A growing number of fire departments across the country are turning to artificial intelligence to help detect and respond to wildfires more quickly. In Aspen, Colorado, fire officials say wildfire risk has shifted from being a seasonal concern to a year-round threat. To meet that challenge, they're using AI-powered cameras to detect smoke -- sometimes before 911 calls even come in. "They're getting a full 360-degree picture of the landscape," said Satyam. High in the mountains, rotating cameras scan the terrain for smoke.

Amid an outbreak of recent wildfires in California, Google announced a commitment to spend 13 million to improve satellite imaging to help track and detect wildfires, starting as early as next year. FireSat, a constellation of more than 50 satellites, will be able to detect wildfires as small as the size of a classroom, about 16 by 16 feet, and the first satellite will launch in early 2025, the media giant announced Monday. Firefighting authorities currently rely on satellite imagery that detects wildfires but only when they reach about the size of a football field, or more than an acre. "We realized that if we can pair satellites with machine learning and artificial intelligence, it was the perfect platform to generate real-time operational intelligence on fires," Christopher Van Arsdale, who leads the Google Research Climate & Energy group and is chairman of the Earth Fire Alliance, said in a video announcement. The initiative is being led by the Earth Fire Alliance, a nonprofit that was launched in May to create FireSat and develop wildfire datasets, with funding from Google and the Gordon and Betty Moore Foundation.

Wildfires pose a serious threat to the environment of the world. The global wildfire season length has increased by 19% and severe wildfires have besieged nations around the world. Every year, forests are burned by wildfires, causing vast amounts of carbon dioxide to be released into the atmosphere, contributing to climate change. There is a need for a system which prevents, detects, and suppresses wildfires. The AI based Wildfire Prevention, Detection and Suppression System (WPDSS) is a novel, fully automated, end to end, AI based solution to effectively predict hotspots and detect wildfires, deploy drones to spray fire retardant, preventing and suppressing wildfires. WPDSS consists of four steps. 1. Preprocessing: WPDSS loads real time satellite data from NASA and meteorological data from NOAA of vegetation, temperature, precipitation, wind, soil moisture, and land cover for prevention. For detection, it loads the real time data of Land Cover, Humidity, Temperature, Vegetation, Burned Area Index, Ozone, and CO2. It uses the process of masking to eliminate not hotspots and not wildfires such as water bodies, and rainfall. 2. Learning: The AI model consists of a random forest classifier, which is trained using a labeled dataset of hotspots and wildfires and not hotspots and not wildfires. 3. Identification of hotspots and wildfires: WPDSS runs the real time data through the model to automatically identify hotspots and wildfires. 4. Drone deployment: The drone flies to the identified hotspot or wildfire location. WPDSS attained a 98.6% accuracy in identifying hotspots and a 98.7% accuracy in detecting wildfires. WPDSS will reduce the impacts of climate change, protect ecosystems and biodiversity, avert huge economic losses, and save human lives. The power of WPDSS developed can be applied to any location globally to prevent and suppress wildfires, reducing climate change.

AI and climate change represent two ways humans may ravage life as we know it on Earth, but the former can also help with the consequences of the latter. The California Department of Forestry and Fire Protection (Cal Fire) revealed a new program today that uses AI to detect wildfires. Created in partnership with the University of California San Diego, the Alert California AI program takes feeds from 1,032 360-degree rotating cameras and uses AI to "identify abnormalities within the camera feeds." It then notifies emergency services and other authorities to check if a potential blaze warrants a response. The program, launched in July, has already quelled at least one potential wildfire, according to Reuters.

At this time of year, periodic rain showers on the north coast of California give way to months of daily sunshine and a wildfire risk that grows in severity until the next fall rains arrive. In Sonoma County, a new set of eyes is watching over the forest. Those eyes will be able to tap into an artificial intelligence program to make sure emergency dispatchers are alerted to actual fires instead of mist rising off the forest floor or steam from the region's numerous natural geysers. The county has entered into a $300,000 contract with South Korea technology firm Alchera to provide artificial intelligence software that can alert fire dispatchers to the precise location of flames or smoke. The two-year pilot project is funded through $3 million in hazard mitigation grants that the Federal Emergency Management Agency awarded to the county.

As climate change-driven wildfires continue to wreak havoc around the world, artificial intelligence, satellites, and drones are emerging as a potential solution to this problem. Despite repeated warnings from the scientific community about the gravity of the issue, our greenhouse gas emissions continue to rise year after year, resulting in deadly heatwaves, devastating wildfires, severe droughts, and powerful hurricanes. While these extreme weather events once used to be few and far between, they've become more frequent and lethal in recent years, a direct consequence of climate change. According to Munich Re, one of the world's leading insurance companies, weather and climate events killed more than 4,000 people worldwide and caused around $42 billion in insured losses in 2019. Wildfires in particular have become increasingly destructive in recent years. An average of 67,000 wildfires per year were recorded over the last 10 years in the United States, burning an average of 7 million acres of land, according to the National Interagency Fire Center (NIFC).