Lan Sak fire, March 2020 ลานสัก · Mae Poen, Lan Sak
The fire started on 27 March 2020 in Lan Sak, Thailand, and satellites saw it burning for 5 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 3,478 hectares from heat detections, spread across 2 municipalities.
It is the 15th largest in Uthai Thani Province since 2016 (of 73 with a page). Number 67 in Thailand in 2020, of 457.
The power measured by the satellite is low (23.3 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…
- Burnt area
- 3,478ha
- GWIS perimeter (Copernicus)
- Duration
- 5days
- 27 Mar 2020 – 31 Mar 2020
- Municipalities hit
- 2
- districts
- Started on
- 27 Mar
- 2020
- Heat detections
- 156
- in a single hotspot: 23 MW
- Danger at start
- 26
- High · FWI index
- Average daily power
- 144MW
- 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 4 days without rain (1 mm or more) when it started.
This area had burned before
76% of the perimeter overlaps earlier fires recorded since 2016: 2,420 ha in 2016, 1,884 ha in 2019. Part of it burned more than once, so the yearly figures add up to more than the 2,637 ha that had burned before.
- 1,522 ha Ban Rai fire, February 2016 82,117 ha in total; the hectares shown are those it shares with this fire
- 932 ha Lan Sak fire, March 2019 1,620 ha in total; the hectares shown are those it shares with this fire
- 854 ha Mae Poen fire, March 2016 2,429 ha in total; the hectares shown are those it shares with this fire
- 116 ha Mae Wong fire, March 2019 15,759 ha in total; the hectares shown are those it shares with this fire
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
-
Mae Poen แม่เปิน2,007 ha6.1 %
-
1,493 ha1.0 %
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 2020Inside the perimeter there was no noticeable built-up land and almost nobody lived there (GHSL 2020, 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) |
|---|---|---|---|---|---|
| 21 Mar | 33.7 °C | 27 % | 21 km/h | 0.0 mm | High 26 |
| 22 Mar | 32.6 °C | 27 % | 26 km/h | 0.0 mm | High 27 |
| 23 Mar | 32.6 °C | 30 % | 31 km/h | 0.0 mm | High 28 |
| 24 Mar | 32.2 °C | 32 % | 32 km/h | 0.0 mm | High 29 |
| 25 Mar | 31.6 °C | 34 % | 34 km/h | 0.0 mm | High 30 |
| 26 Mar | 33.9 °C | 28 % | 22 km/h | 0.0 mm | High 28 |
| 27 Mar | 34.3 °C | 26 % | 22 km/h | 0.0 mm | High 30 |
| 28 Mar | 34.6 °C | 22 % | 26 km/h | 0.0 mm | High 33 |
| 29 Mar | 34.7 °C | 24 % | 27 km/h | 0.0 mm | High 33 |
| 30 Mar | 34.4 °C | 24 % | 28 km/h | 0.0 mm | High 34 |
| 31 Mar | 34.3 °C | 26 % | 34 km/h | 0.0 mm | High 35 |
| 1 Apr after | 35.0 °C | 29 % | 34 km/h | 0.0 mm | High 36 |
| 2 Apr after | 34.4 °C | 29 % | 31 km/h | 0.0 mm | High 35 |
| 3 Apr after | 33.5 °C | 29 % | 35 km/h | 0.0 mm | High 37 |
| 4 Apr after | 32.8 °C | 32 % | 36 km/h | 0.0 mm | High 35 |
| 5 Apr after | 32.2 °C | 45 % | 26 km/h | 0.0 mm | High 26 |
| 6 Apr after | 33.9 °C | 30 % | 24 km/h | 0.0 mm | High 28 |
| 7 Apr after | 34.2 °C | 29 % | 26 km/h | 0.0 mm | High 30 |
| 8 Apr after | 32.7 °C | 33 % | 31 km/h | 0.0 mm | High 30 |
| 9 Apr after | 32.3 °C | 35 % | 36 km/h | 0.0 mm | High 33 |
| 10 Apr after | 32.5 °C | 35 % | 31 km/h | 0.5 mm | High 31 |
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 · 156Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 57,928 haMae Poen แม่เปิน25 March 2026 · 29 days · 13 km away
- 20,476 haLan Sak ลานสัก3 March 2019 · 15 days · 13 km away
- 15,759 haMae Wong แม่วงก์March 2019 · 14 days · 21 km away
- 6,804 haLan Sak ลานสัก19 February 2020 · 14 days · 30 km away
- 19,313 haPang Sila Thong ปางศิลาทองMarch 2023 · 30 days · 32 km away
- 6,697 haPang Sila Thong ปางศิลาทอง14 March 2016 · 6 days · 32 km away
Frequently asked questions
- How long did the Lan Sak fire last?
- GWIS (Copernicus) dates it between 27 March 2020 and 31 March 2020: 5 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 3,478 hectares (34.8 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Mae Poen (2,007 ha, 6.1 %); Lan Sak (1,493 ha, 1.0 %).
- What was the weather like?
- During the fire the temperature reached 34.7 °C, humidity dropped to 22 % and gusts hit 34 km/h. The fire danger index (FWI) reached 35, 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. 156 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 2020, 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.