Si Sawat fire, 1 March 2026 ศรีสวัสดิ์ · Si Sawat, Thong Pha Phum
The fire started on 1 March 2026 in Si Sawat, Thailand, and satellites saw it burning for 9 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 5,272 hectares from heat detections, spread across 2 municipalities.
It is the 33th largest in Kanchanaburi Province since 2016 (of 248 with a page). Number 114 in Thailand in 2026, of 689.
The power measured by the satellite is low (26.7 MW in the strongest hotspot), more typical of grass or stubble burning, or a slow surface fire, than of a large crown fire.
Compare with…
- Burnt area
- 5,272ha
- GWIS perimeter (Copernicus)
- Duration
- 9days
- 1 Mar 2026 – 9 Mar 2026
- Municipalities hit
- 2
- districts
- Started on
- 1 Mar
- 2026
- Heat detections
- 146
- in a single hotspot: 27 MW
- Danger at start
- 20
- Moderate · FWI index
- Average daily power
- 58MW
- 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 one day without rain (1 mm or more) when it started. Rain came after the fire: 3.0 mm on 17 Mar.
This area had burned before
76% of the perimeter overlaps earlier fires recorded since 2016: 1,034 ha in 2016, 1,224 ha in 2017, 1,398 ha in 2019, 1,752 ha in 2021, 13 ha in 2022, 11 ha in 2023, 1,837 ha in 2024. Part of it burned more than once, so the yearly figures add up to more than the 4,007 ha that had burned before.
- 708 ha Si Sawat fire, February 2019 10,825 ha in total; the hectares shown are those it shares with this fire
- 593 ha Si Sawat fire, March 2017 1,369 ha in total; the hectares shown are those it shares with this fire
- 41 ha Si Sawat fire, February 2024 1,539 ha in total; the hectares shown are those it shares with this fire
- 5 ha Thong Pha Phum fire, February 2021 6,939 ha in total; the hectares shown are those it shares with this fire
How big is it?
London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).
Bangkok boundary: geoBoundaries · OpenStreetMap, Wambacher · © OpenStreetMap contributors (ODbL 1.0).
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).
This compares size, not location: both shapes are at the same scale, north up, centred on each other.
What happened to each town
-
5,304 ha reached on 1 Mar1.8 %
-
Thong Pha Phum ทองผาภูมิ0 ha0.0 %
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 0.18 hectares of built-up land and almost nobody lived there (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) |
|---|---|---|---|---|---|
| 1 Mar | 32.1 °C | 43 % | 31 km/h | 0.0 mm | Moderate 20 |
| 2 Mar | 32.8 °C | 37 % | 30 km/h | 0.0 mm | High 23 |
| 3 Mar | 32.4 °C | 36 % | 30 km/h | 0.0 mm | High 23 |
| 4 Mar | 32.5 °C | 29 % | 21 km/h | 0.0 mm | High 25 |
| 5 Mar | 31.9 °C | 40 % | 25 km/h | 0.0 mm | High 24 |
| 6 Mar | 29.7 °C | 60 % | 32 km/h | 0.9 mm | Moderate 14 |
| 7 Mar | 30.7 °C | 60 % | 31 km/h | 1.3 mm | Low 9 |
| 8 Mar | 30.7 °C | 51 % | 26 km/h | 0.1 mm | Moderate 15 |
| 9 Mar | 31.3 °C | 47 % | 36 km/h | 0.3 mm | Moderate 21 |
| 10 Mar after | 30.4 °C | 52 % | 45 km/h | 0.0 mm | High 23 |
| 11 Mar after | 31.2 °C | 47 % | 29 km/h | 0.0 mm | Moderate 19 |
| 12 Mar after | 30.9 °C | 48 % | 30 km/h | 0.8 mm | Moderate 18 |
| 13 Mar after | 28.6 °C | 57 % | 42 km/h | 0.8 mm | Moderate 15 |
| 14 Mar after | 30.2 °C | 49 % | 42 km/h | 0.1 mm | High 21 |
| 15 Mar after | 30.3 °C | 50 % | 34 km/h | 0.2 mm | Moderate 20 |
| 16 Mar after | 30.3 °C | 56 % | 26 km/h | 0.4 mm | Moderate 18 |
| 17 Mar after | 31.6 °C | 50 % | 21 km/h | 3.0 mm | Low 6 |
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 5 March 2026 the air beside the fire reached 62 µg/m³ of PM2.5. That day averaged 49: 3.3 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 · 146Every 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 Si Sawat fire last?
- According to the heat detections seen by satellite inside the perimeter, it burned from 1 March 2026 to 9 March 2026 (9 days). The perimeter dates it from 1 March 2026 to 8 March 2026.
- How much area did it burn?
- The perimeter GWIS (Copernicus) rebuilt from heat detections is 5,272 hectares (52.7 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Si Sawat (5,304 ha, 1.8 %); Thong Pha Phum (0 ha, 0.0 %).
- What was the weather like?
- During the fire the temperature reached 32.8 °C, humidity dropped to 29 % and gusts hit 36 km/h. The fire danger index (FWI) reached 25, class High.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Thailand (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.
Emergency number: 199 · 191 · Emergency number and official warnings ›
Satellite cross-check
History of this page · 1 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
- Last day with fire: 8 March 2026 → 9 March 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.
- Dates adjusted with the VIIRS detections inside the perimeter, which said 1 March 2026 to 8 March 2026. 146 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 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)). 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.