A spatial data infrastructure to share earth and space science data (Comunicazione a convegno)

  • A spatial data infrastructure to share earth and space science data (Comunicazione a convegno) (literal)
  • 2006-01-01T00:00:00+01:00 (literal)
Alternative label
  • Nativi S., Mazzetti P., Bigagli L., Cuomo V. (2006)
    A spatial data infrastructure to share earth and space science data
    in American Geophysical Union (AGU) Joint Assembly, 2006, Baltimore Maryland, USA., 23-26 May 2006
  • Nativi S., Mazzetti P., Bigagli L., Cuomo V. (literal)
Pagina inizio
  • IN52A-02 (literal)
  • http://www.agu.org/cgi-bin/SFgate/SFgate?language=English&verbose=0&listenv=table&application=sm06&convert=&converthl=&refinequery=&formintern=&formextern=&transquery=nativi&_lines=&multiple=0&descriptor=%2fdata%2fepubs%2fwais%2findexes%2fsm06%2fsm06%7c609%7c4900%7cA%20Spatial%20Data%20Infrastructure%20to%20Share%20Earth%20and%20Space%20Science%20Data%7cHTML%7clocalhost:0%7c%2fdata%2fepubs%2fwais%2findexes%2fsm06%2fsm06%7c3544551%203549451%20%2fdata2%2fepubs%2fwais%2fdata%2fsm06%2fsm06.txt (literal)
  • 2006 Joint Assembly (literal)
  • 87 (literal)
  • 1 (literal)
  • 36 (literal)
  • Google Scholar (literal)
  • CNR (literal)
  • A spatial data infrastructure to share earth and space science data (literal)
  • AGU (literal)
  • Spatial Data Infrastructure:SDI (also known as Geospatial Data Infrastructure) is fundamentally a mechanism to facilitate the sharing and exchange of geospatial data. SDI is a scheme necessary for the effective collection, management, access, delivery and utilization of geospatial data; it is important for: objective decision making and sound land based policy, support economic development and encourage socially and environmentally sustainable development. As far as data model and semantics are concerned, a valuable and effective SDI should be able to cross the boundaries between the Geographic Information System/Science (GIS) and Earth and Space Science (ESS) communities. Hence, SDI should be able to discover, access and share information and data produced and managed by both GIS and ESS communities, in an integrated way. In other terms, SDI must be built on a conceptual and technological framework which abstracts the nature and structure of shared dataset: feature-based data or Imagery, Gridded and Coverage Data (IGCD). ISO TC211 and the Open Geospatial Consortium provided important artifacts to build up this framework. In particular, the OGC Web Services (OWS) initiatives and several Interoperability Experiment (e.g. the GALEON IE) are extremely useful for this purpose. We present a SDI solution which is able to manage both GIS and ESS datasets. It is based on OWS and other well-accepted or promising technologies, such as: UNIDATA netCDF and CDM, ncML and ncML-GML. Moreover, it uses a specific technology to implement a distributed and federated system of catalogues: the GI-Cat. This technology performs data model mediation and protocol adaptation tasks. It is used to work out a metadata clearinghouse service, implementing a common (federal) catalogue model which is based on the ISO 19115 core metadata for geo-dataset. Nevertheless, other well- accepted or standard catalogue data models can be easily implemented as common view (e.g. OGC CS-W, the next coming INSPIRE discovery metadata model, etc.). The proposed solution has been conceived and developed for building up the \"Lucan SDI\". This is the SDI of the Italian Basilicata Region. It aims to connect the following data providers and users: the National River Basin Authority of Basilicata, the Regional Environmental Agency, the Land Management & Cadastre Regional Authorities, the Prefecture, the Regional Civil Protection Centers, the National Research Council Institutes in Basilicata, the Academia, several SMEs. (literal)
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