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BR · Brazil · –

João Costa fire, October 2021 Brejo do Piauí, João Costa

Out · last detection 11 Oct 2021, 15:48 UTC

The fire started on 3 October 2021 in João Costa, Brazil, and satellites saw it burning for 9 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 4,094 hectares from heat detections, spread across 2 municipalities.

It is the 418th largest in Piaui since 2016 (of 665 with a page). Number 531 in Brazil in 2021, of 814.

Burnt area
4,094ha
GWIS perimeter (Copernicus)
Duration
9days
3 Oct 2021 – 11 Oct 2021
Municipalities hit
2
municipalities
Started on
3 Oct
2021
Heat detections
126
in a single hotspot: 112 MW
Danger at start
48
Very high · FWI index
Average daily power
253MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 3 Oct11 Oct
11 Oct 2021

How it evolved, day by day

3 Oct 2021 · 21 MW · 3 4 Oct 2021 · 189 MW · 11 6 Oct 2021 · 15 MW · 3 7 Oct 2021 · 36 MW · 4 8 Oct 2021 · 651 MW · 31 9 Oct 2021 · 839 MW · 44 10 Oct 2021 · 237 MW · 18 11 Oct 2021 · 35 MW · 12
3 Oct 6 Oct 9 Oct

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

The weather it burned in

39°high
49km/h · peak gust
13%lowest humidity

It had gone more than two months without rain (1 mm or more) when it started.

This area had burned before

11% of the perimeter overlaps earlier fires recorded since 2016: 491 ha in 2020. Part of it burned more than once, so the yearly figures add up to more than the 463 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 2.6% of the area of London (41 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. Brejo do Piauí 3,904 inhabitants
    3,257 ha reached on 7 Oct
    1.4 %
  2. João Costa 2,970 inhabitants where it started
    863 ha reached on 3 Oct
    0.5 %

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 area< 0.1 ha
Residents< 20

Inside the perimeter there was no noticeable 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)

Started with 60 days without rain: 55 % of the area in Brazil

Day High Min. humidity Peak gust Rain Danger (FWI)
3 Oct 36.9 °C 22 % 49 km/h 0.0 mm Very high 48
4 Oct 38.3 °C 17 % 40 km/h 0.0 mm Extreme 50
5 Oct 38.8 °C 17 % 42 km/h 0.0 mm Extreme 52
6 Oct 38.7 °C 13 % 41 km/h 0.0 mm Extreme 56
7 Oct 38.2 °C 16 % 40 km/h 0.0 mm Extreme 57
8 Oct 39.2 °C 19 % 43 km/h 0.0 mm Extreme 57
9 Oct 38.2 °C 19 % 39 km/h 0.0 mm Extreme 57
10 Oct 37.7 °C 24 % 45 km/h 0.0 mm Extreme 54
11 Oct 36.9 °C 26 % 31 km/h 0.4 mm Very high 43
12 Oct after 36.5 °C 30 % 25 km/h 0.3 mm High 36
13 Oct after 37.1 °C 28 % 31 km/h 0.1 mm Very high 40
14 Oct after 37.7 °C 24 % 44 km/h 0.0 mm Very high 49
15 Oct after 37.0 °C 26 % 44 km/h 0.0 mm Very high 47
16 Oct after 38.3 °C 21 % 48 km/h 0.0 mm Extreme 51
17 Oct after 38.2 °C 24 % 47 km/h 0.0 mm Extreme 50
18 Oct after 37.1 °C 24 % 47 km/h 0.0 mm Extreme 50
19 Oct after 36.4 °C 26 % 31 km/h 0.0 mm Very high 43
20 Oct after 34.3 °C 39 % 35 km/h 0.9 mm High 28
21 Oct after 33.1 °C 41 % 33 km/h 0.7 mm High 27

Its twins: fires that started in the same weather

It started with an FWI of 47.6, a minimum humidity of 22% and more than two months without rain. Fires in the area that started in weather like this since 2016: 16.

FWI at the start 47.6
Minimum humidity 22 %
Days without rain 60+
this fire chosen twins rest of the area
Almost identicalSimilar

Outlines of the closest twins

São João do Piauí fire, August 2020
3,012 ha 17 days FWI 46.3 Min. humidity 22 % 30 km away, in 2020

First rain (1 mm or more) after it ended: none in the following ten days.

What happened to them

13 days
median duration
3,650 ha
median area
6 %
went past 10,000 ha
4.0 mm
rain at the end (median; 3 of 16 had it)

It burned an area similar to its twins (4,094 ha against a median of 3,650 ha) and lasted 9 days, against 13 days.

In 13 of 16, not even 1 mm fell in the ten days after the end: they went out without rain. In the rest, the first rainy day brought a median of 4.0 mm.

This is a bank of analogues: it shows what usually happens, not what will happen. With fewer than 15 twins we give no figures. How we calculate it

How it ended

—first rain
—no rain in ten days
49km/h · max. gust

It was considered over on 11 Oct, and not even 1 mm fell in the following ten days: it went out without rain. Twins with rain when they ended: 3 of 16, with a median of 4.0 mm.

Weather on this page: Open-Meteo.com (CC BY 4.0) · Copernicus Climate Change Service (ERA5)

How a twin is chosen

  • Same area: fires that have already ended, less than 250 km from this one, since 2016.
  • Same start: we compare the FWI on the first day, the minimum humidity that day and the run of days without rain before it. The slider sets how much they may differ.
  • Only pages with final weather data (ERA5 reanalysis) calculated in the same way as this fire’s; agricultural and grass burns and pages with data under review are left out.
  • Fires burning at the same time as this one (a week before or after) are left out: they share the same spell of weather and do not count as a precedent.
  • They are sorted by similarity, and the outlines of the first five are drawn.

How we calculate it

Before and after, from space

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

Before · 26 Sept 2021
After · 18 Oct 2021

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 · 126Every 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 João Costa fire last?
GWIS (Copernicus) dates it between 3 October 2021 and 11 October 2021: 9 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 4,094 hectares (40.9 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Brejo do Piauí (3,257 ha, 1.4 %); João Costa (863 ha, 0.5 %).
What was the weather like?
During the fire the temperature reached 39.2 °C, humidity dropped to 13 % and gusts hit 49 km/h. The fire danger index (FWI) reached 57, 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.
How did the fires that started in similar weather in this area end?
Fires less than 250 km away that started since 2016 with a similar FWI, humidity and dry spell: 16. Their median duration was 13 days and their median area 3,650 ha; 6 % went past 10,000 ha. In 13 of 16, not even 1 mm fell in the ten days after the end: they went out without rain. In the rest, the first rainy day brought a median of 4.0 mm.

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 · 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.

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.

How we know this
  • Perimeter: GWIS (Copernicus), rebuilt from heat detections rather than mapped on imagery.
  • Dates from the perimeter: the VIIRS detections inside it did not change them. 126 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.