• DocumentCode
    3293847
  • Title

    Estimating the greatest dust storm in eastern Australia with MODIS satellite images

  • Author

    Li, Xiaojing ; Ge, Linlin ; Dong, Yusen ; Chang, Hsing-Chung

  • Author_Institution
    Sch. of Surveying & Spatial Inf. Syst., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    1039
  • Lastpage
    1042
  • Abstract
    On the 23rd of September 2009, Sydney encountered its most severe dust storm in 70 years. The dusts were originated from the Lake Eyre Basin and elevated and swept across the Australian Capital Territory, New South Wales, and Queensland by gusty winds. Ground air quality observation indicated that the dust particle density was 70 times higher than the normal when the dusts struck Sydney. The authors have researched MODIS satellite optical imagery in order to monitor this severe dust storm, and have extracted the information from the satellite images through computing the brightness temperature difference of two thermal infrared channels of MODIS imagery. This method is effective in separating dust and clouds. The mass of the dust plume, therefore, has been estimated using a retrieval model. However, the result of the mass is believed to be under-estimated because the extent of dusts was too great to be covered by a single MODIS image.
  • Keywords
    clouds; dust; geophysical image processing; lakes; storms; wind; Australian Capital Territory; Lake Eyre Basin; MODIS satellite optical imagery; New South Wales; Queensland; Sydney; brightness temperature difference; clouds; dust particle density; dust plume; dust storm; eastern Australia; ground air quality; gusty winds; thermal infrared channels; Australia; Brightness temperature; Clouds; MODIS; Ocean temperature; Satellites; Storms; MODIS; dust storm; retrieval model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5649212
  • Filename
    5649212