Mapping aquaculture ponds, which is critical for restoration and climate adaptation efforts, is labor and time-intensive. Most existing automated techniques are focused only on spatial location and do
The dynamic dataset of spatial distribution of 30 meter resolution aquaculture ponds in coastal areas of China in 2015 reflects the spatial distribution of aquaculture ponds in coastal areas of China
This dataset provides a national-scale, 10 m resolution spatial dataset of artificial aquaculture ponds (AAPs) in China for the years 2015, 2020, and 2025. The dataset was generated using Sentinel-2 i
