits of using EO based information together with state of the art ICT data analytics and non-EO data fusion in support of Law Enforcement in various domains, from environment to terrorism, and counter proliferation. For this purpose the consortium that will develop the EO Law has engaged relevant users and stakeholders that work in the domains covered in the project, providing context and related requirements to support the definition of service specifications, in order to develop capabilities that can really tackle operational problems of the various areas in support of law enforcing. The domains and services that will be approached in the project are the following: Environmental Crimes -Illegal Logging. In the last few years, illegal logging has emerged as a serious worldwide concern in the forest sector. By its nature of being illegal it is also clandestine, making it difficult to estimate with precision how much wood is logged illegally, where exactly, and by whom. What is known though, is that illegal logging remains a very big problem despite existing efforts to fight it. In this context, the consortium will develop services that can help on the investigation and mitigation of the consequences that result from the illegal logging activities, namely: Detection of routes for movement of timber Detection of forest change Detection of logging support infrastructure   Crimes against humanity – As crimes against humanity are still occurring on a regular basis, there are in contrary often not “visible” to the wider public. This is based mainly on the fact that hostile actions are taken place most of the times in remote and less-accessible areas, where accessibility is limited either due to e.g. armed conflicts or wars, or due to governmental restrictions. As the amount of in-sight information rapidly increased during the last years due to e.g. social media, the confidence level of the information overload was decreasing making it harder to distinguish between “wrong” or “right”. EO-data and EO-derived information can be seen as an independent information source suitable to verify on-sight information and to gain a more sound evidence of actions taken place. The services that will be provided are: Multi-criteria mass grave site suitability model Fire detection in settlements Settlement development & change detection   Terrorism and organized crime – Societies today constantly face terrorist and organize crime actions, which require new methods for modelling and analysis, inherited from various sectors and technological domains. Law enforcement organizations, analysts and field operators fighting terrorism and organized crime need front-line integrated technologies to support their cooperative work. The goal of the services will be spatially depict the activities of different terrorist organizations by means of generalized locations, anomaly characterization/interpretation and also activity analysis. Preparing helpful and applicable/realistic services requires the fusion of multi-source data combining unstructured (descriptive and informational data sources) and structured geospatial data (vector and satellite data) as well as information from open source and public databases like social media networks, crowdsource information etc. The services that will be provided are: Comprehensive and contextual imagery intelligence analysis combing EO data and media sources Hotspot detection layer with potential training camps Hotspot detection layer with potential abnormal activities related to terrorism and organized crime   All the services will be deployed through a virtual web platform that will be used for service ordering, processing and delivery. This platform will be composed by a set of software components integrated together and implemented on a data-rich cloud infrastructure so that the EO data can be accessed online and without the need to transfer it from external sources.
EO Network of Resources The increasing size of available satellite mission data sets, together with Information Computer Technology (ICT) advances has resulted in a paradigm shift. Data do not need any more to be downloaded by the user to their local machine for [...]CLOUDEO AG (DE)Digital Platform ServicesplatformsThe increasing size of available satellite mission data sets, together with Information Computer Technology (ICT) advances has resulted in a paradigm shift. Data do not need any more to be downloaded by the user to their local machine for further processing, on the contrary it is the user who can find the data and process them in cloud environments hosted by ICT providers with expandable processing capabilities. The Network of Resources (NoR) is an ESA initiative to facilitate the use of cloud environments by users, building on and enlarging the previous Open Science for Earth Observation (OSEO) call, sponsoring R&D users for the use of commercial platform resources. The NoR call supports research, development and pre-commercial users to innovate their working practices, moving from a data download paradigm towards a bring the user to the data paradigm, considered essential for maintaining competitiveness of European data exploitation.
EOvideo product Exploitation Platform (VANTAGE) Capturing video from Earth Observation (EO) is one of the most exciting innovations to hit the remote sensing world in recent times. High-resolution, full-colour EO video is enabling fundamental and disruptive changes for the Geospatial [...]Earth-i Ltd (GB)Digital Platform Servicesgeneric platform service, platformsCapturing video from Earth Observation (EO) is one of the most exciting innovations to hit the remote sensing world in recent times. High-resolution, full-colour EO video is enabling fundamental and disruptive changes for the Geospatial Intelligence and Earth Observation industries. EO Video provides several advantages over still imagery, for example: it enables faster and more accurate object recognition using AI and machine learning; It enables 3D models to be created to much higher precision than from a single stereo pair; It provides more contextual information to analysts and researchers, by capturing movement; It allows for more accurate change detection including detection of 3D changes over time; It provides the ability to mitigate patchy cloud and haze in a scene to derive a clear image. VANTAGE is a new, online, cloud-based platform for analysis and exploitation of video from space. The VANTAGE platform includes a repository of high-definition videos captured from Earth orbiting satellites – including data from the Earth-i Vivid-X2 satellite that was launched in 2018. Alongside this data is a suite of sophisticated analytical tools, enabling a user to extract value and insight from the videos such as derivation of 3D models, tracking of moving objects in the videos, extraction of movement vectors and building up cloud-free composite images. The VANTAGE platform also connects to complementary external data sources and enables development of commercial, scientific and public sector applications. VANTAGE enables a user to bring their own EO data as well as their own user-defined workflows and processing algorithms to be deployed and used alongside the predefined list of services and functions. VANTAGE is being developed by Earth-i and CGI under a two-year contract with the European Space Agency, which kicked off in March 2020. The project launched the first version of the platform in November 2020 and will deploy incremental releases of functionality every four months focusing on pre-defined use cases such as earthworks monitoring, deforestation and seaport analytics. The existing VANTAGE services include: Vessel Detection – an AI algorithm to detect and count vessels in satellite video. Motion Tracking – an AI algorithm to track velocity and direction of moving objects, such as aircraft and shipping vessels. Cloud-Free Compositing – an AI algorithm to composite multiple video frames segment the clouds and then removes them to create a cloud-free satellite image. Video Stabilisation – an AI algorithm to stabilise video by aligning each video frame. Frame Extraction – an algorithm to break the video down into individual images for 2D image processing. Video Generation – an algorithm to take multiple 2D images and build it back up into a video, as well as transcoding videos into different formats (e.g. H.264, H.265, MPEG and Motion JPEG). 3D Model Creation – The VANTAGE platform computes a 3D model of the satellite scene and outputs it as a Mesh, DSM and Point Cloud. 3D Volumetric Change Detection Reporting – The VANTAGE platform undertakes change detection between two pre-processed 3D models to map cut and fill regions and report on the volumetric changes detected. Additional features and algorithms will be added to the platform in future releases.
Euro Data Cube Facility The Euro Data Cube Facility (EDC) service is providing a unique service to access to a considerable amount of EO related information from instrument data up to environmental variables, including Copernicus Services.
Capitalizings on EO data [...]
SINERGISE LTD. (SI)Digital Platform ServicesplatformsThe Euro Data Cube Facility (EDC) service is providing a unique service to access to a considerable amount of EO related information from instrument data up to environmental variables, including Copernicus Services. Capitalizings on EO data offer from the cloud (e.g. DIAS), EDC avoids at maximum data replication. It offers to EO value-adders the possibility to apply their own algorithm and data transformations in one-stop-shop Information Factory. The EDC marketplace gives also the opportunity to expose value added data and services fro Third parties. Thanks to its data and processing capabilites offer in the cloud, EDC established a “bridge from Space to Applications” The project also contributes to the interoperability activities in the related domain to maximize the service capabilities and foster federation of similar initiatives worldwide.
European Ecostress Hub The European Ecostress Hub is focusing on the development and implementation of the European Ecostress Hub (EEH) in support of the Copernicus High Priority Candidate Land Surface Temperature Monitoring mission (LSTM). ECOSTRESS data acquired [...]LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY (LU)Applicationsapplications, land surface, platformsThe European Ecostress Hub is focusing on the development and implementation of the European Ecostress Hub (EEH) in support of the Copernicus High Priority Candidate Land Surface Temperature Monitoring mission (LSTM). ECOSTRESS data acquired over Europe and Africa together with user interfaces and application programming interfaces, e.g. scene and area selection, selection of different retrieval methods, different parametrisation and auxiliary information, etc.) shall be made available on a suitable cloud environment. In addition, the hub shall provide a dedicated interface for ingesting campaign data (e.g HyTES campaign data). The study also comprises a detailed analysis of the retrieval performances under consideration of different scene settings (different cover types, different stages in the growing cycle, different climate zones (tropical, dry, mild mid-latitude, cold mid-latitude) over a full growing cycle. 
EXPAND DEMAND – OIL & GAS AND DISASTER RISK FINANCING & TRANSFER In recent years the need for real-time incident satellite imagery has grown within the oil and gas industry.  Following the Gulf of Mexico (Deep water Horizon) oil spill, it became clear that access to real-time satellite data, tasked within [...]CGI IT UK LIMITED (GB)Enterprisenatural hazards and disaster risk, platformsIn recent years the need for real-time incident satellite imagery has grown within the oil and gas industry.  Following the Gulf of Mexico (Deep water Horizon) oil spill, it became clear that access to real-time satellite data, tasked within hours of an incident and used to inform critical decision-making, could have far-reaching impacts for oil & gas operators in their response to oil spill incidents. However, effective use of satellite imagery to help drive response decisions faces a unique challenge in the time it takes from collecting the first image of an area of interest, to a revisit pass of the same area of interest (16 days in the case of Landsat).  This is exacerbated in locations that are closer to the equator than to the poles. The solution is therefore more access to satellites, resulting in non-reliance on a single provider to meet standard needs.  This demand for better access to mission-critical Earth Observation (EO) data has led to the ‘Expand Demand Oil and Gas’ project, created and funded by the European Space Agency (ESA). This project has been running within ESA since 2018, and has two key high-level requirements: To meet a specific operational requirement of the oil and gas industry. To establish generic EO capabilities within the oil and gas industry and showcase the capabilities of the Sentinel mission and the European EO service industry. The benefit of this project to its end-users would be a service delivering relevant near-real-time EO data.  This would be provided by a dedicated portal, where information relating to a specific spill incident is gathered and presented in a clear and systematic way.  The information provided would cover: A timeline of available products from a range of providers. Predictions of future availability of products. Actual products wherever possible Derived services such as oil spill extent mapping. To meet this challenge, the Oil and Gas Industry Earth Observation Response Portal (OGEO – ReP) has been developed.  This platform will assist oil spill responses by gathering, processing and displaying a wide range of relevant EO data, including: Satellite data products from a wide range of sources (free and commercial). Predicted acquisitions relevant to the incident. Derived products, e.g. Oil spill extent mapping, processed as a hosted service. Contextual background information, such as asset locations. The scalability of the platform allows it to process large amounts of data in a spill event, allowing for the inclusion of swath prediction (to identify potential acquisitions of interest),the mapping of a spill event, and running of oil spill drift models to forecast the behaviour of the spill.  This is all presented via an intuitive graphical user interface (G
Federated Identity Management Pathfinders Several different activities to explore the notion of having Federated Identities for EO Exploitation, allowing a user to access services using its home organisation account, e.g. university account being used to access a DLR service or an ATOS [...]CGI IT UK LIMITED (GB)Digital Platform ServicesplatformsSeveral different activities to explore the notion of having Federated Identities for EO Exploitation, allowing a user to access services using its home organisation account, e.g. university account being used to access a DLR service or an ATOS Commercial service.
Flexible ONBoard Data Analysis The amount of data coming from imaging sensors increases steadily and a modern imaging sensor creates frames of several megapixels at a high frame acquisition rate. These imaging sensors with their large data output are mounted on spaceborne [...]Science [&] Technology Norway (NO)Enterprisepermanently open call, platformsThe amount of data coming from imaging sensors increases steadily and a modern imaging sensor creates frames of several megapixels at a high frame acquisition rate. These imaging sensors with their large data output are mounted on spaceborne platforms, but the downlink capability of these spaceborne platforms, especially for small platforms, has not been increasing at the same rate as the data generation of the imaging sensors. This has resulted in a ‘big data problem’ on board these spaceborne platforms. An industry trend towards smaller satellites – with smaller antennas, less power and worse pointing accuracy- leads to an expectation that the downlink capability will remain well below the data generation capability for such imaging satellites. In order to use more acquisitions and have a high ‘usability’ of the satellite, the on-board processing of payload data is a solution. In this project, S&T will determine and test the technology platform that is best suited for onboard intelligent processing of imaging payload data. This will include testing techniques such as development of low volume data products instead of raw image files for downlink, verifying using concrete algorithms and implementation choices how performant such processing can be, exploring the implications of moving certain parts of the processing functionality to FPGA and conducting tests using HyperSpectral imagery on a cubesat.
Food Security Thematic Exploitation Platform The project successfully developed a Thematic Exploitation Platform (TEP) dedicated to Food Security in order to support sustainable agriculture, aquaculture and fisheries by providing access to data, processing tools and computing resources in [...]VISTA GEOWISSENSCHAFTLICHE FERNERKUNDUNG GMBH (DE)Digital Platform ServicesplatformsThe project successfully developed a Thematic Exploitation Platform (TEP) dedicated to Food Security in order to support sustainable agriculture, aquaculture and fisheries by providing access to data, processing tools and computing resources in a cloud environment. It  facilitates collaborative research and benchmarking of methods, development of innovative Apps and services, as well as uptake of EO data in processes of end-users in the above-mentioned sectors.
Forestry Thematic Exploitation Platform The Forestry Thematic Exploitation Platform (Forestry TEP) enables commercial, governmental and research users in the forestry sector globally to efficiently access satellite data based processing services and tools for generating value-added [...]VTT TECHNICAL RESEARCH CENTRE OF FINLAND LTD (FI)Digital Platform Servicesapplications, forestry, platformsThe Forestry Thematic Exploitation Platform (Forestry TEP) enables commercial, governmental and research users in the forestry sector globally to efficiently access satellite data based processing services and tools for generating value-added forest information products. Via the platform, the users can also create and share their own processing services, tools and generated products.
GAME.EO Recent years have brought tremendous advancements in the area of automated information extraction from Earth Observation (EO) imagery, but problems still remain since even state-of-the-art algorithms based on imagery alone do not provide a [...]GISAT S.R.O. (CZ)Enterprisepermanently open call, platforms, sustainable developmentRecent years have brought tremendous advancements in the area of automated information extraction from Earth Observation (EO) imagery, but problems still remain since even state-of-the-art algorithms based on imagery alone do not provide a satisfactory solution. In these situations, it is possible to exploit the crowdsourcing of human intelligence, which is a recent promising area for EO. This is of particular interest with respect to providing information on devleoping countries to International Finance Institutions such as the World Bank.In this project an integrated (hybrid) crowdsourced and EO data-based information extraction framework is being developed. Mobile-based tools for supporting crowdsourcing campaigns and gaming approaches will be developed, and then used to mobilize and train volunteers to provide data via dedicated EO-based workflows to extract the required information in a more timely and accurate manner, with lower costs than would be incurred using professional datacollection services. The approach will be demonstrated using specific service cases for EO-based monitoring of Informal Settlements/Slum Areas (SDG11), with the aim to enhance current machine-learning algorithms for the identification, delineation and further characterization of these areas. The developed framework and tools will be tested in cooperation with World Bank users and stakeholders (GWASP/GSURRP) in an ongoing internal project1 for Dhaka, Bangladesh, to demonstrate the potential and the added value of the synergies of crowdsourcing- and EO-based information to support the World Bank’s research and operational activities.
GammaCloud: Feasiblity of using S1 Terrain Flattened Gamma_0 backscatter across EO platforms The project prototyped a prototype of a processing workflow for improved Sentinel-1 backscatter data, providing a temporal stack of analysis ready data (ARD) that can be integrated into a data cube system allowing to access the data in a spatial [...]EODC EARTH OBSERVATION DATA CENTRE FOR WATER RESOURCES MONITORING (AT)Digital Platform Servicespermanently open call, platforms, Sentinel-1The project prototyped a prototype of a processing workflow for improved Sentinel-1 backscatter data, providing a temporal stack of analysis ready data (ARD) that can be integrated into a data cube system allowing to access the data in a spatial and temporal domain.
Geohazards Thematic Exploitation Platform The Geohazards Exploitation Platform or GEP supports the exploitation of satellite EO for geohazards. In particular it is a contribution to the CEOS WG Disasters to support its Seismic Hazards Pilot and terrain deformation applications of its [...]TERRADUE SRL (IT)Digital Platform ServicesplatformsThe Geohazards Exploitation Platform or GEP supports the exploitation of satellite EO for geohazards. In particular it is a contribution to the CEOS WG Disasters to support its Seismic Hazards Pilot and terrain deformation applications of its Volcano Pilot. The geohazards platform is sourced with elements – data, tools, and processing including INSAR – relevant to the Geohazards theme and related exploitation scenarios.
Geopedia Pay-Per-Use Demonstration on Optical High-Resolution Cloud Platform The project enabled the Sentinel-Hub functions for MERIS, ESA Landsat, validating procurement mechanisms for a cloud-based resource tier sharing also Sentinel data.Centre of Excellence for Space Sciences and Technologies (SPACE-SI) (SI)Digital Platform ServicesplatformsThe project enabled the Sentinel-Hub functions for MERIS, ESA Landsat, validating procurement mechanisms for a cloud-based resource tier sharing also Sentinel data.
Harmonised Landsat-8 and Sentinel-2 Analysis-Ready Products The project developed a prototype service providing analysis-ready harmonized Landsat-8 and Sentinel-2 data/products to the user for easy exploitation. The service will be embedded as a SNAP “plug in”, aiming to be available in the Copernicus [...]TELESPAZIO VEGA UK LIMITED (GB)Digital Platform Servicespermanently open call, platformsThe project developed a prototype service providing analysis-ready harmonized Landsat-8 and Sentinel-2 data/products to the user for easy exploitation. The service will be embedded as a SNAP “plug in”, aiming to be available in the Copernicus Data and Information Access System (DIAS).
Hydrology Thematic Exploitation Platform The Hydrology TEP offers:- a Community Platform: an open, collaborative and inclusive community where users can SHARE information, knowledge, algorithms, methods, tools, results, products, services.- a Service Platform: a portal providing LARGE [...]ISARDSAT S.L. (ES)Digital Platform Servicesapplications, platforms, water resourcesThe Hydrology TEP offers: – a Community Platform: an open, collaborative and inclusive community where users can SHARE information, knowledge, algorithms, methods, tools, results, products, services. – a Service Platform: a portal providing LARGE SCALE EO SERVICES and  PRODUCTS customised for hydrology applications. Flood monitoring and small Water bodies mapping, Water quality and level, Hydrological models. – an Enhancing Platform: a workspace based on the Cloud where users can discover, access, PROCESS, UPLOAD, visualise, manipulate and compare data.
Interactive Hosted EO Processing The project demonstrated, through a proof-of-concept, that merging the concept of hosted EO data processing with GPUs (Graphics Processing Unit) and Web technologies, a solution could be created to allows users to easily exploit data in a fast [...]BRITISH ANTARCTIC SURVEY (GB)Digital Platform ServicesplatformsThe project demonstrated, through a proof-of-concept, that merging the concept of hosted EO data processing with GPUs (Graphics Processing Unit) and Web technologies, a solution could be created to allows users to easily exploit data in a fast interactive manner via a web browser. The PoC used InSAR for demonstration with very good results, the user just having to select the AoI and the algorithm and after some seconds having a InSAR output image.
Ocean Virtual Laboratory The aimof this activity is To exploit the synergy between Sentinel instruments and other mission EO datasets together with in situ measurements in complex waters and improve scientific understanding of ocean and coastal processes and impacts.The [...]OCEANDATALAB (FR)Sciencealtimeter, carbon cycle, carbon science cluster, CryoSat, oceans, platforms, Sentinel-1, Sentinel-2, Sentinel-3The aimof this activity is To exploit the synergy between Sentinel instruments and other mission EO datasets together with in situ measurements in complex waters and improve scientific understanding of ocean and coastal processes and impacts.The main objective of the project is to develop a virtual plateform to allow oceanographers to discover the existence and then to handle jointly, in a convenient, flexible and intuitive way, the various co-located EO datasets and related model/in-situ datasets over dedicated regions of interest with a different multifacet point of view. This is first demonstrated over the Agulhas region. Developed tools shall foster the emergence of new methods prototype and products making use of the complementarity between sensors to study ocean related processes. The tool shall also provide the best possible visibility on the upcoming Sentinel1/2/3 datatakes to help plan and coordinate with field campaign. The OVL is filling the gap between Space agencies data portals that distributes specific EO data and analysis software like IDL/ENVI or Matlab that are more suitable for in-depth analysis of a given dataset. A few GIS systems such as Google Earth are able to import several data layers but very little interaction with data (apart for basic layer transparency) is possible. The project scientific committee has to ensure that the developed OVL is providing significant added value and is not duplicating existing efforts in the international community. Scientists in the consortium shall ensure that OVL is built for scientists and with a large beta-tester community and response effectiveness to satisfy most needs of a rather versatile community.
openEO platform: a Federated Open Earth Observation Platform openEO platform is being implemented as a versatile  cloud-based processing and analytics environment for Earth Observation data. It is being established to address the prevailing capability gap in cloud-based platforms for big EO data [...]EODC EARTH OBSERVATION DATA CENTRE FOR WATER RESOURCES MONITORING (AT)Digital Platform Servicesgeneric platform service, platforms, Sentinel-1, Sentinel-2openEO platform is being implemented as a versatile  cloud-based processing and analytics environment for Earth Observation data. It is being established to address the prevailing capability gap in cloud-based platforms for big EO data processing and analytics. The concepts builds on a federated architecture with initial deployments in EODC, TerraScope, CreoDIAS and the EuroDataCube. openEO platform is a collaborative effort of a experienced European consortium, consisting of partners with strong expertise in cloud platform operation and development, EO science and service provisioning: EODC (AT), VITO (BE), Sinergise (SI), EURAC (IT), EGI (NL) and University Muenster (DE). Additional in kind support is provided by GEO. The current federated architecture includes backends in EODC, VITO Terrascope and CreoDIAS while EuroDataCube is utilised for data access in additional cloud environments.  Several guiding principles govern the implementation of openEO platform. These include:  • Abstracting the complexity of processing and analytic operations through intuitive, high-level API, processes and front end libraries;  • Providing full flexibility and scalability from pixel- to continental level;  • Ensuring transparency, confidentiality, scientific integrity and reproducibility;  The agile open source development is following 9 key use cases that incrementally enhance the capabilities of openEO platform. The first ones that have been addressed include on-demand Analysis Ready Data generation for SAR and multi-spectral data, systematic feature engineering and time series based change detection. 
Platform Common Architecture The project has defined, developped and validated a reference architecture and related implementation of a generic EO Exploitation Platform, as well as its interconnection within a Network of Resources. The architecture and implementation are [...]TELESPAZIO VEGA UK LIMITED (GB)Digital Platform ServicesplatformsThe project has defined, developped and validated a reference architecture and related implementation of a generic EO Exploitation Platform, as well as its interconnection within a Network of Resources. The architecture and implementation are based on open standards and open source.Reusable open source code covering three main domain areas (Federated Identity Management and Authentication plus Authorisation, Processing plus Production Chaining, Data Provisioning and Management plus Accounting) has been released and will be deployed on the varius NoR Resource Tier providers as interoperable layer by the operations teams.
Platform Common Architecture – OGC Testbed 14 The activity (a thread within the OGC Testbed 14 initiative) builds up on the previous Testbed 13 activities by allowing the definition of more complex algoritms (worflows, i.e. multiple tasks executed in proper order) can be defined, deployed [...]CGI IT UK LIMITED (GB)Digital Platform ServicesplatformsThe activity (a thread within the OGC Testbed 14 initiative) builds up on the previous Testbed 13 activities by allowing the definition of more complex algoritms (worflows, i.e. multiple tasks executed in proper order) can be defined, deployed and executed with appropiate access control mechanisms in an interoperable manner across a number of different environments.
Platform Common Architecture – OGC Testbed 13 The activity (a thread within the OGC Testbed 13 initiative) demonstrated how an EO algorithm could be package, deployed and executed in an interoperable manner across a number of different environments.CGI IT UK LIMITED (GB)Digital Platform ServicesplatformsThe activity (a thread within the OGC Testbed 13 initiative) demonstrated how an EO algorithm could be package, deployed and executed in an interoperable manner across a number of different environments.
POINTOUT (Automatic Target Detection in Planet Imagery) Traditional empirical and analytical Earth Observation (EO) algorithms retrieving physical parameters are getting to a fundamental change where learning algorithms without any prior background will be able to set themselves through the ingestion [...]STARLAB BARCELONA SL (ES)Enterpriseartificial intelligence, permanently open call, platformsTraditional empirical and analytical Earth Observation (EO) algorithms retrieving physical parameters are getting to a fundamental change where learning algorithms without any prior background will be able to set themselves through the ingestion of Inputs/Outputs training datasets. Nowadays, Deep Learning (DL) networks among many other Machine Learning (ML) techniques are accurate enough, and computation technology is available to run such models. One of the key issue of such approach is the availability of massive or, large enough, reference datasets to train the models. As the models learn from the available data within the training datasets, if the size of such dataset is relatively small, the models learn very specific features that do not allow o generalize to any input data due to the lack of representativeness of the training dataset. This project addresses this issue in the context of a specific ML application, ie target/feature detection. The main goals are (1) to develop a PLATFORM to build and share collaborative training datasets for combined EO/ML communities, and (2) to implement a generic ML algorithm to detect targets in EO scenes for expert and/or non-expert users online
Polar Thematic Exploitation Platform The Polar Thematic Exploitation Platform provides a complete working environment where users can access algorithms and data remotely, providing computing resources and tools that they might not otherwise have, avoiding the need to download and [...]POLAR VIEW EARTH OBSERVATION LTD (GB)Digital Platform Servicesapplications, cryosphere, platformsThe Polar Thematic Exploitation Platform provides a complete working environment where users can access algorithms and data remotely, providing computing resources and tools that they might not otherwise have, avoiding the need to download and manage large volumes of data. This new approach removes the need to transfer large Earth Observation data sets around the world, while increasing the analytical power available to researchers and operational service providers. Earth Observation is especially import in the polar regions at a time when climate change is having a profound impact and excitement about new economic opportunities is driving increased attention and traffic, resulting in concerns about the state of the region’s delicate ecosystems. Developing tools to model, understand and monitor these changes is vitally important in order to better predict and mitigate the resulting global economic and environmental consequences. Polar TEP provides new ways to exploit EO data for research scientists, industry, operational service providers, regional authorities and in support of policy development.
Proba-V Mission Exploitation Platform – Third-Party Services The project has demonstrated the Proba-V Mission Exploitation Platform (MEP) capabilities (in terms of infrastructure and vegetation product access) with a number of identifies pilot users (scientists and industry) giving them the opportunity to [...]SPACE APPLICATIONS SERVICES S.A./N.V. (BE)Digital Platform ServicesplatformsThe project has demonstrated the Proba-V Mission Exploitation Platform (MEP) capabilities (in terms of infrastructure and vegetation product access) with a number of identifies pilot users (scientists and industry) giving them the opportunity to prototype potential tools and services.
SatHound: Multi-object detection solution based on artificial intelligence for non-expert EO users SatHound is a solution to allow non-technical users configuring and executing multi-object detection processes over satellite images, based on deep learning technologies providing the following features:

Two modes of operation in a clean [...]
THALES ALENIA SPACE ESPANA (ES)Enterprisepermanently open call, platformsSatHound is a solution to allow non-technical users configuring and executing multi-object detection processes over satellite images, based on deep learning technologies providing the following features: Two modes of operation in a clean and powerful user interface with Web-GIS capabilities: The training mode is used for teaching the system how to recognize new objects or to improve previous trainings with new examples. No more training datasets to be shared! This is a user-driven training mode, allowing to define unlimited detection targets. The hound mode is used for searching target objects on different map areas using already acquired knowledge. Batch training lets the user to continue using the hound mode while a SatHound improves it cognitive functions in background. Training status can be consulted at any time. Models are trained incrementally providing fast trainings and the possibility to roll-back to previous knowledge status in case of a wrong training. REST API for integrating with other systems. This lets external systems to scan geographic areas using the hound mode as you would do using the user interface. On-premise, Hybrid or Cloud deployment capabilities. The scalable architecture lets you scale-out the whole application for high availability or heavy load scenarios A local catalogue for hosting the satellite data products used in the searches.
SEN3GCP – Sentinel for 3D Ground Control Point SEN3GCP is conceived as a service that will provide  GCPs (Ground Control Points) and precise co-registration of EO products as an automated service accessible via the web and API. The service will be based on a global database of GCPs that is [...]Planetek Italia (IT)Digital Platform Servicesgeneric platform service, permanently open call, platforms, SARSEN3GCP is conceived as a service that will provide  GCPs (Ground Control Points) and precise co-registration of EO products as an automated service accessible via the web and API. The service will be based on a global database of GCPs that is derived from SAR imagery (3D coordinates including height information) and for which corresponding image chips of multispectral data are derived and maintained. The implemented service will provide GCPs via API and other interfaces. The service will also provide a mechanism for precise co-registration of EO data enabling for example the precise co-registration of multi-spectral and SAR data.
Sentinel Hub for Network of Resources Sentinel Hub services are operational services running on several platforms (AWS EU-Frankfurt, AWS US-West, Creodias, Onda and Mundi web services), providing seamless access to various satellite missions over web service API. They are used by [...]SINERGISE LTD. (SI)Digital Platform Servicespermanently open call, platforms, scienceSentinel Hub services are operational services running on several platforms (AWS EU-Frankfurt, AWS US-West, Creodias, Onda and Mundi web services), providing seamless access to various satellite missions over web service API. They are used by thousands of users (free and payable) all over the world and two million requests are processed on average every single day. Two freely accessible web applications are operated within Sentinel Hub suite – Sentinel Playground, easy-to-use Google Maps-like web client and EO Browser providing a more advanced access to various data-sets supported by Sentinel Hub services. Various advanced features are available as well – export to GeoTiff, statistical analysis, time-lapse generation, custom scripting, etc. This project has performed an upgrade to Sentinel Hub services to make them ready for integration in Network of Resources, including: • User management (authentication and integration with EDUGAIN to make the access available to tens of thousands of Open Science Cloud users without additional registration) • Integration of Sentinel Hub services on the back-end level (to increase system performance, availability, and efficiently exploit separate deployments) • Security • Data fusion to make it possible to combine data from different missions in the same custom script, also adding further attributes (sun angle, quality, projections, etc..) • Upgrade of Python libraries and Web clients to support all above-mentioned new features
Technology and atmospheric mission platform – OPerations (TOP) The atmospheric mission platform has demonstrated that (1) multiple data sources (the "data triangle" namely satellite-based products, numerical model output, and ground measurements) can be simultaneously exploited by users (mainly scientists), [...]SISTEMA GMBH (AT)Digital Platform Servicesatmosphere science cluster, permanently open call, platforms, scienceThe atmospheric mission platform has demonstrated that (1) multiple data sources (the “data triangle” namely satellite-based products, numerical model output, and ground measurements) can be simultaneously exploited by users (mainly scientists), and (2) a fully Virtual Research Environment that allows avoiding the download of all data locally, and retrieving only the processing results is the optimal solution.
Triple-A For Exploitation Platforms The project has provided a pre-operational demonstration of a Triple-A system (Authentication, Authorization and Accounting) for Exploitation Platforms using modern standards such as Open ID Connect (OIDC) and User Managed Access (UMA) based on [...]DEIMOS SPACE S.L.U (ES)Digital Platform Servicespermanently open call, platformsThe project has provided a pre-operational demonstration of a Triple-A system (Authentication, Authorization and Accounting) for Exploitation Platforms using modern standards such as Open ID Connect (OIDC) and User Managed Access (UMA) based on open source technologies.The proposed solution addresses significant gaps on current Authentication, Authorization and Accounting services made available to science users and application developers on exploitation platforms. The projeect results are operationally offered as support services to the “Network of Resources” to integrate platfrom services with federeated identity management.
Urban Thematic Exploitation Platform The Urban TEP project has delivered a fully operated environment demonstrating enabling platform techniology for the following aspects:  - Technical: Linking big data, IT-infrastructures, processing and analysis solutions; - [...]DLR – GERMAN AEROSPACE CENTER (DE)Digital Platform Servicesapplications, platforms, urbanThe Urban TEP project has delivered a fully operated environment demonstrating enabling platform techniology for the following aspects:   – Technical: Linking big data, IT-infrastructures, processing and analysis solutions;  – Thematic: Provision of standardised, new, and tailored products and services for urban environments;  – Societal: Improving access to and distribution of data, methods and information.  – Instrument to gain of knowledge on the urban system:  – Contribution to close gaps in earth system science;  – Increased efficiency, effectiveness and sustainability of functions and services in policy, planning, economy, and science). – Market place of ideas and driver of innovation; – Access point for and network of stakeholders and experts; – Seed point for the animation of new user communities outside EO/geo-sector.
World Ocean circulation The objectives of this activity are to (i) develop and validate innovative methodologies allowing to optimize the synergetic capacity offered by satellite data, in situ measurements and numerical models for improving the retrieval of upper-layer [...]OCEANDATALAB (FR)Applicationsocean health flagship, ocean science cluster, oceans, platforms, science, sea surface topography, sustainable developmentThe objectives of this activity are to (i) develop and validate innovative methodologies allowing to optimize the synergetic capacity offered by satellite data, in situ measurements and numerical models for improving the retrieval of upper-layer ocean circulation products over FOUR high-priority pilot areas chosen as to represent at best the diversity of the world ocean circulation regimes, i.e. one polar sea area, one western boundary current, one upwelling region, one coastal area, and ii) in line with the objectives of the United Nations Decade of Ocean Science for Sustainable Development, demonstrate the unique capacity of the innovative products to support effective actions aiming at procuring a clean, safe, sustainably harvested and productive ocean by targeting FOUR high priority pilot applications, i.e. Pollution Monitoring, Safe Navigation, Sustainable Fisheries and Renewable Marine Energies. In order to answer the project’s objectives, the consortium will investigate the four following themes: Theme 1: Sea-state current interactions for Safe Navigation Theme 2: 3D currents and vertical motion for Sustainable Fisheries Theme 3: Surface Lagrangian drift for a Clean Ocean Theme 4: HR wave and current model assessment for a Productive Ocean For each theme, a minimum of two users have been engaged. Their role during the project is twofold. First, they will provide support to the consortium for the user requirement consolidation both in terms of products needed and ocean processes of utmost importance for their applications. Second, it is expected that feedback on usefulness and impact of the WOC products will be obtained through the impact studies performed by the users. In addition to the development of innovative methods and products targeting direct answers to the user needs, a series of tools will be also developed, implemented and maintained during the project. These tools should ease and maximize the WOC users’ involvement and further aim to attract  potential new users.