• DocumentCode
    2676382
  • Title

    Application of a coherent modeling on Sahelian grassland

  • Author

    Monsivais-Huertero, Alejandro ; Chenerie, Isabelle ; Sarabandi, Kamal ; Baup, Frederic

  • Author_Institution
    Univ. Paul Sabatier, Toulouse
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    3405
  • Lastpage
    3407
  • Abstract
    The validity of a coherent Sahelian-grassland scattering model is determined by comparing the model predictions with satellite measurements of a representative site. This model considers the realistic botanical structure of grassland. The site Agoufou, located in the Northern Mali, was selected as the test target. This site is governed by a semi-arid tropical climate. Its vegetation is mainly composed of shrubs and annual grass. HH polarization backscattering data was collected over an entire growing season at different incidence angles by means of the ENVISAT ASAR. Simulations provided by the coherent model show a good agreement with measured data having a correlation coefficient equal to 0.92. Model predictions show that the HH polarization component is higher than the W polarization component during all growing season. Significant parameters are shown to be the grass density, the soil moisture content and the grass moisture content. The most sensitive parameter is the ground soil moisture content. Moreover, it is observed that the variation of the backscattering coefficient for all parameters can be represented by a linear regression function.
  • Keywords
    environmental factors; hydrological techniques; moisture; remote sensing by radar; soil; vegetation; Agoufou; ENVISAT ASAR; HH polarization backscattering data; Sahelian grassland coherent modeling; W polarization component; annual grass; backscattering coefficient variation; coherent scattering model; grass density; grass moisture content; grassland botanical structure; linear regression function; northern Mali; satellite measurement comparison; semi-arid tropical climate; shrubs; soil moisture content; vegetation; Backscatter; Linear regression; Polarization; Predictive models; Satellites; Scattering; Soil measurements; Soil moisture; Testing; Vegetation; Sahelian grassland; radar remote sensing; scattering model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423576
  • Filename
    4423576