• DocumentCode
    576555
  • Title

    Comparison of Cosmo-SkyMed and TerraSAR-X data for the retrieval of land hydrological parameters

  • Author

    Paloscia, Simonetta ; Pampaloni, Paolo ; Santi, Emanuele ; Pettinato, Simone ; Brogioni, Marco ; Palchetti, Enrico ; Crepaz, Andrea

  • Author_Institution
    Inst. of Appl. Phys., Florence, Italy
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5510
  • Lastpage
    5513
  • Abstract
    The backscattering coefficient variations of Cosmo-SkyMed and TerraSAR-X SAR sensors have been investigated. When possible, the data of the two sensors have been compared and a quantitative analysis was carried out. The comparison of SAR data has been also performed taking into account the temporal variations, in order to quantify potential changes of surface parameters. A series of both Cosmo-SkyMed (CSK) and TerraSAR-X (TSX) images were collected on both mountain and agricultural areas. The potentials of X-band backscattering in estimating hydrological parameters of the surface were investigated.
  • Keywords
    backscatter; data acquisition; geophysical image processing; hydrological techniques; hydrology; moisture measurement; parameter estimation; radar imaging; remote sensing by radar; snow; soil; synthetic aperture radar; CSK image; Cordevole; Cosmo-SkyMed sensors; Italy; SAR data comparison; Scrivia; Sesto; TSX image; TerraSAR-X SAR sensors; X-band backscattering; agricultural area; backscattering coefficient variation; land hydrological parameter retrieval; mountain area; quantitative analysis; sensor data; snow water equivalent; soil moisture retrieval; surface hydrological parameter estimation; temporal variation; Agriculture; Backscatter; Sensitivity; Sensors; Snow; Soil moisture; Cosmo-SkyMed (CSK); Hydrology; TerraSAR-X (TSX); X-band backscattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352358
  • Filename
    6352358