• DocumentCode
    299047
  • Title

    On the use of ERS-1 multi-temporal SAR data for agricultural applications

  • Author

    Borgeaud, Maurice ; Noll, Josef ; Bellini, Andrea

  • Author_Institution
    Eur. Space Res. & Technol. Centre, Noordwijk, Netherlands
  • Volume
    2
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    904
  • Abstract
    The site chosen for this investigation is Flevoland in the Netherlands. The terrain is very uniform and consists either of crops or bare soils early and late in the season. Seventeen ERS-1 SAR precision images in PRI format collected in 1993 are used as well as ground data measured by local investigators at the time of the overfly. Due to the flatness of this agricultural terrain, there is no need for topographic correction of the SAR data. Because of the excellent stability of the ERS-1 spaceborne satellite, it is possible to make multi-temporal observations over the site. This technique is used to accurately extract temporal profiles of the backscattering co-effcient for several crops such as winter wheat, potatoes, sugarbeets, barley, lucerne, and grass. The possible use of such “signatures” for identification and classification purpose is investigated
  • Keywords
    agriculture; backscatter; geophysical techniques; radar applications; radar cross-sections; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; AD 1993; ERS-1; Flevoland; Holland; Netherlands; PRI format; SAR precision image; agriculture; backscattering co-effcient; bare soil; crops; farmland; geophysical measurement technique; image classification grass; land surface; multi-temporal SAR; radar remote sensing; radar scattering signature; spaceborne radar; terrain mapping; vegetation mapping; winter wheat potato; Agriculture; Backscatter; Calibration; Crops; Data mining; Notice of Violation; Satellites; Soil measurements; Stability; Time measurement;
  • 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.1995.521092
  • Filename
    521092