• DocumentCode
    1357388
  • Title

    Comparison of ERS wind-scatterometer and SSM/I data for Sahelian vegetation monitoring

  • Author

    Frison, P.-L. ; Mougin, E. ; Jarlan, L. ; Karam, M.A. ; Hiernaux, P.

  • Author_Institution
    Lab. des Geomateriaux, Univ. de Marne la Vallee, France
  • Volume
    38
  • Issue
    4
  • fYear
    2000
  • fDate
    7/1/2000 12:00:00 AM
  • Firstpage
    1794
  • Lastpage
    1803
  • Abstract
    ERS wind scatterometer (WSC) and SSM/I data are compared for monitoring the seasonal variation of herbaceous vegetation over a sahelian region. Temporal evolution of polarization difference brightness temperatures derived from SSM/I data and WSC backscattering coefficient acquired at 45° of incidence angle over four different sites during the period 1992-1993, exhibits a marked seasonality with opposite and symmetrical trends. Observed differences between both signals are mainly attributed to atmospheric effects affecting SSM/I data. The use of a semi-empirical model during the 1992 rainy season shows that ΔT temporal evolution is mainly due to the variation of integrated water vapor content of the atmosphere, surface, and air temperature, soil moisture content, and bare soil fraction area. In order to retrieve biomass from SSM/I data, an inversion procedure is performed and compared to previous results obtained with ERS WSC data. The absence of accurate atmospheric data over the Sahel, combined with the sensitivity of the passive model to soil moisture leads to poor results with regard to biomass retrieval from SSM/I data
  • Keywords
    geophysical techniques; radiometry; remote sensing; remote sensing by radar; spaceborne radar; vegetation mapping; AD 1992; AD 1993; Africa; ERS wind-scatterometer; SSM/I; Sahel; Sahelian vegetation monitoring; biomass retrieval; geophysical measurement technique; incidence angle; land surface; microwave radiometry; polarization difference brightness temperature; radar remote sensing; remote sensing; season; seasonal variation; semi-empirical model; spaceborne radar; vegetation mapping; Atmospheric modeling; Backscatter; Biomass; Brightness temperature; Information retrieval; Monitoring; Polarization; Radar measurements; Soil moisture; Vegetation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.851763
  • Filename
    851763