KonstantinosF/Flood-Detection---Satellite-Images
This is a Semester Project which aim is to implement a Deep Learning model in order to detect Flood Events from Satellite Images
This tool helps emergency responders, urban planners, or humanitarian aid organizations quickly identify flooded areas from satellite images. By analyzing optical and Synthetic Aperture Radar (SAR) imagery, it determines if a location is flooded. The output is a clear indication of flood presence, enabling informed decisions for disaster management.
No commits in the last 6 months.
Use this if you need to rapidly assess flood events across broad geographical areas using satellite data to guide disaster response or infrastructure planning.
Not ideal if you require highly localized, real-time flood detection from ground sensors or drone imagery for immediate, on-the-ground tactical operations.
Stars
45
Forks
17
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Sep 26, 2022
Commits (30d)
0
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