• DocumentCode
    142948
  • Title

    The importance of RADARSAT-2 imagery in monitoring river ice cover characteristics and behaviour

  • Author

    Lindenschmidt, Karl-Erich ; Das, Apurba ; Sagin, Jay

  • Author_Institution
    Sch. of Environ. & Sustainability, Univ. of Saskatchewan, Saskatoon, SK, Canada
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1186
  • Lastpage
    1189
  • Abstract
    Past attempts have been made to predict ice cover characteristics and behavior along rivers, both during at freeze-up and breakup conditions; however these attempts perform with varying success and are for the most part site specific. This research introduces a geospatial modelling approach which can fulfil the task of improving the predictive power of river freeze-up and ice cover breakup events. A geospatial model clusters discretized sections of a river that have similar geomorphological (e.g. sinuosity, slope, width, etc.) and ice cover (e.g. ice thickness and type) features under certain hydraulic and meteorological conditions using a multi-variant statistical clustering technique such as the principle component analysis. These clusters can then be grouped into Geomorphic Response Units, each representing a particular set of ice cover characteristics and behavior along the river. RADARSAT-2 imagery and field sampling complement the work to help in the development of the geospatial model. The Slave River in Canada is used as a test site.
  • Keywords
    remote sensing by radar; rivers; synthetic aperture radar; Canada; Geomorphic Response Units; RADARSAT-2 imagery; Slave river; breakup condition; freeze-up condition; geospatial model clusters; ice cover breakup event; multivariant statistical clustering technique; principle component analysis; river freeze-up event; river ice cover behaviour monitoring; river ice cover characteristics monitoring; Geospatial analysis; Ice thickness; Jamming; Lakes; Monitoring; Rivers; RADARSAT-2; Slave River; geomorphic response units; geospatial modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946643
  • Filename
    6946643