1 / 22

Estimationg rice growth parameters using X-band scatterometer data

IGARSS2010, Honolulu Hawaii, July 25-30, 2010. Estimationg rice growth parameters using X-band scatterometer data. Yihyun Kim 1* , S.Young Hong 1 , Eunyoung Choe 1 and Hoonyol Lee 2. 1 National Academy of Agricultural Science, RDA, Korea

symona
Download Presentation

Estimationg rice growth parameters using X-band scatterometer data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. IGARSS2010, Honolulu Hawaii, July 25-30, 2010 Estimationg rice growth parameters using X-band scatterometer data Yihyun Kim1*, S.Young Hong1, Eunyoung Choe1 and Hoonyol Lee2 1National Academy of Agricultural Science, RDA, Korea 2 Department of Geophysics, Kangwon National University, Korea

  2. Contents 1 Background 2 Material and Methods 3 Results 4 Conclusion

  3. Background • Rice is one of the major crops in Korea • Microwave radar can penetrate cloud cover regardless of weather condition • Ground-based polarimetric scatterometer has advantage of monitoring crop conditions with full polarization and various frequencies • Plant parameters such as LAI, biomass, plant height are highly correlated with backscattering coefficients • ENVISAT SAR data (5.3 GHz, hh-, hv-polarizations, and incidence angles between 28.5° and 40.9°) to monitor rice growth and compared the data with simulation results (Le Toan et al, 1997)

  4. Background • RADARSAT data (5.3 GHz, hh-polarization, and incidence angles between 36° and 46°) was analyzed for monitoring the rice growth in Korea (Hong et al,2000) • Backscattering coefficients from a ground scatterometer are often affected by weather condition the necessity of near-continuous automatic measurement has arisen by the experiment in 2007 (Kim et al, 2008)

  5. Objective • To analyze scattering characteristics of paddy rice obtained from L, C, X-band automatic scatterometer system • Relationship between backscattering coefficients in L, C, X-band and plant parameters with full polarization • Prediction of rice growth parameters using backscattering coefficients in L, C, X-band

  6. Study site - An experimental field at NAAS, Suwon, Korea • Testing varieties : Chuchoungbyeo • The size field : 660m2

  7. Materials and Methods • L, C, X-band automatic scatterometer system X-band C-band L-band • Measurement Interval : 1 per 10 minutes

  8. Materials and Methods • Specification of the L, C, X-band automatic scatterometer system

  9. Radar backscattering measurement - Between before transplanting(17 May, 2009) and harvesting stage(12 Oct, 2009) • Growth data collection - Leaf Area Index, Plant height, Fresh and Dry weight etc. Transplant stage (mid-May) Panicle formation stage (mid-July) Heading stage (mid-Aug) Harvesting stage (mid-Oct)

  10. Calculation of backscattering coefficients (apply to radar equation) • Backscattering coefficients of X-band the follow expression

  11. Results • Temporal variations ingrowth parameters during rice growth heading stage <Plant height> <Leaf Area Index>

  12. Results • Temporal variations ingrowth parameters during rice growth heading stage <Dry biomass> <Fresh biomass>

  13. Results • Temporal variations of backscattering coefficients at polarization and incident angle 45° for the L-band booting stage ~ heading stage (most active rice growth period)

  14. Results • Temporal variations of backscattering coefficients at polarization and incident angle 45° for the C-band

  15. Results • Temporal variations of backscattering coefficients at polarization and incident angle 45° for the X-band

  16. Results • Relationship between backscattering coefficients at L, C, X-band and plant variables • L-band • C-band • X-band

  17. Results • Optimum condition for estimation of rice growth parameters

  18. Results • Prediction of Leaf Area Index using backscattering coefficients(L-band, HH) y = 0.8739x + 0.4459 R2 = 0.95*** RMSE = 0.2346

  19. Results • Prediction of Biomass using backscattering coefficients (L-band, HH) y = 1.0028x – 0.5471 R2 = 0.95*** RMSE = 8.5412

  20. Results • Prediction of Grain dry weight using backscattering coefficients (X-band, VV) y = 1.1099x – 1.3067 R2 = 0.96*** RMSE = 1.7685

  21. Conclusions • Backscattering coefficients of rice crop were investigated with an automatically -operating ground-based scatterometer • The temporal variations of the backscattering coefficients of the rice crop at L, C, X-band during rice growth period • HH-polarization backscattering coefficients higher than VV-polarization • backscattering coefficients after effective tilleringstage(mid-June) • Relationships between backscattering coefficients and the rice growth parameters • Biomass, LAI was correlated with HH-backscattering coefficients in L-band • X-band was sensitive to grain maturity at near harvesting season • Prediction of rice growth parameters using backscattering coefficients in L, C, X-band

  22. Thank You !

More Related