• DocumentCode
    142827
  • Title

    Determination of snow depth using elevation differences determined by interferometric SAR (InSAR)

  • Author

    Evans, Jack R. ; Kruse, Fred A.

  • Author_Institution
    Dept. of Meteorol., Naval Postgrad. Sch., Monterey, CA, USA
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    962
  • Lastpage
    965
  • Abstract
    Snow accumulation is a significant factor for determining sources and amounts of seasonal runoff for a variety of applications. Most current estimates of snow depth, however, consist of manual (spot) measurements combined with weather models, and don´t capture snow depth information at appropriate scales for regional forecasting or local use. Remote sensing data have the potential to determine snow depth and other parameters for large areas that are difficult to measure directly using other methods. The Naval Postgraduate School (NPS) is using Interferometric Synthetic Aperture Radar (InSAR) to explore snow depth estimation approaches. SAR interferograms are calculated to produce digital elevation models (DEMs) for both snow-off and snow-on conditions - DEM subtraction provides an estimate of the snow depth over the area of the remotely sensed data.
  • Keywords
    digital elevation models; hydrology; radar interferometry; remote sensing; snow; synthetic aperture radar; DEM subtraction; NPS; Naval Postgraduate School; SAR interferogram; digital elevation model; elevation difference; interferometric SAR; interferometric synthetic aperture radar; large area parameter; local use; manual measurement; regional forecasting scale; remote sensing data; seasonal runoff amount; seasonal runoff source; snow accumulation; snow depth determination; snow depth estimation approach; snow depth information; snow-off condition; snow-on condition; weather model; Coherence; Earth; Educational institutions; Remote sensing; Snow; Synthetic aperture radar; Interferometric SAR; Snow Depth;
  • 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.2014.6946586
  • Filename
    6946586