Skip to content
worldfires
TH · Thailand · →

Phaisali fire, March 2026 Phaisali

Out · last detection 5 Mar 2026, 18:11 UTC

The fire started on 3 March 2026 in Phaisali, Thailand, and satellites saw it burning for 3 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 1,315 hectares from heat detections, spread across a single municipality.

It is the 25th largest in Nakhon Sawan Province since 2016 (of 37 with a page). Number 611 in Thailand in 2026, of 880.

The power measured by the satellite is low (5.6 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
1,315ha
GWIS perimeter (Copernicus)
Duration
3days
3 Mar 2026 – 5 Mar 2026
Municipalities hit
1
districts
Started on
3 Mar
2026
Heat detections
18
in a single hotspot: 6 MW
Danger at start
14
Moderate · FWI index
Energy released
47MW
sum of detected power

Where it burned

5 Mar 2026
HOTSPOTS BY DAY 3 Mar5 Mar

How it evolved, day by day

345

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

The weather it burned in

35°high
36km/h · peak gust
29%lowest humidity

It had gone 3 days without rain (1 mm or more) when it started.

This area had burned before

60% of the perimeter overlaps earlier fires recorded since 2016: 226 ha in 2017, 82 ha in 2019, 219 ha in 2021, 485 ha in 2023, 275 ha in 2025. Part of it burned more than once, so the yearly figures add up to more than the 792 ha that had burned before.

What happened to each town

  1. Phaisali where it started
    1,323 ha reached on 3 Mar
    1.3 %

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)
3 Mar 34.0 °C 36 % 19 km/h 0.0 mm Moderate 14
4 Mar 34.8 °C 29 % 17 km/h 0.0 mm Moderate 18
5 Mar 32.8 °C 38 % 36 km/h 0.0 mm High 24
6 Mar after 31.3 °C 48 % 38 km/h 0.2 mm Moderate 21
7 Mar after 32.5 °C 39 % 34 km/h 0.1 mm Moderate 18
8 Mar after 33.4 °C 38 % 35 km/h 0.0 mm Moderate 20
9 Mar after 33.7 °C 34 % 36 km/h 0.0 mm High 23
10 Mar after 32.3 °C 39 % 53 km/h 0.0 mm High 28
11 Mar after 32.1 °C 37 % 38 km/h 0.0 mm High 24
12 Mar after 31.9 °C 41 % 33 km/h 0.2 mm Moderate 21
13 Mar after 29.8 °C 42 % 44 km/h 0.0 mm High 26
14 Mar after 31.8 °C 39 % 35 km/h 0.1 mm High 24
15 Mar after 32.3 °C 37 % 37 km/h 0.0 mm High 25

Before and after, from space

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

Before · 24 Feb 2026
After · 12 Mar 2026

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 3 March 2026 the air beside the fire reached 87 µg/m³ of PM2.5. That day averaged 39: 2.6 times the WHO daily guideline (15).

PM2.5 peak87 µg/m³
Days over the guideline7 days
PM1089 µg/m³
Optical depth0.63
12345678
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 · 18Every 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 Phaisali fire last?
GWIS (Copernicus) dates it between 3 March 2026 and 5 March 2026: 3 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 1,315 hectares (13.2 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Phaisali (1,323 ha, 1.3 %).
What was the weather like?
During the fire the temperature reached 34.8 °C, humidity dropped to 29 % and gusts hit 36 km/h. The fire danger index (FWI) reached 24, 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.