Electronic ‘noses’ help sniff out forest fires in Germany


Flames leap into the air in a patch of forest near Jüterbog, Germany. With the help of artificial intelligence, the sensor can tell the difference between a nascent wildfire or, for example, the fumes from a passing diesel truck. — dpa via AP

EBERSWALDE, Germany: Sensors that can sniff out a wildfire minutes after it starts are being trialled in Brandenburg, the German region most hit by forest fires.

In the heart of Eberswalde forest northeast of Berlin, Juergen Mueller coaxed flames out of a fire pit using highly flammable pine branches as kindling.

It doesn't take long before the first wisps of smoke start curling into the air.

The 69-year-old retired forestry expert has come to test a green-and-black device, powered by solar energy, that can detect the gases emitted during the earliest, smouldering phase of a fire.

The devices were created two years ago by the Berlin start-up Dryad Networks, which Mueller co-founded, and come equipped with ultra-sensitive gas sensors developed by German engineering firm Bosch.

Acting like "an electronic nose", Mueller said, the sensors are attached to trees and also monitor temperature, humidity and air pressure.

"In 10, 15 minutes we can detect an incipient fire before it becomes an open fire," he said – faster than traditional surveillance systems.

400 sensors

With the help of artificial intelligence, the sensor can tell the difference between a nascent wildfire or, for example, the fumes from a passing diesel truck.

At his lab in Eberswalde, Mueller also teaches the device to distinguish between different types of wildfires, by exposing it to the smoke from a range of wood shavings.

By doing this, the sensor learns "what the smoke from a pine or beech forest smells like," he said.

As soon as a fire is detected, the data gets relayed to a cloud-based monitoring system and fire authorities are alerted.

Eberswalde forest has been fitted with around 400 sensors, or one device per hectare (2.5 acres), as part of a pilot project with the municipality to test the early-warning system's reliability.

Dryad Networks said 10 countries including the United States, Greece and Spain are already experimenting with the device.

The company sold around 10,000 of the devices last year. By 2030, it aims to have 120 million installed worldwide.

Preventing disaster

Raimund Engel, Brandenburg's forest fire protection officer, sees the sensors as a useful addition to the visual detection method currently used in the state.

From the top of 105 towers, 360-degree rotating cameras scan the surrounding landscape where once human observers kept watch.

At the forest fire centre in Wuensdorf, south of Berlin, Engel closely monitors the images they transmit, and sounds the alarm if he spots danger.

With 521 forest fires recorded in 2022, Brandenburg is Germany's worst affected region.

"Because of climate change" the weather conditions in the forest-rich area are "very similar to some Mediterranean regions", Engel said, "with periods of drought and temperatures that sometimes reach up to 40 degrees Celsius (104 degrees Fahrenheit)."

Super-early intervention is key to preventing wildfires from raging out of control, he said.

"The faster we detect the fire, the quicker firefighters can be on the scene." – AFP

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