A new approach to snow detection in Australia using MODIS & landsat TM

K. Bormann, Matthew McCabe, J. Evans

Research output: Contribution to conferencePaperpeer-review

Abstract

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.

Original languageEnglish (US)
StatePublished - Dec 1 2011
Event34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring - Sydney, NSW, Australia
Duration: Apr 10 2011Apr 15 2011

Other

Other34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring
CountryAustralia
CitySydney, NSW
Period04/10/1104/15/11

Keywords

  • Australia
  • MODIS
  • Snow

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Environmental Engineering

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