Burned area
satellite only1,992ha
Perimeter published by GWIS (Copernicus).
- Source
- GWIS (Copernicus)
- Date
- 22 Mar 2016 – 3 Apr 2016
+− cross-check
No official record is matched to this page to compare it with.
TH · Thailand · –
Khun Yuam fire, 22 March 2016 ขุนยวม · Khun Yuam
Out · last detection 3 Apr 2016, 06:06 UTC
The fire started on 22 March 2016 in Khun Yuam, Thailand, and satellites saw it burning for 13 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 1,992 hectares from heat detections, spread across a single municipality.
It is the 135th largest in Mae Hong Son Province since 2016 (of 361 with a page). Number 120 in Thailand in 2016, of 387.
The power measured by the satellite is low (12.0 MW in the strongest hotspot), more typical of grass or stubble burning, or a slow surface fire, than of a large crown fire.
Use this data
Compare with…
Use this data
Fire page data · version 2026-10-26matches the official recordwith caveatssatellite onlymodel
When copying, the sentence is
Tick the figures you want: they make up the lede and the CSV.
Duration by satellite
satellite only13days
22 Mar 2016 to 3 Apr 2016: first and last day with fire on the page.
- Source
- GWIS (Copernicus) · NASA FIRMS · VIIRS
- Date
- last detection: 3 Apr 2016, 06:06 UTC
+− cross-check
Satellites pass a few times a day and cloud or smoke can hide the fire: a lack of detections is not an official extinction. Each country’s emergency service declares a fire contained or out.
Start
satellite only22 Mar 2016
First day with fire seen by the satellites or the perimeter.
- Source
- GWIS (Copernicus) · NASA FIRMS · VIIRS
- Date
- 22 Mar 2016
+− cross-check
No official record is matched to this page, so the alert time and the cause are not known here.
Hotspots
satellite only69
VIIRS detections at 375 m. Most intense hotspot: 12 MW.
- Source
- NASA FIRMS · VIIRS (Suomi NPP)
- Date
- 22 Mar 2016 – 3 Apr 2016
+− cross-check
There is no official record to compare with. Each hotspot is a pixel detected in one satellite pass, not a separate fire.
The worst day
satellite only169MW
Total radiative power on 26 March 2016; hotspots that day: 29.
- Source
- NASA FIRMS · VIIRS (FRP)
- Date
- 26 Mar 2016
+− cross-check
Fire radiative power (FRP) measures the energy the fire gives off when the satellite passes. Added up by day, it compares intensity, not area.
Danger at the start
model31.8FWI · high
Fire Weather Index (Canadian system) computed by WorldFires for the day the fire started. Consecutive days without rain before: 23.
- Source
- WorldFires calculation (Canadian FWI system)
- Date
- 22 Mar 2016, local noon
- Model
- ERA5 0,25° (ECMWF · Copernicus C3S) · Open-Meteo.com
+− cross-check
This is an index computed from weather model data, not a measurement of the fire nor an official warning. Danger warnings are issued by each country’s authority. Emergency number and official warnings
Weather during the fire
model37.9°C · 23% RH
High of 37.9 °C and minimum humidity of 23% on 31 March 2016; gusts of 42 km/h on 2 April 2016.
- Source
- weather model at the fire’s grid cell
- Date
- 22 Mar 2016 – 3 Apr 2016
- Model
- ERA5 0,25° (ECMWF · Copernicus C3S) · Open-Meteo.com
+− cross-check
These are model values for a cell of about 25 km, not from a weather station: they may differ from what was measured on the ground.
Living inside
model≈ 150people
Estimated residents inside the perimeter and 1.1 ha of built-up area (100 m grid, epoch 2015).
- Source
- GHSL R2023A · JRC
- Date
- calculated on 24 October 2026
+− cross-check
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.
This page’s change log has been kept since 24 October 2026: every night what it publishes is compared and the difference is logged. Anything earlier is reconstructed from each source’s date and marked as reconstructed.
Show
-
· reconstructed weatherWeather and FWI computed from the ERA5 reanalysis
-
logLast day with fire: 27 March 2016 → 3 April 2016.
-
logStart date: 24 March 2016 → 22 March 2016.
-
· reconstructed GHSLPopulation and built-up area computed
What was saved on 26 October 2026
Every night a snapshot of what the page shows is saved. If anything changes, it appears in the list as a log entry.
- Area
- 1,992 ha
- Dates
- 22 Mar 2016 – 3 Apr 2016
- Name
- Khun Yuam
- Official record
- —
Versioned permanent link
https://worldfires.org/en/fire/khun-yuam-2016-03-6?v=2026-10-26A version keeps the area, dates, name and official record; the area as it was logged (changes under 2% are not logged). The map, hotspots and weather always show today’s data.
Citation
A lede of about 60 words figures only, no adjectives
CSV for this fire khun-yuam-2016-03-6.csv · daily, no individual hotspots
| fecha | focos_viirs | frp_mw | tmax_c | tmin_c | hr_min_pct | viento_max_kmh | racha_max_kmh | precip_mm | fwi | clase_fwi | dentro_del_incendio |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-03-22 | 5 | 8 | 35.9 | 22.7 | 32 | 12.3 | 39.6 | 0 | 31.8 | alto | 1 |
| 2016-03-23 | 3 | 12 | 36.2 | 23.5 | 28 | 11.5 | 36 | 0 | 31.7 | alto | 1 |
| 2016-03-24 | 2 | 9 | 36.4 | 23.2 | 30 | 9.8 | 29.5 | 0 | 30.8 | alto | 1 |
| 2016-03-25 | 13 | 82 | 37.3 | 21.7 | 29 | 11.3 | 33.5 | 0 | 32.4 | alto | 1 |
| 2016-03-26 | 29 | 169 | 36.2 | 21 | 27 | 12.8 | 40.3 | 0 | 34.1 | alto | 1 |
| 2016-03-27 | 10 | 25 | 36.2 | 21.8 | 23 | 13 | 41 | 0 | 37 | alto | 1 |
| 2016-03-28 | 1 | 1 | 36 | 22.1 | 28 | 13.2 | 39.2 | 0 | 37.6 | alto | 1 |
| 2016-03-29 | 0 | 0 | 35.4 | 22.5 | 28 | 12.4 | 39.2 | 0 | 37.3 | alto | 1 |
| 2016-03-30 | 0 | 0 | 35.2 | 20.8 | 29 | 10.5 | 33.8 | 0 | 35.9 | alto | 1 |
| 2016-03-31 | 1 | 0 | 37.9 | 18.9 | 23 | 12.9 | 37.4 | 0 | 39 | muy_alto | 1 |
| 2016-04-01 | 3 | 12 | 35.6 | 22.7 | 23 | 12.9 | 40.3 | 0 | 39.4 | muy_alto | 1 |
| 2016-04-02 | 1 | 1 | 34.9 | 21.7 | 28 | 13.9 | 42.1 | 0 | 40.5 | muy_alto | 1 |
| 2016-04-03 | 1 | 1 | 36.6 | 22.5 | 27 | 11 | 37.1 | 0 | 38.1 | muy_alto | 1 |
| 2016-04-04 | 0 | 0 | 36.9 | 23.7 | 26 | 13.4 | 40.3 | 0 | 40.7 | muy_alto | 0 |
| 2016-04-05 | 0 | 0 | 37.5 | 23.8 | 25 | 14.5 | 45 | 0 | 42.2 | muy_alto | 0 |
| 2016-04-06 | 0 | 0 | 37.1 | 24.8 | 33 | 14.4 | 41.4 | 0 | 39.9 | muy_alto | 0 |
| 2016-04-07 | 0 | 0 | 38.1 | 23 | 24 | 9.4 | 30.6 | 0 | 36.3 | alto | 0 |
| 2016-04-08 | 0 | 0 | 38.1 | 25 | 30 | 11.4 | 32.8 | 0 | 38.4 | muy_alto | 0 |
| 2016-04-09 | 0 | 0 | 36.8 | 25.2 | 39 | 15.5 | 43.2 | 0.5 | 37.5 | alto | 0 |
| 2016-04-10 | 0 | 0 | 38.1 | 25.2 | 33 | 12.2 | 38.2 | 0 | 34.9 | alto | 0 |
| 2016-04-11 | 0 | 0 | 39.9 | 25.7 | 27 | 11.9 | 37.4 | 0 | 37.9 | alto | 0 |
| 2016-04-12 | 0 | 0 | 38.3 | 25.6 | 27 | 13.7 | 42.5 | 0 | 39.8 | muy_alto | 0 |
| 2016-04-13 | 0 | 0 | 38.6 | 26.4 | 23 | 15.2 | 44.3 | 0 | 43.4 | muy_alto | 0 |
It is generated in your browser from this page’s data: one file per fire, aggregated by day and without individual hotspots.
Live widget for your story
It updates itself while the fire is still active and links to this page. Free, with the attribution shown at the bottom.
Sources for this page: GWIS (Copernicus), NASA FIRMS (VIIRS), ERA5 (ECMWF/Copernicus C3S) · Open-Meteo.com (CC BY 4.0), GHSL (JRC). Open-Meteo.com · How we build fire pages: methodology
- Burnt area
- 1,992ha
- GWIS perimeter (Copernicus)
- Duration
- 13days
- 22 Mar 2016 – 3 Apr 2016
- Municipalities hit
- 1
- districts
- Started on
- 22 Mar
- 2016
- Heat detections
- 69
- in a single hotspot: 12 MW
- Danger at start
- 32
- High · FWI index
- Average daily power
- 29MW
- detected power per day, on average
Where it burned
HOTSPOTS BY DAY
22 Mar3 Apr
3 Apr 2016
How it evolved, day by day
22 Mar
26 Mar
2 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
42km/h · peak gust
23%lowest humidity
It had gone 23 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
-
2,004 ha reached on 22 Mar1.2 %
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 2015Built-up area1.1 ha
Residents≈ 150
Inside the perimeter there were about 1.1 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) |
|---|---|---|---|---|---|
| 22 Mar | 35.9 °C | 32 % | 40 km/h | 0.0 mm | High 32 |
| 23 Mar | 36.2 °C | 28 % | 36 km/h | 0.0 mm | High 32 |
| 24 Mar | 36.4 °C | 30 % | 30 km/h | 0.0 mm | High 31 |
| 25 Mar | 37.3 °C | 29 % | 34 km/h | 0.0 mm | High 32 |
| 26 Mar | 36.2 °C | 27 % | 40 km/h | 0.0 mm | High 34 |
| 27 Mar | 36.2 °C | 23 % | 41 km/h | 0.0 mm | High 37 |
| 28 Mar | 36.0 °C | 28 % | 39 km/h | 0.0 mm | High 38 |
| 29 Mar | 35.4 °C | 28 % | 39 km/h | 0.0 mm | High 37 |
| 30 Mar | 35.2 °C | 29 % | 34 km/h | 0.0 mm | High 36 |
| 31 Mar | 37.9 °C | 23 % | 37 km/h | 0.0 mm | Very high 39 |
| 1 Apr | 35.6 °C | 23 % | 40 km/h | 0.0 mm | Very high 39 |
| 2 Apr | 34.9 °C | 28 % | 42 km/h | 0.0 mm | Very high 40 |
| 3 Apr | 36.6 °C | 27 % | 37 km/h | 0.0 mm | Very high 38 |
| 4 Apr after | 36.9 °C | 26 % | 40 km/h | 0.0 mm | Very high 41 |
| 5 Apr after | 37.5 °C | 25 % | 45 km/h | 0.0 mm | Very high 42 |
| 6 Apr after | 37.1 °C | 33 % | 41 km/h | 0.0 mm | Very high 40 |
| 7 Apr after | 38.1 °C | 24 % | 31 km/h | 0.0 mm | High 36 |
| 8 Apr after | 38.1 °C | 30 % | 33 km/h | 0.0 mm | Very high 38 |
| 9 Apr after | 36.8 °C | 39 % | 43 km/h | 0.5 mm | High 38 |
| 10 Apr after | 38.1 °C | 33 % | 38 km/h | 0.0 mm | High 35 |
| 11 Apr after | 39.9 °C | 27 % | 37 km/h | 0.0 mm | High 38 |
| 12 Apr after | 38.3 °C | 27 % | 42 km/h | 0.0 mm | Very high 40 |
| 13 Apr after | 38.6 °C | 23 % | 44 km/h | 0.0 mm | Very high 43 |
Its twins: fires that started in the same weather
It started with an FWI of 31.8, a minimum humidity of 32% and 23 days without rain. Fires in the area that started in weather like this since 2016: 36.
FWI at the start
31.8
Minimum humidity
32 %
Days without rain
23
this fire
chosen twins
rest of the area
Almost identicalSimilar
Outlines of the closest twins
This fire · Khun Yuam fire, 22 March 2016
1,992 ha
13 days
FWI 31.8
Min. humidity 32 %
Mae Sariang fire, March 2021
1,696 ha
12 days
FWI 31.9
Min. humidity 33 %
74 km away, in 2021
First rain (1 mm or more) after it ended: 1.1 mm on 23 Mar.
Mese fire, March 2021
2,309 ha
7 days
FWI 31.0
Min. humidity 30 %
35 km away, in 2021
First rain (1 mm or more) after it ended: none in the following ten days.
Mese fire, March 2021
3,490 ha
7 days
FWI 31.1
Min. humidity 30 %
48 km away, in 2021
First rain (1 mm or more) after it ended: none in the following ten days.
Wiang Pa Pao fire, April 2023
2,752 ha
8 days
FWI 32.6
Min. humidity 32 %
165 km away, in 2023
First rain (1 mm or more) after it ended: none in the following ten days.
Omkoi fire, March 2020
1,232 ha
11 days
FWI 33.4
Min. humidity 32 %
128 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
- 2,296 ha
- median area
- 100 %
- went past 1,000 ha
- 3.1 mm
- rain at the end (median; 18 of 36 had it)
It burned an area similar to its twins (1,992 ha against a median of 2,296 ha) and lasted 13 days, against 11 days.
In 18 of 36, 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 3.1 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
—first rain
—no rain in ten days
42km/h · max. gust
It was considered over on 3 Apr, and not even 1 mm fell in the following ten days: it went out without rain. Twins with rain when they ended: 18 of 36, with a median of 3.1 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.
Before and after, from space
Drag the line to compare the same ground before the fire and after it.
↔
Before · 15 Mar 2016
After · 10 Apr 2016
Sentinel-2 did not pass over on that day. Try another date, or use false colour, which is daily.
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 · 69Every 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 time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 32,058 haMueang Mae Hong Son เมืองแม่ฮ่องสอน4 March 2025 · 38 days · 17 km away
- 130,783 haMueang Mae Hong Son เมืองแม่ฮ่องสอน17 March 2026 · 39 days · 20 km away
- 108,448 haMese8 March 2026 · 48 days · 31 km away
- 36,428 haMese17 February 2024 · 37 days · 35 km away
- 21,757 haBawlake22 February 2021 · 24 days · 37 km away
- 21,177 haMese7 March 2025 · 25 days · 39 km away
Frequently asked questions
- How long did the Khun Yuam fire last?
- According to the heat detections seen by satellite inside the perimeter, it burned from 22 March 2016 to 3 April 2016 (13 days). The perimeter dates it from 24 March 2016 to 27 March 2016.
- How much area did it burn?
- The perimeter GWIS (Copernicus) rebuilt from heat detections is 1,992 hectares (19.9 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire only entered Khun Yuam (2,004 ha, 1.2 %).
- What was the weather like?
- During the fire the temperature reached 37.9 °C, humidity dropped to 23 % and gusts hit 42 km/h. The fire danger index (FWI) reached 40, 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: 36. Their median duration was 11 days and their median area 2,296 ha; 100 % went past 1,000 ha. In 18 of 36, 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 3.1 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.
- Last day with fire: 27 March 2016 → 3 April 2016.
- Start date: 24 March 2016 → 22 March 2016.
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
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 24 March 2016 to 27 March 2016. 69 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.