• DocumentCode
    3375391
  • Title

    Estimating rice growth parameters using X-band scatterometer data

  • Author

    Kim, Yihyun ; Hong, Sukyoung ; Choe, Eunyoung ; Lee, Hoonyol

  • Author_Institution
    Rural Dev. Adm., Nat. Acad. of Agric. Sci., Suwon, South Korea
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    1258
  • Lastpage
    1260
  • Abstract
    In this study, we constructed an X-band automatic scatterometer system and analyzed scattering characteristics of paddy rice over the whole period of rice growth from transplanting to harvesting. The backscattering coefficients were calculated from the measured data at incidence angle 45° and full polarization (HH, VV, HV, VH) by applying the radar equation and compared with rice growth data such as plant height, stem number, fresh and dry weight and Leaf Area Index (LAI) that were collected at the same time of each scatterometer measurement. Based on the analysis of the relation between backscattering coefficients at X-band and rice growth parameters, we predicted the rice growth parameters using the radar backscattering data. Relationship between measured and estimated grain dry weight using the X-band backscattering coefficients (VV-polarization) is highly correlated (R2=0.94***). Results from this study show that backscattering coefficients X-band appear effective to estimate rice growth parameters.
  • Keywords
    crops; geophysical equipment; VV-polarization; X-band automatic scatterometer system; X-band backscattering coefficients; X-band scatterometer data; backscattering coefficients; grain dry weight; incidence angle; leaf area index; paddy rice; plant height; radar backscattering data; radar equation; rice growth data; rice growth parameters; stem number; Agriculture; Backscatter; Biomass; Radar measurements; Radar polarimetry; Weight measurement; X-band; backscattering coefficients; polarization; rice; scatterometer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5654066
  • Filename
    5654066