Agency: European Commission | Branch: FP7 | Program: CP | Phase: SPA.2010.1.1-01 | Award Amount: 2.83M | Year: 2011
The project is aimed at developing, implementing and validating a standardized and sustainable service on snow and land ice monitoring as a Downstream Service within GMES in a value added chain with the Land Monitoring Core Services. CryoLand will provide geospatial products on snow cover, glaciers, and lake/river ice derived from Earth observation satellite data. CryoLand will build upon, integrate and widen structural and technical capabilities of the project partners who have long term experience in running operational and pre-operational services on snow and ice. Users will play a key role in the definition of service requirements and in the validation of the products and services. A user group will be set up, and user training on use of products and electronic interfaces will be performed. Snow and ice products in near-real time delivery will be supplied with pan-European coverage, as well as with national and regional coverage. The project developments will build upon tools and processing lines that are available at partners enterprises. The portfolio of snow and ice products will be improved and augmented to better match the user requirements. An important part of the project will be the design, development and implementation of a network system for CryoLand services that will ensure interoperability of infrastructure by compliance with INSPIRE and GEOSS, and by integration with the Land Monitoring Core Services, the GMES Space Component Data Access service, and the required in-situ and reference data access. Full end-to-end tests and verification will be performed for the products and services in pre-operational environment, based on rigorous procedures and protocols for testing, validation and qualification. During the project second phase full performance demonstration of the system and comprehensive promotion and dissemination work is planned in order to prepare for the transition to a self-sustained operational snow and land ice monitoring service.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: SPA-2007-1.1-01 | Award Amount: 32.56M | Year: 2008
geoland2 intends to constitute a major step forward in the implementation of the GMES Land Monitoring Core Service (LMCS). The three components (Local, Continental and Global) of the LMCS are addressed. The goal of geoland2 is (i) to prepare, validate and demonstrate pre-operational service chains and products that will underpin the LMCS, and (ii) to propose and demonstrate a concrete functional organisation of the LMCS. The geoland2 deliverables are : (i) the organisation of a production network, (ii) the building of operational processing lines, (iii), the demonstration of services and products, (iv), the set up of a land user platform. geoland2 efforts will rely on the assets of previous or ongoing projects funded under FP6 (geoland, Boss4GMES), by ESA (GSE projects Land, Forest Monitoring, GMFS, SAGE, Urban Services) and EEAs CLC/FTS 2006 project. The architecture of geoland2 is made of two different layers, the Core Mapping Services (CMS) and the Core Information Services (CIS). The CMS produce basic land cover, land cover change, and land state products which are of broad generic use and can be directly used for deriving more elaborated products. The CMS products cover a wide variety of thematic content, spatial scales from local to global, and update frequency, from 1 day to several years. The CIS are a set of thematic elements that start from CMS products and other data sources to produce elaborated information products addressing specific European policies. They are in direct contact with institutional end-users in charge of European policies and Member State policies which have a generic pan-European character. geoland2 gathers 51 partners from 21 European countries. The requested EC grant is 25 M, which corresponds to a total budget of approximately 37 M. The largest part of the budget allocation goes to the construction of the CMS.
Aubrecht C.,The World Bank |
Ozceylan Aubrecht D.,Sakarya University |
Ungar J.,EOX IT Services GmbH |
Freire S.,European Commission - Joint Research Center Ispra |
Steinnocher K.,AIT Austrian Institute of Technology
Transactions in GIS | Year: 2016
The concept of Volunteered Geographic Information (VGI) has progressed from being an exotic prospect to making a profound impact on GIScience and geography in general, as initially anticipated. However, while massive and manifold data is continuously produced voluntarily and applications are built for information and knowledge extraction, the initially introduced concept of VGI lacks certain methodological perspectives in this regard which have not been fully elaborated. In this article we highlight and discuss an important gap in this concept, i.e. the lack of formal acknowledgment of temporal aspects. By coining the proposed advanced framework 'Volunteered Geo-Dynamic Information' (VGDI), we attempt to lay the ground for full conceptual and applied spatio-temporal integration. To illustrate that integrative approach of VGDI and its benefits, we describe the potential impact on the field of dynamic population distribution modeling. While traditional approaches in that domain rely on survey-based data and statistics as well as static geographic information, the use of VGDI enables a dynamic setup. Foursquare venue and user check-in data are presented for a test site in Lisbon, Portugal. Two core modules of spatio-temporal population assessment are thereby addressed, namely time use profiling and target zone characterization, motivated by the potential integration in existing population dynamics frameworks such as the DynaPop model. © 2016 John Wiley & Sons Ltd.
Agency: European Commission | Branch: FP7 | Program: CPCSA | Phase: INFRA-2011-1.2.1. | Award Amount: 5.03M | Year: 2011
EarthServer aims at open access and ad-hoc analytics on Earth Science (ES) data, based on the OGC geo service standards Web Coverage Service (WCS) and Web Coverage Processing Service (WCPS). The WCS model defines coverages as unifying paradigm for multi-dimensional raster data, point clouds, meshes, etc., thereby addressing most of Earth Science data. WCPS as aka XQuery for raster data allows declarative, SQL-style queries on coverages.The project will develop a pilot implementing these standards, integrated with NetCDF and GeoSciML, two core formats used in the ESs, and open-source GIS tools. Integration of WCPS with XQuery will allow mixed data/metadata queries. The unified service will support navigation, extraction, aggregation, and ad-hoc analysis on massive n-D ES data through queries of open-ended complexity, achieving a flexibility on coverage data as it is known from SQL. Clients will range from mobile devices over Web tools to high-end immersive virtual reality.- In the RTD part, EarthServer will establish open-source client and server technology which is scalable to Petabyte/Exabyte volumes, based on distributed processing, supercomputing, and cloud virtualization. Implementation will be based on the existing rasdaman server technology developed by one partner, an operational system similar to SciDB.- In the Service part, this new service will be installed on super-scale archives of data centers serving atmospheric, oceanography, geology, and general earth observation communities. Queries can span archive sites and cross-domain data sets. Volumes of 20\ TB will be demoed.- In the Networking part, user training, community involvement and outreach, education of society (students, pupils, etc.) and public authorities, and standardization will be performed (e.g., OGC and INSPIRE).This novel quality of service, with its unified overarching retrieval, will enable new discoveries and enhanced collaboration, both ad-hoc and in long tail science.
Hirtl M.,ZAMG Central Institute for Meteorology and Geodynamics |
Mantovani S.,SISTEMA GmbH |
Kruger B.C.,University of Natural Resources and Life Sciences, Vienna |
Triebnig G.,EOX IT Services GmbH |
And 3 more authors.
Atmospheric Environment | Year: 2014
Daily regional scale forecasts of particulate air pollution are simulated for public information and warning. An increasing amount of air pollution measurements is available in real-time from ground stations as well as from satellite observations. In this paper, the Support Vector Regression technique is applied to derive highly-resolved PM10 initial fields for air quality modeling from satellite measurements of the Aerosol Optical Thickness.Additionally, PM10-ground measurements are assimilated using optimum interpolation. The performance of both approaches is shown for a selected PM10 episode. © 2013 Elsevier Ltd.