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Mlele fire, June 2025 Mlele

Out · last detection 3 Jul 2025, 23:11 UTC

The fire started on 29 June 2025 in Mlele, Tanzania, and satellites saw it burning for 5 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 5,512 hectares from heat detections, spread across a single municipality.

It is the 95th largest in Katavi since 2016 (of 271 with a page). Number 58 in Tanzania in 2025, of 161.

The power measured by the satellite is low (25.8 MW in the strongest hotspot), more typical of grass or stubble burning, or a slow surface fire, than of a large crown fire.

Compare with…
Burnt area
5,512ha
GWIS perimeter (Copernicus)
Duration
5days
29 Jun 2025 – 3 Jul 2025
Municipalities hit
1
districts
Started on
29 Jun
2025
Heat detections
174
in a single hotspot: 26 MW
Danger at start
41
Very high · FWI index
Average daily power
228MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 29 Jun3 Jul
3 Jul 2025

How it evolved, day by day

29 Jun 2025 · 82 MW · 13 30 Jun 2025 · 131 MW · 18 1 Jul 2025 · 474 MW · 71 2 Jul 2025 · 432 MW · 68 3 Jul 2025 · 22 MW · 3
29 Jun 30 Jun 1 Jul 2 Jul 3 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

31°high
41km/h · peak gust
25%lowest humidity

It had gone 46 days without rain (1 mm or more) when it started.

This area had burned before

100% of the perimeter overlaps earlier fires recorded since 2016: 3,402 ha in 2016, 4,584 ha in 2017, 4,441 ha in 2018, 2,821 ha in 2019, 5,107 ha in 2020, 5,208 ha in 2021, 4,134 ha in 2022, 3,679 ha in 2023, 4,227 ha in 2024. Part of it burned more than once, so the yearly figures add up to more than the 5,548 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 3.5% of the area of London (55 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. Mlele where it started
    5,551 ha reached on 28 Jun
    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 area0.10 ha
Residents< 20

Inside the perimeter there were about 0.10 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)
29 Jun 31.0 °C 27 % 39 km/h 0.0 mm Very high 41
30 Jun 29.5 °C 25 % 39 km/h 0.0 mm Very high 41
1 Jul 31.0 °C 27 % 41 km/h 0.0 mm Very high 43
2 Jul 31.2 °C 31 % 38 km/h 0.0 mm Very high 40
3 Jul 30.5 °C 35 % 38 km/h 0.0 mm High 38
4 Jul after 31.8 °C 31 % 35 km/h 0.0 mm High 36
5 Jul after 30.5 °C 34 % 36 km/h 0.0 mm High 37
6 Jul after 31.3 °C 29 % 32 km/h 0.0 mm High 35
7 Jul after 31.7 °C 29 % 32 km/h 0.0 mm High 35
8 Jul after 30.7 °C 30 % 40 km/h 0.0 mm Very high 39
9 Jul after 28.8 °C 25 % 46 km/h 0.0 mm Very high 42
10 Jul after 29.7 °C 26 % 36 km/h 0.0 mm High 37
11 Jul after 30.2 °C 32 % 34 km/h 0.0 mm High 36
12 Jul after 31.4 °C 30 % 35 km/h 0.0 mm High 37
13 Jul after 30.8 °C 33 % 39 km/h 0.0 mm Very high 39

Before and after, from space

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

Before · 22 Jun 2025
After · 10 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 4 July 2025 the air beside the fire reached 45 µg/m³ of PM2.5. That day averaged 30: 2.0 times the WHO daily guideline (15).

PM2.5 peak45 µg/m³
Days over the guideline8 days
PM1045 µg/m³
Optical depth0.81
27282930123456
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 · 174Every 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 29 June 2025 and 3 July 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 5,512 hectares (55.1 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Mlele (5,551 ha, 0.2 %).
What was the weather like?
During the fire the temperature reached 31.2 °C, humidity dropped to 25 % and gusts hit 41 km/h. The fire danger index (FWI) reached 43, 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. 174 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.