Modeling MODIS LAI time series using stochastic approach

Document Type : Research Article


Assistant Professor, Faculty of Agriculture, Azarbaijan Shahid Madani University, Tabriz, Iran


Leaf area index is one of the most important variables characterizing energy flux, atmosphere- land surface exchange and vegetation structure. In this research, Leaf area index time series of wheat, alfalfa, apple and potato have been investigated using the modeling based on Box-Jenkins method, and  the result of mathematical relationships between leaf area index and NDVI were compared. The trend of MODIS time series in the period of 2012 to 2015 with seasonal length of 46 using seasonal Man –Kendall test was negative. The simulation of time series using ARIMA (p,0,q)×(P,1,Q)46indicated the decease in  error and correlation and NASH coefficient; for example, the correlation coefficients of wheat, alfalfa, apple and potato were 0.9, 0.94,0.93 and 0.89, respectively. The criteria comparison demonstrated the better performance of SARIMA model especially for alfalfa and apple time series with high values of leaf area index. Stochastic modeling has minimum error relative to the mathematical relationships. According to the high performance of SARIMA model, preparation of leaf area index time series with high precision is more important.


Main Subjects

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Volume 4, Issue 2
June 2017
Pages 345-355
  • Receive Date: 30 December 2016
  • Revise Date: 10 February 2017
  • Accept Date: 15 March 2017
  • First Publish Date: 22 June 2017