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Tabaporã fire, June 2018 Tabaporã, Porto dos Gaúchos

Out · last detection 12 Jul 2018, 16:43 UTC

The fire started on 12 June 2018 in Tabaporã, Brazil, and satellites saw it burning for 30 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 3,345 hectares from heat detections, spread across 2 municipalities.

It is the 1750th largest in Mato Grosso since 2016 (of 1996 with a page). Number 235 in Brazil in 2018, of 291.

Burnt area
3,345ha
GWIS perimeter (Copernicus)
Duration
30days
12 Jun 2018 – 11 Jul 2018
Municipalities hit
2
municipalities
Started on
12 Jun
2018
Heat detections
648
in a single hotspot: 174 MW
Danger at start
18
Moderate · FWI index
Energy released
8.1GW
sum of detected power

Where it burned

12 Jul 2018
HOTSPOTS BY DAY 12 Jun11 Jul

How it evolved, day by day

1213141617182021222324252627282930123456789101112

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
37km/h · peak gust
28%lowest humidity

It had gone 20 days without rain (1 mm or more) when it started.

This area had burned before

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

What happened to each town

  1. Tabaporã where it started
    2,892 ha reached on 9 Jun
    0.3 %
  2. Porto dos Gaúchos 5,593 inhabitants
    479 ha reached on 17 Jun
    0.1 %

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)
9 Jun 32.7 °C 49 % 30 km/h 0.0 mm Moderate 18
10 Jun 30.7 °C 58 % 37 km/h 0.6 mm Moderate 13
11 Jun 31.1 °C 61 % 35 km/h 1.7 mm Very low 5
12 Jun 31.1 °C 54 % 32 km/h 0.4 mm Low 11
13 Jun 31.6 °C 40 % 28 km/h 0.0 mm Moderate 19
14 Jun 28.5 °C 54 % 32 km/h 0.0 mm Moderate 20
15 Jun 27.4 °C 60 % 31 km/h 0.0 mm Moderate 18
16 Jun 29.6 °C 51 % 32 km/h 0.0 mm Moderate 18
17 Jun 30.0 °C 48 % 30 km/h 0.0 mm Moderate 19
18 Jun 30.1 °C 42 % 30 km/h 0.0 mm Moderate 21
19 Jun 30.1 °C 40 % 26 km/h 0.0 mm High 22
20 Jun 31.8 °C 40 % 30 km/h 0.0 mm High 23
21 Jun 30.9 °C 43 % 31 km/h 0.0 mm High 24
22 Jun 32.5 °C 36 % 28 km/h 0.0 mm High 25
23 Jun 31.8 °C 38 % 36 km/h 0.0 mm High 27
24 Jun 32.1 °C 38 % 28 km/h 0.0 mm High 26
25 Jun 32.4 °C 31 % 34 km/h 0.0 mm High 30
26 Jun 32.0 °C 36 % 27 km/h 0.0 mm High 28
27 Jun 31.1 °C 32 % 32 km/h 0.0 mm High 30
28 Jun 31.2 °C 34 % 35 km/h 0.0 mm High 32
29 Jun 31.1 °C 39 % 32 km/h 0.0 mm High 30
30 Jun 31.6 °C 37 % 25 km/h 0.0 mm High 29
1 Jul 31.5 °C 35 % 29 km/h 0.0 mm High 30
2 Jul 31.3 °C 34 % 31 km/h 0.0 mm High 30
3 Jul 31.5 °C 34 % 24 km/h 0.0 mm High 30
4 Jul 32.7 °C 32 % 33 km/h 0.0 mm High 32
5 Jul 33.1 °C 32 % 28 km/h 0.0 mm High 30
6 Jul 32.2 °C 28 % 29 km/h 0.0 mm High 32
7 Jul 31.7 °C 33 % 31 km/h 0.0 mm High 33
8 Jul 32.9 °C 36 % 24 km/h 0.0 mm High 31
9 Jul 29.4 °C 48 % 36 km/h 0.0 mm High 30
10 Jul 25.1 °C 51 % 37 km/h 0.0 mm High 26
11 Jul 29.9 °C 42 % 28 km/h 0.0 mm High 24
12 Jul after 32.3 °C 37 % 28 km/h 0.0 mm High 26
13 Jul after 33.7 °C 37 % 26 km/h 0.0 mm High 27
14 Jul after 33.8 °C 32 % 35 km/h 0.0 mm High 32
15 Jul after 34.2 °C 31 % 30 km/h 0.0 mm High 33
16 Jul after 33.5 °C 30 % 24 km/h 0.0 mm High 32
17 Jul after 33.1 °C 34 % 31 km/h 0.0 mm High 33
18 Jul after 32.5 °C 35 % 31 km/h 0.0 mm High 34
19 Jul after 33.0 °C 32 % 30 km/h 0.0 mm High 32
20 Jul after 33.6 °C 28 % 30 km/h 0.0 mm High 34
21 Jul after 31.4 °C 32 % 40 km/h 0.0 mm High 37
22 Jul after 31.6 °C 36 % 22 km/h 0.0 mm High 33
23 Jul after 33.4 °C 31 % 32 km/h 0.0 mm High 34
24 Jul after 32.7 °C 27 % 33 km/h 0.0 mm High 34
25 Jul after 31.8 °C 31 % 31 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 · 5 Jun 2018
After · 18 Jul 2018

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 · 648Every 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 Tabaporã fire last?
GWIS (Copernicus) dates it between 12 June 2018 and 11 July 2018: 30 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 3,345 hectares (33.4 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Tabaporã (2,892 ha, 0.3 %); Porto dos Gaúchos (479 ha, 0.1 %).
What was the weather like?
During the fire the temperature reached 34.2 °C, humidity dropped to 28 % and gusts hit 37 km/h. The fire danger index (FWI) reached 33, class High.
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.