Forest conditions and extreme weather are amplifying wildfire risk, says WMO

Hotter weather and drier forests are driving bigger wildfires

Wildfires are increasingly affecting air quality and atmospheric composition across multiple regions as fire seasons lengthen.

The assessment was set out in a statement delivered to the World Economic Forum in Davos on 22 January 2026 by Celeste Saulo, Secretary-General of the World Meteorological Organization (WMO).

Observations coordinated by the WMO show that large fires release substantial amounts of fine particulate matter and trace gases detected by Global Atmosphere Watch stations operated by National Meteorological and Hydrological Services and partners.

These emissions include carbon monoxide (CO) and carbon dioxide (CO₂).

Rising fire emissions are associated with record increases in atmospheric CO₂.

Repeated burning is reducing a forest’s capacity to absorb carbon, linking warming, more fires and poorer air quality in a reinforcing cycle.

The statement expressed concern that the Amazon rainforest could be shifting from a major carbon sink towards a net source of emissions.

In 2024, wildfire smoke from the Amazon river basin combined with fires in Chile to affect many countries and densely populated urban areas across Latin America.

Mexico recorded its most active fire season on record in 2024.

Canada burned more than twice its long-term average in 2024 and experienced its second costliest wildfire in history.

US fire activity in 2024 ran around 20% above the 2001 to 2020 average.

Wildfire activity in 2024 coincided with above-average PM2.5 levels in Canada, Siberia and central Africa, with the largest anomaly recorded in the Amazon basin in the WMO Air Quality and Climate Bulletin.

Copernicus Atmosphere Monitoring Service data indicate that Europe experienced its highest annual total fire emissions since records began in 2003 during 2025, with Canada registering its second-highest yearly emissions in the same period.

Weather, satellites and early warning

Saulo outlined how climate and weather extremes are changing fire behaviour and management needs.

Hotter temperatures, prolonged droughts and more frequent heatwaves are drying vegetation and extending fire seasons.

Stronger and more erratic winds are allowing fires to spread faster and cross natural barriers.

Risk varies by region, particularly where forests meet large populations, making practices such as thinning and prescribed burning central to risk reduction.

In remote areas where fires are often ignited by lightning and ground access is limited, satellite monitoring is central to response.

Real-time and long-term fire detection depends on the rapid exchange of satellite data, which the WMO has supported.

In northern Australia, land managers use a satellite-based fire information system developed with the Bureau of Meteorology to track burned areas across vast and inaccessible terrain and to plan fuel management and resource deployment.

After Cyclone Chido in Mayotte in 2024, meteorological analysis identified that dead vegetation would become highly flammable once dry, allowing fire agencies to adjust preparedness in advance.

Seasonal forecasts now provide probabilistic guidance in places such as Réunion and northern Australia, informing decisions on when to conduct prescribed burns, reduce fuel loads and prepare for more intense firefighting.

In France, Météo-France produces a daily meteorological danger map that is translated into a five-level wildfire risk map for each forest area to guide operational decisions.

Regional smoke forecasting centres operate under the WMO Vegetation Fire and Smoke Pollution Warning and Advisory System, including a North American hub hosted by Environment and Climate Change Canada and a Southeast Asian centre in Singapore, providing cross-border smoke forecasts during severe fire seasons.

Saulo said: “In the next five years, we must stop treating wildfires as surprises and start managing forests as critical infrastructure, using science, early warning, AI and strong partnerships to act early, protect people from smoke and heat, and ensure forests reduce risk rather than fuel the next crisis.”

FireSat satellite captures first wildfire images for global fire monitoring

New satellite shows undetected wildfire in Oregon, says Earth Fire Alliance

Earth Fire Alliance has released the first wildfire images from its FireSat Protoflight satellite, marking the initial demonstration of the satellite’s fire detection capability.

The nonprofit group, in collaboration with Muon Space and Google Research, said the satellite captured images of a small roadside fire in Oregon, United States, that was missed by other existing space-based systems.

According to the Earth Fire Alliance, the FireSat system is designed to detect fires as small as 5 by 5 metres and will scan high-risk regions globally every 20 minutes once fully operational.

The Alliance said the images show how FireSat will help first responders assess fires in early stages, including areas not visible to conventional sensors due to size or weather conditions.

Brian Collins, Executive Director of Earth Fire Alliance, said: “These images represent a turning point in how the world will see and respond to wildfires.

“FireSat is the result of extensive collaboration among engineers, researchers, frontline fire agencies and philanthropies – and it’s built to serve fire agencies around the world.

“Our goal is simple: ensure that every fire, anywhere on Earth, is visible and understood in near real time.”

Detection data includes fires in Canada and Australia

The Alliance said the first set of images includes fire activity from the United States, Canada and Australia, collected in diverse environmental conditions.

In Ontario, Canada, FireSat’s sensors distinguished between ongoing fire activity and areas previously burned during the Nipigon 6 Fire, the Alliance said.

In Australia’s Northern Territory, FireSat detected several concurrent fires and recorded temperature variations across the terrain.

Another image captured fires in remote areas of Alaska, including the Moran and Chicken Fires, showing how FireSat can monitor fire activity where ground-based surveillance is limited.

The Alliance said these examples demonstrate FireSat’s capacity for real-time visibility in locations where access and response times are limited by geography or resources.

Infrared sensors provide detailed tracking through smoke and cloud

FireSat uses advanced multispectral infrared sensors developed by Muon Space.

The sensors were designed in consultation with fire agencies, scientists and modelers to address data requirements for fire perimeter mapping, intensity measurement and movement prediction.

The satellite operates in low Earth orbit and has a 1,500 kilometre observation swath with a 50 metre ground sample resolution, according to Muon Space.

Muon Space CEO Jonny Dyer said: “These first images are a powerful demonstration of what we built FireSat to do.

“We’re seeing clear, actionable detection of wildfire activity across multiple regions, which will provide an invaluable tool for first responders.

“While early detection is important, what’s equally critical is FireSat’s ability to support ongoing fire management by tracking a fire’s progression and behaviour.”

The satellite’s capability to see through smoke and cloud cover enables early detection and continued fire tracking across a range of environmental conditions.

Full FireSat constellation expected by 2030

The FireSat Protoflight was launched in March 2025.

Earth Fire Alliance and Muon Space said three operational FireSat satellites will be deployed in 2026, with a long-term plan for more than 50 satellites to be in orbit by 2030.

FireSat will provide twice-daily global observation once the initial operational capability is reached.

Google Research will use artificial intelligence to analyse FireSat images by comparing them with historical data, local weather, and ground conditions to identify active fires and reduce false positives.

Chris Van Arsdale, Google Research Climate & Energy Lead and Chair of the Earth Fire Alliance Board, said: “Paired with advanced AI, this data will be invaluable for fire authorities and Earth science.

“FireSat’s first wildfire images are precisely what we envisioned when we began this research and partnership.”

The satellite network is expected to assist with predictive fire modelling and improve understanding of fire development under changing climate conditions.

US cost savings and emissions prevention projected

According to Earth Fire Alliance, the FireSat system could deliver measurable benefits in the United States once operational.

Internal projections indicate that a one-hour revisit rate from the satellite could result in an annual saving of over $1 billion in fire damage.

The Alliance estimates that FireSat could help protect 3,500 homes and reduce burned land by 1.3 million acres each year.

It could also prevent the release of 21.9 million tonnes of carbon emissions annually in the United States alone, the Alliance said.

The Early Adopter Programme launched in June 2025 will allow fire agencies and researchers to test and refine FireSat data ahead of full deployment.

The Earth Fire Alliance said this work has been made possible through support from Google, the Gordon and Betty Moore Foundation, the Environmental Defense Fund, and other partners.

FireSat satellite captures first wildfire images for global fire monitoring: Summary

Earth Fire Alliance has released the first wildfire images from the FireSat Protoflight satellite.

The system captured a previously undetected fire in Oregon, USA.

The FireSat satellite is able to detect fires as small as 5 by 5 metres.

Images were also captured from fires in Canada and Australia.

The satellite uses multispectral infrared sensors built by Muon Space.

The system operates in low Earth orbit with a 1,500 km observation swath.

A total of 50 satellites are expected to be operational by 2030.

Google Research will apply AI to compare current and historical images.

The goal is to assist early fire detection and predictive fire modelling.

Projected annual US savings include over $1 billion in damages avoided.

The FireSat Early Adopter Programme began in June 2025.

The programme is supported by philanthropic and research partners.

How satellite data is changing wildfire management

Wildfires have long been a part of natural ecosystems, but in recent years, they’ve become more frequent, more intense, and harder to predict.

Fuelled by climate change and land-use practices, fires now move faster and cover more ground than ever before.

For firefighters, scientists, and communities in fire-prone regions, this has raised the stakes.

Fortunately, satellite data is offering new ways to monitor and respond to these events, which is not with guesswork, but with clarity, precision, and speed.

Today, the ability to find satellite image in real time is nothing new or complicated.

From orbit, satellites capture detailed views of the Earth’s surface, delivering crucial data to people on the ground.

These images help pinpoint where a fire has started, how fast it’s spreading, and which areas are at greatest risk.

The result is faster decisions, smarter evacuations, and often, fewer losses.

Advantages of Satellite Data in Wildfire Management

One of the most important advantages of using satellite data in wildfire management is the ability to see what’s happening in real time across vast and often remote areas.

Whether it’s dense forest in northern Canada or rugged terrain in California, current satellite images provide full coverage when aircraft or drones cannot safely operate.

In fact, agencies like NASA have been using satellites such as MODIS and VIIRS to track wildfires globally, providing near real-time updates that inform both emergency responders and researchers.

In addition to mapping the damage, satellites help detect early signs of fire risk.

By analysing vegetation health and soil moisture, scientists can identify which regions are vulnerable before fires even begin.

That allows for preventive measures such as clearing dry brush or issuing early warnings.

And when fires do break out, satellites continue to track fire fronts, heat signatures, and smoke plumes.

Satellite Imagery Types

Several types of satellite imagery are used in wildfire monitoring and response:

  • Thermal infrared imagery shows heat signatures, which helps detect active fire zones — even at night or through smoke.
  • Optical imagery provides visible views of burn areas, vegetation, and infrastructure.
  • Multispectral data reveals information about vegetation health, land dryness, and post-fire recovery.
  • Synthetic Aperture Radar (SAR) is valuable in smoky or cloudy conditions because it doesn’t rely on sunlight or clear skies.

Each type contributes a different layer of information, and when combined, they paint a full picture of what’s happening on the ground.

EOSDA LandViewer in Wildfires

EOSDA LandViewer is a satellite imagery platform that makes it simple to explore and analyze most current satellite images.

It offers tools like Change Detection and Time Series Analysis along with images from various satellites.

These features allow users to quickly see where fires are occurring, how they are spreading, and what damage they cause.

In 2024, the platform helped monitor some of the most intense wildfires.

In Chile, satellite images showed the destruction in Valparaíso where over 36,000 acres burned, marking the worst wildfire event in recent memory.

In Canada, EOSDA LandViewer made it possible to visualize fires across Alberta and British Columbia while smoke traveled across the continent.

In Mexico, side-by-side images revealed how spring wildfires in Baja California turned lush landscapes into scorched earth.

The platform also documented the April fires in Nebraska, where large areas of the Oglala National Grassland were affected.

Whether you want to study how a fire progresses, compare before and after images of burned areas, or create time-lapse visuals that tell the full story, EOSDA LandViewer provides the tools to clearly understand wildfire impacts and support better decision-making.

How AI Helps Fight Wildfires

Artificial intelligence is helping transform satellite images into insights.

AI models trained on fire behaviour, weather patterns, and fuel load data can analyse current satellite image streams to spot fires in their earliest stages.

These systems can flag unusual heat signatures or rapid vegetation changes, giving fire agencies precious time to respond.

In combination with platforms like EOSDA LandViewer, AI also automates tasks such as classifying land cover, calculating burn severity, or generating daily reports.

What used to take days of manual analysis can now be done in minutes.

As these tools improve, they are being used not only for real-time monitoring but also for forecasting, identifying where the next fire is most likely to happen.

What To Expect in the Future

The future of wildfire management is being shaped by advances in both satellites and AI.

Higher-resolution sensors, more frequent image capture, and access to live satellite images of Earth will allow for near-instantaneous updates in areas of interest.

Instead of relying on a few passes per day, fire teams could eventually have access to minute-by-minute fire front movements.

Platforms like EOSDA LandViewer are also evolving.

Features like 3D terrain modelling, clustering, and web integration with GIS tools make it easier for agencies to plug satellite insights directly into their operational workflows.

As public and commercial satellite networks grow, the overlap between imagery sources will ensure that data is always fresh, even when one satellite is out of range.

In the long term, we’re likely to see wildfire detection become fully automated, from initial spark to evacuation warnings.

And while satellites won’t stop fires from happening, they will continue to change how we respond: faster, smarter, and more effectively.

About the Author: Kateryna Sergieieva

Kateryna Sergieieva has a Ph.D. in information technologies and 15 years of experience in remote sensing.

She is a scientist responsible for developing technologies for satellite monitoring and surface feature change detection.

Kateryna is an author of over 60 scientific publications.