A Comprehensive Database of River Obstructions in China

This study combines deep learning and remote sensing imagery to identify various types of artificial river obstructions across different basins in China, including dams, low-head dams, locks, and partial dams. The final dataset includes over 10,000 records of artificial river obstructions, validated through detailed manual visual inspection using Google Maps. Notably, the vector format data currently available on the platform consists of different samples derived from 30% stratified sampling, rather than the entire dataset.本研究结合深度学习与遥感影像技术，对中国不同流域内的各类人工河道阻水构筑物进行识别，涵盖拦河坝、低水头坝、船闸以及局部坝体。最终构建的数据集包含逾10000条人工河道阻水构筑物记录，所有记录均通过谷歌地图（Google Maps）开展详细人工目视检查完成核验。值得注意的是，当前平台可获取的矢量格式数据，仅为通过30%分层抽样得到的子集样本，而非完整数据集。