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TH · Thailand · –

Pai fire, 28 March 2019 ปาย · Pang Mapha, Pai

Out · last detection 10 Apr 2019, 19:12 UTC

The fire started on 28 March 2019 in Pai, Thailand, and satellites saw it burning for 15 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 1,319 hectares from heat detections, spread across 2 municipalities.

It is the 240th largest in Mae Hong Son Province since 2016 (of 361 with a page). Number 231 in Thailand in 2019, of 385.

The power measured by the satellite is low (22.8 MW in the strongest hotspot), more typical of grass or stubble burning, or a slow surface fire, than of a large crown fire.

Burnt area
1,319ha
GWIS perimeter (Copernicus)
Duration
15days
28 Mar 2019 – 11 Apr 2019
Municipalities hit
2
districts
Started on
28 Mar
2019
Heat detections
42
in a single hotspot: 23 MW
Danger at start
40
Very high · FWI index
Average daily power
15MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 28 Mar11 Apr
10 Apr 2019

How it evolved, day by day

28 Mar 2019 · 6 MW · 1 29 Mar 2019 · 6 MW · 3 31 Mar 2019 · 1 MW · 1 1 Apr 2019 · 6 MW · 4 2 Apr 2019 · 9 MW · 3 3 Apr 2019 · 18 MW · 7 4 Apr 2019 · 32 MW · 8 5 Apr 2019 · 66 MW · 11 6 Apr 2019 · 1 MW · 1 10 Apr 2019 · 8 MW · 3
28 Mar 31 Mar 2 Apr 5 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

32°high
44km/h · peak gust
14%lowest humidity

It had gone more than two months without rain (1 mm or more) when it started. Rain came after the fire: 1.3 mm on 18 Apr.

This area had burned before

20% of the perimeter overlaps earlier fires recorded since 2016: 267 ha in 2016.

How big is it?

10 km
It burned the equivalent of 0.8% of the area of London (13 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. Pang Mapha ปางมะผ้า
    818 ha reached on 28 Mar
    0.7 %
  2. Pai ปาย where it started
    507 ha reached on 29 Mar
    0.2 %

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 2020
Built-up area< 0.1 ha
Residents< 20

Inside the perimeter there was no noticeable built-up land and almost nobody lived there (GHSL 2020, 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.

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)

Started with 60 days without rain: 14 % of the area in Thailand

Day High Min. humidity Peak gust Rain Danger (FWI)
28 Mar 28.9 °C 24 % 44 km/h 0.0 mm Very high 40
29 Mar 31.0 °C 14 % 30 km/h 0.0 mm High 38
30 Mar 30.1 °C 21 % 31 km/h 0.0 mm Very high 39
31 Mar 30.2 °C 19 % 37 km/h 0.0 mm Very high 41
1 Apr 30.8 °C 16 % 37 km/h 0.0 mm Very high 41
2 Apr 31.3 °C 18 % 35 km/h 0.0 mm Very high 41
3 Apr 30.4 °C 24 % 37 km/h 0.2 mm Very high 39
4 Apr 30.9 °C 19 % 36 km/h 0.0 mm Very high 39
5 Apr 30.9 °C 20 % 33 km/h 0.0 mm Very high 39
6 Apr 31.5 °C 20 % 36 km/h 0.0 mm Very high 40
7 Apr 31.4 °C 21 % 43 km/h 0.1 mm Very high 42
8 Apr 31.1 °C 21 % 42 km/h 0.3 mm Very high 41
9 Apr 31.2 °C 22 % 40 km/h 0.0 mm Very high 42
10 Apr 31.5 °C 18 % 43 km/h 0.0 mm Very high 43
11 Apr 32.2 °C 20 % 38 km/h 0.0 mm Very high 42
12 Apr after 31.7 °C 21 % 35 km/h 0.0 mm Very high 41
13 Apr after 32.1 °C 21 % 33 km/h 0.0 mm Very high 42
14 Apr after 32.6 °C 24 % 38 km/h 0.0 mm Very high 42
15 Apr after 32.4 °C 25 % 38 km/h 0.0 mm Very high 41
16 Apr after 32.9 °C 26 % 29 km/h 0.0 mm Very high 39
17 Apr after 31.5 °C 31 % 42 km/h 0.2 mm Very high 39
18 Apr after 32.7 °C 28 % 43 km/h 1.3 mm High 27

Its twins: fires that started in the same weather

It started with an FWI of 39.6, a minimum humidity of 24% and more than two months without rain. Fires in the area that started in weather like this since 2016: 42.

FWI at the start 39.6
Minimum humidity 24 %
Days without rain 60+
this fire chosen twins rest of the area
Almost identicalSimilar

Outlines of the closest twins

Pang Mapha fire, March 2020
4,495 ha 22 days FWI 39.7 Min. humidity 24 % 27 km away, in 2020

First rain (1 mm or more) after it ended: none in the following ten days.

What happened to them

11 days
median duration
1,940 ha
median area
100 %
went past 1,000 ha
1.8 mm
rain at the end (median; 20 of 42 had it)

It burned an area similar to its twins (1,319 ha against a median of 1,940 ha) and lasted 15 days, against 11 days.

In 22 of 42, not even 1 mm fell in the ten days after the end: they went out without rain. In the rest, the first rainy day brought a median of 1.8 mm.

This is a bank of analogues: it shows what usually happens, not what will happen. With fewer than 15 twins we give no figures. How we calculate it

How it ended

1.3 mmfirst rain
18 Apr7 days after it ended
44km/h · max. gust

It was considered over on 11 Apr, and on 18 Apr 1.3 mm fell. We do not know whether the rain or the firefighters put it out. Twins with rain when they ended: 20 of 42, with a median of 1.8 mm.

Weather on this page: Open-Meteo.com (CC BY 4.0) · Copernicus Climate Change Service (ERA5)

How a twin is chosen

  • Same area: fires that have already ended, less than 250 km from this one, since 2016.
  • Same start: we compare the FWI on the first day, the minimum humidity that day and the run of days without rain before it. The slider sets how much they may differ.
  • Only pages with final weather data (ERA5 reanalysis) calculated in the same way as this fire’s; agricultural and grass burns and pages with data under review are left out.
  • Fires burning at the same time as this one (a week before or after) are left out: they share the same spell of weather and do not count as a precedent.
  • They are sorted by similarity, and the outlines of the first five are drawn.

How we calculate it

Before and after, from space

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

Before · 21 Mar 2019
After · 18 Apr 2019

If the day is cloudy, change the date: each satellite passes once a day. In false colour the burnt ground looks brown or red.

Detections table · 42Every 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 Pai fire last?
According to the heat detections seen by satellite inside the perimeter, it burned from 28 March 2019 to 11 April 2019 (15 days). The perimeter dates it from 31 March 2019 to 6 April 2019.
How much area did it burn?
The perimeter GWIS (Copernicus) rebuilt from heat detections is 1,319 hectares (13.2 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Pang Mapha (818 ha, 0.7 %); Pai (507 ha, 0.2 %).
What was the weather like?
During the fire the temperature reached 32.2 °C, humidity dropped to 14 % and gusts hit 44 km/h. The fire danger index (FWI) reached 43, 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.
How did the fires that started in similar weather in this area end?
Fires less than 250 km away that started since 2016 with a similar FWI, humidity and dry spell: 42. Their median duration was 11 days and their median area 1,940 ha; 100 % went past 1,000 ha. In 22 of 42, not even 1 mm fell in the ten days after the end: they went out without rain. In the rest, the first rainy day brought a median of 1.8 mm.

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 · 2 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
  1. Last day with fire: 6 April 2019 → 11 April 2019.
  2. Start date: 31 March 2019 → 28 March 2019.

RSS Changes to this page With cross-checks and a citable version

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.
  • Dates adjusted with the VIIRS detections inside the perimeter, which said 31 March 2019 to 6 April 2019. 42 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 2020, 100 m cells), summed inside the perimeter: an estimate of what was there, not a damage count.

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.