Abstarct: Remote sensing measurements are very useful techniques that can be used to obtain useful information from soil and vegetation. MODIS Products are very suitable for wide range measurements, long-term monitoring, and high-resolution and drought assessments and monitoring. The TVDI index, which is baxsed on vegetation index data (NDVI) and surface temperature (Ts), can effectively show spatial and temporal distribution of dryness. In this research, dryness index (TVDI) was calculated for drought evaluation in Mashhad plain (northeastern Iran) for 10 years (2003-2013 from mod 13a2& mod 11A2). The results showed that in the central, eastern and southeastern parts of the plain, which has a height of 850 to 1350 m, the dryness intensity and variation coefficient of TVDI are more than other parts. While the highlands (1350-3250 m) of study area have the lowest value of the TVDI index and experiences a sustained trend over a period of ten years. In order to justify drought stress, daily precipitation data of 42 weather stations were selected and the intensity of correlation of these two variables was investigated using Pearson correlation test. The nature of the vegetation response to delayed precipitation is proved, so the Pearson linear correlation results between the TVDI drought index and cumulative rainfall during the image period as 16, 32, 48 and 64 days before the year showed that the highest correlation intensity was related to: winter period in the image period with average intensity of -0.590, spring season with a delay of 16 days from rainfall with average intensity of -0. 427, autumn season in the image period with intensity of -0.370 and the summer season with a 64 days delay of rainfall of -0.261 magnitudes. baxsed on the linear regression relationship, TVDI changes in areas less than 1350 meters in height, the rainfall rate has a greater impact on TVDI, while in areas with high altitudes, this plain, rainfall in linear equation cannot determine the TVDI strongly.