Research on change of vegetation index and response to climate in Yili River Valley based on MODIS data

Based on MODIS remote sensing data of the main growing season (5-9 months) from 2006 to 2014, through to the remote sensing data preprocessing, local projection, the biggest synthesis, synthesis of the Yili river valley in 2006-2014 NDVI value, analyzes the average and more years growing season NDVI change rule. At the same time, the main climatic factors of Yili River Valley were collected and analyzed. The results show that the NDVI is influenced by average temperatures during the month, the largest passed 0.01 significance test, and the relationship with sliding average temperature is very small; Average NDVI and monthly precipitation and the correlation of moving average precipitation are good, reach the significance test of 0.05 above, but 3 months moving average precipitation had the greatest influence on NDVI, and passed the extremely significance test of 0.01.