Li fire, 24 January 2020 ลี้ · Li
The fire started on 24 January 2020 in Li, Thailand, and satellites saw it burning for 6 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 1,411 hectares from heat detections, spread across a single municipality.
It is the 225th largest in Chiang Mai Province since 2016 (of 399 with a page). Number 263 in Thailand in 2020, of 457.
Compare with…
Suggestions: Mae Phrik · 2019Li · 2017Li · 2018Li · 2016
- Burnt area
- 1,411ha
- GWIS perimeter (Copernicus)
- Duration
- 6days
- 24 Jan 2020 – 29 Jan 2020
- Municipalities hit
- 1
- districts
- Started on
- 24 Jan
- 2020
- Heat detections
- 36
- in a single hotspot: 37 MW
- Danger at start
- 21
- Moderate · FWI index
- Average daily power
- 34MW
- 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 20 days without rain (1 mm or more) when it started.
This area had burned before
84% of the perimeter overlaps earlier fires recorded since 2016: 238 ha in 2016, 717 ha in 2017, 786 ha in 2018, 458 ha in 2019. Part of it burned more than once, so the yearly figures add up to more than the 1,191 ha that had burned before.
- 250 ha Mae Phrik fire, February 2019 21,139 ha in total; the hectares shown are those it shares with this fire
- 203 ha Li fire, March 2017 1,254 ha in total; the hectares shown are those it shares with this fire
- 149 ha Li fire, March 2018 1,437 ha in total; the hectares shown are those it shares with this fire
- 130 ha Li fire, March 2016 1,309 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
-
1,417 ha0.8 %
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) |
|---|---|---|---|---|---|
| 19 Jan | 31.2 °C | 41 % | 27 km/h | 0.0 mm | Moderate 21 |
| 20 Jan | 30.6 °C | 45 % | 26 km/h | 0.0 mm | Moderate 20 |
| 21 Jan | 32.0 °C | 39 % | 19 km/h | 0.0 mm | Moderate 21 |
| 22 Jan | 33.1 °C | 35 % | 14 km/h | 0.0 mm | Moderate 20 |
| 23 Jan | 32.9 °C | 30 % | 25 km/h | 0.0 mm | High 24 |
| 24 Jan | 31.9 °C | 25 % | 32 km/h | 0.0 mm | High 28 |
| 25 Jan | 30.8 °C | 22 % | 38 km/h | 0.0 mm | High 31 |
| 26 Jan | 29.3 °C | 17 % | 30 km/h | 0.0 mm | High 31 |
| 27 Jan | 28.7 °C | 27 % | 28 km/h | 0.0 mm | High 30 |
| 28 Jan | 29.1 °C | 23 % | 18 km/h | 0.0 mm | High 28 |
| 29 Jan | 30.2 °C | 29 % | 22 km/h | 0.0 mm | High 29 |
| 30 Jan after | 28.8 °C | 42 % | 30 km/h | 0.0 mm | High 24 |
| 31 Jan after | 30.7 °C | 34 % | 28 km/h | 0.0 mm | High 24 |
| 1 Feb after | 30.8 °C | 33 % | 27 km/h | 0.0 mm | High 24 |
| 2 Feb after | 31.6 °C | 30 % | 25 km/h | 0.0 mm | High 26 |
| 3 Feb after | 32.0 °C | 28 % | 22 km/h | 0.0 mm | High 28 |
| 4 Feb after | 31.8 °C | 27 % | 27 km/h | 0.0 mm | High 28 |
| 5 Feb after | 31.8 °C | 28 % | 33 km/h | 0.0 mm | High 29 |
| 6 Feb after | 31.7 °C | 28 % | 30 km/h | 0.0 mm | High 29 |
| 7 Feb after | 32.9 °C | 28 % | 25 km/h | 0.0 mm | High 28 |
| 8 Feb after | 31.8 °C | 34 % | 28 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.
Detections table · 36Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 20,120 haLi ลี้23 March 2026 · 33 days · 18 km away
- 21,139 haMae Phrik แม่พริกFebruary 2019 · 33 days · 21 km away
- 28,586 haLi ลี้20 March 2026 · 24 days · 23 km away
- 12,196 haMae Phrik แม่พริก1 March 2024 · 19 days · 23 km away
- 18,226 haMae Phrik แม่พริก13 March 2025 · 19 days · 25 km away
- 45,311 haMae Phrik แม่พริกMarch 2026 · 35 days · 26 km away
Frequently asked questions
- How long did the Li fire last?
- GWIS (Copernicus) dates it between 24 January 2020 and 29 January 2020: 6 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 1,411 hectares (14.1 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire only entered Li (1,417 ha, 0.8 %).
- What was the weather like?
- During the fire the temperature reached 33.1 °C, humidity dropped to 17 % and gusts hit 38 km/h. The fire danger index (FWI) reached 31, 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. 36 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.