Plot-Rice v1.0: A global plot-based rice benchmark dataset with spatiotemporal heterogeneity for scientific deep learning

This dataset (Plot-Rice v1.0) offers a global rice benchmark dataset for scientific deep learning at a 10-meter resolution for the year 2023. Plot-Rice v1.0 is constructed based on Sentinel-1 and Sentinel-2 images, encompassing plot-level rice labels and corresponding multi-source feature time series from 20 countries worldwide. It fully considers the spatiotemporal heterogeneity of rice and supports continuous updates, providing a data benchmark for performance comparisons of deep learning models.本数据集（Plot-Rice v1.0）是一款面向科学级深度学习应用的全球水稻基准数据集，空间分辨率为10米，时间覆盖2023年度。Plot-Rice v1.0基于哨兵1号（Sentinel-1）与哨兵2号（Sentinel-2）遥感影像构建，涵盖全球20个国家的地块级水稻标注信息及其配套多源特征时序数据。该数据集充分考量水稻的时空异质性，且支持持续更新，可为深度学习模型的性能对比提供标准化数据基准。