Ipixuna do Pará fire, September 2023 Tailândia, Ipixuna do Pará
The fire started on 17 September 2023 in Ipixuna do Pará, Brazil, and satellites saw it burning for 23 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 5,249 hectares from heat detections, spread across 2 municipalities.
It is the 488th largest in Pará since 2016 (of 1095 with a page). Number 155 in Brazil in 2023, of 431.
- Burnt area
- 5,249ha
- GWIS perimeter (Copernicus)
- Duration
- 23days
- 17 Sept 2023 – 9 Oct 2023
- Municipalities hit
- 2
- municipalities
- Started on
- 17 Sept
- 2023
- Heat detections
- 363
- in a single hotspot: 103 MW
- Danger at start
- 27
- High · FWI index
- Energy released
- 2.7GW
- sum of detected power
Where it burned
How it evolved, day by day
Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.
The weather it burned in
It had gone 41 days without rain (1 mm or more) when it started. Rain came after the fire: 2.4 mm on 16 Oct.
This area had burned before
54% of the perimeter overlaps earlier fires recorded since 2016: 51 ha in 2017, 2,846 ha in 2020.
What happened to each town
-
Tailândia 72,493 inhabitants4,710 ha reached on 12 Sept1.1 %
-
Ipixuna do Pará where it started577 ha reached on 10 Sept0.1 %
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) |
|---|---|---|---|---|---|
| 10 Sept | 34.6 °C | 46 % | 41 km/h | 0.2 mm | High 27 |
| 11 Sept | 34.7 °C | 45 % | 37 km/h | 0.1 mm | High 30 |
| 12 Sept | 34.6 °C | 46 % | 35 km/h | 0.0 mm | High 29 |
| 13 Sept | 35.6 °C | 39 % | 33 km/h | 0.0 mm | High 29 |
| 14 Sept | 33.4 °C | 53 % | 31 km/h | 0.0 mm | High 27 |
| 15 Sept | 35.8 °C | 43 % | 34 km/h | 0.4 mm | High 26 |
| 16 Sept | 34.6 °C | 47 % | 37 km/h | 0.1 mm | High 29 |
| 17 Sept | 35.0 °C | 42 % | 41 km/h | 0.0 mm | High 31 |
| 18 Sept | 35.5 °C | 42 % | 33 km/h | 0.0 mm | High 28 |
| 19 Sept | 35.5 °C | 45 % | 31 km/h | 0.0 mm | High 27 |
| 20 Sept | 34.9 °C | 49 % | 30 km/h | 0.0 mm | High 27 |
| 21 Sept | 34.7 °C | 50 % | 32 km/h | 0.1 mm | High 28 |
| 22 Sept | 33.9 °C | 47 % | 36 km/h | 0.1 mm | High 27 |
| 23 Sept | 35.6 °C | 44 % | 37 km/h | 0.0 mm | High 29 |
| 24 Sept | 35.6 °C | 44 % | 36 km/h | 0.0 mm | High 28 |
| 25 Sept | 36.5 °C | 40 % | 31 km/h | 0.0 mm | High 28 |
| 26 Sept | 35.8 °C | 42 % | 29 km/h | 0.0 mm | High 31 |
| 27 Sept | 36.3 °C | 42 % | 26 km/h | 0.1 mm | High 29 |
| 28 Sept | 35.2 °C | 45 % | 32 km/h | 0.0 mm | High 30 |
| 29 Sept | 36.7 °C | 37 % | 31 km/h | 0.0 mm | High 32 |
| 30 Sept | 37.0 °C | 35 % | 26 km/h | 0.0 mm | High 32 |
| 1 Oct | 35.6 °C | 44 % | 28 km/h | 0.0 mm | High 31 |
| 2 Oct | 35.8 °C | 44 % | 33 km/h | 0.0 mm | High 32 |
| 3 Oct | 35.7 °C | 44 % | 34 km/h | 0.0 mm | High 33 |
| 4 Oct | 34.6 °C | 47 % | 37 km/h | 0.1 mm | High 32 |
| 5 Oct | 35.7 °C | 43 % | 34 km/h | 0.0 mm | High 31 |
| 6 Oct | 35.1 °C | 42 % | 33 km/h | 0.0 mm | High 33 |
| 7 Oct | 34.5 °C | 45 % | 30 km/h | 0.2 mm | High 30 |
| 8 Oct | 35.0 °C | 49 % | 41 km/h | 0.1 mm | High 29 |
| 9 Oct | 35.4 °C | 44 % | 34 km/h | 0.0 mm | High 30 |
| 10 Oct after | 34.4 °C | 48 % | 36 km/h | 0.3 mm | High 31 |
| 11 Oct after | 33.4 °C | 52 % | 36 km/h | 0.6 mm | High 24 |
| 12 Oct after | 34.6 °C | 48 % | 28 km/h | 0.1 mm | High 25 |
| 13 Oct after | 35.7 °C | 41 % | 29 km/h | 0.3 mm | High 27 |
| 14 Oct after | 37.1 °C | 42 % | 30 km/h | 0.5 mm | High 28 |
| 15 Oct after | 35.8 °C | 42 % | 28 km/h | 0.2 mm | High 29 |
| 16 Oct after | 34.7 °C | 50 % | 28 km/h | 2.4 mm | Low 11 |
Before and after, from space
Drag the line to compare the same ground before the fire and after it.
If the day is cloudy, change the date: each satellite passes once a day. In false colour the burnt ground looks brown or red.
The smoke
CAMS · CopernicusOn 12 October 2023 the air beside the fire reached 54 µg/m³ of PM2.5. That day averaged 26: 1.7 times the WHO daily guideline (15).
Particles from the Copernicus CAMS model at the centre of the perimeter; these are not measurements in each town. The pale bar is the worst hour, the solid one the daily average.
Open-Meteo.com (CC BY 4.0) · Copernicus Atmosphere Monitoring Service (CAMS)
Detections table · 363Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
Frequently asked questions
- How long did the Ipixuna do Pará fire last?
- GWIS (Copernicus) dates it between 17 September 2023 and 9 October 2023: 23 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 5,249 hectares (52.5 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Tailândia (4,710 ha, 1.1 %); Ipixuna do Pará (577 ha, 0.1 %).
- What was the weather like?
- During the fire the temperature reached 37.0 °C, humidity dropped to 35 % and gusts hit 41 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
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.