Spatiotemporal Distribution of Aquaculture Ponds in Typical Coastal Regions of China

This dataset documents the spatiotemporal distribution of aquaculture ponds in typical coastal regions of China from 1984 to 2024. Derived from long-term time-series remote sensing imagery from the Landsat satellite series, the data were processed and extracted using the Google Earth Engine cloud computing platform. The data are provided in GeoTIFF (.tif) format and achieved an overall accuracy (OA) greater than 90% in classification. This dataset is suitable for monitoring dynamic changes in aquaculture ponds over long time series, analyzing driving mechanisms, and evaluating sustainable development strategies.

本数据集记录了1984年至2024年中国典型沿海区域水产养殖塘的时空分布特征。其数据来源于陆地卫星（Landsat）系列的长时间序列遥感影像，并依托谷歌地球引擎（Google Earth Engine）云计算平台完成处理与信息提取。该数据集以GeoTIFF（.tif）格式存储，分类总体精度（Overall Accuracy，OA）超过90%。本数据集适用于长时间序列水产养殖塘动态变化监测、驱动机制分析以及可持续发展策略评估等相关研究。