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1  National Institute for Agro-Environmental  Sciences, Tsukuba, Japan 2  Aomori-ITC, Kuroishi, Japan Estimating Biophysical Variables in Rice Canopies by High-Resolution X- and C-SAR Signatures Yoshio Inoue  1 ,  Eiji Sakaiya  2 ,  Naoki Ishitsuka  1
Yield Rice yield in Japan 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993
1. Multi-frequency Ka ---  35.25 GHz Ku ---  15.95 GHz X  ---  9.60 GHz C  ---  5.75 GH L  ---  1.26 GHz 2. Full-Polarization HH, HV, VH, VV 3. Multi-angular Incident angle:  20 º ~  60 º      25 º , 35 º , 45 º , 55 º Azimuth angle:  -60 º ~ +60 º     -28º, -14º, 0º, 14º, 28º   Inoue et al. (RSE 2002) Paddy field
Objective To investigate the capability of high-resolution satellite-SAR imagery in C- and X-bands for assessment of rice growth. ➢  Operational field scale ➢  Detailed plant data
CASI-Hyper Tsugaru site 5 km C-band  @ 1 m HH  25º  VH 21 º  [Radarsat-2 spotlight] Year: 2009,2010 X-band  @ 1 m VV 54 º   VV 54 º  [Skymed spotlight] Year: 2009, 2010 Sky conditions for SAR
Inoue et al. (RSE 2002) Ka Ku X C L
Inoue et al. (RSE 2002) Ka Ku X C L
Datasets Ground-based measurements
1. Canopy height 2. Hill density 3. Stem density 4. Leaf Area Index 5. fAPAR 6. Chlorophyll index 7. Leaf FW, DW, W% 8. Stem FW, DW, W% 9. Head FW, DW, W% 10. Total FW, DW, W% 11. Leaf number/m 2 12. Leaf length  13. Leaf width 14. Leaf thickness 15. Leaf density/m 3 16. Head layer depth 17. Leaf layer depth 18. Stem layer depth 19. Stem diameter  Major plant variables 1. Panicle initiation stage 2. Maturity stage
[object Object],[object Object],[object Object],C-HH and C-VH  signatures  at panicle initiation stage (2010) C-VH σ 0  (dB) C-HH σ 0  (dB) VH = 0.81 HH - 11.5 ,[object Object]
Relations of plant variables with  C-HH and VH  σ 0  at panicle initiation stage ,[object Object],r = 0.5 r= - 0.5
C-VH  signatures at two separate stages  in 2009 and 2010 ,[object Object],[object Object],[object Object]
S=0.69dB/1LAI S=13.2dB/1kg S=1.2dB/1kg S=2.8dB/1fAPAR S=3.8dB/1m S=-0.03dB/1% Relations of  C-VH  σ 0  with major plant variables fAPAR C-VH σ 0  (dB) C-VH σ 0  (dB) Leaf-W % Plant height (m) LAI Leaf-DW  (g m-2) Total-DW  (g m-2)
[object Object],[object Object],[object Object],Relations of plant variables with  C-VH  σ 0  in 2 years r = 0.5 r= - 0.5
X-VV  signatures at maturity stage in 2009 and 2010 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],X-VV σ 0  in 2009 (dB) X-VV σ 0  in 2010 (dB)
S=-0.06dB/1LAI S= 1.9dB/1fAPAR S= 1dB/1kg X-VV σ 0   (dB) LAI Leaf-DW  (g m-2) fAPAR Relations of  X-VV  σ 0  with major plant variables ,[object Object],[object Object],[object Object]
Increase with grain growth Seasonal change of X-VV σ 0  at 55º  over a rice canopy    Inoue et al. (RSE 2002) 15 dB 15 dB Jump with transplanting
S= 1.7dB/1kg S= 2.4dB/1k S= 0.67dB/dm X-VV σ 0   (dB) Leaf-length (m) Stem-DW  (g m-2) Stem density  (m-2) Relations of  X-VV  σ 0  with major plant variables ,[object Object]
Relations of  X-VV  σ 0  with major plant variables X-VV σ 0   (dB) X-VV σ 0   (dB) Total-DW  (g m-2) Head-DW  (g m-2) ,[object Object],[object Object],[object Object]
r = 0.5 Summary of correlations between  X-VV  σ 0  and plant variables
[object Object],Conclusions   ( 1/3) 2.  The σ 0  values in rice canopies were much higher than in water surfaces in both C and X bands;  X:8dB; C: 11dB.
[object Object],Conclusions   (2 /3) ,[object Object]
5. The X-band signature was found to be best correlated with head biomass indicating a good capability for direct assessment of rice grain yield at regional scales.  Conclusions   (3 /3) 6. Systematic approaches would be useful to improve the accuracy; modeling/ optical sensors.
 

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IGARSS2011_TH2.T06.5.ppt

  • 1. 1 National Institute for Agro-Environmental Sciences, Tsukuba, Japan 2 Aomori-ITC, Kuroishi, Japan Estimating Biophysical Variables in Rice Canopies by High-Resolution X- and C-SAR Signatures Yoshio Inoue 1 , Eiji Sakaiya 2 , Naoki Ishitsuka 1
  • 2. Yield Rice yield in Japan 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993
  • 3. 1. Multi-frequency Ka --- 35.25 GHz Ku --- 15.95 GHz X --- 9.60 GHz C --- 5.75 GH L --- 1.26 GHz 2. Full-Polarization HH, HV, VH, VV 3. Multi-angular Incident angle: 20 º ~ 60 º  25 º , 35 º , 45 º , 55 º Azimuth angle: -60 º ~ +60 º  -28º, -14º, 0º, 14º, 28º Inoue et al. (RSE 2002) Paddy field
  • 4. Objective To investigate the capability of high-resolution satellite-SAR imagery in C- and X-bands for assessment of rice growth. ➢ Operational field scale ➢ Detailed plant data
  • 5. CASI-Hyper Tsugaru site 5 km C-band @ 1 m HH 25º VH 21 º [Radarsat-2 spotlight] Year: 2009,2010 X-band @ 1 m VV 54 º VV 54 º [Skymed spotlight] Year: 2009, 2010 Sky conditions for SAR
  • 6. Inoue et al. (RSE 2002) Ka Ku X C L
  • 7. Inoue et al. (RSE 2002) Ka Ku X C L
  • 9. 1. Canopy height 2. Hill density 3. Stem density 4. Leaf Area Index 5. fAPAR 6. Chlorophyll index 7. Leaf FW, DW, W% 8. Stem FW, DW, W% 9. Head FW, DW, W% 10. Total FW, DW, W% 11. Leaf number/m 2 12. Leaf length 13. Leaf width 14. Leaf thickness 15. Leaf density/m 3 16. Head layer depth 17. Leaf layer depth 18. Stem layer depth 19. Stem diameter Major plant variables 1. Panicle initiation stage 2. Maturity stage
  • 10.
  • 11.
  • 12.
  • 13. S=0.69dB/1LAI S=13.2dB/1kg S=1.2dB/1kg S=2.8dB/1fAPAR S=3.8dB/1m S=-0.03dB/1% Relations of C-VH σ 0 with major plant variables fAPAR C-VH σ 0 (dB) C-VH σ 0 (dB) Leaf-W % Plant height (m) LAI Leaf-DW (g m-2) Total-DW (g m-2)
  • 14.
  • 15.
  • 16.
  • 17. Increase with grain growth Seasonal change of X-VV σ 0 at 55º over a rice canopy   Inoue et al. (RSE 2002) 15 dB 15 dB Jump with transplanting
  • 18.
  • 19.
  • 20. r = 0.5 Summary of correlations between X-VV σ 0 and plant variables
  • 21.
  • 22.
  • 23. 5. The X-band signature was found to be best correlated with head biomass indicating a good capability for direct assessment of rice grain yield at regional scales. Conclusions   (3 /3) 6. Systematic approaches would be useful to improve the accuracy; modeling/ optical sensors.
  • 24.  

Editor's Notes

  1. 20100201 課題評価会議:農業空間情報 RP