What Technology is Used to Predict Wildfires?

Artificial intelligence (AI) is revolutionizing the way that we can predict wildfires. Explore the technology used to predict wildfires with guidance from the WFCA.

Published:May 30, 2023
March 1, 2024

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    Artificial intelligence (AI) is revolutionizing the way that we can predict wildfires. Explore the technology used to predict wildfires with guidance from the WFCA.

    Wildfire detection and monitoring has typically needed a human observer to either scan vast swathes of terrain, or to review live camera footage. This is a significant labor requirement. Additionally, the human eye is limited, especially when looking at different weather or lighting conditions, ground cover, or pixelated footage that may be on a delay from what is actually happening in the area. Technology advancements are improving fire detection and modeling so that wildfires can be caught quickly and brought under control.

    Why We Need Advanced Technology

    Fire seasons are getting longer and wildfires are becoming more intense. Additionally, people, homes, and communities are at greater risk of wildfire damage as the wildland urban interface (WUI) continues to expand. Amid these growing wildfire trends, improving technology to predict and detect wildfires will help save lives. The best way to mitigate wildfire damage is by preventing dangerous blazes in the first place. With advanced assessment tools and data-crunching algorithms, emergency services are working to spot fires faster, and even predict wildfires before they happen.

    Artificial Intelligence to Predict Wildfires

    Disaster management organizations are working to apply artificial intelligence (AI) to historical and current wildfire data. AI has made it easier and faster to process huge amounts of information from sources like thermal imaging cameras, weather data, social media, sensor networks, and smoke detection from cameras and satellites.1 Sensor data is important, but gathering meaning from the data and making decisions is an important part of the process where AI can help.

    AI algorithms can forecast fire behavior based on vast historical and real-time data resources. With information about weather, topography, drought conditions, and other factors, AI can predict the path a wildfire will take.2 There are simulation tools that can process a fire’s magnitude, forecast its progress, and project the wildfire into a virtual reality simulation to assess possible fire suppression tactics.3

    AI is also being used for wildfire prevention, detection, and response management. AI-powered cameras can scan images to detect possible smoke or fire signs better than the human eye.3 As cameras scan for smoke or thermal changes that could indicate a fire, algorithms assess how likely it is that a fire has started. There are possible applications of AI to review campsite heat signatures, look for discarded cigarettes or improperly extinguished campfires, and deliver a map of active campfires. AI could also quantify fire danger levels based on historical data,  referencing the causes of past fires.4

    Additional Technology Used to Help Fight and Manage Wildfires


    Different types of satellite systems are used to spot and track wildfires. These satellites gather information about the location, size, temperature, and duration of fires. They also monitor smoke to help forecast air quality and assist in planning aerial firefighting.5

    Polar orbiting satellites move around the globe quickly at low altitudes (approximately 435 miles/700 kilometers above Earth’s surface) and collect detailed pictures of fire and smoke several times a day. Geostationary satellites orbit Earth higher up in the atmosphere and move at the same rate that the Earth rotates, taking frequent images of a portion of the globe at a fixed longitude. Satellites are also used to map burned areas and assess damage as part of the process of planning for post-fire debris flows and the growing frequency and intensity of wildfires over time.6


    While firefighters sometimes use aircraft to fight wildfires, this tactic is inherently dangerous. Aerial firefighting carries risks of pilot error, mid-air collisions, and crashes. Flights are limited by poor visibility and turbulence from the wildfire’s radiant heat. States are beginning to use drones instead of firefighting planes. These unmanned aerial systems can be piloted remotely, with AI, or with pre-programmed flight software. 2 Firefighting drones can have high definition, infrared, and thermal imaging cameras to spot dangers on the ground, pinpoint resources, and generate terrain maps to help firefighters navigate the area. 7 Drones can also set prescribed burns to slow or redirect the path of a wildfire. 2

    A drone rests in a field. In the distance, smoke rises from a forest. The left & right of the image are blue with interconnected white dots.

    Additional risks of aerial firefighting include:

    • Pilot error: Pilot error is a leading cause of aerial firefighting accidents. Pilots must be highly skilled and experienced to fly in the challenging conditions of a wildfire. However, even the best pilots can make mistakes, and these mistakes can have deadly consequences.
    • Mid-air collisions: Mid-air collisions are another risk for aerial firefighters. Firefighting aircraft often fly in close proximity to each other, which increases the risk of a collision. In addition, wildfires can create dangerous conditions for flying, such as low visibility and turbulence.
    • Crashes: Crashes are the most serious risk of aerial firefighting. In recent years, there have been a number of fatal crashes involving firefighting aircraft. These crashes have claimed the lives of both pilots and firefighters.

    Drones offer a number of advantages over manned aircraft for aerial firefighting. Drones are smaller and more maneuverable than manned aircraft, which makes them better suited for flying in the challenging conditions of a wildfire. They are also less expensive to operate than manned aircraft, and they do not put pilots at risk.

    Most drones are not large enough to materially contribute to fire suppression efforts because of limitations in their payload (retardant is heavy) and range. Currently, these smaller, slower drones cannot easily co-exist in the Temporary Flight Restrictions around a fire because they pose great danger to larger, heavier lead planes and tankers in the airspace, and airspace deconfliction typically does not include consideration for drones around wildfires. Increasingly, advancements in autonomous technology have begun to show up in the form of retrofitting helicopters and airplanes with control systems that allow for remotely-piloted missions; essentially controlling the heavier aircraft remotely, and removing pilots from the dangerous areas. This strategy is similar to the way the military equips helicopters and fighter aircraft with remotely-piloted control systems.

    As drone technology continues to improve, drones are likely to play an increasingly important role in aerial firefighting. Drones can be used to spot fires, assess their size and severity, and drop fire retardant or water on the flames. They can also be used to map the fire’s progress and to help firefighters navigate the area.


    Robots can directly fight fires in ways that would put human lives at risk. They can have heat-sensing cameras or on-board fire suppressants and water, and can carry heavy equipment or help evacuate people without risking firefighter safety.8 They can be designed to navigate steep terrain or enter burning homes. Most current firefighting robots are controlled remotely by firefighters, but there is potential with AI to enable robots to make decisions about firefighting strategies on their own.9

    Internet of Things (IoT) Networks

    The growing interest in devices connected to the Internet of Things (IoT) is based around objects that connect on closed private internet networks and share data with each other. Automated systems gather information from these objects, analyze it, and either help perform a particular task or learn from a process.10

    Organizations are developing IoT systems to give early warning of wildfire activity in remote areas. With a long-range, low-powered, wide-area network of sensors, these devices are always on standby to pass fire detection information to each other. The data moves between each device until it reaches a base station that is connected to the Internet and able to deliver the warning to emergency services, ideally within minutes of detecting the fire. The IoT-networked sensors can cover thousands of square kilometers and are designed to need minimal service.11

    Ground- or forest-based sensors may be destroyed by fire, but IoT systems can also network infrared sensors mounted to autonomous drones. These IoT-connected drones can deliver early warnings of the burn time and temperature of a growing fire.4


    1. World Economic Forum, “How AI can help the world fight wildfires.” Accessed March 14, 2023.
    2. Smithsonian Magazine, “From Supercomputers to Fire-Starting Drones, These Tools Help Fight Wildfires.” Accessed March 13, 2023.
    3. Nasdaq, “How Artificial Intelligence Can Help Detect Wildfires.” Accessed May 15, 2023.
    4. IoT World Today, “IoT’s Role in Wildfire Detection.” Accessed March 16, 2023.
    5. NESDIS, “Earth from Orbit: Tracking Fires from Space.” Accessed May 16, 2023.
    6. NASA, “NASA Covers Wildfires Using Many Sources.” Accessed May 16, 2023.
    7. Discovery, “Wildfire Technology: Tackling the Spread of Wilderness Fires with Digital Tech.” Accessed March 13, 2023.
    8. AI for Good, “Robotics and AI to predict and fight wildfires.” Accessed March 14, 2023.
    9. Scientific American, “Firefighting Robots Go Autonomous.” Accessed March 14, 2023.
    10. WIRED, “What is the Internet of Things? WIRED explains.” Accessed March 16, 2023.
    11. EE Times, “Can IoT Help Catch Wildfires In Time?” Accessed March 15, 2023.

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