• DocumentCode
    255174
  • Title

    Capability of multi-temporal Radarsat-2 data in monitoring canola crop and its plant height

  • Author

    Hao Yang ; Erxue Chen ; Zengyuan Li ; Guijun Yang ; Xingang Xu ; Lin Yuan ; Qi Feng ; Lei Zhao

  • Author_Institution
    Inst. of Forest Resource Inf. Tech., Beijing, China
  • fYear
    2014
  • fDate
    11-14 Aug. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The potential capability of C-Band fully polarimetric synthetic aperture radar data for monitoring canola height was investigated in this study. Polarimetric parameters of canola fields were extracted with polarimetric decompositions method from multi-temporal Radarsat-2 images. Temporal behavior of polarimetric features with different varieties and sowing dates was presented from its sowing to its harvest. It was found that the evolution curve of Entropy and Alpha-angle parameters is highly consistent with the evolution trend of canola height over time. A second order polynomial model was applied to inverse the canola height over a farmland area of China, during the 2013 growing season. Even if the proposed method is simple, the result was encouraging with a high level of agreement (R2=0.96, RMSE=13.1cm, RE=14.3%). Therefore, it revealed a strong capability of polarimetric synthetic aperture radar data in characterizing canola plant height, especially in vegetative growth stage.
  • Keywords
    agriculture; height measurement; radar polarimetry; remote sensing by radar; synthetic aperture radar; C-band radar; alpha angle parameter; canola crop monitoring; entropy evolution curve; fully polarimetric synthetic aperture radar; multitemporal Radarsat-2 data; plant height monitoring; vegetative growth stage; Agriculture; Entropy; Estimation; Monitoring; Remote sensing; Synthetic aperture radar; crop growth monitoring; height estimation; polarimetric feature; synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/Agro-Geoinformatics.2014.6910614
  • Filename
    6910614