• DocumentCode
    440992
  • Title

    Building remote sensing database on grid

  • Author

    Dong, Shuo ; Hu, Qiaoli

  • Author_Institution
    Dept. of Resource & Environ., Shijiazhuang Coll., China
  • Volume
    1
  • fYear
    2005
  • fDate
    25-29 July 2005
  • Abstract
    a large scale of remote sensing data is obtained every day with the rapid development of remote sensing technology. To store these data will need a large space and to process and analyze these data will need high computational capabilities. Remote sensing data usually are managed by relational database. But with rapid development of the technologies, the data increased in geometric series. Traditional database cannot store and manage these data effectively. Every department will usually build its own database independently. The databases are islands apart from others. The users who want to use the data have to search every database to find the required and copy them to user´s own database. That is time consuming and annoying. Grid is the new technology that provides new ways to solve these problems. Grid integrates the resources and computational capabilities in the Internet or intranet. It provides service-oriented architecture. Bases on grid technology, the new remote sensing database will achieve automatic storage and management. The databases in grid pool combines and acted as one database. It is expressed by services. Users get the results by various services and needn´t copy them to the local database if they require.
  • Keywords
    Internet; database management systems; geophysical techniques; geophysics computing; grid computing; intranets; remote sensing; Internet; data management; grid computing; intranet; remote sensing database; resource integration; service-oriented architecture; Data analysis; Grid computing; Internet; Large-scale systems; Relational databases; Remote sensing; Service oriented architecture; Space technology; Spatial databases; Storage automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
  • Print_ISBN
    0-7803-9050-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.2005.1526156
  • Filename
    1526156