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Mae Suai fire, 28 March 2026 แม่สรวย · Mae Suai, Fang, Chai Prakan

Out · last detection 17 Apr 2026, 07:16 UTC

The fire started on 28 March 2026 in Mae Suai, Thailand, and satellites saw it burning for 20 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 14,912 hectares from heat detections, spread across 4 municipalities.

It is the 5th largest in Chiang Rai Province since 2016 (of 272 with a page). Number 41 in Thailand in 2026, of 811.

Compare with…
Burnt area
14,912ha
GWIS perimeter (Copernicus)
Duration
20days
28 Mar 2026 – 16 Apr 2026
Municipalities hit
4
districts
Started on
28 Mar
2026
Heat detections
378
in a single hotspot: 47 MW
Danger at start
18
Moderate · FWI index
Average daily power
68MW
detected power per day, on average

Where it burned

17 Apr 2026
HOTSPOTS BY DAY 28 Mar16 Apr

How it evolved, day by day

28 Mar 2026 · 11 MW · 7 29 Mar 2026 · 152 MW · 37 30 Mar 2026 · 70 MW · 29 31 Mar 2026 · 51 MW · 14 1 Apr 2026 · 38 MW · 6 2 Apr 2026 · 103 MW · 32 3 Apr 2026 · 176 MW · 36 4 Apr 2026 · 34 MW · 11 5 Apr 2026 · 33 MW · 7 6 Apr 2026 · 2 MW · 1 7 Apr 2026 · 49 MW · 11 8 Apr 2026 · 161 MW · 40 9 Apr 2026 · 100 MW · 38 10 Apr 2026 · 32 MW · 8 11 Apr 2026 · 59 MW · 22 12 Apr 2026 · 130 MW · 23 13 Apr 2026 · 64 MW · 17 14 Apr 2026 · 29 MW · 14 15 Apr 2026 · 45 MW · 9 17 Apr 2026 · 21 MW · 3
28 Mar 31 Mar 3 Apr 6 Apr 9 Apr 12 Apr 15 Apr

Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.

The weather it burned in

36°high
44km/h · peak gust
22%lowest humidity

It had gone 7 days without rain (1 mm or more) when it started. Rain came after the fire: 2.1 mm on 19 Apr.

This area had burned before

95% of the perimeter overlaps earlier fires recorded since 2016: 7,745 ha in 2016, 54 ha in 2017, 13,249 ha in 2019, 7,130 ha in 2020, 690 ha in 2021, 1,725 ha in 2022, 13,615 ha in 2023, 3,836 ha in 2024. Part of it burned more than once, so the yearly figures add up to more than the 14,124 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 9.4% of the area of London (149 km² against 1,583 km²).

London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).

This compares size, not location: both shapes are at the same scale, north up, centred on each other.

What happened to each town

  1. Mae Suai แม่สรวย where it started
    14,530 ha
    10 %
  2. Fang ฝาง
    367 ha
    0.4 %
  3. Chai Prakan ไชยปราการ
    44 ha
    0.1 %
  4. Wiang Pa Pao เวียงป่าเป้า
    41 ha
    0.0 %

Burnt area inside each municipality, from crossing the GWIS perimeter with administrative boundaries. The distance is from the town centre to the nearest fire: staying a kilometre away does not mean it reached the houses.

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)
24 Mar 33.0 °C 26 % 27 km/h 0.0 mm Moderate 18
25 Mar 33.1 °C 23 % 33 km/h 0.0 mm Moderate 21
26 Mar 33.6 °C 27 % 24 km/h 0.0 mm Moderate 20
27 Mar 34.0 °C 27 % 32 km/h 0.0 mm High 22
28 Mar 34.5 °C 23 % 38 km/h 0.0 mm High 25
29 Mar 34.3 °C 22 % 44 km/h 0.0 mm High 28
30 Mar 34.0 °C 28 % 36 km/h 0.0 mm High 26
31 Mar 34.8 °C 29 % 30 km/h 0.0 mm High 26
1 Apr 34.1 °C 33 % 24 km/h 0.0 mm High 24
2 Apr 34.7 °C 30 % 32 km/h 0.0 mm High 26
3 Apr 35.8 °C 27 % 24 km/h 0.0 mm High 25
4 Apr 34.3 °C 34 % 28 km/h 0.0 mm High 26
5 Apr 35.2 °C 34 % 28 km/h 0.0 mm High 27
6 Apr 34.1 °C 36 % 25 km/h 0.0 mm High 25
7 Apr 34.5 °C 36 % 30 km/h 0.1 mm High 27
8 Apr 34.9 °C 29 % 34 km/h 0.1 mm High 29
9 Apr 34.3 °C 30 % 34 km/h 0.0 mm High 29
10 Apr 34.6 °C 26 % 42 km/h 0.0 mm High 33
11 Apr 35.0 °C 24 % 38 km/h 0.0 mm High 34
12 Apr 35.1 °C 23 % 24 km/h 0.0 mm High 31
13 Apr 35.6 °C 27 % 24 km/h 0.0 mm High 31
14 Apr 35.5 °C 29 % 26 km/h 0.0 mm High 32
15 Apr 36.3 °C 24 % 34 km/h 0.0 mm High 35
16 Apr 34.7 °C 30 % 22 km/h 0.0 mm High 32
17 Apr after 34.8 °C 31 % 21 km/h 0.0 mm High 30
18 Apr after 34.1 °C 35 % 26 km/h 0.0 mm High 30
19 Apr after 34.0 °C 33 % 32 km/h 2.1 mm Moderate 17

Before and after, from space

Drag the line to compare the same ground before the fire and after it.

Before · 21 Mar 2026
After · 23 Apr 2026

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 · Copernicus

On 17 April 2026 the air beside the fire reached 175 µg/m³ of PM2.5. That day averaged 91: 6.1 times the WHO daily guideline (15).

PM2.5 peak175 µg/m³
Days over the guideline25 days
PM10203 µg/m³
Optical depth1.80
26272829303112345678910111213141516171819
Good Fair Moderate Poor Very poor Extremely poor

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 · 378Every satellite heat detection, one by one, with time, satellite, power and coordinates.
⬇ Download CSV Times in UTC. Each detection is a 375 m pixel: a large fire yields hundreds per pass.
Date and timeSatelliteFRP (MW)LatLon

Other fires nearby

All fires in Thailand ›

Frequently asked questions

How long did the Mae Suai fire last?
GWIS (Copernicus) dates it between 28 March 2026 and 16 April 2026: 20 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 14,912 hectares (149.1 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 4 municipalities: Mae Suai (14,530 ha, 10 %); Fang (367 ha, 0.4 %); Chai Prakan (44 ha, 0.1 %); Wiang Pa Pao (41 ha, 0.0 %).
What was the weather like?
During the fire the temperature reached 36.3 °C, humidity dropped to 22 % and gusts hit 44 km/h. The fire danger index (FWI) reached 35, 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

Satellite cross-check

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
What do you think is wrong?

We will only use your email to reply about this report. Privacy. This is not an emergency service: if there is a fire now, call 199 · 191.

How we know this
  • Perimeter: GWIS (Copernicus), rebuilt from heat detections rather than mapped on imagery; 4 polygons grouped in this page.
  • Dates from the perimeter: the VIIRS detections inside it did not change them. 378 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.

How we build fire pages: methodology ›

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.