• DocumentCode
    47102
  • Title

    Polarimetric Response of Rice Fields at C-Band: Analysis and Phenology Retrieval

  • Author

    Lopez-Sanchez, Juan M. ; Vicente-Guijalba, Fernando ; Ballester-Berman, J. David ; Cloude, Shane R.

  • Author_Institution
    Syst. & Telecommun. Group, Univ. of Alicante, Alicante, Spain
  • Volume
    52
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    2977
  • Lastpage
    2993
  • Abstract
    A set of ten RADARSAT-2 images acquired in fully polarimetric mode over a test site with rice fields in Seville, Spain, has been analyzed to extract the main features of the C-band radar backscatter as a function of rice phenology. After observing the evolutions versus phenology of different polarimetric observables and explaining their behavior in terms of scattering mechanisms present in the scene, a simple retrieval approach has been proposed. This algorithm is based on three polarimetric observables and provides estimates from a set of four relevant intervals of phenological stages. The validation against ground data, carried out at parcel level for a set of six stands and up to nine dates per stand, provides a 96% rate of coincidence. Moreover, an equivalent compact-pol retrieval algorithm has been also proposed and validated, providing the same performance at parcel level. In all cases, the inversion is carried out by exploiting a single satellite acquisition, without any other auxiliary information.
  • Keywords
    crops; phenology; radar imaging; remote sensing by radar; vegetation mapping; C-band radar backscatter; RADARSAT-2 images; Seville; Spain; auxiliary information; equivalent compact-pol retrieval algorithm; fully polarimetric mode; ground data; parcel level; phenological stages; phenology retrieval approach; polarimetric observables; polarimetric response; rice fields; rice phenology; scattering mechanisms; single satellite acquisition; test site; Backscatter; Image color analysis; Monitoring; Polarimetry; Radar polarimetry; Satellites; Agriculture; phenology; polarimetry; rice; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2013.2268319
  • Filename
    6562759