Forest fire prevention with artificial intelligence

Mar 14, 2024 | #Sustainable | 0 comments

In the current context of drought, it is natural to ask if we can prevent forest fires. The data is alarming: in 2022, Spain tripled the average number of forest fires in the last two decades, with more than 310,000 hectares burned. Furthermore, in the first quarter of 2023, fires had already affected more than 11,000 hectares.

Climate change requires that we adopt new strategies to prevent these catastrophes. The application of predictive models based on artificial intelligence on images obtained by satellite is one of the many tools that improve the prevention of forest fires.

How AI helps us prevent forest fires

The learning capacity of artificial intelligence (AI), together with the potential of images obtained through geospatial information technology, plays a key role in preventing forest fires. This technology allows not only to prevent these catastrophes, but also to help eliminate them through the correct management of available resources.

In the new climate paradigm, with early and arid summers, these tools can be a great ally for institutions and organizations in charge of managing these risks. In a simple and efficient way, fire prediction models can be a crucial element in dealing with these situations.

Fire prediction models with AI

If we focus on wildfire prediction models through artificial intelligence (AI) in coalition with geospatial information technology, we find three main applications:

  • Image-based predictive models: These analyze images provided by satellites or drones to identify patterns and characteristics associated with increased fire risk, such as the presence of dry vegetation or human activity.
  • Predictive models based on historical data: Artificial intelligence (AI) can conduct a study that combines historical data about past fires, along with information about climate or vegetation to identify areas with the highest fire risk.
  • Predictive simulation models: these models simulate how a fire would spread in different climatic and topographic conditions, allowing prevention and extinction teams to plan the most effective strategies.

Geospatial information: ally in early extinction

Fire prediction models based on artificial intelligence (AI) can be very useful. However, fires can arise unexpectedly due to causes such as human activities, lightning, or extreme weather conditions. When this happens, geographic information systems (GIS), such as remote sensing and satellite imagery, can be critical.

Sometimes the severity of fires is the consequence of the need to invest a lot of time in evaluating the best strategy to put out the fire. In these situations, technology allows us to reduce response time. In addition to identifying the best areas to access the source of the fire, protecting human teams. Ultimately, geospatial technology not only improves wildfire prevention, but also protects people and ecosystems.

At Agforest we work with the latest technology in Artificial Intelligence for the prevention of forest fires. If you want to know more, do not hesitate to contact us.

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