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Sop Prap fire, March 2019 สบปราบ · Sop Prap, Wang Chin

Out · last detection 10 Mar 2019, 18:54 UTC

The fire started on 1 March 2019 in Sop Prap, Thailand, and satellites saw it burning for 11 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 1,274 hectares from heat detections, spread across 2 municipalities.

It is the 136th largest in Lampang Province since 2016 (of 216 with a page). Number 249 in Thailand in 2019, of 386.

The power measured by the satellite is low (15.6 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
1,274ha
GWIS perimeter (Copernicus)
Duration
11days
1 Mar 2019 – 11 Mar 2019
Municipalities hit
2
districts
Started on
1 Mar
2019
Heat detections
35
in a single hotspot: 16 MW
Danger at start
25
High · FWI index
Average daily power
31MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 1 Mar11 Mar
10 Mar 2019

How it evolved, day by day

1 Mar 2019 · 1 MW · 1 7 Mar 2019 · 6 MW · 1 8 Mar 2019 · 8 MW · 3 9 Mar 2019 · 70 MW · 11 10 Mar 2019 · 70 MW · 19
1 Mar 7 Mar 8 Mar 9 Mar 10 Mar

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

The weather it burned in

36°high
39km/h · peak gust
24%lowest humidity

It had gone 9 days without rain (1 mm or more) when it started.

This area had burned before

70% of the perimeter overlaps earlier fires recorded since 2016: 902 ha in 2016, 116 ha in 2017. Part of it burned more than once, so the yearly figures add up to more than the 897 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 0.8% of the area of London (13 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. Sop Prap สบปราบ where it started
    1,280 ha reached on 1 Mar
    2.6 %
  2. Wang Chin วังชิ้น
    1 ha
    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 area0.10 ha
Residents< 20

Inside the perimeter there were about 0.10 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)
26 Feb 34.2 °C 33 % 23 km/h 0.0 mm High 25
27 Feb 34.3 °C 33 % 17 km/h 0.0 mm High 25
28 Feb 34.2 °C 37 % 22 km/h 0.0 mm High 23
1 Mar 35.7 °C 29 % 23 km/h 0.0 mm High 24
2 Mar 36.0 °C 26 % 24 km/h 0.0 mm High 26
3 Mar 35.6 °C 26 % 24 km/h 0.0 mm High 27
4 Mar 35.2 °C 24 % 32 km/h 0.0 mm High 30
5 Mar 35.4 °C 26 % 32 km/h 0.0 mm High 30
6 Mar 35.6 °C 25 % 30 km/h 0.0 mm High 30
7 Mar 35.2 °C 30 % 26 km/h 0.0 mm High 29
8 Mar 35.6 °C 28 % 37 km/h 0.0 mm High 34
9 Mar 35.7 °C 28 % 39 km/h 0.0 mm High 35
10 Mar 35.2 °C 25 % 28 km/h 0.0 mm High 32
11 Mar 35.4 °C 19 % 19 km/h 0.0 mm High 34
12 Mar after 35.3 °C 27 % 22 km/h 0.0 mm High 34
13 Mar after 35.2 °C 31 % 20 km/h 0.0 mm High 32
14 Mar after 35.1 °C 34 % 21 km/h 0.0 mm High 30
15 Mar after 34.9 °C 33 % 22 km/h 0.0 mm High 31
16 Mar after 36.1 °C 30 % 28 km/h 0.0 mm High 32
17 Mar after 36.2 °C 33 % 24 km/h 0.0 mm High 31
18 Mar after 35.8 °C 32 % 22 km/h 0.0 mm High 31
19 Mar after 35.8 °C 35 % 32 km/h 0.5 mm High 32
20 Mar after 37.0 °C 26 % 32 km/h 0.0 mm High 34

Before and after, from space

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

Before · 22 Feb 2019
After · 18 Mar 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 · 35Every 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 Sop Prap fire last?
According to the heat detections seen by satellite inside the perimeter, it burned from 1 March 2019 to 11 March 2019 (11 days). The perimeter dates it from 7 March 2019 to 10 March 2019.
How much area did it burn?
The perimeter GWIS (Copernicus) rebuilt from heat detections is 1,274 hectares (12.7 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Sop Prap (1,280 ha, 2.6 %); Wang Chin (1 ha, 0.0 %).
What was the weather like?
During the fire the temperature reached 36.0 °C, humidity dropped to 24 % and gusts hit 39 km/h. The fire danger index (FWI) reached 35, 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 · Emergency number and official warnings ›

Satellite cross-check

History of this page Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.

No changes since 24 October 2026.

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.
  • Dates adjusted with the VIIRS detections inside the perimeter, which said 7 March 2019 to 10 March 2019. 35 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.