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Floriano fire, June 2016 Floriano, Nazaré do Piauí

Out · last detection 30 Jul 2016, 15:54 UTC

The fire started on 27 June 2016 in Floriano, Brazil, and satellites saw it burning for 33 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 16,491 hectares from heat detections, spread across 2 municipalities.

It is the 42th largest in Piaui since 2016 (of 803 with a page). Number 33 in Brazil in 2016, of 649.

Burnt area
16,491ha
GWIS perimeter (Copernicus)
Duration
33days
27 Jun 2016 – 29 Jul 2016
Municipalities hit
2
municipalities
Started on
27 Jun
2016
Heat detections
737
in a single hotspot: 67 MW
Danger at start
42
Very high · FWI index
Energy released
4.2GW
sum of detected power

Where it burned

30 Jul 2016
HOTSPOTS BY DAY 27 Jun29 Jul

How it evolved, day by day

2728293012345678910111415161718192021222324252627282930

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

The weather it burned in

36°high
60km/h · peak gust
19%lowest humidity

It had gone 16 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. Floriano 62,036 inhabitants where it started
    16,283 ha reached on 27 Jun
    4.7 %
  2. Nazaré do Piauí 6,665 inhabitants
    316 ha reached on 25 Jul
    0.2 %

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)
27 Jun 32.0 °C 38 % 59 km/h 0.0 mm Very high 42
28 Jun 33.4 °C 31 % 49 km/h 0.0 mm Very high 44
29 Jun 33.4 °C 31 % 48 km/h 0.0 mm Very high 42
30 Jun 34.4 °C 27 % 49 km/h 0.0 mm Very high 46
1 Jul 33.7 °C 32 % 54 km/h 0.0 mm Very high 49
2 Jul 32.3 °C 37 % 55 km/h 0.0 mm Very high 46
3 Jul 34.3 °C 32 % 51 km/h 0.0 mm Very high 45
4 Jul 34.0 °C 30 % 48 km/h 0.0 mm Very high 44
5 Jul 34.4 °C 27 % 49 km/h 0.0 mm Very high 46
6 Jul 34.0 °C 32 % 45 km/h 0.0 mm Very high 44
7 Jul 35.8 °C 29 % 38 km/h 0.0 mm Very high 40
8 Jul 35.4 °C 32 % 35 km/h 0.0 mm High 37
9 Jul 35.0 °C 29 % 38 km/h 0.0 mm Very high 39
10 Jul 35.1 °C 27 % 41 km/h 0.0 mm Very high 43
11 Jul 34.8 °C 29 % 44 km/h 0.0 mm Very high 45
12 Jul 34.8 °C 29 % 40 km/h 0.0 mm Very high 42
13 Jul 35.6 °C 26 % 36 km/h 0.0 mm Very high 41
14 Jul 35.2 °C 27 % 43 km/h 0.0 mm Very high 45
15 Jul 35.6 °C 24 % 44 km/h 0.0 mm Very high 46
16 Jul 35.8 °C 24 % 40 km/h 0.0 mm Very high 45
17 Jul 36.4 °C 24 % 30 km/h 0.0 mm Very high 40
18 Jul 36.2 °C 32 % 24 km/h 0.2 mm High 35
19 Jul 36.0 °C 23 % 37 km/h 0.0 mm Very high 42
20 Jul 34.8 °C 20 % 46 km/h 0.0 mm Extreme 51
21 Jul 35.2 °C 20 % 42 km/h 0.0 mm Very high 48
22 Jul 35.6 °C 19 % 42 km/h 0.0 mm Very high 48
23 Jul 34.7 °C 22 % 45 km/h 0.0 mm Extreme 52
24 Jul 34.2 °C 23 % 50 km/h 0.0 mm Extreme 55
25 Jul 34.7 °C 25 % 49 km/h 0.0 mm Extreme 55
26 Jul 34.1 °C 25 % 51 km/h 0.0 mm Extreme 55
27 Jul 33.9 °C 25 % 45 km/h 0.0 mm Extreme 52
28 Jul 34.8 °C 28 % 45 km/h 0.0 mm Extreme 50
29 Jul 34.7 °C 30 % 54 km/h 0.0 mm Extreme 55
30 Jul after 33.4 °C 28 % 52 km/h 0.0 mm Extreme 53
31 Jul after 33.7 °C 21 % 60 km/h 0.0 mm Extreme 58
1 Aug after 33.7 °C 30 % 53 km/h 0.0 mm Extreme 53
2 Aug after 34.4 °C 27 % 48 km/h 0.0 mm Extreme 51
3 Aug after 35.5 °C 21 % 44 km/h 0.0 mm Very high 49
4 Aug after 34.8 °C 15 % 53 km/h 0.0 mm Extreme 59
5 Aug after 35.0 °C 24 % 48 km/h 0.0 mm Extreme 55
6 Aug after 35.4 °C 23 % 45 km/h 0.0 mm Extreme 55
7 Aug after 36.1 °C 21 % 44 km/h 0.0 mm Extreme 53
8 Aug after 36.3 °C 24 % 42 km/h 0.0 mm Extreme 52
9 Aug after 36.5 °C 23 % 44 km/h 0.0 mm Extreme 53
10 Aug after 37.9 °C 23 % 35 km/h 0.0 mm Very high 50

Before and after, from space

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

Before · 20 Jun 2016
After · 5 Aug 2016

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 · 737Every 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 Floriano fire last?
GWIS (Copernicus) dates it between 27 June 2016 and 29 July 2016: 33 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 16,491 hectares (164.9 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Floriano (16,283 ha, 4.7 %); Nazaré do Piauí (316 ha, 0.2 %).
What was the weather like?
During the fire the temperature reached 36.4 °C, humidity dropped to 19 % and gusts hit 60 km/h. The fire danger index (FWI) reached 58, 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.