• DocumentCode
    2450446
  • Title

    A quantitative study of tropical rain cells from ERS SAR imagery

  • Author

    Lin, I.-I. ; Kasilingam, Dayalan ; Alpers, Werner ; Tian Kuay Lim ; Hock Lim ; Khoo, Victor

  • Author_Institution
    Centre for Remote Imaging, Nat. Univ. of Singapore, Singapore
  • Volume
    4
  • fYear
    1997
  • fDate
    3-8 Aug 1997
  • Firstpage
    1527
  • Abstract
    This paper investigates the backscatter signatures of an ERS-2 SAR image of tropical rain cells. The particular type of rain cell studied is a squall line. By comparing with simultaneously acquired ground-based weather radar data, possible attenuation effects from the rain column in the atmosphere are investigated. The rainfall rate is estimated from the attenuation signature in the SAR imagery. Comparison between the estimated rainfall rate and weather radar rainfall rate shows consistency. Wind speed associated with the squall line is also estimated based on the CMOD4 scatterometry model. The estimated wind speed pattern appears to be in agreement with the observed squall line structure. Possible errors in the wind estimation due to effects of rain are suggested. Further study is required to validate these initial results
  • Keywords
    atmospheric techniques; backscatter; electromagnetic wave scattering; meteorological radar; radar cross-sections; rain; remote sensing by radar; spaceborne radar; storms; synthetic aperture radar; wind; CMOD4 scatterometry model; ERS SAR imagery; ERS-2; SAR; atmosphere; attenuation effect; backscatter signature; measurement technique; meteorological radar; radar remote sensing; radar scattering; rainfall rate; sea surface; spaceborne radar; squall line; storm; synthetic aperture radar; tropical rain cell; wind speed; Atmosphere; Attenuation; Backscatter; Meteorological radar; Meteorology; Radar imaging; Radar measurements; Rain; Synthetic aperture radar; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
  • Print_ISBN
    0-7803-3836-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.1997.608930
  • Filename
    608930