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Mlele fire, October 2025 Mlele

Out · last detection 25 Oct 2025, 11:31 UTC

The fire started on 21 October 2025 in Mlele, Tanzania, and satellites saw it burning for 5 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 3,717 hectares from heat detections, spread across a single municipality.

It is the 180th largest in Katavi since 2016 (of 271 with a page). Number 106 in Tanzania in 2025, of 161.

The power measured by the satellite is low (28.1 MW in the strongest hotspot), more typical of grass or stubble burning, or a slow surface fire, than of a large crown fire.

Burnt area
3,717ha
GWIS perimeter (Copernicus)
Duration
5days
21 Oct 2025 – 25 Oct 2025
Municipalities hit
1
districts
Started on
21 Oct
2025
Heat detections
59
in a single hotspot: 28 MW
Danger at start
26
High · FWI index
Energy released
429MW
sum of detected power

Where it burned

25 Oct 2025
HOTSPOTS BY DAY 21 Oct25 Oct

How it evolved, day by day

2122232425

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

The weather it burned in

28°high
29km/h · peak gust
36%lowest humidity

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

This area had burned before

100% of the perimeter overlaps earlier fires recorded since 2016: 2,493 ha in 2016, 2,476 ha in 2017, 1,195 ha in 2018, 2,106 ha in 2020, 2,141 ha in 2021, 55 ha in 2022, 1,719 ha in 2023, 2,350 ha in 2024. Part of it burned more than once, so the yearly figures add up to more than the 3,741 ha that had burned before.

What happened to each town

  1. Mlele where it started
    3,748 ha reached on 21 Oct
    0.1 %

Burnt area inside each municipality, from crossing the GWIS perimeter with administrative boundaries. The distance is from the town centre to the nearest fire: staying a kilometre away does not mean it reached the houses.

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)
21 Oct 26.7 °C 39 % 29 km/h 0.1 mm High 26
22 Oct 26.5 °C 44 % 26 km/h 0.0 mm High 25
23 Oct 27.1 °C 41 % 26 km/h 0.0 mm High 24
24 Oct 27.6 °C 42 % 25 km/h 0.0 mm High 26
25 Oct 28.5 °C 36 % 28 km/h 0.0 mm High 30
26 Oct after 27.5 °C 49 % 26 km/h 0.2 mm High 25
27 Oct after 27.3 °C 48 % 24 km/h 0.4 mm High 24
28 Oct after 28.2 °C 43 % 31 km/h 0.0 mm High 25
29 Oct after 27.8 °C 42 % 32 km/h 0.0 mm High 26
30 Oct after 27.6 °C 39 % 32 km/h 0.0 mm High 26
31 Oct after 27.6 °C 36 % 31 km/h 0.0 mm High 26
1 Nov after 26.9 °C 39 % 35 km/h 0.0 mm High 27
2 Nov after 27.4 °C 37 % 31 km/h 0.0 mm High 27
3 Nov after 27.5 °C 37 % 36 km/h 0.0 mm High 29
4 Nov after 26.9 °C 39 % 35 km/h 0.0 mm High 30

Before and after, from space

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

Before · 14 Oct 2025
After · 1 Nov 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 24 October 2025 the air beside the fire reached 65 µg/m³ of PM2.5. That day averaged 49: 3.2 times the WHO daily guideline (15).

PM2.5 peak65 µg/m³
Days over the guideline8 days
PM1066 µg/m³
Optical depth1.11
19202122232425262728
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 · 59Every 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 Mlele fire last?
GWIS (Copernicus) dates it between 21 October 2025 and 25 October 2025: 5 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 3,717 hectares (37.2 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Mlele (3,748 ha, 0.1 %).
What was the weather like?
During the fire the temperature reached 28.5 °C, humidity dropped to 36 % and gusts hit 29 km/h. The fire danger index (FWI) reached 30, class 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

Satellite cross-check

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.

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.