• DocumentCode
    1248427
  • Title

    An empirical model for interpreting the relationship between backscattering and arid land surface roughness as seen with the SAR

  • Author

    Deroin, Jean-paul ; Company, Agnès ; Simonin, André

  • Author_Institution
    Dept. Geophys. et Imagerie Geol., BRGM, Orleans, France
  • Volume
    35
  • Issue
    1
  • fYear
    1997
  • fDate
    1/1/1997 12:00:00 AM
  • Firstpage
    86
  • Lastpage
    92
  • Abstract
    The nature of the surface in a flat arid zone located in the western Sahara desert was studied and its roughness parameters defined. The main geological units were compared with backscattering data from ERS-1 images. Results showed a close correlation between the backscattering coefficient, σ0, and the maximum height, hmax, of the rocks making up the arid landscape. The simplified relationship σ0=4.63.1og hmax-15.29 (with hmax in cm and σ0 in dB) was established from field measurements, giving an r2 of about 88%. This empirical relationship is confirmed by another close relation between σ0 and the statistical parameter s, the height standard deviation. The advantage of hmax is that it can be extracted for any site, whatever its roughness may be. The spatial distribution of the rock facets and the geometric characteristics of the incidence angle of the radar signal seem to explain the results
  • Keywords
    backscatter; electromagnetic wave scattering; geomorphology; geophysical techniques; radar cross-sections; radar theory; remote sensing by radar; spaceborne radar; synthetic aperture radar; ERS-1 image; North Africa; SAR; Sahara desert; arid land surface roughness; backscatter; backscattering; empirical model; flat arid zone; geological unit; geology; geomorphology; geophysical measurement technique; land surface; landscape; maximum height; radar remote sensing; radar scattering; radar theory; rock facet; rough surface; roughness parameters; terrain mapping; topography; Backscatter; Geologic measurements; Geology; Humidity; Land surface; Radar imaging; Rough surfaces; Surface roughness; Testing; Vegetation mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.551937
  • Filename
    551937