Skip to content
worldfires
TH · Thailand · →

Li fire, 3 March 2025 Li

Out · last detection 6 Mar 2025, 05:59 UTC

The fire started on 3 March 2025 in Li, Thailand, and satellites saw it burning for 4 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 1,025 hectares from heat detections, spread across a single municipality.

It is the 437th largest in Chiang Mai Province since 2016 (of 463 with a page). Number 228 in Thailand in 2025, of 239.

The power measured by the satellite is low (12.4 MW in the strongest hotspot), more typical of grass or stubble burning, or a slow surface fire, than of a large crown fire.

Burnt area
1,025ha
GWIS perimeter (Copernicus)
Duration
4days
3 Mar 2025 – 6 Mar 2025
Municipalities hit
1
districts
Started on
3 Mar
2025
Heat detections
27
in a single hotspot: 12 MW
Danger at start
13
Moderate · FWI index
Energy released
89MW
sum of detected power

Where it burned

6 Mar 2025
HOTSPOTS BY DAY 3 Mar6 Mar

How it evolved, day by day

3456

Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.

The weather it burned in

37°high
33km/h · peak gust
21%lowest humidity

It had gone 2 days without rain (1 mm or more) when it started.

This area had burned before

68% of the perimeter overlaps earlier fires recorded since 2016: 105 ha in 2016, 374 ha in 2017, 275 ha in 2018, 181 ha in 2019, 279 ha in 2022, 57 ha in 2024. Part of it burned more than once, so the yearly figures add up to more than the 695 ha that had burned before.

What happened to each town

  1. Li where it started
    1,032 ha reached on 3 Mar
    0.6 %

Burnt area inside each municipality, from crossing the GWIS perimeter with administrative boundaries. The distance is from the town centre to the nearest fire: staying a kilometre away does not mean it reached the houses.

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)
27 Feb 34.5 °C 40 % 15 km/h 0.1 mm Moderate 13
28 Feb 36.0 °C 33 % 21 km/h 0.0 mm Moderate 17
1 Mar 35.9 °C 32 % 33 km/h 0.0 mm Moderate 21
2 Mar 37.3 °C 23 % 25 km/h 0.0 mm High 24
3 Mar 36.7 °C 27 % 18 km/h 0.0 mm High 25
4 Mar 36.5 °C 29 % 19 km/h 0.0 mm High 26
5 Mar 36.2 °C 27 % 24 km/h 0.0 mm High 26
6 Mar 36.6 °C 21 % 24 km/h 0.0 mm High 28
7 Mar after 33.6 °C 43 % 36 km/h 0.7 mm Moderate 19
8 Mar after 30.4 °C 56 % 35 km/h 0.3 mm Moderate 18
9 Mar after 30.2 °C 57 % 23 km/h 0.2 mm Moderate 16
10 Mar after 34.7 °C 47 % 23 km/h 0.1 mm Moderate 16
11 Mar after 37.1 °C 32 % 20 km/h 0.0 mm High 24
12 Mar after 35.7 °C 32 % 24 km/h 0.0 mm High 24
13 Mar after 37.2 °C 30 % 27 km/h 0.0 mm High 27
14 Mar after 37.5 °C 25 % 24 km/h 0.0 mm High 29
15 Mar after 37.2 °C 31 % 18 km/h 0.0 mm High 30
16 Mar after 37.1 °C 33 % 16 km/h 0.0 mm High 30

Before and after, from space

Drag the line to compare the same ground before the fire and after it.

Before · 24 Feb 2025
After · 13 Mar 2025

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 · Copernicus

On 7 March 2025 the air beside the fire reached 50 µg/m³ of PM2.5. That day averaged 40: 2.7 times the WHO daily guideline (15).

PM2.5 peak50 µg/m³
Days over the guideline7 days
PM1054 µg/m³
Optical depth0.87
123456789
Good Fair Moderate Poor Very poor Extremely poor

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 · 27Every 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 timeSatelliteFRP (MW)LatLon

Other fires nearby

All fires in Thailand ›

Frequently asked questions

How long did the Li fire last?
GWIS (Copernicus) dates it between 3 March 2025 and 6 March 2025: 4 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 1,025 hectares (10.2 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Li (1,032 ha, 0.6 %).
What was the weather like?
During the fire the temperature reached 37.3 °C, humidity dropped to 21 % and gusts hit 33 km/h. The fire danger index (FWI) reached 28, 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

Satellite cross-check

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
What do you think is wrong?

We will only use your email to reply about this report. Privacy. This is not an emergency service: if there is a fire now, call 199 · 191.

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.