🔥🔥🔥 Chilean Fires Analysis 🔥🔥🔥

  Objective
  
Visualize wildfires and estimate areas with the highest likelihood of fires in Chile.

In this project I analyze data from NASA's FIRMS to understand which places have the most likelihood to catch on fire.

Project Progression

What's already Done

• Generate clusters of fires grouped by time.

great-fire2017.webm

• Generate MBR out of clusters.

• Measure intersection of MBR of fire clusters in time.

• Backend to serve the Chilean Fires Dashboard -> incendioschile.online

• More data sources added from 2 more satellites.

• Updated UI with the new version with Tailwind.

  

TODO

• Understand how climate variables (from Meteochile) affect the number of fires.
• Build a forecasting model for the number of fires based on climate variables.
• Get areas with the most likelihood of fire.
• Plot areas with the highest likelihood of fires in the Dashboard.

TechStack

• Python 3.10
• Django
• PostgreSQL
• Conda
• React

Contributing

1. Fork it (https://github.com/sebastiantare/chileanfires/fork)
2. Create your feature branch (git checkout -b feature/newFeature)
3. Commit your changes (git commit -am 'Fixed new feature')
4. Push to the branch (git push origin feature/newFeature)
5. Create a new Pull Request