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Vienna, Austria

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. Source


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. Source


Grant
Agency: Cordis | 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.


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Nautical EOXploration The EOX team went on an inspiring sailing trip to southern Croatia. Enjoy some impressions we dont want to hide from our dear readers ...


EOX IT Services GmbH | Entity website

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