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Mlele fire, 4 June 2019 Mlele

Out · last detection 13 Jun 2019, 11:39 UTC

The fire started on 4 June 2019 in Mlele, Tanzania, and satellites saw it burning for 9 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 8,954 hectares from heat detections, spread across a single municipality.

It is the 42th largest in Katavi since 2016 (of 271 with a page). Number 21 in Tanzania in 2019, of 123.

Compare with…
Burnt area
8,954ha
GWIS perimeter (Copernicus)
Duration
9days
4 Jun 2019 – 12 Jun 2019
Municipalities hit
1
districts
Started on
4 Jun
2019
Heat detections
314
in a single hotspot: 80 MW
Danger at start
25
High · FWI index
Average daily power
286MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 4 Jun12 Jun
13 Jun 2019

How it evolved, day by day

4 Jun 2019 · 274 MW · 35 5 Jun 2019 · 327 MW · 30 6 Jun 2019 · 101 MW · 18 7 Jun 2019 · 251 MW · 34 8 Jun 2019 · 194 MW · 44 9 Jun 2019 · 668 MW · 48 10 Jun 2019 · 334 MW · 28 11 Jun 2019 · 526 MW · 32 12 Jun 2019 · 37 MW · 10 13 Jun 2019 · 151 MW · 5
4 Jun 6 Jun 8 Jun 9 Jun 10 Jun 12 Jun

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
48km/h · peak gust
36%lowest humidity

It had gone 15 days without rain (1 mm or more) when it started.

This area had burned before

75% of the perimeter overlaps earlier fires recorded since 2016: 5,052 ha in 2016, 3,441 ha in 2017, 923 ha in 2018. Part of it burned more than once, so the yearly figures add up to more than the 6,732 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 5.7% of the area of London (90 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
    9,020 ha reached on 4 Jun
    0.3 %

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 2020
Built-up area< 0.1 ha
Residents< 20

Inside the perimeter there was no noticeable built-up land and almost nobody lived there (GHSL 2020, 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.

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)
4 Jun 28.0 °C 39 % 42 km/h 0.0 mm High 25
5 Jun 28.6 °C 36 % 41 km/h 0.0 mm High 26
6 Jun 29.7 °C 36 % 38 km/h 0.0 mm High 25
7 Jun 29.5 °C 37 % 36 km/h 0.0 mm High 25
8 Jun 29.9 °C 37 % 38 km/h 0.0 mm High 27
9 Jun 28.4 °C 37 % 48 km/h 0.0 mm High 30
10 Jun 27.2 °C 39 % 47 km/h 0.0 mm High 30
11 Jun 28.6 °C 36 % 41 km/h 0.0 mm High 28
12 Jun 29.8 °C 36 % 41 km/h 0.0 mm High 29
13 Jun after 29.4 °C 39 % 38 km/h 0.0 mm High 28
14 Jun after 28.7 °C 39 % 42 km/h 0.0 mm High 30
15 Jun after 28.4 °C 39 % 43 km/h 0.0 mm High 31
16 Jun after 28.5 °C 31 % 41 km/h 0.0 mm High 30
17 Jun after 29.4 °C 33 % 40 km/h 0.0 mm High 31
18 Jun after 29.9 °C 37 % 35 km/h 0.0 mm High 29
19 Jun after 29.4 °C 38 % 40 km/h 0.0 mm High 32
20 Jun after 29.4 °C 34 % 41 km/h 0.0 mm High 32
21 Jun after 28.6 °C 35 % 41 km/h 0.0 mm High 33
22 Jun after 29.0 °C 31 % 39 km/h 0.0 mm High 33

Before and after, from space

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

Before · 28 May 2019
After · 19 Jun 2019

If the day is cloudy, change the date: each satellite passes once a day. In false colour the burnt ground looks brown or red.

Detections table · 314Every 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 4 June 2019 and 12 June 2019: 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 8,954 hectares (89.5 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Mlele (9,020 ha, 0.3 %).
What was the weather like?
During the fire the temperature reached 29.9 °C, humidity dropped to 36 % and gusts hit 48 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 · 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. 314 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 2020, 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.