GOODD: A global dataset of more than 38,000 georeferenced dams
38,000+ georeferenced dams and their catchments digitized from satellite imagery (Landsat, IKONOS, SPOT), enabling global analyses of dam impacts on society and environment.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2020
What's inside
- Remote Sensing
- Water Infrastructure
- Catchment Data
What you can do with it
Typical work that data of this type supports.
- 01
Design flows
Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.
Because it has: Catchment Data
- 02
Low flows
Set environmental flows and check what is left in the river in a dry year.
- 03
No-gauge areas
Monitor places with no ground stations.
Because it has: Remote Sensing
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Flow forecasting
Train LSTM-style models on past records to forecast river levels and flow days ahead.
- 02
Ungauged basins
Combine with catchment data to estimate flow where there is no gauge.
- 03
Segmentation
Map water, crops and land use pixel by pixel with deep learning.
Machine access and documentation
Data paper
GOODD: A global dataset of more than 38,000 georeferenced dams
Scientific Data 2020
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