Abstract: The Hetao irrigation district has always been an important irrigated agricultural area and green agricultural products base in the Inner Mongolia Autonomous Region even in China. Among those products, the spring wheat is the main food crop of the Hetao irrigation district. Calculating the area, the growth of spring wheat in the Hetao area by remote sensing is essential to master the production accurately and structure adjustment of planting. The method that real-time monitoring data combines with GF-1 satellite image is used to extract spring wheat area and growth information quickly, and the adaptability of this method in monitoring agriculture by remote sensing for Hetao irrigation district was discussed in the paper. Spring wheat area was extracted by GF-1 WFV data on May 18,2017. On the premise of ensuring the spatial distribution of spring wheat, it used NDVI to represent the crop growth situation and used three phases of ground data and remote sensing data to constitute time series of the wheat in the study area. The extraction precision of the area was 93.51% and the Kappa coefficient was 0.805 3. Based on the results of remote sensing quantitative evaluation, the growth of vegetation index was linearly increased with the biomaas in the ground, and made up for the lack of ground artificial visual evaluation. The results showed that the method has good applicability and high promotion value in the Hetao area.