NONE

1. OverviewThe Global_Extent_of_Human_Regulated_Water_Bodies.shp (GHRW) dataset provides a comprehensive global inventory of human-regulated water bodies (HRWs), identified using remote sensing and deep learning techniques. The dataset includes 1.1 million HRWs, ranging in size from 0.001 km², with a complete record for HRWs larger than 0.1 km². 2. Production MethodologyThe dataset was produced through a multi-step process involving the identification, classification, and validation of water bodies using the Joint Research Centre Global Surface Water (GSW) dataset, Sentinel-2 imagery, and a deep learning classification model (EfficientNet_V2_S). The GSW dataset was utilized to extract water bodies larger than 0.001 km², and Sentinel-2 cloud-free composite images were used to classify these water bodies into human-regulated or natural categories. The deep learning model was trained with manually labeled HRWs and natural water bodies, followed by iterative refinement using a human-in-the-loop approach. 3. Attribute DescriptionsThe dataset consists of the following attributes: area_km2: This attribute represents the area of each water body in square kilometers (km²). It was calculated from the GSW maximum extent layer and other data sources. source: In cases where the developed product overlapped with datasets from CRD, GOODD, or GeoDAR, we prioritized the sources in the following order: CRD, followed by GeoDAR, and finally GOODD. Specifically, if an overlap occurred between the developed product and any of these datasets, we retained the source data from CRD as the highest priority. If CRD data was not available, we used data from GeoDAR, with GOODD being used as the last option. 'Hao et al. 2024': Data directly derived and classified using the methodologies described in Hao et al. 'GeoDAR v1.1': HRWs identified from the GeoDAR v1.1 dataset. 'GOODD': HRWs identified from the GOODD dataset. 'CRD': HRWs identified from the CRD dataset. lon: Longitude coordinate of the centroid of the water body. lat: Latitude coordinate of the centroid of the water body. Reference: Hao, Z. (2024). Global_Extent_of_Human_Regulated_Water_Bodies (GHRW) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13369411 Song, C., Fan, C., Zhu, J., Wang, J., Sheng, Y., Liu, K., ... & Ke, L. (2022). A comprehensive geospatial database of nearly 100 000 reservoirs in China. Earth System Science Data, 14(9), 4017-4034. Wang, J., Walter, B. A., Yao, F., Song, C., Ding, M., Maroof, A. S., ... & Wada, Y. (2021). GeoDAR: Georeferenced global dam and reservoir dataset for bridging attributes and geolocations. Earth System Science Data Discussions, 2021, 1-52. Mulligan, M., van Soesbergen, A., & Sáenz, L. (2020). GOODD, a global dataset of more than 38,000 georeferenced dams. Scientific Data, 7(1), 31.