• DocumentCode
    16852
  • Title

    Potential of Operational High Spatial Resolution Near-Infrared Remote Sensing Instruments for Snow Surface Type Mapping

  • Author

    Buhler, Y. ; Meier, L. ; Ginzler, C.

  • Author_Institution
    WSL Inst. for Snow & Avalanche Res. SLF, Davos, Switzerland
  • Volume
    12
  • Issue
    4
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    821
  • Lastpage
    825
  • Abstract
    Snow changes its morphology permanently from the moment a snow flake touches the ground. Under the influence of meteorological factors such as temperature, humidity, and wind, snow grains form complex structures of ice bonds enclosing variable portions of air. The characteristics of such structures are important for the formation of snow avalanches. Certain snow types such as surface hoar, ice crusts, or windblown snow play a major role in the formation of weak layers and slabs, which are precondition for dangerous slab avalanches. The reflection properties of snow depend on the optical equivalent grain size of the ice particles that constitute the snow cover. High spatial resolution remote sensing instruments with near-infrared (0.7-1.4 μm) bands are able to detect such differences in the optical reflection of snow. We use normalized difference index band ratios from a spaceborne and an airborne remote sensing instrument to distinguish and map different snow-surface types in the neighborhood of Davos, Switzerland, enabling a valuable visualization of the spatial variability of the snow surface.
  • Keywords
    hydrological equipment; hydrological techniques; remote sensing; snow; airborne remote sensing instrument; dangerous slab avalanches; humidity meteorological factor; ice bond complex structures; ice crusts; ice particles; near-infrared bands; near-infrared remote sensing instruments; snow flake; snow grains; snow surface type mapping; spaceborne remote sensing instrument; temperature meteorological factor; wind meteorological factor; windblown snow; Grain size; Instruments; Optical imaging; Optical sensors; Remote sensing; Snow; Spatial resolution; Near infrared (NIR); optical; snow; snow avalanches; snow grain size;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2014.2363237
  • Filename
    6939633