• DocumentCode
    575849
  • Title

    Sensitivity of TerraSAR-X, RADARSAT-2 and ALOS satellite radar data to crop variables

  • Author

    Fieuzal, Remy ; Baup, F. ; Marais-Sicre, C.

  • Author_Institution
    Centre d´Etudes Spatiales de la Biosphere (CESBIO), Univ. de Toulouse, Toulouse, France
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3740
  • Lastpage
    3743
  • Abstract
    The aim of this work is to investigate the sensitivity of multi-incidence, multi-frequency and multi-polarized radar signatures over different crops (wheat, rapeseed, soybean, corn and sunflower). Time series of SAR images are acquired by TerraSAR-X (HH), RADARSAT-2 (full polarization) and ALOS (HH) over an agricultural site located in South West of France during the MCM´10 experiment synchronously with ground measurements. The angular normalization of radar signals is performed per crop type at X- and C-bands. The angular sensitivity of the backscatters decreases with the increase of the vegetation index (from 0.4 dB.°-1 over bare soils to 0.05 dB.°-1 for fully vegetated fields). Analyses of the radar time series show that X-, C- and L-bands behaviors are strongly contrasted, depending on the phenological stages of crops, highlighting the interest of using multi-frequency data. Crop height retrieval based on microwave data indicates promising results, with R2 ranging from 0.7 to 0.93.
  • Keywords
    crops; geophysical signal processing; remote sensing by radar; synthetic aperture radar; time series; ALOS satellite radar data; MCM´10 experiment; RADARSAT-2 satellite radar data; South West France; TerraSAR-X satellite radar data; angular normalization; corn; crop height retrieval; crop variables; multifrequency radar signatures; multiincidence radar signatures; multipolarized radar signatures; rapeseed; sensitivity; soybean; sunflower; tme series; wheat; Agriculture; Backscatter; L-band; Satellites; Sensitivity; Spaceborne radar; SAR; crop height; multi-frequency; multi-incidence; time series;
  • 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.2012.6350504
  • Filename
    6350504