Digital twins of Alpine forests redesigned to combat new wildfires

Italian researchers have updated digital models of Alpine forests to better predict and prevent wildfires.

Researchers at the University of Trento have updated digital twins of Alpine forests to better predict and prevent wildfires. The digital models, which were first created in 2019, have been revised to take into account new data on forest fires and vegetation. The updated models will help forest managers and firefighters to better understand the risk of wildfires and make more informed decisions about prevention and response.

The digital twins are simulations of the real-world forests, using data on topography, vegetation, and weather patterns. The models can be used to predict the spread of wildfires and identify areas of high risk. By using the digital twins, forest managers can test different scenarios and strategies for preventing and responding to wildfires, without putting people or the environment at risk.

The updated digital twins will be used to support forest management and firefighting efforts in the Alpine region. The research is part of a larger effort to use digital twin technology to improve forest management and reduce the risk of wildfires in Italy.