Wang Chao fire, 20 March 2026 วังเจ้า · Khlong Lan, Kosamphi Nakhon, Wang Chao
The fire started on 20 March 2026 in Wang Chao, Thailand, and satellites saw it burning for 33 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 50,877 hectares from heat detections, spread across 4 municipalities.
It is the largest fire in Tak Province since 2016 (of 329 with a page). Number 8 in Thailand in 2026, of 689.
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- Burnt area
- 50,877ha
- GWIS perimeter (Copernicus)
- Duration
- 33days
- 20 Mar 2026 – 21 Apr 2026
- Municipalities hit
- 4
- districts
- Started on
- 20 Mar
- 2026
- Heat detections
- 1,352
- in a single hotspot: 75 MW
- Danger at start
- 11
- Low · FWI index
- Average daily power
- 155MW
- 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 3 days without rain (1 mm or more) when it started. Rain came after the fire: 11.9 mm on 25 Apr.
This area had burned before
82% of the perimeter overlaps earlier fires recorded since 2016: 8,887 ha in 2016, 6,256 ha in 2017, 892 ha in 2018, 15,433 ha in 2019, 17,328 ha in 2020, 8,872 ha in 2021, 592 ha in 2022, 25,821 ha in 2023, 15,667 ha in 2024, 4,346 ha in 2025. Part of it burned more than once, so the yearly figures add up to more than the 41,803 ha that had burned before.
- 3,775 ha Khlong Lan fire, March 2024 4,483 ha in total; the hectares shown are those it shares with this fire
- 2,654 ha Kosamphi Nakhon fire, March 2023 3,623 ha in total; the hectares shown are those it shares with this fire
- 2,456 ha Khlong Lan fire, March 2024 2,922 ha in total; the hectares shown are those it shares with this fire
- 2,315 ha Khlong Lan fire, April 2023 2,552 ha in total; the hectares shown are those it shares with this fire
- 2,210 ha Khlong Lan fire, March 2017 2,143 ha in total; the hectares shown are those it shares with this fire
- 1,626 ha Khlong Lan fire, January 2020 2,481 ha in total; the hectares shown are those it shares with this fire
- 1,478 ha Khlong Lan fire, April 2024 1,548 ha in total; the hectares shown are those it shares with this fire
- 1,348 ha Khlong Lan fire, March 2023 1,316 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
-
Khlong Lan คลองลาน35,653 ha24 %
-
Kosamphi Nakhon โกสัมพีนคร9,801 ha18 %
-
5,705 ha7.8 %
-
Phop Phra พบพระ7 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 19 hectares of built-up land and about 1,700 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) |
|---|---|---|---|---|---|
| 17 Mar | 30.0 °C | 46 % | 26 km/h | 1.1 mm | Low 11 |
| 18 Mar | 31.9 °C | 34 % | 17 km/h | 0.1 mm | Moderate 15 |
| 19 Mar | 32.3 °C | 37 % | 17 km/h | 0.0 mm | Moderate 16 |
| 20 Mar | 33.2 °C | 36 % | 22 km/h | 0.0 mm | Moderate 17 |
| 21 Mar | 32.7 °C | 42 % | 23 km/h | 0.2 mm | Moderate 18 |
| 22 Mar | 33.7 °C | 36 % | 17 km/h | 0.0 mm | Moderate 19 |
| 23 Mar | 33.1 °C | 38 % | 28 km/h | 0.0 mm | High 22 |
| 24 Mar | 32.5 °C | 40 % | 20 km/h | 0.0 mm | Moderate 20 |
| 25 Mar | 33.8 °C | 37 % | 22 km/h | 0.0 mm | Moderate 20 |
| 26 Mar | 34.5 °C | 36 % | 21 km/h | 0.0 mm | Moderate 21 |
| 27 Mar | 35.2 °C | 31 % | 25 km/h | 0.1 mm | High 24 |
| 28 Mar | 34.9 °C | 29 % | 23 km/h | 0.0 mm | High 25 |
| 29 Mar | 34.0 °C | 35 % | 27 km/h | 0.0 mm | High 27 |
| 30 Mar | 33.6 °C | 36 % | 22 km/h | 0.2 mm | High 25 |
| 31 Mar | 34.0 °C | 29 % | 21 km/h | 0.1 mm | High 27 |
| 1 Apr | 35.1 °C | 26 % | 22 km/h | 0.0 mm | High 28 |
| 2 Apr | 34.1 °C | 34 % | 24 km/h | 0.1 mm | High 29 |
| 3 Apr | 34.6 °C | 33 % | 24 km/h | 0.0 mm | High 30 |
| 4 Apr | 34.0 °C | 35 % | 25 km/h | 0.0 mm | High 29 |
| 5 Apr | 34.2 °C | 34 % | 27 km/h | 0.0 mm | High 31 |
| 6 Apr | 34.4 °C | 35 % | 28 km/h | 0.0 mm | High 31 |
| 7 Apr | 35.7 °C | 29 % | 30 km/h | 0.0 mm | High 32 |
| 8 Apr | 35.1 °C | 29 % | 30 km/h | 0.1 mm | High 34 |
| 9 Apr | 34.8 °C | 29 % | 33 km/h | 0.0 mm | High 37 |
| 10 Apr | 35.3 °C | 29 % | 32 km/h | 0.0 mm | High 36 |
| 11 Apr | 36.2 °C | 24 % | 29 km/h | 0.0 mm | High 36 |
| 12 Apr | 35.0 °C | 29 % | 27 km/h | 0.0 mm | High 36 |
| 13 Apr | 34.6 °C | 35 % | 26 km/h | 0.0 mm | High 32 |
| 14 Apr | 35.2 °C | 33 % | 22 km/h | 0.0 mm | High 32 |
| 15 Apr | 36.4 °C | 25 % | 32 km/h | 0.0 mm | Very high 39 |
| 16 Apr | 36.0 °C | 25 % | 23 km/h | 0.0 mm | High 34 |
| 17 Apr | 36.4 °C | 22 % | 23 km/h | 0.0 mm | High 36 |
| 18 Apr | 36.4 °C | 22 % | 25 km/h | 0.0 mm | High 36 |
| 19 Apr | 35.3 °C | 28 % | 25 km/h | 0.0 mm | Very high 39 |
| 20 Apr | 36.6 °C | 24 % | 30 km/h | 0.0 mm | Very high 40 |
| 21 Apr | 35.8 °C | 28 % | 23 km/h | 0.1 mm | High 38 |
| 22 Apr after | 36.0 °C | 35 % | 25 km/h | 0.0 mm | High 34 |
| 23 Apr after | 36.1 °C | 36 % | 41 km/h | 0.4 mm | Very high 39 |
| 24 Apr after | 35.5 °C | 40 % | 25 km/h | 0.0 mm | High 32 |
| 25 Apr after | 31.4 °C | 56 % | 37 km/h | 11.9 mm | Very low 5 |
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 11 April 2026 the air beside the fire reached 99 µg/m³ of PM2.5. That day averaged 67: 4.5 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 · 1,352Every 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 Wang Chao fire last?
- GWIS (Copernicus) dates it between 20 March 2026 and 21 April 2026: 33 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 50,877 hectares (508.8 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 4 municipalities: Khlong Lan (35,653 ha, 24 %); Kosamphi Nakhon (9,801 ha, 18 %); Wang Chao (5,705 ha, 7.8 %); Phop Phra (7 ha, 0.0 %).
- What was the weather like?
- During the fire the temperature reached 36.6 °C, humidity dropped to 22 % and gusts hit 33 km/h. The fire danger index (FWI) reached 40, class Very 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 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; 11 polygons grouped in this page.
- Dates from the perimeter: the VIIRS detections inside it did not change them. 1,352 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.