The reasonable development of tea plantations is of great significance for the local economy and ecological environment protection. Obtaining accurate spatial distribution of tea plantations is an important factor in tea plantations management and land use. This paper takes Lianhua Town, Tong'an District, Xiamen City, Fujian Province as the research area, and takes Sentinel-2 remote sensing image as the data source to analyze the difference of spectral characteristics of multi-temporal Sentinel-2 spectrum in different ground objects. The vegetation indices with sensitive spectrum and texture features were used as the extraction characteristics of tea plantations. The distribution range of tea plantations in the research area was extracted using the random forest classification method. The results showed that the random forest method combined with Sentinel-2 spectral and texture information can achieve good results in many periods. Among them, the overall accuracy and Kappa coefficient in October were the highest, reaching 95.53% and 0.9088, respectively; the classification accuracy in April and December was relatively close, with overall accuracies of 94.28% and 94.41%, and Kappa coefficients of 0.8889 and 0.8881, respectively; the classification accuracy in July was the lowest, with an overall accuracy of 91.05% and a Kappa coefficient of 0.8254. The classification results meet the research needs.
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