• DocumentCode
    3446019
  • Title

    Research on mapping technology of GIS based on business-oriented marine remote sensing monitoring

  • Author

    Xiangchao Kong ; Ruifu Wang ; Quanbo Xin ; Nannan Liu ; Maojing Xu

  • Author_Institution
    Shandong Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In recent years, China has paid more attention to the development of careers regarding oceans. Marine enterprise obtained the corresponding development. However, there were often natural disasters or accidents at sea, such as green tide, sea ice, or oil spills. The marine monitoring department in China tracked, monitored and forecasted disasters and accidents by GIS and satellite remote sensing technology. For cyclical disasters that changed gradually from original emergencies, accident monitoring and prediction became routine monitoring and prediction. A lot of work needed to be processed. The paper mainly explains how to map rapidly, efficiently, and automatically combining the advantage of GIS technology with cartography.
  • Keywords
    cartography; disasters; environmental monitoring (geophysics); geographic information systems; marine accidents; marine engineering; marine safety; remote sensing; China; GIS technology; accident monitoring; accident prediction; business-oriented marine remote sensing monitoring; cartography; cyclical disasters; disaster forecasting; disaster monitoring; disaster tracking; green tide; mapping technology; marine enterprise; marine monitoring department; natural disasters; oil spills; original emergencies; routine monitoring; satellite remote sensing technology; sea accidents; sea ice; Accidents; Business; Monitoring; Remote sensing; Satellites; Sensors; Software; GIS; business-oriented work; mapping technique; remote sensing monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
  • Conference_Location
    Kaifeng
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/Geoinformatics.2013.6626109
  • Filename
    6626109