 In this study, we developed a deep learning-based method to generate accurate maize krapland maps at a resolution of 30 meters in the one, seasoned planting areas of China. The results were highly consistent with the data recorded by statistical yebooks, indicating that the produced maps are reliable for research on food and energy security. This article was authored by Qi Xin, Licheng Zhong, Yunchu, and others.