Mlele fire, 19 October 2022 Mlele
The fire started on 19 October 2022 in Mlele, Tanzania, and satellites saw it burning for 11 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 7,332 hectares from heat detections, spread across a single municipality.
It is the 59th largest in Katavi since 2016 (of 271 with a page). Number 10 in Tanzania in 2022, of 71.
Compare with…
Suggestions: Mlele · 2020Mlele · 2016Mlele · 2018Mlele · 2019
- Burnt area
- 7,332ha
- GWIS perimeter (Copernicus)
- Duration
- 11days
- 19 Oct 2022 – 29 Oct 2022
- Municipalities hit
- 1
- districts
- Started on
- 19 Oct
- 2022
- Heat detections
- 236
- in a single hotspot: 34 MW
- Danger at start
- 42
- Very high · FWI index
- Average daily power
- 78MW
- detected power per day, on average
Where it burned
How it evolved, day by day
Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.
The weather it burned in
It had gone more than two months without rain (1 mm or more) when it started.
This area had burned before
93% of the perimeter overlaps earlier fires recorded since 2016: 4,822 ha in 2016, 993 ha in 2017, 1,518 ha in 2018, 1,051 ha in 2019, 3,882 ha in 2020, 498 ha in 2021. Part of it burned more than once, so the yearly figures add up to more than the 6,820 ha that had burned before.
- 3,548 ha Mlele fire, September 2020 4,729 ha in total; the hectares shown are those it shares with this fire
- 2,612 ha Mlele fire, August 2016 50,151 ha in total; the hectares shown are those it shares with this fire
- 1,477 ha Mlele fire, August 2018 3,102 ha in total; the hectares shown are those it shares with this fire
- 1,051 ha Mlele fire, August 2019 8,692 ha in total; the hectares shown are those it shares with this fire
- 980 ha Mlele fire, July 2017 12,919 ha in total; the hectares shown are those it shares with this fire
- 78 ha Mlele fire, September 2020 3,708 ha in total; the hectares shown are those it shares with this fire
How big is it?
London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).
Paris boundary: geoBoundaries · Institut national de l'information géographique et forestière (IGN-F) (Etalab Open License 2.0).
Madrid boundary: geoBoundaries · Open Data ESRI, IGN Central Registry of Cartography Area (CC BY 4.0).
Berlin boundary: geoBoundaries · Federal Agency for Cartography and Geodesy (dl-de/by-2-0).
This compares size, not location: both shapes are at the same scale, north up, centred on each other.
What happened to each town
-
Mlele where it started7,392 ha reached on 17 Oct0.2 %
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 2020Inside 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) |
|---|---|---|---|---|---|
| 19 Oct | 31.3 °C | 24 % | 32 km/h | 0.0 mm | Very high 42 |
| 20 Oct | 31.2 °C | 22 % | 36 km/h | 0.0 mm | Very high 43 |
| 21 Oct | 31.8 °C | 21 % | 36 km/h | 0.0 mm | Very high 45 |
| 22 Oct | 31.9 °C | 20 % | 35 km/h | 0.0 mm | Very high 44 |
| 23 Oct | 32.3 °C | 18 % | 36 km/h | 0.0 mm | Very high 43 |
| 24 Oct | 33.4 °C | 18 % | 27 km/h | 0.0 mm | Very high 42 |
| 25 Oct | 32.4 °C | 20 % | 26 km/h | 0.0 mm | Very high 41 |
| 26 Oct | 33.0 °C | 20 % | 30 km/h | 0.0 mm | Very high 43 |
| 27 Oct | 32.2 °C | 22 % | 33 km/h | 0.0 mm | Very high 46 |
| 28 Oct | 32.4 °C | 18 % | 28 km/h | 0.0 mm | Very high 44 |
| 29 Oct | 33.2 °C | 17 % | 27 km/h | 0.0 mm | Very high 42 |
| 30 Oct after | 32.0 °C | 21 % | 30 km/h | 0.0 mm | Very high 43 |
| 31 Oct after | 32.1 °C | 22 % | 33 km/h | 0.0 mm | Very high 46 |
| 1 Nov after | 32.7 °C | 22 % | 33 km/h | 0.0 mm | Very high 46 |
| 2 Nov after | 32.9 °C | 18 % | 36 km/h | 0.0 mm | Very high 48 |
| 3 Nov after | 32.2 °C | 20 % | 32 km/h | 0.0 mm | Very high 47 |
| 4 Nov after | 31.4 °C | 24 % | 34 km/h | 0.0 mm | Very high 42 |
| 5 Nov after | 32.5 °C | 22 % | 37 km/h | 0.0 mm | Very high 45 |
| 6 Nov after | 29.8 °C | 26 % | 35 km/h | 0.0 mm | Very high 39 |
| 7 Nov after | 30.7 °C | 26 % | 34 km/h | 0.3 mm | Very high 41 |
| 8 Nov after | 29.7 °C | 33 % | 39 km/h | 0.8 mm | High 30 |
Before and after, from space
Drag the line to compare the same ground before the fire and after it.
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 · 236Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 50,151 haMlele15 August 2016 · 43 days · 10 km away
- 12,919 haMlele10 July 2017 · 15 days · 15 km away
- 28,157 haMlele28 August 2017 · 19 days · 18 km away
- 14,689 haMlele9 September 2022 · 19 days · 23 km away
- 21,840 haMlele12 September 2025 · 26 days · 27 km away
- 34,561 haMlele28 June 2016 · 25 days · 31 km away
Frequently asked questions
- How long did the Mlele fire last?
- GWIS (Copernicus) dates it between 19 October 2022 and 29 October 2022: 11 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 7,332 hectares (73.3 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire only entered Mlele (7,392 ha, 0.2 %).
- What was the weather like?
- During the fire the temperature reached 33.4 °C, humidity dropped to 17 % and gusts hit 36 km/h. The fire danger index (FWI) reached 46, 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.
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
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. 236 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.
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.