Flood Prediction Dataset (Mendeley Data)
Tabular flood-occurrence and severity dataset with environmental and human-influence features (monsoon intensity, topography and drainage, river management, deforestation, urbanization, climate change effects, dam quality) for flood risk modeling.
data.mendeley.com
At a glance
- Region
- Global
- Coverage
- Flood-driver feature set
- Access
- Free
- Category
- Research
- Last updated
- 2025
What's inside
- Flood risk factors
- Precipitation
- Land use
Terms explained
What you can do with it
Typical work that data of this type supports.
- 01
Design storms
Build rainfall intensity-duration-frequency curves for drainage design.
Because it has: Precipitation
- 02
Model input
Drive hydrological, crop and urban drainage models.
- 03
Hazard maps
Map flood-prone areas and who and what is exposed.
Because it has: Flood risk factors
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Downscaling
Turn coarse rainfall grids into field or ward scale estimates.
- 02
Gauge + satellite fusion
Correct satellite rainfall with gauges using machine learning.
- 03
Flood extent from SAR
Segment flooded areas in radar imagery, even through cloud.
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