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Manono fire, 9 June 2026 Manono

Out · last detection 9 Jul 2026, 11:19 UTC

The fire started on 9 June 2026 in Manono, Democratic Republic of the Congo, and satellites saw it burning for 30 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 12,781 hectares from heat detections, spread across a single municipality.

It is the 18th largest in Tanganyika since 2016 (of 232 with a page). Number 127 in Democratic Republic of the Congo in 2026, of 523.

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Suggestions: Manono · 2026Manono · 2026

Burnt area
12,781ha
GWIS perimeter (Copernicus)
Duration
30days
9 Jun 2026 – 8 Jul 2026
Municipalities hit
1
territories
Started on
9 Jun
2026
Heat detections
426
in a single hotspot: 95 MW
Danger at start
29
High · FWI index
Average daily power
108MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 9 Jun8 Jul
9 Jul 2026

How it evolved, day by day

9 Jun 2026 · 31 MW · 4 11 Jun 2026 · 83 MW · 12 12 Jun 2026 · 109 MW · 15 13 Jun 2026 · 41 MW · 7 14 Jun 2026 · 23 MW · 5 15 Jun 2026 · 269 MW · 31 16 Jun 2026 · 38 MW · 8 17 Jun 2026 · 225 MW · 12 18 Jun 2026 · 71 MW · 14 19 Jun 2026 · 103 MW · 13 20 Jun 2026 · 89 MW · 15 21 Jun 2026 · 219 MW · 25 22 Jun 2026 · 313 MW · 42 23 Jun 2026 · 3 MW · 2 24 Jun 2026 · 21 MW · 3 25 Jun 2026 · 70 MW · 7 26 Jun 2026 · 170 MW · 26 27 Jun 2026 · 188 MW · 29 28 Jun 2026 · 96 MW · 18 29 Jun 2026 · 43 MW · 10 30 Jun 2026 · 50 MW · 10 1 Jul 2026 · 191 MW · 23 2 Jul 2026 · 136 MW · 14 3 Jul 2026 · 89 MW · 13 4 Jul 2026 · 46 MW · 11 5 Jul 2026 · 390 MW · 21 6 Jul 2026 · 43 MW · 12 7 Jul 2026 · 40 MW · 8 8 Jul 2026 · 40 MW · 8 9 Jul 2026 · 4 MW · 1
9 Jun 15 Jun 20 Jun 25 Jun 30 Jun 5 Jul

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

The weather it burned in

35°high
42km/h · peak gust
18%lowest humidity

It had gone 22 days without rain (1 mm or more) when it started.

This area had burned before

36% of the perimeter overlaps earlier fires recorded since 2016: 1,651 ha in 2016, 240 ha in 2017, 178 ha in 2019, 1 ha in 2022, 949 ha in 2023, 2,814 ha in 2025. Part of it burned more than once, so the yearly figures add up to more than the 4,565 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 8.1% of the area of London (128 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. Manono where it started
    12,862 ha reached on 3 Jun
    0.4 %

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 2025
Built-up area1.9 ha
Residents≈ 1,200

Inside the perimeter there were about 1.9 hectares of built-up land and about 1,200 residents (GHSL 2025, 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. The GHSL 2025 epoch is a projection made from 2020 and earlier data.

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)
3 Jun 33.5 °C 32 % 32 km/h 0.0 mm High 29
4 Jun 34.5 °C 30 % 29 km/h 0.0 mm High 29
5 Jun 34.4 °C 31 % 24 km/h 0.0 mm High 28
6 Jun 33.8 °C 36 % 17 km/h 0.0 mm High 27
7 Jun 32.4 °C 39 % 29 km/h 0.1 mm High 30
8 Jun 32.7 °C 36 % 39 km/h 0.0 mm High 32
9 Jun 33.5 °C 33 % 36 km/h 0.0 mm High 31
10 Jun 34.0 °C 30 % 33 km/h 0.0 mm High 32
11 Jun 34.0 °C 28 % 37 km/h 0.0 mm High 34
12 Jun 33.1 °C 29 % 38 km/h 0.0 mm High 35
13 Jun 33.1 °C 28 % 34 km/h 0.0 mm High 35
14 Jun 34.0 °C 26 % 34 km/h 0.0 mm High 37
15 Jun 33.5 °C 29 % 34 km/h 0.0 mm High 35
16 Jun 32.7 °C 31 % 32 km/h 0.0 mm High 36
17 Jun 33.6 °C 27 % 31 km/h 0.0 mm High 35
18 Jun 33.6 °C 26 % 34 km/h 0.0 mm High 36
19 Jun 33.6 °C 28 % 29 km/h 0.0 mm High 36
20 Jun 33.5 °C 28 % 41 km/h 0.0 mm Very high 40
21 Jun 32.1 °C 29 % 39 km/h 0.0 mm Very high 40
22 Jun 32.5 °C 23 % 37 km/h 0.0 mm Very high 39
23 Jun 33.0 °C 23 % 29 km/h 0.0 mm High 36
24 Jun 33.5 °C 21 % 31 km/h 0.0 mm Very high 38
25 Jun 33.5 °C 25 % 31 km/h 0.0 mm Very high 43
26 Jun 33.7 °C 26 % 37 km/h 0.0 mm Very high 43
27 Jun 32.8 °C 18 % 39 km/h 0.0 mm Very high 45
28 Jun 33.0 °C 20 % 32 km/h 0.0 mm Very high 41
29 Jun 33.1 °C 21 % 35 km/h 0.0 mm Very high 43
30 Jun 34.3 °C 23 % 33 km/h 0.0 mm Very high 42
1 Jul 34.0 °C 25 % 31 km/h 0.0 mm Very high 42
2 Jul 35.0 °C 21 % 29 km/h 0.0 mm Very high 41
3 Jul 35.1 °C 19 % 32 km/h 0.0 mm Very high 45
4 Jul 34.6 °C 19 % 42 km/h 0.0 mm Very high 47
5 Jul 33.5 °C 24 % 37 km/h 0.0 mm Very high 46
6 Jul 32.7 °C 25 % 39 km/h 0.0 mm Very high 46
7 Jul 32.5 °C 27 % 41 km/h 0.0 mm Very high 45
8 Jul 33.2 °C 28 % 38 km/h 0.0 mm Very high 43
9 Jul after 34.0 °C 25 % 29 km/h 0.0 mm Very high 39
10 Jul after 34.8 °C 22 % 27 km/h 0.0 mm Very high 40
11 Jul after 34.4 °C 23 % 19 km/h 0.0 mm Very high 41
12 Jul after 33.5 °C 27 % 21 km/h 0.0 mm High 38
13 Jul after 33.6 °C 28 % 31 km/h 0.0 mm Very high 39
14 Jul after 33.5 °C 30 % 37 km/h 0.0 mm Very high 42
15 Jul after 32.9 °C 30 % 38 km/h 0.0 mm Very high 42
16 Jul after 32.6 °C 22 % 44 km/h 0.0 mm Very high 45
17 Jul after 32.6 °C 20 % 42 km/h 0.0 mm Very high 45
18 Jul after 33.3 °C 20 % 37 km/h 0.0 mm Very high 43
19 Jul after 32.8 °C 23 % 27 km/h 0.0 mm Very high 39
20 Jul after 33.7 °C 24 % 24 km/h 0.0 mm Very high 40

Before and after, from space

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

Before · 2 Jun 2026
After · 15 Jul 2026

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 9 July 2026 the air beside the fire reached 78 µg/m³ of PM2.5. That day averaged 54: 3.6 times the WHO daily guideline (15).

PM2.5 peak78 µg/m³
Days over the guideline23 days
PM1083 µg/m³
Optical depth0.91
7891011121314151617181920212223242526272829301234567891011
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 · 426Every 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 Democratic Republic of the Congo ›

Frequently asked questions

How long did the Manono fire last?
GWIS (Copernicus) dates it between 9 June 2026 and 8 July 2026: 30 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 12,781 hectares (127.8 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Manono (12,862 ha, 0.4 %).
What was the weather like?
During the fire the temperature reached 35.1 °C, humidity dropped to 18 % and gusts hit 42 km/h. The fire danger index (FWI) reached 47, class Very high.
Where does this data come from?
From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Democratic Republic of the Congo (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.

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; 2 polygons grouped in this page.
  • Dates from the perimeter: the VIIRS detections inside it did not change them. 426 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 2025, 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 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.