Relationship between Rice Spectral and Rice Yield Using Modis Data

  •  I Wayan Nuarsa    
  •  Fumihiko Nishio    
  •  Fumihiko Nishio    
  •  Chiharu Hongo    
  •  Chiharu Hongo    


Information on the distribution of paddy rice fields is essential for food security and water resource management. Remote sensing is a technique that can be used to obtain rice production information from space. In the present study, Moderate Resolution Imaging Spectroradiometer (MODIS) images were used to evaluate the relationship between the rice spectral (normalized difference vegetation index (NDVI)) of Landsat images and rice yield. The results indicated that the relationship between the NDVI and rice age was best described by a quadratic equation, and R2 values ranging from 0.916 to 0.973 were obtained. Three growth variables were evaluated in the present study, and the total NDVI (?NDVI) showed the strongest exponential relationship to rice yield (R2 = 0.9203) and the lowest standard error of estimation (SE = 0.076). Alternatively, NDVImax and AgeNDVImax presented lower R2 values (0.8919 and 0.5776, respectively) and higher SEs of estimation (0.089 and 0.175, respectively). Thus, the results indicate that rice yield can be estimated from the following equation: y = 0.4745e0.0504x, where y is the rice yield and x is the ?NDVI.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • Issn(Print): 1916-9752
  • Issn(Onlne): 1916-9760
  • Started: 2009
  • Frequency: monthly

Journal Metrics

(The data was calculated based on Google Scholar Citations)

  • Google-based Impact Factor (2016): 2.28
  • h-index (December 2017): 31
  • i10-index (December 2017): 304
  • h5-index (December 2017): 22
  • h5-median (December 2017): 27