Big Data challenges in building the Global Earth Observation System of Systems (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Big Data challenges in building the Global Earth Observation System of Systems (Articolo in rivista) (literal)

Anno

• 2015-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1016/j.envsoft.2015.01.017 (literal)

Alternative label

• Stefano Nativi, Paolo Mazzetti, Mattia Santoro, Fabrizio Papeschi, Max Craglia, Osamu Ochiai (2015)
  Big Data challenges in building the Global Earth Observation System of Systems
  in Environmental modelling & software; Elsevier, Amsterdam (Paesi Bassi)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Stefano Nativi, Paolo Mazzetti, Mattia Santoro, Fabrizio Papeschi, Max Craglia, Osamu Ochiai (literal)

Pagina inizio

• 1 (literal)

Pagina fine

• 26 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.sciencedirect.com/science/article/pii/S1364815215000481 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 68 (literal)

Rivista

• Environmental modelling & software (Rivista)

Note

• Google Scholar (literal)
• Scopus (literal)
• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-IIA, EC-JRC, GEO Secretariat (literal)

Titolo

• Big Data challenges in building the Global Earth Observation System of Systems (literal)

Abstract

• There are many expectations and concerns about Big Data in the sector of Earth Observation. It is necessary to understand whether Big Data is a radical shift or an incremental change for the existing digital infrastructures. This manuscript explores the impact of Big Data dimensionalities (commonly known as 'V' axes: volume, variety, velocity, veracity, visualization) on the Global Earth Observation System of Systems (GEOSS) and particularly its common digital infrastructure (i.e. the GEOSS Common Infrastructure). GEOSS is a global and flexible network of content providers allowing decision makers to access an extraordinary range of data and information. GEOSS is a pioneering framework for global and multidisciplinary data sharing in the EO realm. The manuscript introduces and discusses the general GEOSS strategies to address Big Data challenges, focusing on the cloud-based discovery and access solutions. A final section reports the results of the scalability and flexibility performance tests. (literal)

Editore

• Elsevier (Editore)

Prodotto di

• Institute of Atmospheric pollution Research (IIA) (Istituto)
• Condivisione delle informazioni geospaziali e della conoscenza ambientale (GENS) (TA.P06.027.001) (Modulo)

Autore CNR

• FABRIZIO PAPESCHI (Persona)
• MATTIA SANTORO (Persona)
• PAOLO MAZZETTI (Unità di personale interno)
• STEFANO NATIVI (Unità di personale interno)

Incoming links:

Prodotto

• Institute of Atmospheric pollution Research (IIA) (Istituto)
• Condivisione delle informazioni geospaziali e della conoscenza ambientale (GENS) (TA.P06.027.001) (Modulo)

Autore CNR di

• STEFANO NATIVI (Unità di personale interno)
• PAOLO MAZZETTI (Unità di personale interno)
• FABRIZIO PAPESCHI (Persona)
• MATTIA SANTORO (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Environmental modelling & software (Rivista)

Editore di

• Elsevier (Editore)