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NASA ARIA Flood and Damage Proxy Maps
JPL/Caltech InSAR-based damage proxy maps and flood proxy maps from Sentinel-1 and ALOS-2 SAR for earthquake, flood, and volcanic disaster response
aria-share.jpl.nasa.gov
At a glance
- Region
- Global
- Coverage
- Global disaster events, SAR-based rapid response
- Access
- Free
- Category
- Space Agency
What's inside
- InSAR
- Flood Proxy Maps
- Damage Proxy Maps
- SAR Disaster Response
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 Proxy Maps
- 02
Model validation
Check flood models against observed events.
- 03
No-gauge areas
Monitor places with no ground stations.
Because it has: SAR Disaster Response
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.
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