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Wang Nuea fire, 28 March 2019 วังเหนือ · Mueang Phayao, Wang Nuea, Ngao

Out · last detection 16 Apr 2019, 19:00 UTC

The fire started on 28 March 2019 in Wang Nuea, Thailand, and satellites saw it burning for 20 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 4,996 hectares from heat detections, spread across 3 municipalities.

It is the 16th largest in Lampang Province since 2016 (of 216 with a page). Number 20 in Thailand in 2019, of 386.

The power measured by the satellite is low (10.5 MW in the strongest hotspot), more typical of grass or stubble burning, or a slow surface fire, than of a large crown fire.

Compare with…
Burnt area
4,996ha
GWIS perimeter (Copernicus)
Duration
20days
28 Mar 2019 – 16 Apr 2019
Municipalities hit
3
districts
Started on
28 Mar
2019
Heat detections
239
in a single hotspot: 10 MW
Danger at start
34
High · FWI index
Average daily power
33MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 28 Mar16 Apr
16 Apr 2019

How it evolved, day by day

28 Mar 2019 · 6 MW · 3 29 Mar 2019 · 9 MW · 9 30 Mar 2019 · 47 MW · 20 31 Mar 2019 · 63 MW · 28 1 Apr 2019 · 31 MW · 13 2 Apr 2019 · 16 MW · 8 3 Apr 2019 · 3 MW · 3 4 Apr 2019 · 13 MW · 4 5 Apr 2019 · 38 MW · 20 6 Apr 2019 · 41 MW · 10 7 Apr 2019 · 1 MW · 1 8 Apr 2019 · 40 MW · 18 9 Apr 2019 · 52 MW · 13 10 Apr 2019 · 56 MW · 17 11 Apr 2019 · 66 MW · 20 12 Apr 2019 · 63 MW · 21 13 Apr 2019 · 29 MW · 9 14 Apr 2019 · 16 MW · 2 15 Apr 2019 · 52 MW · 10 16 Apr 2019 · 29 MW · 10
28 Mar 31 Mar 3 Apr 6 Apr 9 Apr 11 Apr 12 Apr 15 Apr

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
34km/h · peak gust
22%lowest humidity

It had gone more than two months without rain (1 mm or more) when it started. Rain came after the fire: 1.2 mm on 19 Apr.

This area had burned before

36% of the perimeter overlaps earlier fires recorded since 2016: 1,870 ha in 2016.

How big is it?

10 km
It burned the equivalent of 3.2% of the area of London (50 km² against 1,583 km²).

London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).

This compares size, not location: both shapes are at the same scale, north up, centred on each other.

What happened to each town

  1. Mueang Phayao เมืองพะเยา
    2,623 ha reached on 28 Mar
    2.9 %
  2. Wang Nuea วังเหนือ where it started
    2,351 ha reached on 29 Mar
    2.5 %
  3. Ngao งาว
    48 ha reached on 29 Mar
    0.0 %

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 2020
Built-up area0.17 ha
Residents< 20

Inside the perimeter there were about 0.17 hectares of 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)
25 Mar 31.8 °C 32 % 34 km/h 0.0 mm High 34
26 Mar 30.9 °C 37 % 29 km/h 0.0 mm High 29
27 Mar 30.6 °C 36 % 32 km/h 0.0 mm High 31
28 Mar 31.2 °C 28 % 30 km/h 0.0 mm High 31
29 Mar 30.7 °C 22 % 23 km/h 0.0 mm High 32
30 Mar 31.3 °C 27 % 22 km/h 0.0 mm High 33
31 Mar 32.0 °C 30 % 31 km/h 0.0 mm High 35
1 Apr 32.6 °C 24 % 29 km/h 0.0 mm High 34
2 Apr 31.9 °C 27 % 32 km/h 0.0 mm High 35
3 Apr 31.8 °C 29 % 30 km/h 0.0 mm High 34
4 Apr 32.0 °C 28 % 24 km/h 0.0 mm High 34
5 Apr 32.4 °C 27 % 31 km/h 0.0 mm High 34
6 Apr 31.7 °C 26 % 28 km/h 0.0 mm High 36
7 Apr 32.7 °C 28 % 30 km/h 0.0 mm High 36
8 Apr 33.0 °C 23 % 30 km/h 0.0 mm High 36
9 Apr 33.0 °C 28 % 26 km/h 0.0 mm High 36
10 Apr 33.2 °C 26 % 30 km/h 0.0 mm High 38
11 Apr 33.6 °C 25 % 26 km/h 0.0 mm High 35
12 Apr 33.2 °C 30 % 22 km/h 0.0 mm High 35
13 Apr 34.0 °C 27 % 26 km/h 0.0 mm High 36
14 Apr 34.1 °C 25 % 30 km/h 0.0 mm Very high 39
15 Apr 34.5 °C 24 % 34 km/h 0.0 mm Very high 39
16 Apr 34.6 °C 28 % 39 km/h 0.0 mm Very high 38
17 Apr after 33.4 °C 33 % 29 km/h 0.0 mm High 35
18 Apr after 34.4 °C 32 % 22 km/h 0.0 mm High 34
19 Apr after 34.7 °C 30 % 28 km/h 1.2 mm High 27

Before and after, from space

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

Before · 21 Mar 2019
After · 23 Apr 2019

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 · 239Every 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?
According to the heat detections seen by satellite inside the perimeter, it burned from 28 March 2019 to 16 April 2019 (20 days). The perimeter dates it from 30 March 2019 to 12 April 2019.
How much area did it burn?
The perimeter GWIS (Copernicus) rebuilt from heat detections is 4,996 hectares (50.0 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 3 municipalities: Mueang Phayao (2,623 ha, 2.9 %); Wang Nuea (2,351 ha, 2.5 %); Ngao (48 ha, 0.0 %).
What was the weather like?
During the fire the temperature reached 33.6 °C, humidity dropped to 22 % and gusts hit 34 km/h. The fire danger index (FWI) reached 38, class Very 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 · 2 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
  1. Last day with fire: 12 April 2019 → 16 April 2019.
  2. Start date: 30 March 2019 → 28 March 2019.

RSS Changes to this page

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.

How we know this
  • Perimeter: GWIS (Copernicus), rebuilt from heat detections rather than mapped on imagery; 4 polygons grouped in this page.
  • Dates adjusted with the VIIRS detections inside the perimeter, which said 30 March 2019 to 12 April 2019. 239 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.

How we build fire pages: methodology ›

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.