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Mlele fire, 15 July 2025 Mlele

Out · last detection 24 Jul 2025, 23:17 UTC

The fire started on 15 July 2025 in Mlele, Tanzania, and satellites saw it burning for 9 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 3,619 hectares from heat detections, spread across a single municipality.

It is the 190th largest in Katavi since 2016 (of 271 with a page). Number 112 in Tanzania in 2025, of 161.

The power measured by the satellite is low (29.3 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
3,619ha
GWIS perimeter (Copernicus)
Duration
9days
15 Jul 2025 – 23 Jul 2025
Municipalities hit
1
districts
Started on
15 Jul
2025
Heat detections
157
in a single hotspot: 29 MW
Danger at start
37
High · FWI index
Energy released
587MW
sum of detected power

Where it burned

24 Jul 2025
HOTSPOTS BY DAY 15 Jul23 Jul

How it evolved, day by day

15161718192021222324

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

The weather it burned in

32°high
38km/h · peak gust
24%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: 1,780 ha in 2016, 2,802 ha in 2017, 2,201 ha in 2018, 2,882 ha in 2019, 2,958 ha in 2020, 1,434 ha in 2021, 2,081 ha in 2022, 1,772 ha in 2023, 1,805 ha in 2024. Part of it burned more than once, so the yearly figures add up to more than the 3,641 ha that had burned before.

What happened to each town

  1. Mlele where it started
    3,644 ha reached on 15 Jul
    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)
15 Jul 31.7 °C 25 % 34 km/h 0.0 mm High 37
16 Jul 31.6 °C 27 % 32 km/h 0.0 mm High 36
17 Jul 31.8 °C 29 % 33 km/h 0.0 mm High 37
18 Jul 32.3 °C 29 % 34 km/h 0.0 mm Very high 38
19 Jul 31.4 °C 32 % 36 km/h 0.0 mm Very high 38
20 Jul 30.3 °C 26 % 38 km/h 0.0 mm Very high 39
21 Jul 30.8 °C 24 % 35 km/h 0.0 mm High 38
22 Jul 30.7 °C 29 % 34 km/h 0.0 mm Very high 38
23 Jul 31.5 °C 30 % 38 km/h 0.0 mm Very high 40
24 Jul after 31.6 °C 29 % 37 km/h 0.0 mm Very high 40
25 Jul after 32.4 °C 29 % 38 km/h 0.0 mm Very high 42
26 Jul after 32.2 °C 26 % 34 km/h 0.0 mm Very high 39
27 Jul after 31.3 °C 26 % 37 km/h 0.0 mm Very high 41
28 Jul after 29.3 °C 30 % 44 km/h 0.0 mm Very high 43
29 Jul after 29.5 °C 20 % 43 km/h 0.0 mm Very high 43
30 Jul after 29.4 °C 26 % 40 km/h 0.0 mm Very high 42
31 Jul after 30.0 °C 24 % 39 km/h 0.0 mm Very high 42
1 Aug after 31.2 °C 25 % 38 km/h 0.0 mm Very high 42
2 Aug after 31.6 °C 24 % 37 km/h 0.0 mm Very high 41

Before and after, from space

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

Before · 8 Jul 2025
After · 30 Jul 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 19 July 2025 the air beside the fire reached 49 µg/m³ of PM2.5. That day averaged 34: 2.3 times the WHO daily guideline (15).

PM2.5 peak49 µg/m³
Days over the guideline11 days
PM1049 µg/m³
Optical depth0.73
1314151617181920212223242526
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 · 157Every 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 15 July 2025 and 23 July 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 3,619 hectares (36.2 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Mlele (3,644 ha, 0.1 %).
What was the weather like?
During the fire the temperature reached 32.3 °C, humidity dropped to 24 % and gusts hit 38 km/h. The fire danger index (FWI) reached 40, 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

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.