• DocumentCode
    3628818
  • Title

    GIS for remote sensing, analysis and visualisation of marine pollution and other marine ecosystem components

  • Author

    Andrzej Chybicki;Marcin Kulawiak;Zbigniew Lubniewski;Jacek Dabrowski;Mariusz Luba;Marek Moszynski;Andrzej Stepnowski

  • Author_Institution
    Gda?sk University of Technology , Narutowicza 11/12, 80-953, Poland
  • fYear
    2008
  • fDate
    5/1/2008 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Pollution detection, environment sensing and appropriate response strategies are important due to the marine ecosystemspsila continuous absorption of pollutants of various origins. Several approaches and techniques of measurements are available for marine environment monitoring including direct sampling, airborne and satellite imagery and underwater acoustics. The huge development in the information technology has provided the possibilities for much faster and more efficient access to survey data, allowing their remote, nearly real-time management, processing and visualisation. The proposed GIS is able to integrate many different types of marine pollution survey data, especially those acquired by various acoustic sensors like Multibeam Sonar Systems (MBSS), echosounder and Side Scan Sonars (SSS). It also supports instantaneous 2D and 3D visualisation in the form of thematic layers that can be overlaid. The system utilises the ArcSDE application server that facilitates storing and managing spatial data (raster, vector, and survey) in a database and ArcGIS Engine GlobeControl and MapControl components for georeferenced presentation of various objects. The set of geoprocessing and spatial analysis methods can be used in order to retrieve relevant information and analysis results.
  • Keywords
    "Geographic information systems","Data visualization","Spatial databases","Sensors","Engines","Three dimensional displays","Petroleum"
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2008. IT 2008. 1st International Conference on
  • Print_ISBN
    978-1-4244-2244-9
  • Type

    conf

  • DOI
    10.1109/INFTECH.2008.4621628
  • Filename
    4621628