• Title of article

    The MarineGrid project in Ireland with Webcom

  • Author/Authors

    Kenirons، نويسنده , , Martin and Curran، نويسنده , , Oisيn and Cunniffe، نويسنده , , John and Ryan، نويسنده , , Jenny and Ryan، نويسنده , , Paul and Shearer، نويسنده , , Andrew، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    9
  • From page
    205
  • To page
    213
  • Abstract
    The 1999–2007 Irish National Seabed Survey is one of the largest ocean floor mapping projects ever attempted. Its aim is to map the ocean floor of the Irish territorial waters (approximately 525 000 km 2 ). To date, the Geological Survey of Ireland has gathered in excess of 4 TB of multibeam sonar data from the Irish National Seabed, and this data set is expected to exceed 10 TB upon completion. The main challenge that arises from having so much data is how to extract accurate information given the size of the data set. Geological interpretation is carried out by visual inspection of bathymetric patterns. The size of this, and similar, data sets renders the extraction of knowledge by human observers infeasible. Consequently, the focus has turned to using artificial intelligence and computational methods for assistance. The commercial and environmental sensitivity of the data means that secure data processing and transmission are of paramount importance. This has lead to the creation of the MarineGrid project within the Grid-Ireland organisation. New methods have been developed for statistical analysis of bathymetric information specifically for automated geological interpretation of rock types on the sea floor and feature extraction from the sea floor. We present a discussion on how to provide Marine and Geological researchers convenient yet secure access to resources that make use of grid technologies including pre-written algorithms in order to exploit the Irish National Seabed Survey data archive.
  • Keywords
    WEBCOM , Linear feature detection , Lithological classification , Large data set analysis , Distributed workflow
  • Journal title
    Computers & Geosciences
  • Serial Year
    2009
  • Journal title
    Computers & Geosciences
  • Record number

    2287453