Skip to content
worldfires
TZ · Tanzania · →

Mlele fire, 29 July 2016 Mlele

Out · last detection 5 Aug 2016, 23:22 UTC

The fire started on 29 July 2016 in Mlele, Tanzania, and satellites saw it burning for 7 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 3,012 hectares from heat detections, spread across a single municipality.

It is the 269th largest in Katavi since 2016 (of 271 with a page). Number 158 in Tanzania in 2016, of 160.

Compare with…
Burnt area
3,012ha
GWIS perimeter (Copernicus)
Duration
7days
29 Jul 2016 – 4 Aug 2016
Municipalities hit
1
districts
Started on
29 Jul
2016
Heat detections
93
in a single hotspot: 95 MW
Danger at start
39
Very high · FWI index
Average daily power
90MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 29 Jul4 Aug
5 Aug 2016

How it evolved, day by day

29 Jul 2016 · 21 MW · 2 31 Jul 2016 · 423 MW · 33 1 Aug 2016 · 40 MW · 9 2 Aug 2016 · 40 MW · 11 3 Aug 2016 · 41 MW · 9 4 Aug 2016 · 43 MW · 11 5 Aug 2016 · 22 MW · 6
29 Jul 31 Jul 1 Aug 2 Aug 3 Aug 4 Aug 5 Aug

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
38km/h · peak gust
22%lowest humidity

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

This area had burned before

No earlier perimeters overlap this fire since 2016, when the satellite record begins.

How big is it?

10 km
It burned the equivalent of 1.9% of the area of London (30 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
    3,033 ha reached on 28 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)
29 Jul 30.3 °C 22 % 38 km/h 0.0 mm Very high 39
30 Jul 29.5 °C 25 % 33 km/h 0.0 mm High 36
31 Jul 31.3 °C 26 % 37 km/h 0.0 mm Very high 38
1 Aug 30.9 °C 27 % 34 km/h 0.0 mm High 37
2 Aug 31.2 °C 22 % 31 km/h 0.0 mm High 36
3 Aug 30.5 °C 27 % 32 km/h 0.0 mm High 37
4 Aug 30.6 °C 25 % 37 km/h 0.0 mm Very high 40
5 Aug after 29.7 °C 30 % 42 km/h 0.0 mm Very high 41
6 Aug after 28.5 °C 31 % 44 km/h 0.0 mm Very high 41
7 Aug after 29.1 °C 27 % 42 km/h 0.0 mm Very high 40
8 Aug after 29.7 °C 32 % 37 km/h 0.0 mm High 37
9 Aug after 29.5 °C 33 % 38 km/h 0.0 mm High 37
10 Aug after 30.7 °C 26 % 42 km/h 0.0 mm Very high 39
11 Aug after 30.2 °C 28 % 39 km/h 0.0 mm Very high 38
12 Aug after 31.4 °C 27 % 38 km/h 0.0 mm High 37
13 Aug after 30.5 °C 32 % 36 km/h 0.0 mm High 37
14 Aug after 31.7 °C 32 % 34 km/h 0.0 mm High 36

Before and after, from space

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

Before · 22 Jul 2016
After · 11 Aug 2016

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 · 93Every 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 July 2016 and 4 August 2016: 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 3,012 hectares (30.1 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Mlele (3,033 ha, 0.1 %).
What was the weather like?
During the fire the temperature reached 31.3 °C, humidity dropped to 22 % 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.

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. 93 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.

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.