SrzStephen/DisaVu
A disaster response solution that helps allocate resources to where they're needed.
This tool helps disaster response teams quickly assess building damage after natural disasters like hurricanes or floods. By inputting satellite images taken before and after a disaster, it generates a map showing which buildings are damaged and to what extent. This allows emergency responders and resource allocators to direct aid to the most affected areas efficiently.
No commits in the last 6 months.
Use this if you need to rapidly understand the scope and location of building damage following a natural disaster to prioritize relief efforts.
Not ideal if you need to assess damage to infrastructure other than buildings, or if you don't have access to high-resolution satellite imagery from before and after an event.
Stars
19
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 14, 2022
Commits (30d)
0
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