We utilized multi-source data and a deep learning model to explore the annual mapping of rice for Northeast China from 1985 to 2023. First, a rice training dataset comprising 155 images was created. Then, we developed the annual result enhancement (ARE) method to diminish the impact of the limited training sample. In comparison to traditional rice mapping methods, the accuracy of results obtained using the ARE method is significantly improved.