Bannach fire, 17 August 2022 Bannach, Cumaru do Norte, Ourilândia do Norte
The fire started on 17 August 2022 in Bannach, Brazil, and satellites saw it burning for 28 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 28,956 hectares from heat detections, spread across 3 municipalities.
It is the 63th largest in Pará since 2016 (of 1098 with a page). Number 15 in Brazil in 2022, of 687.
Compare with…
- Burnt area
- 28,956ha
- GWIS perimeter (Copernicus)
- Duration
- 28days
- 17 Aug 2022 – 13 Sept 2022
- Municipalities hit
- 3
- municipalities
- Started on
- 17 Aug
- 2022
- Heat detections
- 1,316
- in a single hotspot: 84 MW
- Danger at start
- 41
- Very high · FWI index
- Average daily power
- 300MW
- detected power per day, on average
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 more than two months without rain (1 mm or more) when it started. Rain came after the fire: 4.1 mm on 21 Sept.
This area had burned before
78% of the perimeter overlaps earlier fires recorded since 2016: 12,075 ha in 2017, 6,672 ha in 2019, 14,314 ha in 2020. Part of it burned more than once, so the yearly figures add up to more than the 22,523 ha that had burned before.
- 6,592 ha Bannach fire, September 2020 12,405 ha in total; the hectares shown are those it shares with this fire
- 5,562 ha Cumaru do Norte fire, September 2017 9,594 ha in total; the hectares shown are those it shares with this fire
- 4,409 ha Bannach fire, August 2020 36,268 ha in total; the hectares shown are those it shares with this fire
- 1,973 ha Bannach fire, August 2017 3,353 ha in total; the hectares shown are those it shares with this fire
- 1,013 ha Bannach fire, August 2019 9,464 ha in total; the hectares shown are those it shares with this fire
How big is it?
London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).
Paris boundary: geoBoundaries · Institut national de l'information géographique et forestière (IGN-F) (Etalab Open License 2.0).
Madrid boundary: geoBoundaries · Open Data ESRI, IGN Central Registry of Cartography Area (CC BY 4.0).
Berlin boundary: geoBoundaries · Federal Agency for Cartography and Geodesy (dl-de/by-2-0).
This compares size, not location: both shapes are at the same scale, north up, centred on each other.
What happened to each town
-
25,947 ha reached on 17 Aug8.7 %
-
Cumaru do Norte 14,036 inhabitants3,124 ha reached on 2 Sept0.2 %
-
Ourilândia do Norte 32,467 inhabitants64 ha reached on 12 Sept0.0 %
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 2020Inside the perimeter there were about 2.1 hectares of built-up land and about 200 residents (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)
| Day | High | Min. humidity | Peak gust | Rain | Danger (FWI) |
|---|---|---|---|---|---|
| 17 Aug | 34.9 °C | 22 % | 35 km/h | 0.0 mm | Very high 41 |
| 18 Aug | 34.8 °C | 27 % | 28 km/h | 0.0 mm | High 35 |
| 19 Aug | 35.1 °C | 25 % | 32 km/h | 0.0 mm | Very high 39 |
| 20 Aug | 35.6 °C | 20 % | 34 km/h | 0.0 mm | Very high 41 |
| 21 Aug | 33.5 °C | 22 % | 44 km/h | 0.0 mm | Very high 49 |
| 22 Aug | 32.2 °C | 25 % | 35 km/h | 0.0 mm | Very high 43 |
| 23 Aug | 33.9 °C | 25 % | 34 km/h | 0.0 mm | Very high 43 |
| 24 Aug | 34.9 °C | 26 % | 29 km/h | 0.0 mm | Very high 41 |
| 25 Aug | 34.8 °C | 30 % | 30 km/h | 0.0 mm | Very high 40 |
| 26 Aug | 33.5 °C | 34 % | 35 km/h | 0.0 mm | High 38 |
| 27 Aug | 34.2 °C | 27 % | 36 km/h | 0.0 mm | High 37 |
| 28 Aug | 35.1 °C | 22 % | 37 km/h | 0.0 mm | Very high 42 |
| 29 Aug | 35.7 °C | 17 % | 33 km/h | 0.0 mm | Very high 44 |
| 30 Aug | 35.6 °C | 22 % | 30 km/h | 0.0 mm | Very high 43 |
| 31 Aug | 33.7 °C | 29 % | 34 km/h | 0.0 mm | Very high 43 |
| 1 Sept | 34.6 °C | 22 % | 44 km/h | 0.0 mm | Very high 47 |
| 2 Sept | 34.3 °C | 21 % | 41 km/h | 0.0 mm | Very high 44 |
| 3 Sept | 35.8 °C | 20 % | 32 km/h | 0.0 mm | Very high 42 |
| 4 Sept | 36.2 °C | 21 % | 29 km/h | 0.0 mm | Very high 41 |
| 5 Sept | 35.5 °C | 30 % | 34 km/h | 0.0 mm | Very high 42 |
| 6 Sept | 34.1 °C | 38 % | 33 km/h | 0.2 mm | High 36 |
| 7 Sept | 34.0 °C | 32 % | 35 km/h | 0.0 mm | High 36 |
| 8 Sept | 34.3 °C | 31 % | 34 km/h | 0.0 mm | High 37 |
| 9 Sept | 33.9 °C | 33 % | 33 km/h | 0.0 mm | High 35 |
| 10 Sept | 36.1 °C | 25 % | 25 km/h | 0.0 mm | High 36 |
| 11 Sept | 36.6 °C | 24 % | 20 km/h | 0.0 mm | High 35 |
| 12 Sept | 33.9 °C | 36 % | 33 km/h | 0.0 mm | High 37 |
| 13 Sept | 34.6 °C | 32 % | 30 km/h | 0.0 mm | High 38 |
| 14 Sept after | 34.4 °C | 36 % | 32 km/h | 0.1 mm | High 35 |
| 15 Sept after | 35.1 °C | 32 % | 18 km/h | 0.0 mm | High 32 |
| 16 Sept after | 32.7 °C | 44 % | 24 km/h | 0.1 mm | High 29 |
| 17 Sept after | 34.1 °C | 43 % | 33 km/h | 0.3 mm | High 31 |
| 18 Sept after | 32.9 °C | 43 % | 36 km/h | 0.2 mm | High 32 |
| 19 Sept after | 34.4 °C | 33 % | 29 km/h | 0.1 mm | High 33 |
| 20 Sept after | 34.3 °C | 36 % | 22 km/h | 0.0 mm | High 29 |
| 21 Sept after | 30.7 °C | 54 % | 34 km/h | 4.1 mm | Low 7 |
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 5 September 2022 the air beside the fire reached 272 µg/m³ of PM2.5. That day averaged 96: 6.4 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 · 1,316Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 27,202 haBannachJuly 2024 · 19 days · 12 km away
- 36,268 haBannachAugust 2020 · 23 days · 15 km away
- 17,696 haCumaru do Norte25 August 2017 · 32 days · 18 km away
- 27,839 haBannach18 August 2024 · 36 days · 22 km away
- 59,116 haCumaru do Norte14 August 2024 · 41 days · 28 km away
- 26,430 haCumaru do NorteAugust 2020 · 20 days · 31 km away
Frequently asked questions
- How long did the Bannach fire last?
- According to the heat detections seen by satellite inside the perimeter, it burned from 17 August 2022 to 13 September 2022 (28 days). The perimeter dates it from 22 August 2022 to 12 September 2022.
- How much area did it burn?
- The perimeter GWIS (Copernicus) rebuilt from heat detections is 28,956 hectares (289.6 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 3 municipalities: Bannach (25,947 ha, 8.7 %); Cumaru do Norte (3,124 ha, 0.2 %); Ourilândia do Norte (64 ha, 0.0 %).
- What was the weather like?
- During the fire the temperature reached 36.6 °C, humidity dropped to 17 % and gusts hit 44 km/h. The fire danger index (FWI) reached 49, class Very 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 · 2 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
- Last day with fire: 12 September 2022 → 13 September 2022.
- Start date: 22 August 2022 → 17 August 2022.
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
How we know this
- Perimeter: GWIS (Copernicus), rebuilt from heat detections rather than mapped on imagery; 2 polygons grouped in this page.
- Dates adjusted with the VIIRS detections inside the perimeter, which said 22 August 2022 to 12 September 2022. 1,316 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.
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.