Ahead of #OpenDataHack2018 @CopernicusECMWF, submit and discuss your ideas with other OpenDataHackers and get a team ready to hack on 9-10 June 2018 at ECMWF!
Problem
Satellites can detect wildfires and the smoke plumes they create. Is it possible to use this to predict how dangerous a wildfire is or might become?
Proposed solution
I propose to compare wildfire data with local winds, population density, soil moisture, precipitation, etc to create an index of how dangerous a wild fire is or might become. This could include the use of machine-learning.
Data (what data do you need? what format?)
CAMS Global Fire Monitoring data, ERA5 winds / precipitation / soil moisture, population density, ....
Team
Leon Hermanson - role: scientist / programmer
You?
Is your team incomplete and you need extra help? If so, please list below the roles needed:
Problem Satellites can detect wildfires and the smoke plumes they create. Is it possible to use this to predict how dangerous a wildfire is or might become?
Proposed solution I propose to compare wildfire data with local winds, population density, soil moisture, precipitation, etc to create an index of how dangerous a wild fire is or might become. This could include the use of machine-learning.
Data (what data do you need? what format?) CAMS Global Fire Monitoring data, ERA5 winds / precipitation / soil moisture, population density, ....
Team
Is your team incomplete and you need extra help? If so, please list below the roles needed: