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Kyaukme fire, April 2016 Kyaukme

Out · last detection 12 Apr 2016, 06:38 UTC

The fire started on 9 April 2016 in Kyaukme, Myanmar, and satellites saw it burning for 4 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 3,456 hectares from heat detections, spread across a single municipality.

It is the 290th largest in Shan since 2016 (of 806 with a page). Number 47 in Myanmar in 2016, of 157.

Compare with…
Burnt area
3,456ha
GWIS perimeter (Copernicus)
Duration
4days
9 Apr 2016 – 12 Apr 2016
Municipalities hit
1
municipalities
Started on
9 Apr
2016
Heat detections
115
in a single hotspot: 142 MW
Danger at start
27
High · FWI index
Average daily power
810MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 9 Apr12 Apr
12 Apr 2016

How it evolved, day by day

9 Apr 2016 · 2,963 MW · 77 10 Apr 2016 · 40 MW · 6 11 Apr 2016 · 61 MW · 25 12 Apr 2016 · 175 MW · 7
9 Apr 10 Apr 11 Apr 12 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

35°high
57km/h · peak gust
22%lowest humidity

It had gone 6 days without rain (1 mm or more) when it started. Rain came after the fire: 2.0 mm on 13 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 2.2% of the area of London (35 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. Kyaukme where it started
    3,474 ha
    0.9 %

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 area< 0.1 ha
Residents< 20

Inside the perimeter there was no noticeable built-up land and almost nobody lived there (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)
9 Apr 33.8 °C 27 % 47 km/h 0.2 mm High 27
10 Apr 33.5 °C 29 % 49 km/h 0.0 mm High 29
11 Apr 35.1 °C 22 % 44 km/h 0.0 mm High 30
12 Apr 33.5 °C 23 % 57 km/h 0.1 mm High 33
13 Apr after 30.6 °C 38 % 49 km/h 2.0 mm Moderate 13

Before and after, from space

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

Before · 2 Apr 2016
After · 19 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 · 115Every 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 Myanmar ›

Frequently asked questions

How long did the Kyaukme fire last?
GWIS (Copernicus) dates it between 9 April 2016 and 12 April 2016: 4 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 3,456 hectares (34.6 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Kyaukme (3,474 ha, 0.9 %).
What was the weather like?
During the fire the temperature reached 35.1 °C, humidity dropped to 22 % and gusts hit 57 km/h. The fire danger index (FWI) reached 33, class High.
Where does this data come from?
From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Myanmar (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.

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.

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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. 115 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 ADM3 (Creative Commons Attribution 4.0 (CC BY 4.0)). 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.