Spatiotemporal Distribution of Aquaculture Ponds in Typical Coastal Regions of China

Description

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.

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Funders

• National Center for Research and Development

  Jordan

  Grant ID: 2021YFB3901304

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