• DocumentCode
    298724
  • Title

    Experimental activities for hydrological studies in the Abruzzo region (Italy): prospects for soil moisture and surface roughness estimations by means of ERS1/SAR image analysis

  • Author

    D´Iorio, M.A. ; Rivard, Benoit ; Budkewitsch, Paul

  • Author_Institution
    Canada Centre for Remote Sensing, Ottawa, Ont., Canada
  • Volume
    1
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    230
  • Abstract
    A research, based on the analysis of ERS1/SAR data for hydrological applications, has been carried out in the Abruzzo region aiming at the integration of microwave (MW) remote sensing (RS) derived data with territorial databases for soil degradation studies. Three different field campaigns were carried out at the same time as the ERS1 overflights collecting dielectric constant (DC), soil moisture content (SMC) and surface roughness data. Electromagnetic models (e.m.) were used to predict the backscattering coefficient (BC) of bare fields where ground truth data were collected. Such data were therefore compared with the ones calculated from the SAR images
  • Keywords
    geology; geomorphology; geophysical techniques; radar applications; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; C-band L-band P-band; Nevada; SAR wavelength; United States USA; alluvial fan; arid terrain; desert; drainage channel; geological interpretation; geology; geomorphology; geophysical measurement technique; land surface; microwave UHF; polarimetry; polarization; radar remote sensing; terrain mapping; vegetated mesa; Backscatter; Databases; Degradation; Dielectric constant; Electromagnetic modeling; Remote sensing; Rough surfaces; Sliding mode control; Soil moisture; Surface roughness;
  • 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.1995.520245
  • Filename
    520245