Mae Ramat fire, February 2024 แม่ระมาด · Mae Ramat
The fire started on 24 February 2024 in Mae Ramat, Thailand, and satellites saw it burning for 7 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 2,124 hectares from heat detections, spread across a single municipality.
It is the 93th largest in Tak Province since 2016 (of 329 with a page). Number 79 in Thailand in 2024, of 277.
Compare with…
- Burnt area
- 2,124ha
- GWIS perimeter (Copernicus)
- Duration
- 7days
- 24 Feb 2024 – 1 Mar 2024
- Municipalities hit
- 1
- districts
- Started on
- 24 Feb
- 2024
- Heat detections
- 73
- in a single hotspot: 53 MW
- Danger at start
- 22
- High · FWI index
- Average daily power
- 72MW
- 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 24 days without rain (1 mm or more) when it started.
This area had burned before
100% of the perimeter overlaps earlier fires recorded since 2016: 1,301 ha in 2016, 846 ha in 2017, 1,220 ha in 2018, 1,520 ha in 2019, 1,773 ha in 2020, 1,201 ha in 2021, 228 ha in 2022, 628 ha in 2023. Part of it burned more than once, so the yearly figures add up to more than the 2,115 ha that had burned before.
- 811 ha Tha Song Yang fire, April 2018 31,164 ha in total; the hectares shown are those it shares with this fire
- 512 ha Mae Ramat fire, March 2019 1,018 ha in total; the hectares shown are those it shares with this fire
- 474 ha Mae Ramat fire, February 2021 1,688 ha in total; the hectares shown are those it shares with this fire
- 326 ha Mae Ramat fire, April 2017 2,565 ha in total; the hectares shown are those it shares with this fire
- 321 ha Mae Ramat fire, March 2018 1,994 ha in total; the hectares shown are those it shares with this fire
- 285 ha Mae Ramat fire, March 2019 2,491 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
-
2,138 ha reached on 24 Feb1.4 %
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 2025Inside the perimeter there was no noticeable built-up land and almost nobody lived there (GHSL 2025, 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. The GHSL 2025 epoch is a projection made from 2020 and earlier data.
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) |
|---|---|---|---|---|---|
| 24 Feb | 35.9 °C | 30 % | 26 km/h | 0.0 mm | High 22 |
| 25 Feb | 37.2 °C | 28 % | 26 km/h | 0.0 mm | High 23 |
| 26 Feb | 35.3 °C | 43 % | 28 km/h | 0.0 mm | Moderate 20 |
| 27 Feb | 33.0 °C | 55 % | 20 km/h | 1.1 mm | Low 9 |
| 28 Feb | 34.2 °C | 46 % | 33 km/h | 0.1 mm | Moderate 16 |
| 29 Feb | 35.5 °C | 35 % | 34 km/h | 0.0 mm | High 22 |
| 1 Mar | 35.6 °C | 31 % | 35 km/h | 0.0 mm | High 25 |
| 2 Mar after | 36.1 °C | 35 % | 36 km/h | 0.0 mm | High 26 |
| 3 Mar after | 34.9 °C | 38 % | 39 km/h | 0.0 mm | High 27 |
| 4 Mar after | 34.6 °C | 34 % | 44 km/h | 0.0 mm | High 28 |
| 5 Mar after | 35.6 °C | 33 % | 31 km/h | 0.0 mm | High 26 |
| 6 Mar after | 35.6 °C | 36 % | 35 km/h | 0.0 mm | High 27 |
| 7 Mar after | 35.1 °C | 35 % | 27 km/h | 0.0 mm | High 25 |
| 8 Mar after | 36.0 °C | 36 % | 36 km/h | 0.0 mm | High 29 |
| 9 Mar after | 35.2 °C | 33 % | 42 km/h | 0.0 mm | High 30 |
| 10 Mar after | 35.5 °C | 31 % | 39 km/h | 0.0 mm | High 30 |
| 11 Mar after | 36.0 °C | 31 % | 34 km/h | 0.0 mm | High 29 |
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.
The smoke
CAMS · CopernicusOn 27 February 2024 the air beside the fire reached 31 µg/m³ of PM2.5. That day averaged 29: 1.9 times the WHO daily guideline (15).
Particles from the Copernicus CAMS model at the centre of the perimeter; these are not measurements in each town. The pale bar is the worst hour, the solid one the daily average.
Open-Meteo.com (CC BY 4.0) · Copernicus Atmosphere Monitoring Service (CAMS)
Detections table · 73Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
Frequently asked questions
- How long did the Mae Ramat fire last?
- GWIS (Copernicus) dates it between 24 February 2024 and 1 March 2024: 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 2,124 hectares (21.2 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire only entered Mae Ramat (2,138 ha, 1.4 %).
- What was the weather like?
- During the fire the temperature reached 37.2 °C, humidity dropped to 28 % and gusts hit 35 km/h. The fire danger index (FWI) reached 25, 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; 2 polygons grouped in this page.
- Dates from the perimeter: the VIIRS detections inside it did not change them. 73 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 2025, 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.