Global Dam Tracker: A database of more than 35,000 dams with location, catchment, and attribute information

Abstract We present one of the most comprehensive geo-referenced global dam databases to date. The Global Dam Tracker (GDAT) contains 35,000 dams with cross-validated geo-coordinates, satellite-derived catchment areas, and detailed attribute information. Combining GDAT with fine-scaled satellite dat...

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Bibliographic Details
Main Authors: Alice Tianbo Zhang, Vincent Xinyi Gu
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02008-2