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Phaisali fire, 5 December 2017 Phaisali, Nong Bua

Out · last detection 7 Dec 2017, 06:10 UTC

The fire started on 5 December 2017 in Phaisali, Thailand, and satellites saw it burning for 3 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 1,125 hectares from heat detections, spread across 2 municipalities.

It is the 32th largest in Nakhon Sawan Province since 2016 (of 37 with a page). Number 193 in Thailand in 2017, of 240.

The power measured by the satellite is low (22.6 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
1,125ha
GWIS perimeter (Copernicus)
Duration
3days
5 Dec 2017 – 7 Dec 2017
Municipalities hit
2
districts
Started on
5 Dec
2017
Heat detections
28
in a single hotspot: 23 MW
Danger at start
15
Moderate · FWI index
Energy released
232MW
sum of detected power

Where it burned

7 Dec 2017
HOTSPOTS BY DAY 5 Dec7 Dec

How it evolved, day by day

57

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

The weather it burned in

33°high
39km/h · peak gust
49%lowest humidity

It had gone 14 days without rain (1 mm or more) when it started.

This area had burned before

68% of the perimeter overlaps earlier fires recorded since 2016: 942 ha in 2016. Part of it burned more than once, so the yearly figures add up to more than the 766 ha that had burned before.

What happened to each town

  1. Phaisali where it started
    820 ha reached on 5 Dec
    0.8 %
  2. 312 ha reached on 5 Dec
    0.4 %

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)
5 Dec 30.4 °C 49 % 39 km/h 0.0 mm Moderate 15
6 Dec 31.7 °C 50 % 31 km/h 0.0 mm Moderate 14
7 Dec 33.1 °C 50 % 22 km/h 0.0 mm Moderate 12
8 Dec after 32.3 °C 50 % 37 km/h 0.0 mm Moderate 16
9 Dec after 30.2 °C 48 % 38 km/h 0.0 mm Moderate 17
10 Dec after 32.0 °C 50 % 21 km/h 0.0 mm Moderate 14
11 Dec after 33.0 °C 49 % 25 km/h 0.0 mm Moderate 15
12 Dec after 33.8 °C 54 % 22 km/h 0.2 mm Moderate 14
13 Dec after 33.4 °C 57 % 21 km/h 0.3 mm Moderate 13
14 Dec after 33.7 °C 49 % 20 km/h 0.2 mm Moderate 13
15 Dec after 33.6 °C 50 % 26 km/h 0.0 mm Moderate 14
16 Dec after 32.6 °C 44 % 45 km/h 0.0 mm High 21
17 Dec after 29.3 °C 43 % 40 km/h 0.0 mm Moderate 20

Before and after, from space

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

Before · 28 Nov 2017
After · 14 Dec 2017

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 · 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 Phaisali fire last?
GWIS (Copernicus) dates it between 5 December 2017 and 7 December 2017: 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 1,125 hectares (11.2 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Phaisali (820 ha, 0.8 %); Nong Bua (312 ha, 0.4 %).
What was the weather like?
During the fire the temperature reached 33.1 °C, humidity dropped to 49 % and gusts hit 39 km/h. The fire danger index (FWI) reached 15, class Moderate.
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
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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.