Investigating the trend of vegetation change in the Central Plateau of Iran with the help of remotely sensed time series between 2002-2018

Vegetation consist of collections with spontaneous growing. MODIS vegetation index plays an essential role in several studies about EOS (Earth Observation System). The aim of this research is evaluation of vegetation trends in Central Plateau of Iran. This aim was done by remote sensing data and time series. Using the data are related to (MOD13A2) MODIS sensor and Terra satellite and they are 16 days with spatial resolution 1km during 2002 to 2018. For this purpose, we used from significance of Mann Kendall and linear correlation parameters such as maximum monthly vegetation maximum annually vegetation based on maximum monthly vegetation at 1% level were used. Analyses show the similarity between two significant methods, so considering of vegetation trend is possible with using both of them. Regarding arid and semiarid of the region, based on similar study, PVI1 vegetation trend is considered as a suitable vegetation in the area of study. Considering significant trend of this vegetation indicates that in Central Plateau of Iran, increasing of significant in vegetation in Qom, Semnan, South Khorasan, Esfahan and Yazd provinces are visible (Values ​​greater than +0.18 for monthly images and numbers greater than +0.606 for annual images). Also, decreasing significant of vegetation was observed in Khorasan-e Razavi, Qom, Esfahan and Yazd provinces (Values ​​less than -0.18 for monthly images and numbers smaller than -0.606 for annual images). Result of this study indicates sensitive and vulnerable regions in Central Plateau of Iran that can be effective in better management of vegetation in the future.