[Objective] To identify and quantify the drought during crop growing season in Midwest of Jilin Province and analyze drought hazard in order to provide scientific reference for drought mitigation.[Methods] Based on the meteorological data from May to August during 2005 to 2014 and the corresponding MODIS NDVI products that was combined every ten days and have 500 m resolution, SVDI(spatial vegetation drought index) was calculated to analyze SVDI spatial and temporal distribution characteristics. The index applicability was illustrated in terms of drought-induced agricultural production decrease and yield anomaly. Furthermore, the density distribution of ten-day SVDI from May to August was calculate to demonstrate drought hazard.[Results] (1) Compared with VCI, SVDI behave better for drought recognition. Combined with agricultural drought production and yield anomaly, SVDI showed higher correlation in the initial and final growth period of crop growing season. (2) During 2005-2014, the area hited by severe drought from May to August in Midwest of Jilin Province fluctuated obviously, and had a transiting trend to central and southwest parts. (3) In Midwest of Jilin Province, drought occurrence had higher probability in periods of early and late May, June, and late August, whereas, in early August and late June, the drought hazard are higher. Tongyu County has high drought hazard from May to August so that it should be taken as a key county to be protected.[Conclusion] The results showed that using SVDI to identify and quantify drought is feasible, also drought frequency during crop growing season in Midwest of Jilin Province shows obvious regional traits.