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Furu-Awa fire, 17 November 2022 Furu-Awa, Misaje

Out · last detection 6 Dec 2022, 12:35 UTC

The fire started on 17 November 2022 in Furu-Awa, Cameroon, and satellites saw it burning for 20 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 4,375 hectares from heat detections, spread across 2 municipalities.

It is the 7th largest in North-West since 2016 (of 122 with a page). Number 10 in Cameroon in 2022, of 201.

Compare with…
Burnt area
4,375ha
GWIS perimeter (Copernicus)
Duration
20days
17 Nov 2022 – 6 Dec 2022
Municipalities hit
2
communes
Started on
17 Nov
2022
Heat detections
131
in a single hotspot: 35 MW
Danger at start
19
Moderate · FWI index
Average daily power
66MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 17 Nov6 Dec
6 Dec 2022

How it evolved, day by day

17 Nov 2022 · 27 MW · 3 18 Nov 2022 · 20 MW · 3 19 Nov 2022 · 20 MW · 2 20 Nov 2022 · 59 MW · 7 21 Nov 2022 · 6 MW · 1 22 Nov 2022 · 6 MW · 2 23 Nov 2022 · 16 MW · 4 24 Nov 2022 · 120 MW · 21 26 Nov 2022 · 297 MW · 29 27 Nov 2022 · 214 MW · 30 28 Nov 2022 · 45 MW · 3 30 Nov 2022 · 12 MW · 3 1 Dec 2022 · 34 MW · 9 5 Dec 2022 · 17 MW · 4 6 Dec 2022 · 105 MW · 10
17 Nov 20 Nov 23 Nov 26 Nov 27 Nov 1 Dec

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

The weather it burned in

31°high
38km/h · peak gust
27%lowest humidity

It had gone 28 days without rain (1 mm or more) when it started.

This area had burned before

82% of the perimeter overlaps earlier fires recorded since 2016: 1,815 ha in 2016, 1,049 ha in 2017, 2,498 ha in 2019, 1,655 ha in 2020. Part of it burned more than once, so the yearly figures add up to more than the 3,581 ha that had burned before.

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. Furu-Awa where it started
    3,748 ha reached on 17 Nov
    3.1 %
  2. 655 ha reached on 17 Nov
    0.8 %

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 2020
Built-up area< 0.1 ha
Residents< 20

Inside 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)
24 Nov 30.0 °C 28 % 38 km/h 0.0 mm Moderate 19
25 Nov 30.0 °C 29 % 36 km/h 0.0 mm Moderate 20
26 Nov 30.6 °C 28 % 32 km/h 0.0 mm Moderate 19
27 Nov 29.2 °C 29 % 30 km/h 0.0 mm Moderate 19
28 Nov 29.4 °C 28 % 33 km/h 0.0 mm Moderate 20
29 Nov 29.2 °C 27 % 31 km/h 0.0 mm Moderate 21
30 Nov 29.8 °C 31 % 27 km/h 0.0 mm Moderate 20
1 Dec 29.8 °C 33 % 30 km/h 0.0 mm Moderate 20
2 Dec 29.8 °C 30 % 37 km/h 0.0 mm High 23
3 Dec 31.4 °C 29 % 36 km/h 0.0 mm High 22
4 Dec 31.1 °C 34 % 38 km/h 0.0 mm High 23
5 Dec 31.1 °C 35 % 36 km/h 0.0 mm High 23
6 Dec 32.4 °C 26 % 36 km/h 0.0 mm High 24
7 Dec after 29.7 °C 29 % 32 km/h 0.0 mm High 24
8 Dec after 30.2 °C 27 % 32 km/h 0.0 mm High 26
9 Dec after 30.3 °C 28 % 35 km/h 0.0 mm High 26
10 Dec after 30.5 °C 25 % 35 km/h 0.0 mm High 26
11 Dec after 30.6 °C 28 % 33 km/h 0.0 mm High 27

Before and after, from space

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

Before · 10 Nov 2022
After · 13 Dec 2022

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 · Copernicus

On 28 November 2022 the air beside the fire reached 52 µg/m³ of PM2.5. That day averaged 38: 2.5 times the WHO daily guideline (15).

PM2.5 peak52 µg/m³
Days over the guideline13 days
PM1077 µg/m³
Optical depth0.50
2223242526272829301234
Good Fair Moderate Poor Very poor Extremely poor

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 · 131Every 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 Cameroon ›

Frequently asked questions

How long did the Furu-Awa fire last?
According to the heat detections seen by satellite inside the perimeter, it burned from 17 November 2022 to 6 December 2022 (20 days). The perimeter dates it from 24 November 2022 to 1 December 2022.
How much area did it burn?
The perimeter GWIS (Copernicus) rebuilt from heat detections is 4,375 hectares (43.8 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Furu-Awa (3,748 ha, 3.1 %); Misaje (655 ha, 0.8 %).
What was the weather like?
During the fire the temperature reached 30.6 °C, humidity dropped to 27 % and gusts hit 38 km/h. The fire danger index (FWI) reached 21, class Moderate.
Where does this data come from?
From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Cameroon (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 · 2 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
  1. Last day with fire: 1 December 2022 → 6 December 2022.
  2. Start date: 24 November 2022 → 17 November 2022.

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.

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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 24 November 2022 to 1 December 2022. 131 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.

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 ADM3 (Open Data Commons Open Database License 1.0). 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.