Human alterations of the global floodplains 1992-2019
First global dataset quantifying human alterations in 15 million km² of floodplains along 520 major river basins at 250 m resolution, revealing ~600,000 km² of floodplain loss.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2023
What's inside
- Flood Data
- River Data
What you can do with it
Typical work that data of this type supports.
- 01
Hazard maps
Map flood-prone areas and who and what is exposed.
Because it has: Flood Data
- 02
Model validation
Check flood models against observed events.
- 03
Response planning
Support evacuation, relief and insurance decisions.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Flood extent from SAR
Segment flooded areas in radar imagery, even through cloud.
- 02
Depth estimates
Learn flood depth from terrain, rainfall and past events.
- 03
Early warning
Turn forecast ensembles into simple, local alerts.
Machine access and documentation
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