Abstract: In order to explore a fast,real-time,accurate and more cost-effective monitoring method for tobacco area and yield,Mang City,Dehong Dai Jingpo Autonomous Prefecture,Yunnan Province was selected as the study area,and Sentinel-2 multispectral data was used as the data source to analyze the spectral characteristics and vegetation index and red edge index of tobacco,woodland,water bodies and other features in Mangshi,Dehong Dai Jingpo Autonomous Prefecture,Yunnan Province,in March 2020.The objectoriented method was applied to accurately extract information on flue-cured tobacco planting area,and the extracted tobacco area was 3 873.34 ha.The accuracy evaluation results showed that the overall accuracy of extraction reached 94.38%,and the Kappa coefficient was 0.93,which could meet the actual needs of tobacco production management.It is concluded that the combination of Sentinel-2 multispectral images as the data source and the object-oriented approach can effectively realize the accurate extraction of tobacco planting information,and then provide data support for tobacco production management within the county.