Bormann, K., J.P. Evans and M.F. McCabe
3rd International Symposium on Remote Sensing of Environment, Sydney, Australia, 10-15 April 2011.
Seasonal snow cover has been identified as being particularly vulnerable to increasing air temperatures in a
warming climate. Marginal snowfields such as those in Australia are likely to be among the most sensitive seasonal snow
areas to these changes. Data scarcity in the Australian snowfields has limited attempts to characterise snow trends and
restricted snow model evaluation in hydrologic and climate impact studies. Remote sensing has been widely adopted by our
Northern Hemisphere counterparts to increase snow cover data. Global snow products have limitations when used in
Australia's marginal snowfields. This study presents preliminary evaluation of a regional snow cover dataset based on
MODIS retrievals that has been customised for snow detection in Australia for the period 2000-2010.
Figure 1: . Spencers Creek locality (Station shown in magenta) estimated snow cover areas. Approx. 18.5km x 18.5 km viewing
panes. a) Landsat TM true colour image and density slice extent, b) Landsat TM MADI, c) MODIS-MADI,
d) MODIS MOD10L2