2022-2024 Dataset of 10-meter Resolution Rice Planting Distribution in the Middle and Lower Reaches of the Yangtze River, China

The Yangtze River Basin is a major rice-producing region in China where accurate and high-resolution rice mapping is essential for food security and sustainable land management. we propose Progressive Deep Learning Crop Mapping (PDLCM), a novel framework that integrates Sentinel-1/2 time-series imagery, spatiotemporal feature fusion, and iterative sample enhancement using both positive and hard negative instances. Based on this approach, we generated the first deep learning–based, 10 m resolution rice distribution maps for the entire Yangtze River Basin (~1 million km²) over three consecutive years (2022–2024). The classified data achieved overall accuracies of 96.81% and an F1 score of 0.88.This study delivers a scalable, transferable solution for operational crop mapping and offers new insights into the spatiotemporal behavior of deep learning models in complex agricultural regions. Classification results: 0: non-rice, 1: rice.The relevant code can be obtained through the following link:https://pan.baidu.com/s/17_CLtikOzTA2De57apNjAw?pwd=H8Yv