World Wildlife Fund (WWF)

Developed a wildfire prediction system in collaboration with WWF to anticipate wildfire in Bolivian forests through a new fuel model based on geo data

Challenge

• Bolivian forests are at a high risk of wildfire
• Wildfire prediction system needed to anticipate how a fire might start and where it will spread

Solution

• Used publicly available data such as weather, climate, past fires, and geo data to model the wildfire spread starting at a certain point in time
• Created a new fuel model for Bolivia by transferring knowledge from available US data

Business impact

• A complete fuel model for the Bolivian territory is now available
• Applications created enable visualisation of past fires
• Discovered main pain points of ML with geo data and established a clear plan on how to tackle them and speed up future use cases