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Feliz Natal fire, June 2017 Feliz Natal

Out · last detection 14 Jul 2017, 16:49 UTC

The fire started on 6 June 2017 in Feliz Natal, Brazil, and satellites saw it burning for 39 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 4,439 hectares from heat detections, spread across a single municipality.

It is the 1250th largest in Mato Grosso since 2016 (of 1996 with a page). Number 557 in Brazil in 2017, of 994.

Compare with…

Suggestions: Feliz Natal · 2021Nova Ubiratã · 2022Feliz Natal · 2023Santa Carmem · 2026

Burnt area
4,439ha
GWIS perimeter (Copernicus)
Duration
39days
6 Jun 2017 – 14 Jul 2017
Municipalities hit
1
municipalities
Started on
6 Jun
2017
Heat detections
1,126
in a single hotspot: 279 MW
Danger at start
19
Moderate · FWI index
Average daily power
313MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 6 Jun14 Jul
14 Jul 2017

How it evolved, day by day

6 Jun 2017 · 32 MW · 3 7 Jun 2017 · 158 MW · 24 8 Jun 2017 · 251 MW · 39 9 Jun 2017 · 130 MW · 20 10 Jun 2017 · 228 MW · 26 11 Jun 2017 · 44 MW · 17 12 Jun 2017 · 100 MW · 13 13 Jun 2017 · 130 MW · 33 14 Jun 2017 · 137 MW · 20 15 Jun 2017 · 263 MW · 40 16 Jun 2017 · 431 MW · 42 17 Jun 2017 · 342 MW · 55 18 Jun 2017 · 270 MW · 43 19 Jun 2017 · 310 MW · 29 20 Jun 2017 · 327 MW · 39 21 Jun 2017 · 273 MW · 40 22 Jun 2017 · 282 MW · 24 23 Jun 2017 · 1,167 MW · 60 24 Jun 2017 · 471 MW · 27 25 Jun 2017 · 34 MW · 11 26 Jun 2017 · 649 MW · 22 27 Jun 2017 · 3,605 MW · 93 28 Jun 2017 · 67 MW · 17 29 Jun 2017 · 228 MW · 37 30 Jun 2017 · 37 MW · 26 1 Jul 2017 · 151 MW · 37 2 Jul 2017 · 14 MW · 13 3 Jul 2017 · 163 MW · 11 4 Jul 2017 · 108 MW · 23 5 Jul 2017 · 317 MW · 47 6 Jul 2017 · 145 MW · 24 7 Jul 2017 · 197 MW · 28 8 Jul 2017 · 118 MW · 23 9 Jul 2017 · 133 MW · 21 10 Jul 2017 · 225 MW · 22 11 Jul 2017 · 131 MW · 22 12 Jul 2017 · 201 MW · 15 13 Jul 2017 · 278 MW · 30 14 Jul 2017 · 43 MW · 10
6 Jun 12 Jun 18 Jun 24 Jun 27 Jun 30 Jun 6 Jul 12 Jul

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
41km/h · peak gust
25%lowest humidity

It had gone 14 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.

How big is it?

10 km
It burned the equivalent of 2.8% of the area of London (44 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. Feliz Natal 10,521 inhabitants where it started
    4,469 ha reached on 6 Jun
    0.4 %

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 2015
Built-up area< 0.1 ha
Residents< 20

Inside the perimeter there was no noticeable built-up land and almost nobody lived there (GHSL 2015, 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)
6 Jun 33.4 °C 40 % 33 km/h 0.0 mm Moderate 19
7 Jun 33.6 °C 35 % 33 km/h 0.0 mm High 23
8 Jun 33.2 °C 34 % 30 km/h 0.0 mm High 22
9 Jun 33.3 °C 33 % 27 km/h 0.0 mm High 26
10 Jun 30.8 °C 45 % 28 km/h 0.0 mm High 24
11 Jun 31.9 °C 37 % 23 km/h 0.0 mm Moderate 21
12 Jun 33.4 °C 35 % 24 km/h 0.0 mm High 22
13 Jun 33.6 °C 34 % 30 km/h 0.0 mm High 25
14 Jun 33.6 °C 33 % 34 km/h 0.0 mm High 27
15 Jun 33.3 °C 34 % 32 km/h 0.0 mm High 28
16 Jun 32.7 °C 31 % 41 km/h 0.0 mm High 31
17 Jun 32.0 °C 37 % 33 km/h 0.0 mm High 28
18 Jun 32.1 °C 38 % 22 km/h 0.0 mm High 27
19 Jun 31.5 °C 31 % 20 km/h 0.0 mm High 28
20 Jun 30.1 °C 39 % 26 km/h 0.0 mm High 28
21 Jun 31.5 °C 35 % 29 km/h 0.0 mm High 29
22 Jun 32.3 °C 30 % 32 km/h 0.0 mm High 31
23 Jun 31.2 °C 31 % 35 km/h 0.0 mm High 32
24 Jun 31.4 °C 35 % 35 km/h 0.0 mm High 33
25 Jun 31.8 °C 34 % 28 km/h 0.0 mm High 31
26 Jun 31.2 °C 28 % 36 km/h 0.0 mm High 33
27 Jun 31.5 °C 34 % 31 km/h 0.0 mm High 31
28 Jun 30.8 °C 33 % 31 km/h 0.0 mm High 31
29 Jun 31.6 °C 35 % 26 km/h 0.0 mm High 31
30 Jun 31.3 °C 39 % 31 km/h 0.0 mm High 31
1 Jul 32.7 °C 25 % 32 km/h 0.0 mm High 34
2 Jul 31.4 °C 34 % 30 km/h 0.0 mm High 34
3 Jul 31.4 °C 31 % 27 km/h 0.0 mm High 34
4 Jul 31.2 °C 36 % 36 km/h 0.0 mm High 35
5 Jul 30.3 °C 35 % 37 km/h 0.0 mm High 35
6 Jul 29.7 °C 36 % 32 km/h 0.0 mm High 32
7 Jul 30.8 °C 37 % 28 km/h 0.0 mm High 31
8 Jul 31.7 °C 36 % 30 km/h 0.0 mm High 31
9 Jul 31.3 °C 34 % 36 km/h 0.0 mm High 33
10 Jul 30.8 °C 32 % 38 km/h 0.0 mm High 34
11 Jul 31.1 °C 34 % 36 km/h 0.0 mm High 34
12 Jul 31.5 °C 38 % 29 km/h 0.0 mm High 32
13 Jul 32.3 °C 32 % 33 km/h 0.0 mm High 32
14 Jul 31.5 °C 30 % 36 km/h 0.0 mm High 33
15 Jul after 31.1 °C 32 % 36 km/h 0.0 mm High 34
16 Jul after 31.4 °C 29 % 30 km/h 0.0 mm High 32
17 Jul after 29.6 °C 31 % 28 km/h 0.0 mm High 36
18 Jul after 25.7 °C 43 % 36 km/h 0.0 mm High 31
19 Jul after 28.4 °C 39 % 28 km/h 0.0 mm High 29
20 Jul after 31.6 °C 36 % 26 km/h 0.0 mm High 27
21 Jul after 32.9 °C 31 % 31 km/h 0.0 mm High 30
22 Jul after 33.4 °C 31 % 29 km/h 0.0 mm High 31
23 Jul after 34.1 °C 27 % 31 km/h 0.0 mm High 35
24 Jul after 33.2 °C 28 % 37 km/h 0.0 mm High 38

Before and after, from space

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

Before · 30 May 2017
After · 21 Jul 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 · 1,126Every 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 Feliz Natal fire last?
GWIS (Copernicus) dates it between 6 June 2017 and 14 July 2017: 39 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 4,439 hectares (44.4 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Feliz Natal (4,469 ha, 0.4 %).
What was the weather like?
During the fire the temperature reached 33.6 °C, humidity dropped to 25 % and gusts hit 41 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 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 · 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 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. 1,126 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 2015, 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.