• DocumentCode
    1026690
  • Title

    Toward Snowmelt Runoff Forecast Based on Multisensor Remote-Sensing Informnation

  • Author

    Baumgartner, Michael F. ; Seidel, Klaus ; Martinec, Jaroslav

  • Author_Institution
    Hydrology Laboratory, USDA Agricultural Research Service, Beltsville, MD
  • Issue
    6
  • fYear
    1987
  • Firstpage
    746
  • Lastpage
    750
  • Abstract
    Snow-cover mapping is a prerequisite for deriving the main input variable for a deterministic snowmelt runoff model (SRM). Operational forecasting of snowmelt runoff has to rely on "guaranteed snow cover information" for a specific area and time. Remote sensing can provide the necessary data, especially when different sensor systems are available for combined interpretations. It has been shown already how remote-sensing information from Landsat-MSS and NOAA/AVHRR supplement each other. It is important, though, that when using coarse spatial sensor resolution, special attention to the area, its topography, and the amount of snow coverage must be taken.
  • Keywords
    Economic forecasting; Hydrology; Input variables; Power generation economics; Predictive models; Production; Remote sensing; Rivers; Satellites; Snow;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.1987.289744
  • Filename
    4072717