Winter wheat is one of the main grain crops in China, and its own area accounts for about 20% of the total sown area of grain crops in China. Compared with the pre-harvest area prediction, the early and accurate prediction of the wheat planting area is an important practical problem related to grain market price, and it is also an important basis for monitoring crop growth in key growth periods, which has become one of the difficulties to be solved in the field of remote sensing. In this paper, winter wheat in Dezhou, Shandong Province is taken as the research object, and the time series Sentinel-2 satellite data is used as the remote sensing data source to study how to quickly and efficiently carry out the early mapping of wheat planting area. On this basis, the remote sensing estimation of winter wheat NDVI growth parameters based on Sentinel-2 satellite data is constructed, and the accuracy verification and spatial inversion are carried out, hoping to provide global information and theoretical support for the decision-making of high yield, high quality and agronomic fertilizer and water prescription of winter wheat. [Objective] Use remote sensing technology to extract the spatial distribution information of winter wheat in Dezhou in 2022 with high precision, and then monitor the growth of winter wheat in key growth periods in 2022. [Methods] Based on time series Sentinel-2 image data, the sown area of winter wheat in Dezhou City in 2022 was extracted by the supervised classification method. After accuracy verification, a mask were generated for the extracted winter wheat planting area in Dezhou City in 2022. NDVI data was constructed for the mask area (winter wheat planting area) combined with Sentinel-2 data, and the growth of winter wheat in key growth periods in 2022 was monitored. At the same time, the NDVI synchronization difference method was used to compare the average value of three years from 2019 to 2021. [Results] (1) The interpretation method in this paper is effective. In 2022, the planting area of winter wheat in Dezhou is 544,100 hm 2 , the overall distribution accuracy of winter wheat planting area is 97.05%, and the kappa coefficient is 0.9410; (2) NDVI simultaneous difference method can reflect the temporal and spatial variation characteristics of winter wheat growth in Dezhou between years and years, and the growth of winter wheat at the jointing stage in 2022 is better than that in previous years. [Conclusion] The method proposed in this paper can extract winter wheat with high precision and monitor the growth of winter wheat in key growth periods, and can provide the scientific basis for local governments or some agricultural departments to arrange and guide farming activities.