Skip to content
worldfires
TH · Thailand · →

Pang Mapha fire, 15 March 2016 ปางมะผ้า · Pang Mapha, Mueang Mae Hong Son

Out · last detection 7 Apr 2016, 06:31 UTC

The fire started on 15 March 2016 in Pang Mapha, Thailand, and satellites saw it burning for 24 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 6,222 hectares from heat detections, spread across 2 municipalities.

It is the 30th largest in Mae Hong Son Province since 2016 (of 386 with a page). Number 16 in Thailand in 2016, of 387.

The power measured by the satellite is low (15.3 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…

Suggestions: Pang Mapha · 2026Pang Mapha · 2024

Burnt area
6,222ha
GWIS perimeter (Copernicus)
Duration
24days
15 Mar 2016 – 7 Apr 2016
Municipalities hit
2
districts
Started on
15 Mar
2016
Heat detections
263
in a single hotspot: 15 MW
Danger at start
31
High · FWI index
Average daily power
45MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 15 Mar7 Apr
7 Apr 2016

How it evolved, day by day

15 Mar 2016 · 6 MW · 1 20 Mar 2016 · 14 MW · 5 21 Mar 2016 · 27 MW · 16 22 Mar 2016 · 61 MW · 30 23 Mar 2016 · 15 MW · 13 24 Mar 2016 · 116 MW · 19 25 Mar 2016 · 40 MW · 16 26 Mar 2016 · 126 MW · 34 27 Mar 2016 · 214 MW · 64 28 Mar 2016 · 61 MW · 22 29 Mar 2016 · 1 MW · 1 30 Mar 2016 · 2 MW · 1 31 Mar 2016 · 65 MW · 14 1 Apr 2016 · 14 MW · 5 2 Apr 2016 · 1 MW · 1 4 Apr 2016 · 16 MW · 2 5 Apr 2016 · 17 MW · 3 6 Apr 2016 · 34 MW · 13 7 Apr 2016 · 22 MW · 3
15 Mar 22 Mar 25 Mar 27 Mar 28 Mar 31 Mar 4 Apr 7 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

38°high
45km/h · peak gust
20%lowest humidity

It had gone 14 days without rain (1 mm or more) when it started. Rain came after the fire: 1.6 mm on 9 Apr.

This area had burned before

No earlier perimeters overlap this fire since 2016, when the satellite record begins.

How big is it?

10 km
It burned the equivalent of 3.9% of the area of London (62 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 where it started
    6,200 ha reached on 15 Mar
    5.6 %
  2. Mueang Mae Hong Son เมืองแม่ฮ่องสอน
    55 ha reached on 21 Mar
    0.0 %

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 2015
Built-up area1.5 ha
Residents≈ 300

Inside the perimeter there were about 1.5 hectares of built-up land and about 300 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 Mar 36.9 °C 27 % 39 km/h 0.0 mm High 31
16 Mar 36.9 °C 31 % 41 km/h 0.1 mm High 32
17 Mar 37.1 °C 29 % 40 km/h 0.0 mm High 32
18 Mar 36.6 °C 29 % 37 km/h 0.0 mm High 32
19 Mar 36.9 °C 24 % 37 km/h 0.0 mm High 33
20 Mar 37.4 °C 32 % 40 km/h 0.0 mm High 34
21 Mar 37.7 °C 28 % 45 km/h 0.0 mm High 36
22 Mar 37.2 °C 31 % 38 km/h 0.0 mm High 34
23 Mar 37.7 °C 25 % 36 km/h 0.0 mm High 34
24 Mar 37.4 °C 28 % 27 km/h 0.0 mm High 32
25 Mar 38.2 °C 29 % 35 km/h 0.0 mm High 34
26 Mar 36.9 °C 25 % 40 km/h 0.0 mm High 37
27 Mar 36.8 °C 24 % 41 km/h 0.0 mm High 38
28 Mar 36.5 °C 25 % 38 km/h 0.0 mm High 38
29 Mar 35.9 °C 26 % 40 km/h 0.0 mm Very high 38
30 Mar 34.9 °C 30 % 28 km/h 0.0 mm High 34
31 Mar 37.8 °C 20 % 37 km/h 0.0 mm Very high 39
1 Apr 36.0 °C 21 % 40 km/h 0.0 mm Very high 41
2 Apr 35.7 °C 27 % 42 km/h 0.0 mm Very high 42
3 Apr 37.6 °C 26 % 36 km/h 0.0 mm Very high 39
4 Apr 37.8 °C 24 % 40 km/h 0.0 mm Very high 41
5 Apr 38.3 °C 24 % 46 km/h 0.0 mm Very high 43
6 Apr 38.2 °C 32 % 42 km/h 0.0 mm Very high 40
7 Apr 39.2 °C 22 % 30 km/h 0.0 mm High 38
8 Apr after 38.5 °C 29 % 32 km/h 0.0 mm Very high 39
9 Apr after 38.6 °C 35 % 43 km/h 1.6 mm High 26

Before and after, from space

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

Before · 8 Mar 2016
After · 14 Apr 2016

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 · 263Every 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 Pang Mapha fire last?
According to the heat detections seen by satellite inside the perimeter, it burned from 15 March 2016 to 7 April 2016 (24 days). The perimeter dates it from 20 March 2016 to 1 April 2016.
How much area did it burn?
The perimeter GWIS (Copernicus) rebuilt from heat detections is 6,222 hectares (62.2 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Pang Mapha (6,200 ha, 5.6 %); Mueang Mae Hong Son (55 ha, 0.0 %).
What was the weather like?
During the fire the temperature reached 38.2 °C, humidity dropped to 20 % and gusts hit 45 km/h. The fire danger index (FWI) reached 41, 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 · 2 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
  1. Last day with fire: 1 April 2016 → 7 April 2016.
  2. Start date: 20 March 2016 → 15 March 2016.

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 adjusted with the VIIRS detections inside the perimeter, which said 20 March 2016 to 1 April 2016. 263 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.