Umphang fire, 5 April 2016 อุ้มผาง · Umphang
The fire started on 5 April 2016 in Umphang, Thailand, and satellites saw it burning for 7 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 2,001 hectares from heat detections, spread across a single municipality.
It is the 106th largest in Tak Province since 2016 (of 329 with a page). Number 118 in Thailand in 2016, of 387.
Compare with…
- Burnt area
- 2,001ha
- GWIS perimeter (Copernicus)
- Duration
- 7days
- 5 Apr 2016 – 11 Apr 2016
- Municipalities hit
- 1
- districts
- Started on
- 5 Apr
- 2016
- Heat detections
- 84
- in a single hotspot: 43 MW
- Danger at start
- 21
- High · FWI index
- Average daily power
- 131MW
- detected power per day, on average
Where it burned
How it evolved, day by day
Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.
The weather it burned in
It had gone 29 days without rain (1 mm or more) when it started.
This area had burned before
No earlier perimeters overlap this fire since 2016, when the satellite record begins.
How big is it?
London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).
Bangkok boundary: geoBoundaries · OpenStreetMap, Wambacher · © OpenStreetMap contributors (ODbL 1.0).
Paris boundary: geoBoundaries · Institut national de l'information géographique et forestière (IGN-F) (Etalab Open License 2.0).
Madrid boundary: geoBoundaries · Open Data ESRI, IGN Central Registry of Cartography Area (CC BY 4.0).
This compares size, not location: both shapes are at the same scale, north up, centred on each other.
What happened to each town
-
2,017 ha0.4 %
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 2015Inside the perimeter there were about 1.6 hectares of built-up land and about 150 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) |
|---|---|---|---|---|---|
| 25 Mar | 32.8 °C | 45 % | 35 km/h | 0.7 mm | Moderate 21 |
| 26 Mar | 33.9 °C | 38 % | 33 km/h | 0.0 mm | High 23 |
| 27 Mar | 30.2 °C | 59 % | 27 km/h | 5.7 mm | Very low 3 |
| 28 Mar | 29.8 °C | 63 % | 27 km/h | 6.7 mm | Very low 1 |
| 29 Mar | 29.8 °C | 66 % | 20 km/h | 16.6 mm | Very low 0 |
| 30 Mar | 31.8 °C | 56 % | 24 km/h | 8.8 mm | Very low 0 |
| 31 Mar | 31.7 °C | 58 % | 22 km/h | 8.9 mm | Very low 0 |
| 1 Apr | 31.3 °C | 54 % | 23 km/h | 1.0 mm | Very low 1 |
| 2 Apr | 31.3 °C | 52 % | 26 km/h | 0.9 mm | Very low 3 |
| 3 Apr | 33.5 °C | 41 % | 30 km/h | 0.0 mm | Low 9 |
| 4 Apr | 33.3 °C | 42 % | 33 km/h | 0.0 mm | Low 11 |
| 5 Apr | 32.9 °C | 47 % | 39 km/h | 0.0 mm | Moderate 12 |
| 6 Apr | 33.9 °C | 43 % | 40 km/h | 0.0 mm | Moderate 14 |
| 7 Apr | 33.2 °C | 51 % | 23 km/h | 0.6 mm | Low 10 |
| 8 Apr | 33.8 °C | 45 % | 24 km/h | 3.9 mm | Very low 2 |
| 9 Apr | 33.5 °C | 47 % | 34 km/h | 0.0 mm | Low 9 |
| 10 Apr | 34.8 °C | 42 % | 41 km/h | 0.0 mm | Moderate 15 |
| 11 Apr | 35.0 °C | 43 % | 31 km/h | 0.4 mm | Moderate 14 |
| 12 Apr after | 34.4 °C | 44 % | 46 km/h | 0.0 mm | Moderate 17 |
| 13 Apr after | 34.4 °C | 45 % | 47 km/h | 0.0 mm | Moderate 18 |
| 14 Apr after | 34.7 °C | 44 % | 35 km/h | 0.2 mm | Moderate 17 |
| 15 Apr after | 35.8 °C | 40 % | 36 km/h | 0.2 mm | Moderate 18 |
| 16 Apr after | 35.8 °C | 37 % | 27 km/h | 0.0 mm | Moderate 19 |
| 17 Apr after | 37.4 °C | 29 % | 21 km/h | 0.0 mm | High 23 |
| 18 Apr after | 36.5 °C | 36 % | 22 km/h | 0.0 mm | High 24 |
| 19 Apr after | 36.2 °C | 40 % | 21 km/h | 0.0 mm | High 22 |
| 20 Apr after | 36.5 °C | 32 % | 34 km/h | 0.0 mm | High 26 |
| 21 Apr after | 35.0 °C | 39 % | 35 km/h | 0.4 mm | High 26 |
Before and after, from space
Drag the line to compare the same ground before the fire and after it.
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 · 84Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 29,428 haMyawaddy28 February 2026 · 15 days · 9 km away
- 25,040 haMyawaddy13 February 2021 · 38 days · 11 km away
- 15,646 haMyawaddy11 March 2016 · 16 days · 12 km away
- 21,008 haMyawaddy6 March 2019 · 21 days · 13 km away
- 75,419 haKyainseikgyi7 March 2020 · 39 days · 29 km away
- 19,313 haPang Sila Thong ปางศิลาทองMarch 2023 · 30 days · 39 km away
Frequently asked questions
- How long did the Umphang fire last?
- GWIS (Copernicus) dates it between 5 April 2016 and 11 April 2016: 7 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 2,001 hectares (20.0 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire only entered Umphang (2,017 ha, 0.4 %).
- What was the weather like?
- During the fire the temperature reached 35.0 °C, humidity dropped to 38 % and gusts hit 41 km/h. The fire danger index (FWI) reached 23, 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.
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
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. 84 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.
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.