• DocumentCode
    2140456
  • Title

    Geospatial data integration for applications in flood prediction and management in the Red River Basin

  • Author

    Deschamps, A. ; Greenlee, D. ; Pultz, T.J. ; Saper, R.

  • Author_Institution
    Noetix Res. Inc., Ont., Canada
  • Volume
    6
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    3338
  • Abstract
    Following the 1997 flood, the Red River Basin Task Force recommended the development of an international geospatial database. This database will consist of remotely sensed and GIS data that will eventually be implemented in the decision support system, to improve forecasting and modelling of the Red River basin. This project demonstrates the cross border issues and challenges encountered in the process of merging roads and hydrography vectors from Canadian and US federal governments. The major differences in the datasets between countries are: classification systems, details of attributes, validation dates, and mapping scales. Discrepancies include: horizontal offsets, feature density variations, feature discontinuities, and attribute discontinuities at the border. Flood extent vectors were extracted from RADARSAT images to provide an overview of flood extent at specific time within the Red River basin.
  • Keywords
    disasters; geographic information systems; radar imaging; remote sensing by radar; rivers; spaceborne radar; visual databases; GIS data; RADARSAT images; Red River Basin; attribute discontinuities; attributes; classification systems; cross border issues; decision support system; feature density variations; feature discontinuities; flood extent vectors; flood management; flood prediction; forecasting; geospatial data integration; geospatial database; horizontal offsets; hydrography vectors; mapping scales; remotely sensed data; roads; validation dates; Decision support systems; Floods; Geographic Information Systems; Geology; Monitoring; Predictive models; Remote sensing; Rivers; Spatial databases; US Government;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1027175
  • Filename
    1027175