Mlele fire, 26 June 2022 Mlele
The fire started on 26 June 2022 in Mlele, Tanzania, and satellites saw it burning for 5 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 4,826 hectares from heat detections, spread across a single municipality.
It is the 118th largest in Katavi since 2016 (of 271 with a page). Number 23 in Tanzania in 2022, of 71.
The power measured by the satellite is low (20.8 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…
Suggestions: Mlele · 2016Mlele · 2017Mlele · 2021Mlele · 2020
- Burnt area
- 4,826ha
- GWIS perimeter (Copernicus)
- Duration
- 5days
- 26 Jun 2022 – 30 Jun 2022
- Municipalities hit
- 1
- districts
- Started on
- 26 Jun
- 2022
- Heat detections
- 94
- in a single hotspot: 21 MW
- Danger at start
- 27
- High · FWI index
- Average daily power
- 91MW
- 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 55 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: 4,221 ha in 2016, 3,867 ha in 2017, 1,673 ha in 2018, 1,052 ha in 2019, 3,956 ha in 2020, 3,642 ha in 2021. Part of it burned more than once, so the yearly figures add up to more than the 4,835 ha that had burned before.
- 4,221 ha Mlele fire, June 2016 34,561 ha in total; the hectares shown are those it shares with this fire
- 3,867 ha Mlele fire, June 2017 20,520 ha in total; the hectares shown are those it shares with this fire
- 3,124 ha Mlele fire, July 2021 8,840 ha in total; the hectares shown are those it shares with this fire
- 2,886 ha Mlele fire, August 2020 9,467 ha in total; the hectares shown are those it shares with this fire
- 518 ha Mlele fire, July 2021 6,460 ha in total; the hectares shown are those it shares with this fire
- 328 ha Mlele fire, August 2020 6,399 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 started4,760 ha reached on 26 Jun0.2 %
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) |
|---|---|---|---|---|---|
| 26 Jun | 24.9 °C | 47 % | 42 km/h | 0.0 mm | High 27 |
| 27 Jun | 24.3 °C | 49 % | 47 km/h | 0.0 mm | High 31 |
| 28 Jun | 23.2 °C | 51 % | 45 km/h | 0.0 mm | High 29 |
| 29 Jun | 24.1 °C | 47 % | 36 km/h | 0.0 mm | High 27 |
| 30 Jun | 25.4 °C | 45 % | 39 km/h | 0.0 mm | High 25 |
| 1 Jul after | 24.3 °C | 50 % | 36 km/h | 0.0 mm | High 26 |
| 2 Jul after | 23.9 °C | 47 % | 34 km/h | 0.0 mm | High 26 |
| 3 Jul after | 24.9 °C | 44 % | 32 km/h | 0.0 mm | High 24 |
| 4 Jul after | 25.2 °C | 44 % | 34 km/h | 0.0 mm | High 25 |
| 5 Jul after | 24.1 °C | 45 % | 32 km/h | 0.0 mm | High 24 |
| 6 Jul after | 24.8 °C | 48 % | 34 km/h | 0.0 mm | High 26 |
| 7 Jul after | 25.4 °C | 41 % | 34 km/h | 0.0 mm | High 26 |
| 8 Jul after | 24.4 °C | 49 % | 39 km/h | 0.0 mm | High 27 |
| 9 Jul after | 24.7 °C | 43 % | 39 km/h | 0.0 mm | High 28 |
| 10 Jul after | 24.3 °C | 41 % | 35 km/h | 0.0 mm | High 26 |
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 · 94Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 20,520 haMlele17 June 2017 · 13 days · 8 km away
- 34,561 haMlele28 June 2016 · 25 days · 10 km away
- 28,157 haMlele28 August 2017 · 19 days · 15 km away
- 21,840 haMlele12 September 2025 · 26 days · 19 km away
- 14,689 haMlele9 September 2022 · 19 days · 20 km away
- 50,151 haMlele15 August 2016 · 43 days · 23 km away
Frequently asked questions
- How long did the Mlele fire last?
- GWIS (Copernicus) dates it between 26 June 2022 and 30 June 2022: 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 4,826 hectares (48.3 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire only entered Mlele (4,760 ha, 0.2 %).
- What was the weather like?
- During the fire the temperature reached 25.4 °C, humidity dropped to 45 % and gusts hit 47 km/h. The fire danger index (FWI) reached 31, 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.
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. 94 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.