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Mlele fire, 21 June 2026 Mlele

Out · last detection 28 Jun 2026, 11:25 UTC

The fire started on 21 June 2026 in Mlele, Tanzania, and satellites saw it burning for 7 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 3,296 hectares from heat detections, spread across a single municipality.

It is the 231th largest in Katavi since 2016 (of 271 with a page). Number 161 in Tanzania in 2026, of 196.

The power measured by the satellite is low (27.2 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
3,296ha
GWIS perimeter (Copernicus)
Duration
7days
21 Jun 2026 – 27 Jun 2026
Municipalities hit
1
districts
Started on
21 Jun
2026
Heat detections
60
in a single hotspot: 27 MW
Danger at start
38
Very high · FWI index
Energy released
327MW
sum of detected power

Where it burned

28 Jun 2026
HOTSPOTS BY DAY 21 Jun27 Jun

How it evolved, day by day

2122232425262728

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
36km/h · peak gust
20%lowest humidity

It had gone 52 days without rain (1 mm or more) when it started.

This area had burned before

81% of the perimeter overlaps earlier fires recorded since 2016: 693 ha in 2016, 1,843 ha in 2017, 1,047 ha in 2019. Part of it burned more than once, so the yearly figures add up to more than the 2,684 ha that had burned before.

What happened to each town

  1. Mlele where it started
    3,321 ha reached on 21 Jun
    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 Jun 28.3 °C 31 % 36 km/h 0.0 mm Very high 38
22 Jun 28.3 °C 27 % 30 km/h 0.0 mm High 36
23 Jun 28.9 °C 26 % 30 km/h 0.0 mm High 36
24 Jun 29.9 °C 26 % 30 km/h 0.0 mm High 35
25 Jun 30.5 °C 22 % 32 km/h 0.0 mm High 37
26 Jun 29.6 °C 21 % 28 km/h 0.0 mm High 36
27 Jun 28.6 °C 20 % 27 km/h 0.0 mm High 36
28 Jun after 30.0 °C 16 % 29 km/h 0.0 mm Very high 40
29 Jun after 30.1 °C 26 % 27 km/h 0.0 mm High 38
30 Jun after 30.8 °C 28 % 28 km/h 0.0 mm Very high 38
1 Jul after 30.4 °C 27 % 31 km/h 0.0 mm Very high 40
2 Jul after 30.9 °C 24 % 26 km/h 0.0 mm High 38
3 Jul after 31.7 °C 20 % 27 km/h 0.0 mm Very high 40
4 Jul after 31.1 °C 25 % 28 km/h 0.0 mm Very high 38
5 Jul after 30.2 °C 28 % 33 km/h 0.0 mm Very high 40
6 Jul after 29.4 °C 29 % 35 km/h 0.0 mm Very high 40
7 Jul after 29.8 °C 28 % 34 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 · 14 Jun 2026
After · 4 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 28 June 2026 the air beside the fire reached 30 µg/m³ of PM2.5. That day averaged 18: 1.2 times the WHO daily guideline (15).

PM2.5 peak30 µg/m³
Days over the guideline3 days
PM1031 µg/m³
Optical depth0.32
192021222324252627282930
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 · 60Every 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 June 2026 and 27 June 2026: 7 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 3,296 hectares (33.0 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Mlele (3,321 ha, 0.1 %).
What was the weather like?
During the fire the temperature reached 30.5 °C, humidity dropped to 20 % and gusts hit 36 km/h. The fire danger index (FWI) reached 38, 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.