• DocumentCode
    1293685
  • Title

    Rice Crop Monitoring in South China With RADARSAT-2 Quad-Polarization SAR Data

  • Author

    Wu, Fan ; Wang, Chao ; Zhang, Hong ; Zhang, Bo ; Tang, Yixian

  • Author_Institution
    Center for Earth Obs. & Digital Earth, Chinese Acad. of Sci., Beijing, China
  • Volume
    8
  • Issue
    2
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    196
  • Lastpage
    200
  • Abstract
    This letter presents preliminary results of an attempt to monitor rice crop growth using RADARSAT-2 quad polarization synthetic aperture radar (SAR) data. Three RADARSAT-2 quad-polarization SAR images are collected from transplanting to rice crop harvesting. Ground truth data, such as rice height and biomass, are measured during RADARSAT-2 data acquisition in Hainan Province, South China. The correlation between backscattering coefficient and rice growth parameters is analyzed, and then, a rice field mapping method with quad polarization SAR image is developed. Experiments show that an HV or VH image backscattering coefficient exhibits the best correlation with rice age after transplantation. Furthermore, the HV or VH image is also more suitable for retrieving rice growth parameters, such as rice height and dry biomass, for FQ4 RADARSAT-2 SAR data. The ratio image of HH/VV possesses high separability required to distinguish rice crop from banana, forest, and river. Results indicate that RADARSAT-2 quad polarization SAR data presented enormous potential for monitoring rice crop growth.
  • Keywords
    crops; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation mapping; HV image backscattering coefficient; Hainan Province; RADARSAT-2 quad-polarization SAR data; South China; VH image backscattering coefficient; ground truth data; rice crop monitoring; rice growth parameters; rice height; synthetic aperture radar data; Quad polarization; RADARSAT-2; rice crop monitoring; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2010.2055830
  • Filename
    5546899