Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced e-infrastructures.Earth and Environmental sciences are likely to benefit from Big Data Anal...Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced e-infrastructures.Earth and Environmental sciences are likely to benefit from Big Data Analytics techniques supporting the processing of the large number of Earth Observation datasets currently acquired and generated through observations and simulations.However,Earth Science data and applications present specificities in terms of relevance of the geospatial information,wide heterogeneity of data models and formats,and complexity of processing.Therefore,Big Earth Data Analytics requires specifically tailored techniques and tools.The EarthServer Big Earth Data Analytics engine offers a solution for coverage-type datasets,built around a high performance array database technology,and the adoption and enhancement of standards for service interaction(OGC WCS and WCPS).The EarthServer solution,led by the collection of requirements from scientific communities and international initiatives,provides a holistic approach that ranges from query languages and scalability up to mobile access and visualization.The result is demonstrated and validated through the development of lighthouse applications in the Marine,Geology,Atmospheric,Planetary and Cryospheric science domains.展开更多
Global Change challenges are now systematically recognized and tackled in a growingly coordinated manner by intergovernmental organizations such as the United Nations.Heterogeneous observing networks provide the found...Global Change challenges are now systematically recognized and tackled in a growingly coordinated manner by intergovernmental organizations such as the United Nations.Heterogeneous observing networks provide the founded data sources to assess the Earth environmental status and take sound decisions to achieve a sustainable development.WMO Hydrological Observing System(WHOS)allows to discover and access historical and near real time hydrological observations.WHOS represents the hydrological contribution to the wider WIGOS-WIS system of WMO.It is a digital ecosystems framework contributed by a set of data providers and technical support centers.In this framework,three regional pilots were successfully completed.The WHOS architecture applies the services brokering style,implemented through the Discovery and Access Broker technology.A brokering approach makes a global system of systems possible and sustainable,where the different enterprise systems are enabled to interoperate,despite they implement heterogeneous communication interfaces and data models.In this manuscript,the WHOS brokering solution is detailed by recurring to the definition of a set of transversal viewpoints to describe the important aspects of the complex ecosystem–namely:enterprise,information,computational,engineering,and technological views.Finally,the three regional pilot ecosystems are described as successful cases of WHOS implementation.展开更多
基金the European Community under grant agreement 283610 EarthServer.
文摘Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced e-infrastructures.Earth and Environmental sciences are likely to benefit from Big Data Analytics techniques supporting the processing of the large number of Earth Observation datasets currently acquired and generated through observations and simulations.However,Earth Science data and applications present specificities in terms of relevance of the geospatial information,wide heterogeneity of data models and formats,and complexity of processing.Therefore,Big Earth Data Analytics requires specifically tailored techniques and tools.The EarthServer Big Earth Data Analytics engine offers a solution for coverage-type datasets,built around a high performance array database technology,and the adoption and enhancement of standards for service interaction(OGC WCS and WCPS).The EarthServer solution,led by the collection of requirements from scientific communities and international initiatives,provides a holistic approach that ranges from query languages and scalability up to mobile access and visualization.The result is demonstrated and validated through the development of lighthouse applications in the Marine,Geology,Atmospheric,Planetary and Cryospheric science domains.
基金supported by European Commission,World Meteorological Organization.
文摘Global Change challenges are now systematically recognized and tackled in a growingly coordinated manner by intergovernmental organizations such as the United Nations.Heterogeneous observing networks provide the founded data sources to assess the Earth environmental status and take sound decisions to achieve a sustainable development.WMO Hydrological Observing System(WHOS)allows to discover and access historical and near real time hydrological observations.WHOS represents the hydrological contribution to the wider WIGOS-WIS system of WMO.It is a digital ecosystems framework contributed by a set of data providers and technical support centers.In this framework,three regional pilots were successfully completed.The WHOS architecture applies the services brokering style,implemented through the Discovery and Access Broker technology.A brokering approach makes a global system of systems possible and sustainable,where the different enterprise systems are enabled to interoperate,despite they implement heterogeneous communication interfaces and data models.In this manuscript,the WHOS brokering solution is detailed by recurring to the definition of a set of transversal viewpoints to describe the important aspects of the complex ecosystem–namely:enterprise,information,computational,engineering,and technological views.Finally,the three regional pilot ecosystems are described as successful cases of WHOS implementation.
