Manyoni fire, 12 June 2019 Manyoni, Chunya
The fire started on 12 June 2019 in Manyoni, Tanzania, and satellites saw it burning for 9 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 9,311 hectares from heat detections, spread across 2 municipalities.
It is the 14th largest in Singida since 2016 (of 124 with a page). Number 20 in Tanzania in 2019, of 123.
- Burnt area
- 9,311ha
- GWIS perimeter (Copernicus)
- Duration
- 9days
- 12 Jun 2019 – 20 Jun 2019
- Municipalities hit
- 2
- districts
- Started on
- 12 Jun
- 2019
- Heat detections
- 296
- in a single hotspot: 265 MW
- Danger at start
- 36
- High · FWI index
- Energy released
- 3.2GW
- sum of detected power
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 30 days without rain (1 mm or more) when it started.
This area had burned before
94% of the perimeter overlaps earlier fires recorded since 2016: 7,793 ha in 2016, 4,189 ha in 2017, 3,261 ha in 2018. Part of it burned more than once, so the yearly figures add up to more than the 8,719 ha that had burned before.
- 7,793 ha Chunya fire, July 2016 59,818 ha in total; the hectares shown are those it shares with this fire
- 3,886 ha Manyoni fire, June 2017 21,814 ha in total; the hectares shown are those it shares with this fire
- 1,095 ha Manyoni fire, August 2018 5,216 ha in total; the hectares shown are those it shares with this fire
- 637 ha Chunya fire, August 2018 8,838 ha in total; the hectares shown are those it shares with this fire
- 6 ha Manyoni fire, August 2018 6,411 ha in total; the hectares shown are those it shares with this fire
What happened to each town
-
Manyoni where it started8,149 ha reached on 10 Jun0.3 %
-
1,232 ha reached on 16 Jun0.1 %
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) |
|---|---|---|---|---|---|
| 12 Jun | 28.5 °C | 32 % | 42 km/h | 0.0 mm | High 36 |
| 13 Jun | 27.3 °C | 35 % | 41 km/h | 0.0 mm | High 34 |
| 14 Jun | 27.6 °C | 32 % | 43 km/h | 0.0 mm | High 36 |
| 15 Jun | 27.3 °C | 28 % | 46 km/h | 0.0 mm | High 38 |
| 16 Jun | 28.0 °C | 25 % | 41 km/h | 0.0 mm | High 36 |
| 17 Jun | 28.4 °C | 26 % | 40 km/h | 0.0 mm | High 36 |
| 18 Jun | 28.3 °C | 33 % | 41 km/h | 0.0 mm | High 37 |
| 19 Jun | 27.9 °C | 30 % | 41 km/h | 0.0 mm | High 38 |
| 20 Jun | 28.9 °C | 29 % | 39 km/h | 0.0 mm | High 37 |
| 21 Jun after | 28.2 °C | 30 % | 36 km/h | 0.0 mm | High 36 |
| 22 Jun after | 28.3 °C | 30 % | 33 km/h | 0.0 mm | High 35 |
| 23 Jun after | 28.7 °C | 32 % | 31 km/h | 0.0 mm | High 34 |
| 24 Jun after | 27.3 °C | 34 % | 31 km/h | 0.0 mm | High 33 |
| 25 Jun after | 28.2 °C | 35 % | 37 km/h | 0.0 mm | High 35 |
| 26 Jun after | 27.6 °C | 36 % | 44 km/h | 0.0 mm | Very high 38 |
| 27 Jun after | 27.8 °C | 35 % | 42 km/h | 0.0 mm | High 38 |
| 28 Jun after | 28.0 °C | 34 % | 36 km/h | 0.0 mm | High 34 |
| 29 Jun after | 27.7 °C | 34 % | 37 km/h | 0.0 mm | High 36 |
| 30 Jun after | 27.5 °C | 29 % | 37 km/h | 0.0 mm | High 35 |
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 · 296Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 21,814 haManyoni25 June 2017 · 7 days · 7 km away
- 15,867 haManyoni15 July 2020 · 9 days · 8 km away
- 22,710 haManyoni18 July 2026 · 13 days · 13 km away
- 59,818 haChunya9 July 2016 · 34 days · 18 km away
- 15,053 haManyoni15 September 2026 · 15 days · 32 km away
- 21,611 haManyoni9 August 2026 · 23 days · 40 km away
Frequently asked questions
- How long did the Manyoni fire last?
- GWIS (Copernicus) dates it between 12 June 2019 and 20 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 9,311 hectares (93.1 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Manyoni (8,149 ha, 0.3 %); Chunya (1,232 ha, 0.1 %).
- What was the weather like?
- During the fire the temperature reached 28.9 °C, humidity dropped to 25 % and gusts hit 46 km/h. The fire danger index (FWI) reached 38, 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
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
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.