Wildfire Risk Mapping and Logistics Planning Project

about
Wildfires are a global problem that requires global cooperation from all stakeholders, including governments, corporations, academics, and non-governmental organizations (NGOs).
Problem
  • Climate change has increased the intensity, span, and frequency of wildfires everywhere across the globe. Scientific evidence predicts that this problem will be amplified if immediate action is not taken.
  • The most crucial part of wildfire fighting is detecting and addressing the resources immediately before the fire spreads to a large area. Many factors are considered while assessing the risk of fire escalation; therefore, AI helps to analyze the problem to predict at-risk locations and the best possible strategy to extinguish the fire.
Action
  • Predict possible wildfire locations before fire blazes out by generating a wildfire risk map according to seasonal variables.
  • Optimize fire resource allocation by connecting multiple data sources and the wildfire risk map
  • React swiftly in case of fire emergency using pre-optimized resources and wildfire risk maps

A dynamic wildfire risk map that grades the probability of forest fire occurrence according to seasonal variables

Optimal resource allocation by connecting multiple data sources and the wildfire risk map

The strongest first response proposal using pre-optimized resources and maps in the case of a forest fire