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

Zhang, Alice Tianbo; Gu, Vincent Xinyi

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Zhang, Alice Tianbo</dc:creator>
  <dc:creator>Gu, Vincent Xinyi</dc:creator>

Zhang, Alice Tianbo, and Vincent Xinyi Gu. 2023. “Global Dam Tracker: A Database of More than 35,000 Dams with Location, Catchment, and Attribute Information.” Scientific Data 10 (1): 111.



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 data spanning three decades, we demonstrate how GDAT improves upon existing databases to enable the inter-temporal analysis of the costs and benefits of dam construction on a global scale. Our findings show that over the past three decades, dams have contributed to a dramatic increase in global surface water coverage, especially in developing countries in Asia and South America. This is an important step toward a more systematic understanding of the worldwide impact of dams on local communities. By filling in the data gap, GDAT would help inform a more sustainable and equitable approach to energy access and economic development.</dc:description>
  <dc:source>Scientific Data 10(1) 111</dc:source>
  <dc:subject>Global Dam Tracker (GDAT)</dc:subject>
  <dc:subject>Energy Policy</dc:subject>
  <dc:title>Global Dam Tracker: A database of more than 35,000 dams with location, catchment, and attribute information</dc:title>
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