• DocumentCode
    2093181
  • Title

    Analysis of temporal backscatter of rice: A comparison of RADARSAT observations with modeling results

  • Author

    Shao, Yun ; Liao, Jingjuan ; Fan, Xiangtao ; Wang, Yonghong

  • Author_Institution
    Lab. of Remote Sensing Inf. Sci., Acad. Sinica, Beijing, China
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    478
  • Abstract
    In this study, an established microwave backscatter model is used to predict the radar backscatter behavior of rice and to understand the interaction between backscatter and the rice canopy during its growth cycle. The emphasis of this study is to understand the effect of physical plant parameters on the backscatter signatures as a function of polarization and how these signatures vary during a complete growth cycle of rice. Inputs to the backscatter model included the physical parameters of rice as obtained through field measurements. These measurements were acquired within a few days of multiple RADARSAT acquisitions of the Zhaoqing test site in southern China. RADARSAT observations and the modeling results were then compared and analyzed. The results show that the interaction mechanisms change during the nice growth cycle and that polarimetric and/or multi-polarization measurements at C-band will contribute to rice monitoring programs.
  • Keywords
    agriculture; backscatter; geophysical techniques; radar cross-sections; radar polarimetry; radar theory; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; China; Oryza sativa; RADARSAT; SAR; Zhaoqing; agriculture; backscatter; backscatter model; crops; geophysical measurement technique; growth; model; observations; polarization; radar scattering; rice; spaceborne radar; synthetic aperture radar; temporal variation; vegetation mapping; Backscatter; Calendars; Crops; Laboratories; Layout; Predictive models; Radar remote sensing; Remote sensing; Testing; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1025079
  • Filename
    1025079