TY - JOUR ID - 61468 TI - Modeling MODIS LAI time series using stochastic approach JO - Iranian journal of Ecohydrology JA - IJE LA - en SN - 2423-6098 AU - Parviz, Laleh AD - Assistant Professor, Faculty of Agriculture, Azarbaijan Shahid Madani University, Tabriz, Iran Y1 - 2017 PY - 2017 VL - 4 IS - 2 SP - 345 EP - 355 KW - modeling KW - leaf area index KW - seasonal Man –Kendall KW - SARIMA DO - 10.22059/ije.2017.61468 N2 - 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. UR - https://ije.ut.ac.ir/article_61468.html L1 - https://ije.ut.ac.ir/article_61468_c65df36d57e5096277c2683914590642.pdf ER -