• Title of article

    Satellite based observations for seasonal snow cover detection and characterisation in Australia

  • Author/Authors

    Bormann، نويسنده , , Kathryn J. and McCabe، نويسنده , , Matthew F. and Evans، نويسنده , , Jason P.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2012
  • Pages
    15
  • From page
    57
  • To page
    71
  • Abstract
    A new daily snow cover dataset was developed using Moderate resolution Imaging Spectroradiometer (MODIS) Level-1B products for the Australian alpine region over the period 2000–2010 at 500 m resolution. The dataset has been evaluated during clear-sky conditions using snow detection estimates derived from Landsat Thematic Mapper (TM) data and has been compared to the MOD10_L2 snow cover products. The ability to customise the snow detection threshold is one of the benefits of developing the Melt Area Detection Index (MADI) approach for regional conditions. The dataset provides a new satellite based observational record that may be used to characterise spatial and temporal development of Australian snow cover extent and duration. The new snow cover observations provide insight into snow characteristics in this region where significant declines in snow cover extent, season duration and a shift towards earlier snow melt date are observed. Shifts towards early season melt dates are observed for snow at 1580 m and above. This includes areas which are pertinent to snow recreation activities in the region. Season length declines are attributed to earlier seasonal snowmelt rather than later season onset and may be linked to observed warming trends in the area. The MODIS based approach can be applied to other regions and other sensors to assist in evaluating snow modelling efforts and improve water resource management and snow hydrology based investigations.
  • Keywords
    MODIS , Snow trends , regional scale , Snow detection , Australia
  • Journal title
    Remote Sensing of Environment
  • Serial Year
    2012
  • Journal title
    Remote Sensing of Environment
  • Record number

    1632129