long term mean of vegetation analysis in Iran using NDVI index

Vegetation is the mirror of climate. So getting information regarding the status of crop such as extent and distribution of it is of great importance. As collecting data about the continuous changes of vegetation is a tedious and hard work and take lots of costs. So in like a condition remote sensing is a very efficient way which provide a good view of a region. The goal of this study is to considering the long term mean of Iran’s vegetation using NDVI index. In this paper, the 16 days data of NDVI data of MODIS Aqua from 1381.4.13 to 1393.12.23 were exploited from MODIS web page and then in the base of 10 billion of codes, the long term mean of 16 days NDVI of Iran during the years was calculated. As the NDVI of above 0.2 represents vegetation the long term mean of vegetation was calculated for each of the 16 days. The findings showed that Iran’s vegetation in the period of December 26th to January 9th is minimum and from April 15th to May 1th is maximum.