• DocumentCode
    494385
  • Title

    An AMSR-E Monitoring of Snowstorm-Disaster in South-China in 2008 Year

  • Author

    Mao Kebiao ; Wang Jianming ; Zhang Mengyang ; Tang Huajun ; Zhou Qingbo

  • Author_Institution
    Bejing Inst. of Satellite Inf. Eng., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    443
  • Lastpage
    447
  • Abstract
    It is experienced the low temperature, rain, snow, cold weather never happened over the past 50 years in the South-China in 2008 year. The electricity, transportation, communication, house and farmland have been seriously damaged. It is very urgent to monitor disaster by using remote sensing images, assess and guide disaster relief. Optical and thermal infrared remote sensing is influenced much by atmospheric clouds, so the microwave data is the best choice to monitor and analyze the development of disaster. As the scope of the affected area is very large, passive microwave data AMSR-E is used to monitor the change of snow-area and the distribution of snow-depth (intensity). The application analysis indicates that passive microwave data can be well utilized to monitor changes in snow cover and the intensity distribution, and more study should be made further for mixed pixel including water.
  • Keywords
    disasters; emergency services; geophysics computing; monitoring; remote sensing; snow; AMSR-E monitoring; South China; optical infrared remote sensing; passive microwave data; snowstorm disaster; thermal infrared remote sensing; Clouds; Infrared surveillance; Microwave communication; Optical sensors; Passive microwave remote sensing; Rain; Remote monitoring; Snow; Temperature sensors; Transportation; AMSR-E data; Brightness Temperature; Snowstorm-Disaster;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.14
  • Filename
    5070191