Articles | Volume 14, issue 4
Earth Syst. Sci. Data, 14, 1869–1899, 2022
https://doi.org/10.5194/essd-14-1869-2022
Earth Syst. Sci. Data, 14, 1869–1899, 2022
https://doi.org/10.5194/essd-14-1869-2022
Data description paper
21 Apr 2022
Data description paper | 21 Apr 2022

GeoDAR: georeferenced global dams and reservoirs dataset for bridging attributes and geolocations

Jida Wang et al.

Data sets

Georeferenced global Dams And Reservoirs (GeoDAR) dataset Jida Wang, Blake A. Walter, Fangfang Yao, Chunqiao Song, Meng Ding, Abu S. Maroof, Jingying Zhu, Chenyu Fan, Jordan M. McAlister, Md Safat Sikder, Yongwei Sheng, George H. Allen, Jean-François Crétaux, and Yoshihide Wada https://doi.org/10.5281/zenodo.6163413

Download
Short summary
Improved water infrastructure data on dams and reservoirs remain to be critical to hydrologic modeling, energy planning, and environmental conservation. We present a new global dataset, GeoDAR, that includes nearly 25 000 georeferenced dam points and their associated reservoir boundaries. A majority of these features can be linked to the register of the International Commission on Large Dams, extending the potential of registered attribute information for spatially explicit applications.