ManagementReservoirs
GOODD Dams
GlObal geOreferenced Database of Dams. More than 38,000 dams digitised from satellite imagery.
Dams of all sizes, including many small ones missing from GRanD, each with its upstream catchment boundary.
- Source
- Global Dam Watch
- Resolution
- Points and catchments
- Data type
- Points
- Time span
- Static
- Temporal
- Static
- Access type
- Direct download (external)
- Formats
- Shapefile
- Coverage
- Global (-180, -90, 180, 90)
- Licence
- See provider terms
- Provider page
- www.globaldamwatch.org/goodd
Cite as. Mulligan, M., van Soesbergen, A., Sáenz, L. (2020). GOODD, a global dataset of more than 38,000 georeferenced dams. Scientific Data, 7, 31. https://doi.org/10.1038/s41597-020-0362-5
Access
linkDownload from Global Dam Watch
curl "https://hydrological.org/api/v1/datasets/goodd/links?bbox=-75,-20,-50,5" \
-H "Accept: application/json"import requests
r = requests.get("https://hydrological.org/api/v1/datasets/goodd/links",
params={"bbox": "-75,-20,-50,5"})
for group in r.json()["groups"]:
for link in group["links"]:
print(link["url"])const res = await fetch("https://hydrological.org/api/v1/datasets/goodd/links?bbox=-75,-20,-50,5");
const { groups } = await res.json();
for (const g of groups) g.links.forEach(l => console.log(l.url));Also available as JSON: links · manifest · dataset record
