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Matupá fire, 25 August 2017 Matupá

Out · last detection 26 Sept 2017, 17:03 UTC

The fire started on 25 August 2017 in Matupá, Brazil, and satellites saw it burning for 32 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 14,257 hectares from heat detections, spread across a single municipality.

It is the 292th largest in Mato Grosso since 2016 (of 1996 with a page). Number 105 in Brazil in 2017, of 994.

Burnt area
14,257ha
GWIS perimeter (Copernicus)
Duration
32days
25 Aug 2017 – 25 Sept 2017
Municipalities hit
1
municipalities
Started on
25 Aug
2017
Heat detections
620
in a single hotspot: 34 MW
Danger at start
40
Very high · FWI index
Energy released
2.9GW
sum of detected power

Where it burned

26 Sept 2017
HOTSPOTS BY DAY 25 Aug25 Sept

How it evolved, day by day

2526272829303123456789101112131415161718192023242526

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
40km/h · peak gust
15%lowest humidity

It had gone more than two months without rain (1 mm or more) when it started. Rain came after the fire: 2.4 mm on 27 Sept.

This area had burned before

No earlier perimeters overlap this fire since 2016, when the satellite record begins.

What happened to each town

  1. Matupá where it started
    14,338 ha reached on 24 Aug
    2.7 %

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)
24 Aug 35.1 °C 25 % 39 km/h 0.0 mm Very high 40
25 Aug 36.0 °C 23 % 36 km/h 0.0 mm Very high 40
26 Aug 36.1 °C 25 % 32 km/h 0.0 mm High 38
27 Aug 36.2 °C 25 % 25 km/h 0.0 mm High 36
28 Aug 36.5 °C 23 % 27 km/h 0.0 mm High 38
29 Aug 35.8 °C 25 % 27 km/h 0.0 mm Very high 38
30 Aug 36.0 °C 27 % 26 km/h 0.0 mm Very high 39
31 Aug 36.2 °C 23 % 24 km/h 0.0 mm High 37
1 Sept 36.0 °C 26 % 25 km/h 0.0 mm Very high 39
2 Sept 35.6 °C 25 % 30 km/h 0.0 mm Very high 40
3 Sept 36.2 °C 19 % 38 km/h 0.0 mm Very high 44
4 Sept 34.4 °C 24 % 39 km/h 0.0 mm Very high 44
5 Sept 34.6 °C 25 % 35 km/h 0.0 mm Very high 45
6 Sept 35.7 °C 25 % 33 km/h 0.0 mm Very high 42
7 Sept 36.3 °C 27 % 31 km/h 0.0 mm Very high 42
8 Sept 36.0 °C 28 % 27 km/h 0.0 mm Very high 40
9 Sept 35.8 °C 28 % 32 km/h 0.0 mm Very high 42
10 Sept 36.7 °C 28 % 36 km/h 0.0 mm Very high 40
11 Sept 37.2 °C 24 % 33 km/h 0.0 mm Very high 40
12 Sept 37.8 °C 21 % 35 km/h 0.0 mm Very high 43
13 Sept 36.7 °C 21 % 30 km/h 0.0 mm Very high 42
14 Sept 35.5 °C 26 % 24 km/h 0.0 mm Very high 40
15 Sept 35.8 °C 26 % 30 km/h 0.0 mm Very high 42
16 Sept 37.4 °C 15 % 40 km/h 0.0 mm Very high 50
17 Sept 35.1 °C 22 % 30 km/h 0.0 mm Very high 44
18 Sept 36.0 °C 21 % 31 km/h 0.0 mm Very high 45
19 Sept 36.5 °C 24 % 32 km/h 0.0 mm Very high 43
20 Sept 35.4 °C 27 % 28 km/h 0.0 mm Very high 38
21 Sept 28.0 °C 47 % 34 km/h 0.2 mm High 30
22 Sept 35.2 °C 29 % 36 km/h 0.0 mm High 34
23 Sept 34.6 °C 35 % 32 km/h 0.0 mm High 34
24 Sept 35.4 °C 35 % 24 km/h 0.0 mm High 31
25 Sept 35.0 °C 33 % 26 km/h 0.0 mm High 34
26 Sept after 33.9 °C 39 % 24 km/h 0.1 mm High 31
27 Sept after 35.1 °C 40 % 26 km/h 2.4 mm Moderate 14

Before and after, from space

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

Before · 18 Aug 2017
After · 2 Oct 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 · 620Every 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 Brazil ›

Frequently asked questions

How long did the Matupá fire last?
GWIS (Copernicus) dates it between 25 August 2017 and 25 September 2017: 32 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 14,257 hectares (142.6 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Matupá (14,338 ha, 2.7 %).
What was the weather like?
During the fire the temperature reached 37.8 °C, humidity dropped to 15 % and gusts hit 40 km/h. The fire danger index (FWI) reached 50, class Extreme.
Where does this data come from?
From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Brazil (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: 193

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 193.

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.