Matéri fire, 11 December 2022 Matéri, Tanguiéta
The fire started on 11 December 2022 in Matéri, Benin, and satellites saw it burning for 6 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 4,430 hectares from heat detections, spread across 2 municipalities.
It is the 83th largest in Atakora since 2016 (of 523 with a page). Number 19 in Benin in 2022, of 97.
Compare with…
- Burnt area
- 4,430ha
- GWIS perimeter (Copernicus)
- Duration
- 6days
- 11 Dec 2022 – 16 Dec 2022
- Municipalities hit
- 2
- communes
- Started on
- 11 Dec
- 2022
- Heat detections
- 136
- in a single hotspot: 74 MW
- Danger at start
- 49
- Very high · FWI index
- Average daily power
- 219MW
- 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 56 days without rain (1 mm or more) when it started.
This area had burned before
55% of the perimeter overlaps earlier fires recorded since 2016: 927 ha in 2017, 3,027 ha in 2019, 2,010 ha in 2020. Part of it burned more than once, so the yearly figures add up to more than the 2,415 ha that had burned before.
- 2,019 ha Matéri fire, January 2019 3,123 ha in total; the hectares shown are those it shares with this fire
- 1,961 ha Matéri fire, November 2020 2,448 ha in total; the hectares shown are those it shares with this fire
- 1,008 ha Tanguiéta fire, December 2019 2,891 ha in total; the hectares shown are those it shares with this fire
- 927 ha Matéri fire, November 2017 1,102 ha in total; the hectares shown are those it shares with this fire
- 33 ha Tanguiéta fire, December 2020 34,318 ha in total; the hectares shown are those it shares with this fire
- 16 ha Tanguiéta fire, February 2020 1,732 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
-
Matéri where it started2,924 ha reached on 11 Dec1.6 %
-
1,533 ha reached on 13 Dec0.3 %
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 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)
| Day | High | Min. humidity | Peak gust | Rain | Danger (FWI) |
|---|---|---|---|---|---|
| 11 Dec | 34.8 °C | 12 % | 34 km/h | 0.0 mm | Very high 49 |
| 12 Dec | 35.8 °C | 13 % | 32 km/h | 0.0 mm | Very high 47 |
| 13 Dec | 36.3 °C | 14 % | 31 km/h | 0.0 mm | Very high 47 |
| 14 Dec | 36.3 °C | 12 % | 29 km/h | 0.0 mm | Very high 46 |
| 15 Dec | 36.1 °C | 11 % | 27 km/h | 0.0 mm | Very high 46 |
| 16 Dec | 36.0 °C | 12 % | 28 km/h | 0.0 mm | Very high 47 |
| 17 Dec after | 34.1 °C | 16 % | 29 km/h | 0.0 mm | Very high 48 |
| 18 Dec after | 34.7 °C | 17 % | 38 km/h | 0.0 mm | Extreme 54 |
| 19 Dec after | 34.5 °C | 14 % | 40 km/h | 0.0 mm | Extreme 56 |
| 20 Dec after | 33.5 °C | 17 % | 39 km/h | 0.0 mm | Extreme 55 |
| 21 Dec after | 32.9 °C | 17 % | 41 km/h | 0.0 mm | Extreme 56 |
| 22 Dec after | 31.7 °C | 20 % | 41 km/h | 0.0 mm | Extreme 52 |
| 23 Dec after | 31.0 °C | 18 % | 38 km/h | 0.0 mm | Extreme 51 |
| 24 Dec after | 30.6 °C | 17 % | 38 km/h | 0.0 mm | Extreme 51 |
| 25 Dec after | 31.1 °C | 20 % | 39 km/h | 0.0 mm | Extreme 50 |
| 26 Dec after | 33.1 °C | 19 % | 35 km/h | 0.0 mm | Very high 48 |
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 16 December 2022 the air beside the fire reached 143 µg/m³ of PM2.5. That day averaged 81: 5.4 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 · 136Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 42,755 haTanguiéta22 November 2022 · 36 days · 15 km away
- 18,091 haTanguiéta2 December 2021 · 27 days · 18 km away
- 34,318 haTanguiéta13 December 2020 · 19 days · 22 km away
- 61,374 haTanguiéta18 December 2023 · 34 days · 24 km away
- 36,910 haTanguiéta27 November 2019 · 12 days · 40 km away
- 25,995 haTanguiéta29 December 2022 · 19 days · 40 km away
Frequently asked questions
- How long did the Matéri fire last?
- According to the heat detections seen by satellite inside the perimeter, it burned from 11 December 2022 to 16 December 2022 (6 days). The perimeter dates it from 12 December 2022 to 15 December 2022.
- How much area did it burn?
- The perimeter GWIS (Copernicus) rebuilt from heat detections is 4,430 hectares (44.3 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Matéri (2,924 ha, 1.6 %); Tanguiéta (1,533 ha, 0.3 %).
- What was the weather like?
- During the fire the temperature reached 36.3 °C, humidity dropped to 11 % and gusts hit 34 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 Benin (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.
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.
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.
- Dates adjusted with the VIIRS detections inside the perimeter, which said 12 December 2022 to 15 December 2022. 136 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 (Public Domain). 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.