Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Monitoring and Assessment of Regional air quality in China using space Observations, Project Of Long-term sino-european co-Operation (MARCOPOLO)

Framework: FP7 — Cooperation
Programme: Space
Destination: Cross-cutting activities
Action type: Collaborative project
Countries involved: Netherlands,Greece,Belgium,Denmark,Finland,China,Netherlands,Belgium,United Kingdom,Spain
Call:  (FP7-SPACE-2013-1, 2013)
Start date: 2014-01-01
Duration (months): 39.0
Total project cost (EUR): 2901414.8
EU funding (EUR): 1997380.0
Participants: 15
Project status: CLOSED

Due to the strong economic growth in the China in the past decade, air pollution has become a serious issue in many parts of the country. Therefore, up-to-date regional air pollution information and means of emission control for the main pollutants are important for China. Especially, the Beijing-Tianjin-Hebei region, the Yangtze River and the Pearl River deltas are known as three focal regions with serious air pollution where air quality policies are very important. Within the FP6 project AMFIC atmospheric environmental monitoring over China was addressed by a team of both Chinese and European scientists. Within AMFIC it was concluded that modelling of air quality and therefore the forecast capabilities are hampered by the rapidly changing emissions due to economic growth. In addition, air quality measures could not directly be related to changes in emissions. Therefore, within the follow-up proposal - MarcoPolo - the focus will be on emission estimates from space and the refinement of these emission estimates by spatial downscaling and by source sector apportionment. Air pollutants cover both anthropogenic and biogenic sources. A wide range of satellite data will be used from various instruments. From these satellite data, emission estimates will be made for NOx, SO2, PM and biogenic sources. With various state-of-the-art techniques emission inventories will be created and intercompared. By combining these emission data with known information from the ground a new emission database for MarcoPolo will be constructed. Due to the strongly growing economy in China regular emission inventories are quickly outdated. Within MarcoPolo we will have a monthly update of the emissions based on the latest satellite observations. The improved emission inventory is input to regional air quality models on meso-scale and urban-scale. End-users and decision makers will be informed about air quality via visualized model results and forecasts.

Keywords: emission inventory,air quality,china,satellite retrievals,emission estimates
Enabling Intelligent GMES Services for Carbon and Water Balance Modeling of Northern Forest Ecosystems (NORTH STATE)

Framework: FP7 — Cooperation
Programme: Space
Destination: Space-based applications at the service of the European Society
Action type: Collaborative project
Countries involved: Finland,United Kingdom,Iceland,Norway,Russian Federation
Call:  (FP7-SPACE-2013-1, 2013)
Start date: 2013-10-01
Duration (months): 39.0
Total project cost (EUR): 2600875.0
EU funding (EUR): 1993022.0
Participants: 7
Project status: CLOSED

Boreal forest is the largest terrestrial biome and will be strongly affected by climate warming, which is predicted to be strongest at high latitudes, with significant impacts on the European economy. North State will demonstrate how innovative methods applied to the new Sentinel data streams can be combined with models to monitor carbon and water fluxes for pan-boreal Europe, with intensive study sites in Finland, Iceland and Russia. This will reduce the high uncertainty in current estimates of flux rates. Key model parameters will be derived from Sentinel and other EO data, in situ and ancillary data, including relevant FP7 and ESA CCI projects. Parameter types include forest characteristics such as area and species, model drivers such as incoming radiation, and indicators of the dynamic state of the forest, such as fAPAR and tree height. Many of these parameters will also be applicable for other purposes, such as operational forest management. The project brings together leading experts and organisations, including an SME experienced in developing value adding services, needed to address key research challenges that require innovative remote sensing methods: adaptation of the carbon and water cycle models for effective use of EO data; effective pre-processing and data management techniques to exploit high temporal frequency time series; assessing the potential of hyper-spectral data; developing powerful data fusion techniques; and developing an intelligent, automated framework to learn from and interpret multi-source data to address a key societal problem. It responds to the Lund declaration and the recommendations of the Space Advisory Group. It will strengthen European leadership in the provision of EO-based services and will be a paradigm for exploiting opportunities offered by the new generation of EO satellites in developing products for future GMES services.

Keywords: remote sensing,gmes,carbon and water cycle models,data fusion,automated approach,self-learning
Advanced Techniques for Forest Biomass and Biomass Change Mapping Using Novel Combination of Active Remote Sensing Sensors (ADVANCED_SAR)

Framework: FP7 — Cooperation
Programme: Space
Destination: Space-based applications at the service of the European Society
Action type: Collaborative project
Countries involved: Sweden,Austria,Sweden,Finland,Ireland
Call:  (FP7-SPACE-2013-1, 2013)
Start date: 2013-10-01
Duration (months): 48.0
Total project cost (EUR): 2668482.4
EU funding (EUR): 1993062.0
Participants: 5
Project status: CLOSED

The S&T objectives of the Advanced_SAR project are: 1) to develop advanced Earth Observation methods by combining 3D data derived from various Remote Sensing systems in an novel way and 2) to show their improved performances in forest biomass estimation and biomass change detection with respect to present GMES services. The methodology is based on object-based, multi-date analysis of Sentinel-1 (C-band), TerraSAR/TanDEM-X (X-band), ALOS-2 PALSAR-2 (L-band) SAR data utilizing radargrammetry and InSAR. Understanding of 3D forest responses will be deepened by comparing results to other modern 3D methods: optical satellite stereo-photogrammetry, simulated space-borne LiDAR, and Airborne Laser Scanning (ALS). It will be shown that high-quality estimation and change detection can be done at different scales (thus improving estimation accuracy at national level). We develop methods to derive the best possible cost-efficiency out of the given SAR data with an aim to significantly advance current GMES services. The methodological quality will be verified by comparing the relationship between SAR canopy height estimates with those of two probing systems: TomoRadar (profiling radar) and ALS. ALS gives more information of canopy gaps whereas TomoRadar will give information of canopy penetration at radar frequencies. A physical model is created between the SAR response and the ground truth. Deep physical understanding of where the radar signals originate in the vertical dimension is created for SAR scenes with using ALS and TomoRadar data as a high-quality reference. Moreover, Mobile and Terrestrial Laser Scanning methods for field inventory are tested in real-life scenario. Two super test sites 1) boreal test site Evo (Finland) and 2) hemi-boreal test site Remningstorp (Sweden) are used to verify and demonstrate SAR-based 3D methods. For demonstration purposes, we create SAR-based biomass and change maps covering a large region of Sweden for Swedish National Forest Inventory.

Keywords: forest resource mapping,synthetic aperture radar,radargrammetry,sar interferometry,laser scanning,lidar,national forest inventory,biomass,canopy height,mobile laser scanning,profiling radar
ERMES: An Earth obseRvation Model based RicE information Service (ERMES)

Framework: FP7 — Cooperation
Programme: Space
Destination: Space-based applications at the service of the European Society
Action type: Collaborative project
Countries involved: Italy,Switzerland,Spain,Spain,Greece
Call:  (FP7-SPACE-2013-1, 2013)
Start date: 2014-03-01
Duration (months): 36.0
Total project cost (EUR): 3356866.11
EU funding (EUR): 2477583.0
Participants: 7
Project status: CLOSED

ERMES (An Earth obseRvation Model based RicE information Service) aims to develop a prototype of downstream service dedicated to rice sector based on assimilation of EO and in situ data within crop yield modelling. The objective of this service, targeted to European needs, is to: a) contribute to the regional authorities in the implementation of agro-environmental policies; b) support farming activities for sustainable management practices; c) provide independent reliable information to the agro-business sector. The long term goal is to extend and adapt the service to Asian and African markets, in order to boost European competitiveness and contribute to a sustainable development. On the base of previous experience of the consortium partners in rice mapping and monitoring with SAR/optical data, biophysical parameters retrieval, rice growth and development modelling and meteo variables estimation, two services are foreseen: Regional Rice Service (RRS) to provide to public authorities a customized agro-monitoring system devoted to regional yield estimates and risk alarming. Digital maps and bulletin will be disseminated via web through INSPIRE compliant geo-portal; Local Rice Service (LRS) to provide to the private sector (farmers and agro-services and insurance companies) high level information on yield variability, risk alert and crop damage assessment at farm scale. Advanced smart technologies will be used to receive in-situ observations from the user, to be ingested in crop model, and to disseminate customised information to them. The maturity of GMES/Copernicus core products and the advent of Sentinel data represent the right framework to develop specific EO based added value products for agriculture sector. In particular the complementary information of Sentinel SAR and Optical data at high resolution will provide a new opportunity to guarantee operational customised information on crop status making regional agro-monitoring feasible and local agro-consulting possible.

Keywords: crop model,rice,sentinel
Multitech SeCurity system for intercOnnected space control groUnd staTions (SCOUT)

Framework: FP7 — Cooperation
Programme: Security
Destination: Increasing the Security of infrastructures and utilities
Action type: Collaborative project
Countries involved: Italy,Germany,Netherlands,Poland,Ukraine,Spain
Call:  (FP7-SEC-2013-1, 2013)
Start date: 2014-11-01
End date: 2018-04-30
Duration (months): 42.0
Total project cost (EUR): 3491730.81
EU funding (EUR): 2382677.7
Participants: 9
Project status: CLOSED

The goal of the project is to study, design and analyze on a risk-based approach a security system relying on multiple technologies for the protection of space control ground stations (SCGSs) against physical and cyber attacks and for intelligent reconfiguration of the ground station network in the case that one or more nodes fail. The SCOUT system is composed of three subsystems: 1) A distributed multisensor network for protection against physical attacks (SENSNET) composed of low impact sensors, namely passive sensors (passive radar, infrared camera, radiometric SAR) and low emission radars (noise radar based sensors (NRBS)). 2) A distributed telecommunication network sensing system for the detection and protection against cyber attacks (CYBERSENS), composed of several hardware probes (monitoring devices located at every ground stations), software probes (lightweight software sensing agents residing in the ground station machines), a honeynet (a decoy network used to detect and track cyberattacks), and a central engine which coordinates the entire infrastructure. 3) A management network system for automatic restoration and intelligence reconfiguration of the SCGS network (RECOVER), designed in accordance to the distributed Smart Sensor Network paradigm where the reconfiguration and control is governed by distributed logic. The first two subsystems allow acquisition of information about potential attacks of the SCGS that are processed by a centralized Main Control Unit (MCU) to have a situation awareness picture used to assess the degree of alert. They are controlled to focus their resources on the potential threats. According to the network fault, RECOVER is activated. The main tasks of the MCU are: 1) data processing 2) decision making support 3) subsystem control with graphical user interface included Two risk tools are developed to identify vulnerabilities of the SCGS against physical and cyber attacks, which drive the design and functionalities of SCOUT.

Keywords: sensor network,cyber security,network recovery
European Reanalysis of the Global Climate System (ERA-CLIM2)

Framework: FP7 — Cooperation
Programme: Space
Destination: Space-based applications at the service of the European Society
Action type: Collaborative project
Countries involved: United Kingdom,United Kingdom,Germany,Switzerland,Austria,Portugal,Russian Federation,France,France,Germany,Italy,Finland,United Kingdom,France
Call:  (FP7-SPACE-2013-1, 2013)
Start date: 2014-01-01
Duration (months): 48.0
Total project cost (EUR): 15893496.2
EU funding (EUR): 6996159.48
Participants: 17
Project status: CLOSED

Production of an extended climate reanalysis of the 20th century, with consistent descriptions of the global atmosphere, ocean, land-surface, cryosphere, and the carbon cycle. Production of a new reanalysis of the satellite era with near-real time data updates for climate monitoring. Research and development in various aspects of coupled data assimilation to improve the use of observations in future fully coupled earth-system reanalysis productions. Preparation of input data sets required for reanalysis, including uncertainty assessments, homogenisation, data reprocessing. Data rescue activities aimed at improving climate reanalysis capabilities, including imaging and digitisation of historic in-situ observations as well as recovery and assessment of early satellite data records. Development of data services and visualisation tools for reanalysis output products, and for the observations used to create them.

Keywords: climate reanalysis data assimilation earth system coupled climate models
Harmonized framework allowing a sustainable and robust identity for European Citizens (EKSISTENZ)

Framework: FP7 — Cooperation
Programme: Security
Destination: Increasing the Security of citizens
Action type: Collaborative project
Countries involved: France,Netherlands,France,Estonia,Spain,Belgium,Germany,Italy,Latvia,Belgium
Call:  (FP7-SEC-2013-1, 2013)
Start date: 2014-06-01
End date: 2017-05-31
Duration (months): 36.0
Total project cost (EUR): 4753638.0
EU funding (EUR): 3482175.0
Participants: 12
Project status: CLOSED

The increase of the identity theft phenomenon across Europe and its related human and economical impacts is a major concern for all M.S. Several EU initiatives are ongoing to try to curb this concern. Today’s identity can take various forms, either in the “real” world, as a primary identity delivered by a M.S. (passport, ID card, driving license...) but more and more in the “2.0” world (secondary identity for banking, administration, professional and commercial activities...). Similarly identity theft can take various forms, from stealing citizens' paper documents, or simply by using digital means. Privacy is at the center of all concerns, as any solution must protect citizen’s identity and privacy, whilst not being worse than the problem itself. The major objective of EKSISTENZ is to protect EU citizens’ identities from all current threats but also to foresee what the future threats would be. The project will study in deep the identity theft phenomenon in Europe, revealing the flaws in the different “paper-based” procedures but also in the new dematerialized processes, assess the threat for the citizen and consequently, will develop technological components, backward compatible with different existing M.S. frameworks. EKSISTENZ will also focus on an “identity-as-a-service” approach, to allow M.S. interoperability, leading to a more global system to provide secure and strong identity for all M.S. To achieve this, the consortium will bring together different types of users involved in the identity chain (authorities, industrials, stakeholders, businesses), specialized technology providers and of course, data protection and privacy experts. EKSISTENZ will recommend updates to EU regulations in order to clearly inform, protect, propose responses and increase its resilience following an attempt. Knowing this, identity theft will become, if not impossible, much harder to carry out.

Keywords: identity,identity theft,citizen centric,interoperability,protection,detection,resilience,response
PROCESSING LINES AND OPERATIONAL SERVICES COMBINING SENTINEL AND IN-SITU DATA FOR TERRESTRIAL CRYOSPHERE AND BOREAL FOREST ZONE (SEN3APP)

Framework: FP7 — Cooperation
Programme: Space
Destination: Space-based applications at the service of the European Society
Action type: Collaborative project
Countries involved: Finland,Switzerland,Austria
Call:  (FP7-SPACE-2013-1, 2013)
Start date: 2013-12-01
Duration (months): 36.0
Total project cost (EUR): 2916586.0
EU funding (EUR): 2212191.25
Participants: 5
Project status: CLOSED

The Sentinel- satellite series aims at frequent global coverage of the Earth surface in full spectrum of remote sensing. This enables the use of well-established satellite products, built up with earlier more research oriented satellites, to be used for the benefit of people in six core areas of Copernicus/GMES: security, land monitoring, climate change, atmosphere monitoring, emergency management and marine environment monitoring. The SEN3APP- project addresses three of these, namely climate change, land monitoring and security. SEN3APP is concerned with the development, implementation, operationalization and validation of Sentinel data processing lines for cryospheric (terrestrial) and land cover/phenology applications. Both global and regional applications are included, focusing to high latitudes of the Earth and other parts of the cryosphere.The processing lines will utilize SAR and medium/high resolution optical/IR-range data from Sentinels 1, 2 and 3. An essential aspect of the project is the development and harmonization of data processing modules/routines in order to facilitate new European satellite data processing capabilities for the European and global user community. For selected applications/products, the processing lines will also provide the automated validation tools. The processing lines to be designed and implemented contain distributed systems with contributions of the project partners. Operational capabilities of FMI Sodankylä satellite data center are applied to host part of the infrastructure and also complete processing lines. The overall objective of the proposed project is to provide end-users with products and services relevant to: • Numerical Weather Prediction (NWP): land surface processes and albedo • Local/regional scale climate change studies and planning of adaptation strategies • Ecosystem studies & assessment of ecosystem services • Evaluation of nutrient leaching caused by different land use and management practices for implementation of Water Framework directive objectives • Hydrological forecasting and monitoring including hydro-power industry, flood prevention and water resources assessment • Carbon balance monitoring and assessment • Environmental monitoring including disasters, forest diseases and crop yield • Construction and logistics as to soil frost and permafrost (roads, buildings, timber collection)

Keywords: snow cover,glaciers,soil freeze and thawing,lake and river ice,land cover,gmes downstream services
The biogenesis of tail-anchored membrane proteins: knowledge and exploitation (TAMPTING)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom,Italy,Netherlands,Germany,Germany,Sweden,Israel
Call:  (FP7-PEOPLE-2013-ITN, 2013)
Start date: 2013-11-01
End date: 2017-10-31
Duration (months): 48.0
Total project cost (EUR): 3421158.62
EU funding (EUR): 3421158.62
Participants: 8
Project status: CLOSED

Even in the simplest cells, the integration of proteins into a biological membrane is a complex process that is frequently coupled to ribosomal protein synthesis, and requires the coordinated actions of several additional cellular machines. The de novo recapitulation of such a complex process is well beyond the scope of our current technical abilities. Indeed, the techniques that are used to create novel proteoliposomes, for drug delivery, and artificial membranes, for synthetic biology, are extremely crude. A common approach is to mix detergent solubilised proteins with lipids, and then remove the detergent to form proteoliposomes, a process that is inefficient and difficult to control. Another major limitation of this approach is our inability to alter the protein complement of the resulting phospholipid-bilayers once they are formed. It is precisely this issue that our consortium will address, by creating a flexible and ubiquitous platform that is ideally suited to incorporating proteins into preformed liposomes. To achieve this novel and innovative breakthrough in liposome technology, we will harness the unusual ability of tail-anchored proteins to be inserted into pre-existing membranes. This technique will enable the production of customised liposomes that can be tailored to optimise drug delivery, and allow the creation of multifunctional artificial membranes for the newly emerging field of synthetic biology. The overriding ethos of our network is to develop a robust platform for the application and exploitation of tail-anchored membrane proteins based on a framework that develops and enhances fundamental insight and training in this new field of research.

Keywords: liposomes,membrane protein integration,membrane protein synthesis,protein targeting,targeted drug delivery