• DocumentCode
    298794
  • Title

    Estimation of soil moisture and surface roughness parameters using L-band SAR measurements

  • Author

    Shi, Jiancheng ; Wang, James ; Hsu, Ann ; O´Neili, P. ; Engman, Edwin T.

  • Author_Institution
    Inst. for Comput. Earth Syst. Sci., California Univ., Santa Barbara, CA, USA
  • Volume
    1
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    507
  • Abstract
    Monitoring spatial and temporal changes of soil moisture are of importance to hydrology, meteorology, and agriculture. The paper reports the results of a study on using L-band SAR imagery to estimate soil moisture and surface roughness for bare fields. Due to limitations of the small perturbation model, it is difficult to apply this model for estimation of soil moisture and surface roughness directly. In the study, the authors show a simplified model derived from the integral equation model for estimation of soil moisture and surface roughness. They show a test of this model using SIR-C´s and JPL/AIRSAR´s L-band SAR image data
  • Keywords
    geology; geophysical signal processing; hydrological techniques; integral equations; moisture measurement; radar imaging; remote sensing by radar; soil; synthetic aperture radar; L-band SAR measurements; bare field; integral equation model; small perturbation model; soil moisture; spatial changes; surface roughness; temporal changes; Agriculture; Hydrology; Integral equations; L-band; Meteorology; Monitoring; Rough surfaces; Soil moisture; Surface roughness; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.520322
  • Filename
    520322