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Manyoni fire, 30 August 2025 Manyoni

Out · last detection 7 Sept 2025, 22:34 UTC

The fire started on 30 August 2025 in Manyoni, Tanzania, and satellites saw it burning for 9 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 4,781 hectares from heat detections, spread across a single municipality.

It is the 45th largest in Singida since 2016 (of 124 with a page). Number 72 in Tanzania in 2025, of 161.

Compare with…
Burnt area
4,781ha
GWIS perimeter (Copernicus)
Duration
9days
30 Aug 2025 – 7 Sept 2025
Municipalities hit
1
districts
Started on
30 Aug
2025
Heat detections
244
in a single hotspot: 62 MW
Danger at start
47
Very high · FWI index
Average daily power
205MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 30 Aug7 Sept
7 Sept 2025

How it evolved, day by day

30 Aug 2025 · 59 MW · 12 31 Aug 2025 · 195 MW · 23 1 Sept 2025 · 72 MW · 17 2 Sept 2025 · 14 MW · 3 3 Sept 2025 · 174 MW · 21 4 Sept 2025 · 791 MW · 65 5 Sept 2025 · 413 MW · 76 6 Sept 2025 · 36 MW · 11 7 Sept 2025 · 92 MW · 15
30 Aug 1 Sept 3 Sept 4 Sept 5 Sept 7 Sept

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

The weather it burned in

30°high
49km/h · peak gust
16%lowest humidity

It had gone more than two months without rain (1 mm or more) when it started.

This area had burned before

59% of the perimeter overlaps earlier fires recorded since 2016: 864 ha in 2016, 337 ha in 2017, 801 ha in 2018, 1,380 ha in 2019. Part of it burned more than once, so the yearly figures add up to more than the 2,830 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 3% of the area of London (48 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. Manyoni where it started
    4,817 ha reached on 29 Aug
    0.2 %

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 area0.43 ha
Residents< 20

Inside the perimeter there were about 0.43 hectares of built-up land and almost nobody lived there (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)
30 Aug 26.6 °C 25 % 49 km/h 0.0 mm Very high 47
31 Aug 27.6 °C 19 % 47 km/h 0.0 mm Very high 47
1 Sept 28.5 °C 19 % 39 km/h 0.0 mm Very high 42
2 Sept 27.9 °C 22 % 44 km/h 0.0 mm Very high 46
3 Sept 28.1 °C 25 % 45 km/h 0.0 mm Very high 47
4 Sept 28.3 °C 25 % 41 km/h 0.0 mm Very high 45
5 Sept 28.7 °C 18 % 45 km/h 0.0 mm Very high 46
6 Sept 29.7 °C 16 % 38 km/h 0.0 mm Very high 45
7 Sept 28.8 °C 21 % 44 km/h 0.0 mm Very high 49
8 Sept after 28.6 °C 24 % 46 km/h 0.0 mm Very high 49
9 Sept after 29.2 °C 31 % 53 km/h 0.0 mm Very high 48
10 Sept after 30.2 °C 24 % 42 km/h 0.0 mm Very high 44
11 Sept after 29.7 °C 21 % 45 km/h 0.0 mm Very high 46
12 Sept after 28.2 °C 20 % 45 km/h 0.0 mm Very high 46
13 Sept after 28.9 °C 17 % 45 km/h 0.0 mm Very high 48
14 Sept after 31.2 °C 19 % 35 km/h 0.0 mm Very high 42
15 Sept after 29.5 °C 31 % 39 km/h 0.0 mm Very high 42
16 Sept after 28.3 °C 33 % 37 km/h 0.0 mm Very high 38
17 Sept after 28.0 °C 34 % 37 km/h 0.1 mm High 37

Before and after, from space

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

Before · 23 Aug 2025
After · 14 Sept 2025

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 3 September 2025 the air beside the fire reached 27 µg/m³ of PM2.5. That day averaged 18: 1.2 times the WHO daily guideline (15).

PM2.5 peak27 µg/m³
Days over the guideline2 days
PM1027 µg/m³
Optical depth0.40
2829303112345678910
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 · 244Every 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 Tanzania ›

Frequently asked questions

How long did the Manyoni fire last?
GWIS (Copernicus) dates it between 30 August 2025 and 7 September 2025: 9 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 4,781 hectares (47.8 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Manyoni (4,817 ha, 0.2 %).
What was the weather like?
During the fire the temperature reached 29.7 °C, humidity dropped to 16 % and gusts hit 49 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 Tanzania (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: 112 · Emergency number and official warnings ›

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.

Report an error
What do you think is wrong?

We will only use your email to reply about this report. Privacy. This is not an emergency service: if there is a fire now, call 112.

How we know this
  • Perimeter: GWIS (Copernicus), rebuilt from heat detections rather than mapped on imagery.
  • Dates from the perimeter: the VIIRS detections inside it did not change them. 244 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.