SpaceNetChallenge/SpaceNet8
Algorithmic baseline for SpaceNet 8 Challenge
This project offers tools to rapidly map infrastructure damage and flooding after natural disasters like hurricanes. By inputting satellite imagery from before and after an event, it generates detailed maps showing flooded roads and buildings, and can even predict road speeds. Emergency responders, disaster relief organizations, and urban planners would find this useful for directing resources.
No commits in the last 6 months.
Use this if you need to quickly assess flood damage to infrastructure using satellite imagery to inform disaster response efforts.
Not ideal if you require real-time, on-the-ground damage assessment or do not have access to pre- and post-event satellite data.
Stars
89
Forks
23
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 16, 2023
Commits (30d)
0
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