10 
— hk (R1450+R1940) 
  
  
  
  
  
0 i 
None less than 5% 
less than 20% 
over than 20% 
Rating of Damaged Area 
almost whole 
Fig 3.2 Relationship between Index and Different Rating of Damaged Area 
4. CONCLUSION 
The relationship between spectral feature and symptom of 
disease was considered in this study. 
Through this discussion, following results were obtained: 
I) Every target had peak reflectance in the region of 340, 
640, 800, 1,450 and 1,940nm. 
2) Infected leaves had typical spectral feature depend on the 
different rating of damaged area. 
3) It was possible to enhance spectral information by 
these indices equations: 
(R640-R340) (R640--R340)....... 1) 
(R800-R640) (R800- R640)....... 2) 
RIASO+RIOG0 3) 
810 
Accordingly proposed combined spectral measurement and 
indices calculation method was proved to be effective for 
the identification of the disease symptom for the diseased 
rice leaves with blast. 
In near future, more detail discussion and the modeling for 
predicting the damage of disease would be possible by 
accumulating the information for spectral features and 
their physical characteristics for infected leaves. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996 
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