• DocumentCode
    3339255
  • Title

    Quantification of the topographic slope from radar satellite imagery

  • Author

    Dhont, Damien ; Pajot, Emmanuel ; Rudant, Jean-Paul

  • Author_Institution
    Univ. de Pau et des Pays de l´´Adour, Pau, France
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4584
  • Lastpage
    4587
  • Abstract
    A specificity of Synthetic Aperture Radar (SAR) scenes is to display geometric distortions depending on both the system of acquisition ant its relation with the topography. Establishing the geometric relationship between the radar sensor parameters and the related surface deformation should therefore provide quantitative information on the topographic surface. Here, we propose a new technique for the computation of the terrain slope, which is based on the quantification of the geometric deformation generated during the acquisition of a SAR scene. The method uses a pair of radar scenes consisting of an orthorectified image and another in slant-range geometry to compute the local topographic slope of a reference ground segment identified on both images. Computed slope values using ENVISAT-ASAR and TerraSAR-X images and compared with measurements taken in the field in the Djebel En Negueb anticline located in south-central Tunisia reach 3° with both data.
  • Keywords
    radar imaging; synthetic aperture radar; terrain mapping; ENVISAT-ASAR; TerraSAR-X image; geometric distortion; orthorectified image; radar satellite imagery; slant-range geometry; surface deformation; synthetic aperture radar; terrain slope; topographic slope; Azimuth; Extraterrestrial measurements; Radar; Rough surfaces; Surface roughness; Surface topography; SAR; Slope; Tunisia; measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5651808
  • Filename
    5651808