Snuol fire, December 2025 Kaev Seima, Snuol
The fire started on 31 December 2025 in Snuol, Cambodia, and satellites saw it burning for 13 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 4,589 hectares from heat detections, spread across 2 municipalities.
It is the 28th largest in Kratie since 2016 (of 80 with a page). Number 7 in Cambodia in 2025, of 31.
Compare with…
- Burnt area
- 4,589ha
- GWIS perimeter (Copernicus)
- Duration
- 13days
- 31 Dec 2025 – 12 Jan 2026
- Municipalities hit
- 2
- districts
- Started on
- 31 Dec
- 2025
- Heat detections
- 125
- in a single hotspot: 43 MW
- Danger at start
- 13
- Moderate · FWI index
- Average daily power
- 57MW
- detected power per day, on average
Where it burned
How it evolved, day by day
Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.
The weather it burned in
It had gone 20 days without rain (1 mm or more) when it started.
This area had burned before
69% of the perimeter overlaps earlier fires recorded since 2016: 633 ha in 2017, 1,108 ha in 2018, 975 ha in 2019, 38 ha in 2021, 2,148 ha in 2023, 11 ha in 2025. Part of it burned more than once, so the yearly figures add up to more than the 3,173 ha that had burned before.
How big is it?
London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).
Paris boundary: geoBoundaries · Institut national de l'information géographique et forestière (IGN-F) (Etalab Open License 2.0).
Madrid boundary: geoBoundaries · Open Data ESRI, IGN Central Registry of Cartography Area (CC BY 4.0).
Berlin boundary: geoBoundaries · Federal Agency for Cartography and Geodesy (dl-de/by-2-0).
This compares size, not location: both shapes are at the same scale, north up, centred on each other.
What happened to each town
-
2,546 ha0.9 %
-
Snuol where it started2,071 ha0.7 %
Burnt area inside each municipality, from crossing the GWIS perimeter with administrative boundaries. The distance runs from the point marking the centre of each area to the nearest fire: staying a kilometre away does not mean it reached the houses.
People and buildings inside the perimeter
GHSL 2025Inside the perimeter there were about 0.02 hectares of built-up land and about 50 residents (GHSL 2025, satellite-based estimate).
This is an estimate on 100 m cells, made from satellite imagery and census data: it does not mean that homes burned or that anyone was harmed. The perimeter also contains land that never burned. The GHSL 2025 epoch is a projection made from 2020 and earlier data.
Source: Global Human Settlement Layer (GHS-BUILT-S and GHS-POP R2023A), European Commission Joint Research Centre (JRC), © European Union, CC BY 4.0. Sum inside the perimeter computed by WorldFires. human-settlement.emergency.copernicus.eu
The weather day by day
ECMWF ERA5 reanalysis at the fire location, the standard reference for past weather, and the Canadian Fire Weather Index (the same system Copernicus uses), computed by WorldFires from that data. Days after the fire run until the first rain.
Open-Meteo.com (CC BY 4.0) · Copernicus Climate Change Service (ERA5)
| Day | High | Min. humidity | Peak gust | Rain | Danger (FWI) |
|---|---|---|---|---|---|
| 31 Dec | 30.9 °C | 40 % | 23 km/h | 0.0 mm | Moderate 13 |
| 1 Jan | 31.1 °C | 41 % | 23 km/h | 0.0 mm | Moderate 14 |
| 2 Jan | 30.9 °C | 40 % | 47 km/h | 0.0 mm | Moderate 19 |
| 3 Jan | 29.6 °C | 41 % | 52 km/h | 0.0 mm | Moderate 20 |
| 4 Jan | 32.0 °C | 42 % | 43 km/h | 0.0 mm | Moderate 19 |
| 5 Jan | 32.1 °C | 47 % | 41 km/h | 0.0 mm | Moderate 19 |
| 6 Jan | 31.9 °C | 42 % | 53 km/h | 0.0 mm | High 22 |
| 7 Jan | 30.4 °C | 41 % | 55 km/h | 0.0 mm | High 24 |
| 8 Jan | 29.1 °C | 37 % | 52 km/h | 0.0 mm | High 24 |
| 9 Jan | 29.1 °C | 32 % | 46 km/h | 0.0 mm | High 24 |
| 10 Jan | 30.3 °C | 36 % | 36 km/h | 0.0 mm | Moderate 20 |
| 11 Jan | 31.2 °C | 40 % | 42 km/h | 0.0 mm | High 23 |
| 12 Jan | 32.3 °C | 44 % | 34 km/h | 0.0 mm | Moderate 20 |
| 13 Jan after | 31.7 °C | 42 % | 31 km/h | 0.0 mm | Moderate 20 |
| 14 Jan after | 32.7 °C | 38 % | 20 km/h | 0.0 mm | Moderate 19 |
| 15 Jan after | 33.1 °C | 41 % | 26 km/h | 0.0 mm | Moderate 19 |
| 16 Jan after | 32.7 °C | 41 % | 17 km/h | 0.0 mm | Moderate 19 |
| 17 Jan after | 32.7 °C | 42 % | 23 km/h | 0.0 mm | Moderate 19 |
| 18 Jan after | 31.8 °C | 46 % | 20 km/h | 0.1 mm | Moderate 19 |
| 19 Jan after | 32.9 °C | 37 % | 18 km/h | 0.0 mm | Moderate 18 |
| 20 Jan after | 32.1 °C | 40 % | 22 km/h | 0.0 mm | Moderate 21 |
| 21 Jan after | 32.2 °C | 32 % | 39 km/h | 0.0 mm | High 27 |
| 22 Jan after | 31.8 °C | 38 % | 45 km/h | 0.0 mm | High 28 |
Before and after, from space
Drag the line to compare the same ground before the fire and after it.
If the day is cloudy, change the date: each satellite passes once a day. In false colour the burnt ground looks brown or red.
The smoke
CAMS · CopernicusOn 10 January 2026 the air beside the fire reached 29 µg/m³ of PM2.5. That day averaged 20: 1.4 times the WHO daily guideline (15).
Particles from the Copernicus CAMS model at the centre of the perimeter; these are not measurements in each town. The pale bar is the worst hour, the solid one the daily average.
Open-Meteo.com (CC BY 4.0) · Copernicus Atmosphere Monitoring Service (CAMS)
Detections table · 125Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
Frequently asked questions
- How long did the Snuol fire last?
- GWIS (Copernicus) dates it between 31 December 2025 and 12 January 2026: 13 days between the first and last heat detection of the perimeter.
- How much area did it burn?
- The perimeter GWIS (Copernicus) rebuilt from heat detections is 4,589 hectares (45.9 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Kaev Seima (2,546 ha, 0.9 %); Snuol (2,071 ha, 0.7 %).
- What was the weather like?
- During the fire the temperature reached 32.3 °C, humidity dropped to 32 % and gusts hit 55 km/h. The fire danger index (FWI) reached 24, class High.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Cambodia (geoBoundaries). It is not an official report.
Where to verify it
A satellite detection is not an official report. Final figures and the fire’s status are published by each country’s emergency service.
Satellite cross-check
History of this page Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
No changes since 24 October 2026.
Does something look wrong on this page?
This page is built from satellite data and official records, and it sometimes gets things wrong: the wrong dates, the wrong town, two fires merged into one, or something that was not a wildfire at all. If you know this fire first-hand (you live nearby, saw it, fought it or reported on it), tell us what really happened and we will check it.
Report an error
How we know this
- Perimeter: GWIS (Copernicus), rebuilt from heat detections rather than mapped on imagery; 2 polygons grouped in this page.
- Dates from the perimeter: the VIIRS detections inside it did not change them. 125 Suomi-NPP VIIRS detections on those dates.
- We have not matched this page with any official record.
- Weather: Copernicus ERA5 reanalysis at the fire location, in cells of about 25 km.
- Built-up area and population come from the JRC Global Human Settlement Layer (epoch 2025, 100 m cells), summed inside the perimeter: an estimate of what was there, not a damage count.
Where this data comes from
The perimeter comes from the Copernicus Global Wildfire Information System (GWIS), which rebuilds it from MODIS and VIIRS heat detections and publishes it under CC BY 4.0. It is not measured on imagery as in Europe, so it is an estimate. Heat detections come from the VIIRS sensors aboard Suomi-NPP and NOAA-20, distributed by NASA FIRMS at 375 m resolution. Municipal boundaries come from geoBoundaries ADM2 (Creative Commons Attribution 4.0 International (CC BY 4.0)). The area per municipality is computed by WorldFires by crossing the perimeter with those boundaries, so it may differ from each country’s official figure.