• DocumentCode
    3003814
  • Title

    Paddy Rice Identification Using Polarimetric SAR Data in Southern China

  • Author

    Li, Kun ; Shao, Yun ; Zhang, Fengli

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Rice is one of the largest food grains in the world, providing food for more than one third of globe population. The radar remote sensing has been proved as an effective tool for rice mapping. With the emergence of spaceborne polarimetric SAR satellite, researches on polarization backscattering behavior and identification methods of paddy rice are of great significance and attract attention of remote sensing communities. Zhazuo Area located in Guizhou Province of southwest China was selected as the test site of this study. The RADARSAT-2 polarimetric data acquired at four dates were used to analyze the polarization backscattering behaviors and temporal variation characteristics of rice, and identification method for rice based on optimal polarization combination was established. This study shows that HH with HH/HV is the best polarization combination for rice identification under the adoption of linear polarization combination.
  • Keywords
    agriculture; crops; geophysical signal processing; radar polarimetry; radar signal processing; remote sensing by radar; signal classification; synthetic aperture radar; vegetation mapping; Guizhou province; HH radar polarization; HH-HV radar polarization; RADARSAT-2 polarimetric data; Zhazuo area; food grains; paddy rice identification; polarimetric SAR data; polarization backscattering behavior; radar remote sensing; southern China; spaceborne polarimetric SAR satellite; Agriculture; Backscatter; Feature extraction; Monitoring; Polarization; Production; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5631077
  • Filename
    5631077