• DocumentCode
    3009208
  • Title

    Analysis of Soil Wetness Variations Using AMSR-E Data in Huaihe River Basin

  • Author

    Zheng, Wei ; Li, Jialin

  • Author_Institution
    Nat. Satellite Meteorol. Center, China Meteorol. Adm., Beijing, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Huaihe River Basin is an area where flood and waterlogging disaster happened very frequently. The disaster has mad adverse impacts on the region´s economic development. Precipitation-runoff processes are correlated with catchment´s hydrological conditions. The estimation of soil wetness variations is of considerable importance to improve the reliability of flood warning. Passive microwave data present a potential for flood-waterlogging monitoring and soil moistures estimation. In this paper, soil wetness temporal and spatial variations characteristic were analyzed from 2003 to 2006 years, on the basis of long-term multi-temporal ASMR-E data in Huaihe River Basin. We find that serious flood may approach in the area when a higher soil moisture zone along the Huaihe River comes into being. Furthermore, relationship between soil wetness and precipitation were investigated. The result can provide important information for flood and waterlogging disaster prevention and mitigation in Huaihe River Basin.
  • Keywords
    atmospheric precipitation; disasters; floods; hydrological techniques; remote sensing; rivers; soil; AMSR-E data; Huaihe River Basin; catchment hydrological conditions; disaster mitigation; economic development; flood warning; flood-waterlogging monitoring; passive microwave data; precipitation-runoff processes; soil moistures estimation; soil wetness variations; waterlogging disaster prevention; Floods; Land surface; Moisture; Monitoring; Rivers; Soil moisture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5631370
  • Filename
    5631370