Full text: Technical Commission VIII (B8)

    
  
  
   
  
  
  
  
  
  
  
  
  
  
  
  
  
   
     
     
    
  
   
   
   
   
  
   
  
   
    
   
    
  
  
  
    
     
    
   
  
    
  
  
   
  
    
   
    
    
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Figure 7: Estimation Maps based on HyMap Imagery 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
6. CONCLUSION 
Estimation methods for the wheat yield, quality, and growth 
conditions were evaluated using both the ground-based and 
airborne hyperspectral data of the suburbs of Mullewa, Western 
Australia. This study revealed that the head moisture was well 
estimated by the multi regression analysis using the 
hyperspectral data of the later grain filling stage. This also 
indicated that the grain weight was well estimated by the PLS 
regression analysis, and the grain nitrogen content rate and ash 
content were well estimated by the multi regression analysis 
using the hyperspectral data of the heading stage. To sum up, 
this study achieved certain results of the development of the 
monitoring method for the wheat yield, quality, and growth 
conditions using hyperspectral data of the later grain filling and 
heading stages. For the future, the estimation accuracy will be 
improved by modifying the estimation methods. It is also 
possible that the estimation methods will be examined in 
different regions. 
7. ACKNOWLEDGEMENT 
This study was conducted as part of the project, "The 2009 and 
2010 Research and Development of the Fundamental 
Technology for Next-generation Satellite Utilizations, of the 
former Earth Remote Sensing Data Analysis Center (ERSDAC). 
We sincerely thank Dr. Tom Cudahy and Dr. Ian C Lau at the 
Commonwealth Scientific and Industrial Research Organization 
(CSIRO) and Mr. Buddy Wheaton and Dr. Daniel Carter at the 
Department of Agriculture and Food, Western Australia 
(DAFWA) for their help in the field study and airborne 
observations. 
8. REFERENCES 
Imai, Y., Morita, T., Akamatsu, Y., Odagawa, S., Takeda, T., 
and Kashimura, O., 2011. Evaluation of wheat growth 
monitoring methods based on hyperspectral data in western 
Australia. In: IGARSS 2011: IEEE International Geoscience 
and Remote Sensing Symposium Proceedings, pp. 3338-3341. 
Inoue, Y., Pefiuelas, P., Miyata, A., and Mano, M., 2008. 
Normalized difference spectral indices for estimating 
photosynthetic efficiency and capacity at a canopy scale 
derived from hyperspectral and CO2 flux measurements in rice. 
In: Remote Sensing of Environment, vol. 1112, pp. 156-172. 
Shibayama, M. and Akiyama, T., 1989. Seasonal visible, near- 
infrared and mid-infrared spectra of rice canopies in relation to 
LAI and above-ground dry phytomass. In: Remote Sensing of 
Environment, vol. 27, pp. 119-127. 
  
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