FLODIS: Human displacements, fatalities, and economic damages linked to remotely observed floods
Flood-induced human displacements, fatalities, and economic damages linked to satellite-observed flood footprints from the Global Flood Database for 2000-2018.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2023
What's inside
- Remote Sensing
- Water Infrastructure
- Flood 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
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
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
Segmentation
Map water, crops and land use pixel by pixel with deep learning.
Machine access and documentation
Data paper
FLODIS: Human displacements, fatalities, and economic damages linked to remotely observed floods
Scientific Data 2023
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- Allen Coral AtlasGlobal | Free
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