Bulungu fire, July 2022 Bulungu, Idiofa
The fire started on 27 July 2022 in Bulungu, Democratic Republic of the Congo, and satellites saw it burning for 15 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 7,858 hectares from heat detections, spread across 2 municipalities.
It is the 110th largest in Kwilu since 2016 (of 236 with a page). Number 34 in Democratic Republic of the Congo in 2022, of 106.
Compare with…
- Burnt area
- 7,858ha
- GWIS perimeter (Copernicus)
- Duration
- 15days
- 27 Jul 2022 – 10 Aug 2022
- Municipalities hit
- 2
- territories
- Started on
- 27 Jul
- 2022
- Heat detections
- 128
- in a single hotspot: 184 MW
- Danger at start
- 36
- High · FWI index
- Average daily power
- 618MW
- detected power per day, on average
Where it burned
How it evolved, day by day
11 Aug 2022 · 618 MW · 20
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 34 days without rain (1 mm or more) when it started. Rain came after the fire: 3.2 mm on 18 Aug.
This area had burned before
93% of the perimeter overlaps earlier fires recorded since 2016: 5,667 ha in 2016, 2,954 ha in 2017, 939 ha in 2018, 2,979 ha in 2019, 4,977 ha in 2020, 1,632 ha in 2021. Part of it burned more than once, so the yearly figures add up to more than the 7,303 ha that had burned before.
- 4,781 ha Bulungu fire, July 2016 7,978 ha in total; the hectares shown are those it shares with this fire
- 1,751 ha Bulungu fire, August 2019 13,414 ha in total; the hectares shown are those it shares with this fire
- 55 ha Bulungu fire, July 2019 5,820 ha in total; the hectares shown are those it shares with this fire
- 21 ha Bulungu fire, July 2020 7,423 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
-
Bulungu where it started7,905 ha reached on 20 Jul0.6 %
-
5 ha reached on 16 Aug0.0 %
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 were about 11 hectares of built-up land and about 1,200 residents (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) |
|---|---|---|---|---|---|
| 27 Jul | 35.6 °C | 23 % | 18 km/h | 0.0 mm | High 36 |
| 28 Jul | 33.0 °C | 30 % | 28 km/h | 0.0 mm | High 36 |
| 29 Jul | 32.6 °C | 33 % | 29 km/h | 0.0 mm | High 35 |
| 30 Jul | 32.9 °C | 33 % | 28 km/h | 0.0 mm | High 35 |
| 31 Jul | 33.1 °C | 33 % | 25 km/h | 0.0 mm | High 33 |
| 1 Aug | 33.6 °C | 31 % | 23 km/h | 0.0 mm | High 33 |
| 2 Aug | 32.6 °C | 39 % | 29 km/h | 0.4 mm | High 32 |
| 3 Aug | 32.2 °C | 42 % | 23 km/h | 2.4 mm | Low 11 |
| 4 Aug | 33.6 °C | 35 % | 23 km/h | 0.2 mm | High 24 |
| 5 Aug | 32.2 °C | 37 % | 26 km/h | 0.0 mm | High 26 |
| 6 Aug | 33.3 °C | 33 % | 24 km/h | 0.0 mm | High 28 |
| 7 Aug | 34.4 °C | 30 % | 24 km/h | 0.0 mm | High 31 |
| 8 Aug | 34.8 °C | 27 % | 22 km/h | 0.0 mm | High 32 |
| 9 Aug | 35.2 °C | 26 % | 25 km/h | 0.0 mm | High 35 |
| 10 Aug | 35.0 °C | 28 % | 23 km/h | 0.0 mm | High 33 |
| 11 Aug after | 36.5 °C | 16 % | 35 km/h | 0.0 mm | Very high 44 |
| 12 Aug after | 34.4 °C | 23 % | 22 km/h | 0.0 mm | Very high 42 |
| 13 Aug after | 34.1 °C | 27 % | 31 km/h | 0.0 mm | Very high 39 |
| 14 Aug after | 33.2 °C | 31 % | 24 km/h | 0.0 mm | High 36 |
| 15 Aug after | 33.4 °C | 32 % | 25 km/h | 0.0 mm | High 36 |
| 16 Aug after | 31.9 °C | 39 % | 31 km/h | 0.1 mm | High 31 |
| 17 Aug after | 31.9 °C | 41 % | 27 km/h | 0.1 mm | High 29 |
| 18 Aug after | 33.8 °C | 39 % | 26 km/h | 3.2 mm | Low 10 |
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 · 128Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
Frequently asked questions
- How long did the Bulungu fire last?
- GWIS (Copernicus) dates it between 27 July 2022 and 10 August 2022: 15 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 7,858 hectares (78.6 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Bulungu (7,905 ha, 0.6 %); Idiofa (5 ha, 0.0 %).
- What was the weather like?
- During the fire the temperature reached 35.6 °C, humidity dropped to 23 % and gusts hit 29 km/h. The fire danger index (FWI) reached 36, class High.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Democratic Republic of the Congo (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.
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. 128 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.