Winter wheat growth uniformity is important for the yield and grain quality evaluation of field. The traditional investigation of crop uniformity is mainly depends on manpower in China. Remote sensing technique is a potentially useful tool for monitoring the crop uniformity status during the crop growth season. The objective of this study was to evaluate the winter wheat growth uniformity for the winter wheat fields through multi-temporal remote sensing imagery.Three Landsat5 TM images at winter wheat tillering stage, jointing stage and milk stage were collected and processed. The NDVI (normalized difference vegetation index) decision tree was used to extract the winter wheat field for all images. Then, combined the winter wheat field vector information, the CV (coefficient of variation) of NDVI for each fields are calculated. A new index GUNI (growth uniformity normalized index) based on the NDVI CV was introduced to evaluate the uniformity of winter wheat growth for different growth stages. The uniformity variation maps were conducted to show the winter wheat growth uniformity changes for all fields between different growth seasons. The study results indicated that the winter wheat growth uniformity at jointing stage was more obviously than that of at tillering stage and milk stage. Fields where the GUNI value higher in tillering stage will grow better than others field in jointing stage and milk stage. It can be seen that remote sensing data was feasible to investigate the crop growth and GUNI can indicate the growth uniformity of fields well.