Skip to content
worldfires
TH · Thailand · →

Pak Chom fire, 15 March 2023 Pak Chom

Out · last detection 17 Mar 2023, 06:00 UTC

The fire started on 15 March 2023 in Pak Chom, Thailand, and satellites saw it burning for 3 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 1,073 hectares from heat detections, spread across a single municipality.

It is the 171th largest in Loei Province since 2016 (of 192 with a page). Number 444 in Thailand in 2023, of 500.

The power measured by the satellite is low (9.1 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
1,073ha
GWIS perimeter (Copernicus)
Duration
3days
15 Mar 2023 – 17 Mar 2023
Municipalities hit
1
districts
Started on
15 Mar
2023
Heat detections
21
in a single hotspot: 9 MW
Danger at start
24
High · FWI index
Energy released
50MW
sum of detected power

Where it burned

17 Mar 2023
HOTSPOTS BY DAY 15 Mar17 Mar

How it evolved, day by day

151617

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

The weather it burned in

34°high
28km/h · peak gust
34%lowest humidity

It had gone 39 days without rain (1 mm or more) when it started.

This area had burned before

61% of the perimeter overlaps earlier fires recorded since 2016: 250 ha in 2016, 644 ha in 2019. Part of it burned more than once, so the yearly figures add up to more than the 651 ha that had burned before.

What happened to each town

  1. Pak Chom where it started
    1,078 ha reached on 15 Mar
    1.1 %

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)
15 Mar 33.7 °C 34 % 19 km/h 0.1 mm High 24
16 Mar 32.6 °C 40 % 28 km/h 0.0 mm High 25
17 Mar 34.5 °C 37 % 21 km/h 0.8 mm Moderate 21
18 Mar after 35.3 °C 37 % 20 km/h 0.5 mm High 23
19 Mar after 35.5 °C 38 % 24 km/h 0.7 mm High 24
20 Mar after 36.6 °C 33 % 30 km/h 0.2 mm High 29
21 Mar after 37.3 °C 30 % 36 km/h 0.0 mm High 34
22 Mar after 38.3 °C 25 % 38 km/h 0.0 mm Very high 43
23 Mar after 37.5 °C 25 % 38 km/h 0.1 mm Very high 41
24 Mar after 38.3 °C 25 % 32 km/h 0.0 mm Very high 38
25 Mar after 38.4 °C 23 % 35 km/h 0.0 mm Very high 40
26 Mar after 37.6 °C 24 % 32 km/h 0.0 mm Very high 40
27 Mar after 36.7 °C 31 % 27 km/h 0.0 mm High 36

Before and after, from space

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

Before · 8 Mar 2023
After · 24 Mar 2023

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 20 March 2023 the air beside the fire reached 140 µg/m³ of PM2.5. That day averaged 81: 5.4 times the WHO daily guideline (15).

PM2.5 peak140 µg/m³
Days over the guideline8 days
PM10201 µg/m³
Optical depth1.88
1314151617181920
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 · 21Every 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 Pak Chom fire last?
GWIS (Copernicus) dates it between 15 March 2023 and 17 March 2023: 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 1,073 hectares (10.7 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Pak Chom (1,078 ha, 1.1 %).
What was the weather like?
During the fire the temperature reached 34.5 °C, humidity dropped to 34 % and gusts hit 28 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

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.