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Mae Poen fire, February 2017 แม่เปิน · Mae Poen, Lan Sak

Out · last detection 24 Feb 2017, 07:13 UTC

The fire started on 22 February 2017 in Mae Poen, Thailand, and satellites saw it burning for 3 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 1,175 hectares from heat detections, spread across 2 municipalities.

It is the 32th largest in Nakhon Sawan Province since 2016 (of 39 with a page). Number 119 in Thailand in 2017, of 155.

The power measured by the satellite is low (19.5 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
1,175ha
GWIS perimeter (Copernicus)
Duration
3days
22 Feb 2017 – 24 Feb 2017
Municipalities hit
2
districts
Started on
22 Feb
2017
Heat detections
20
in a single hotspot: 20 MW
Danger at start
17
Moderate · FWI index
Average daily power
58MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 22 Feb24 Feb
24 Feb 2017

How it evolved, day by day

22 Feb 2017 · 2 MW · 1 23 Feb 2017 · 162 MW · 16 24 Feb 2017 · 12 MW · 2
22 Feb 23 Feb 24 Feb

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
25km/h · peak gust
29%lowest humidity

It had gone 33 days without rain (1 mm or more) when it started.

This area had burned before

13% of the perimeter overlaps earlier fires recorded since 2016: 156 ha in 2016.

How big is it?

10 km
It burned the equivalent of 0.7% of the area of London (12 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 Poen แม่เปิน where it started
    1,071 ha
    3.2 %
  2. Lan Sak ลานสัก
    110 ha
    0.1 %

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 2015
Built-up area4.0 ha
Residents≈ 200

Inside the perimeter there were about 4.0 hectares of built-up land and about 200 residents (GHSL 2015, 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)

Day High Min. humidity Peak gust Rain Danger (FWI)
15 Feb 29.8 °C 39 % 25 km/h 0.0 mm Moderate 17
16 Feb 30.8 °C 40 % 22 km/h 0.0 mm Moderate 17
17 Feb 32.2 °C 38 % 20 km/h 0.0 mm Moderate 18
18 Feb 32.4 °C 37 % 23 km/h 0.0 mm Moderate 18
19 Feb 33.1 °C 34 % 19 km/h 0.0 mm Moderate 19
20 Feb 35.0 °C 32 % 19 km/h 0.0 mm Moderate 21
21 Feb 35.2 °C 29 % 20 km/h 0.0 mm High 23
22 Feb 34.8 °C 38 % 22 km/h 0.0 mm High 24
23 Feb 35.8 °C 38 % 19 km/h 0.0 mm High 23
24 Feb 36.0 °C 37 % 23 km/h 0.0 mm High 26
25 Feb after 34.7 °C 48 % 21 km/h 0.1 mm Moderate 20
26 Feb after 32.8 °C 52 % 26 km/h 0.3 mm Moderate 20
27 Feb after 32.5 °C 47 % 24 km/h 0.2 mm Moderate 19
28 Feb after 33.1 °C 46 % 23 km/h 0.0 mm Moderate 19
1 Mar after 33.9 °C 42 % 25 km/h 0.0 mm Moderate 20
2 Mar after 32.0 °C 41 % 27 km/h 0.0 mm Moderate 20
3 Mar after 33.6 °C 39 % 20 km/h 0.0 mm Moderate 20
4 Mar after 35.0 °C 39 % 19 km/h 0.0 mm Moderate 20
5 Mar after 34.7 °C 41 % 17 km/h 0.0 mm High 21
6 Mar after 35.6 °C 37 % 19 km/h 0.0 mm High 23

Before and after, from space

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

Before · 15 Feb 2017
After · 3 Mar 2017

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 · 20Every 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 Poen fire last?
GWIS (Copernicus) dates it between 22 February 2017 and 24 February 2017: 3 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 1,175 hectares (11.8 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Mae Poen (1,071 ha, 3.2 %); Lan Sak (110 ha, 0.1 %).
What was the weather like?
During the fire the temperature reached 36.0 °C, humidity dropped to 29 % and gusts hit 25 km/h. The fire danger index (FWI) reached 26, 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 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.

No changes since 24 October 2026.

RSS Changes to this page

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 from the perimeter: the VIIRS detections inside it did not change them. 20 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 2015, 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.