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Wang Nuea fire, March 2024 Wang Nuea

Out · last detection 3 Apr 2024, 18:48 UTC

The fire started on 29 March 2024 in Wang Nuea, Thailand, and satellites saw it burning for 6 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 1,083 hectares from heat detections, spread across a single municipality.

It is the 172th largest in Lampang Province since 2016 (of 202 with a page). Number 310 in Thailand in 2024, of 350.

The power measured by the satellite is low (8.5 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
1,083ha
GWIS perimeter (Copernicus)
Duration
6days
29 Mar 2024 – 3 Apr 2024
Municipalities hit
1
districts
Started on
29 Mar
2024
Heat detections
28
in a single hotspot: 9 MW
Danger at start
19
Moderate · FWI index
Energy released
99MW
sum of detected power

Where it burned

3 Apr 2024
HOTSPOTS BY DAY 29 Mar3 Apr

How it evolved, day by day

29123

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

The weather it burned in

38°high
41km/h · peak gust
27%lowest humidity

It had gone 5 days without rain (1 mm or more) when it started.

This area had burned before

12% of the perimeter overlaps earlier fires recorded since 2016: 122 ha in 2019, 22 ha in 2021. Part of it burned more than once, so the yearly figures add up to more than the 128 ha that had burned before.

What happened to each town

  1. Wang Nuea where it started
    1,091 ha reached on 28 Mar
    1.2 %

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)
28 Mar 35.5 °C 32 % 26 km/h 0.0 mm Moderate 19
29 Mar 35.8 °C 28 % 41 km/h 0.0 mm High 23
30 Mar 36.0 °C 28 % 33 km/h 0.0 mm High 23
31 Mar 36.9 °C 28 % 28 km/h 0.0 mm High 23
1 Apr 37.6 °C 28 % 28 km/h 0.0 mm High 23
2 Apr 37.9 °C 27 % 28 km/h 0.0 mm High 25
3 Apr 38.2 °C 30 % 29 km/h 0.0 mm High 25
4 Apr after 38.7 °C 30 % 26 km/h 0.0 mm High 26
5 Apr after 38.5 °C 31 % 30 km/h 0.0 mm High 26
6 Apr after 38.6 °C 33 % 34 km/h 0.0 mm High 28
7 Apr after 38.4 °C 35 % 30 km/h 0.0 mm High 29
8 Apr after 38.7 °C 34 % 24 km/h 0.0 mm High 30
9 Apr after 40.0 °C 32 % 31 km/h 0.0 mm High 28
10 Apr after 35.0 °C 43 % 27 km/h 0.5 mm High 24
11 Apr after 36.8 °C 40 % 22 km/h 0.7 mm High 22
12 Apr after 36.3 °C 40 % 24 km/h 0.8 mm Moderate 21
13 Apr after 37.7 °C 34 % 21 km/h 0.1 mm High 31

Before and after, from space

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

Before · 22 Mar 2024
After · 10 Apr 2024

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 5 April 2024 the air beside the fire reached 63 µg/m³ of PM2.5. That day averaged 44: 3.0 times the WHO daily guideline (15).

PM2.5 peak63 µg/m³
Days over the guideline11 days
PM1096 µg/m³
Optical depth1.32
2728293031123456
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 · 28Every 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 Wang Nuea fire last?
GWIS (Copernicus) dates it between 29 March 2024 and 3 April 2024: 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 1,083 hectares (10.8 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Wang Nuea (1,091 ha, 1.2 %).
What was the weather like?
During the fire the temperature reached 38.2 °C, humidity dropped to 27 % and gusts hit 41 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.