文章摘要
Study on LAI monitoring model of rice with GreenSeeker
  
DOI:
Author NameAffiliation
陈青春,林欢,刘冠明 仲恺农业工程学院作物研究所 
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Abstract:
      In order to make clear the quantitative relationship between leaf area index (LAI) and canopy reflectance spectra of active sensor in rice, and coach the rice management, three field experiments with different rice varieties and nitrogen levels were conducted in different years. The time-course measurements were taken on canopy reflectance and LAI during the experimental period. The result showed that LAI could be estimated with the vegetation indice of the active sensor, and the R2 (prediction precision) were 0.97 and 0.92,the RMSE were 0.41 and 1.32, RE were 0.16 and 0.28. So LAI in rice could be monitored directly by vegetation indices of active sensor,and it could give a technical support for rice management.
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