Malakal fire, 12 December 2025 Fashoda, Malakal, Panyikang
The fire started on 12 December 2025 in Malakal, South Sudan, and satellites saw it burning for 12 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 8,619 hectares from heat detections, spread across 3 municipalities.
It is the 106th largest in Upper Nile since 2016 (of 284 with a page). Number 140 in South Sudan in 2025, of 292.
- Burnt area
- 8,619ha
- GWIS perimeter (Copernicus)
- Duration
- 12days
- 12 Dec 2025 – 23 Dec 2025
- Municipalities hit
- 3
- counties
- Started on
- 12 Dec
- 2025
- Heat detections
- 197
- in a single hotspot: 108 MW
- Danger at start
- 50
- Very high · FWI index
- Energy released
- 3.1GW
- 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 36 days without rain (1 mm or more) when it started.
This area had burned before
97% of the perimeter overlaps earlier fires recorded since 2016: 1,881 ha in 2016, 1,536 ha in 2017, 511 ha in 2018, 3,110 ha in 2019, 3,579 ha in 2020, 5,225 ha in 2021, 4,503 ha in 2022, 553 ha in 2023, 3,757 ha in 2024. Part of it burned more than once, so the yearly figures add up to more than the 8,348 ha that had burned before.
What happened to each town
-
3,810 ha reached on 16 Dec1.0 %
-
Malakal where it started3,188 ha reached on 12 Dec4.2 %
-
1,678 ha reached on 16 Dec0.3 %
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 Dec | 34.5 °C | 17 % | 40 km/h | 0.0 mm | Very high 50 |
| 13 Dec | 34.6 °C | 20 % | 38 km/h | 0.0 mm | Very high 49 |
| 14 Dec | 34.4 °C | 23 % | 38 km/h | 0.0 mm | Very high 47 |
| 15 Dec | 33.2 °C | 17 % | 43 km/h | 0.0 mm | Extreme 52 |
| 16 Dec | 32.1 °C | 14 % | 41 km/h | 0.0 mm | Extreme 51 |
| 17 Dec | 32.9 °C | 16 % | 40 km/h | 0.0 mm | Extreme 50 |
| 18 Dec | 32.1 °C | 14 % | 42 km/h | 0.0 mm | Extreme 53 |
| 19 Dec | 34.4 °C | 18 % | 38 km/h | 0.0 mm | Extreme 51 |
| 20 Dec | 33.7 °C | 17 % | 36 km/h | 0.0 mm | Very high 49 |
| 21 Dec | 34.0 °C | 16 % | 34 km/h | 0.0 mm | Very high 48 |
| 22 Dec | 34.3 °C | 15 % | 33 km/h | 0.0 mm | Very high 48 |
| 23 Dec | 34.5 °C | 16 % | 31 km/h | 0.0 mm | Very high 46 |
| 24 Dec after | 35.9 °C | 19 % | 33 km/h | 0.0 mm | Very high 47 |
| 25 Dec after | 36.8 °C | 18 % | 28 km/h | 0.0 mm | Very high 45 |
| 26 Dec after | 36.4 °C | 19 % | 32 km/h | 0.0 mm | Very high 48 |
| 27 Dec after | 35.9 °C | 20 % | 36 km/h | 0.0 mm | Extreme 52 |
| 28 Dec after | 35.1 °C | 15 % | 40 km/h | 0.0 mm | Extreme 55 |
| 29 Dec after | 35.1 °C | 11 % | 37 km/h | 0.0 mm | Extreme 54 |
| 30 Dec after | 33.8 °C | 11 % | 45 km/h | 0.0 mm | Extreme 60 |
| 31 Dec after | 32.9 °C | 12 % | 39 km/h | 0.0 mm | Extreme 56 |
| 1 Jan after | 35.1 °C | 13 % | 34 km/h | 0.0 mm | Extreme 53 |
| 2 Jan after | 35.2 °C | 14 % | 29 km/h | 0.0 mm | Extreme 50 |
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.
The smoke
CAMS · CopernicusOn 13 December 2025 the air beside the fire reached 84 µg/m³ of PM2.5. That day averaged 32: 2.1 times the WHO daily guideline (15).
Particles from the Copernicus CAMS model at the centre of the perimeter; these are not measurements in each town. The pale bar is the worst hour, the solid one the daily average.
Open-Meteo.com (CC BY 4.0) · Copernicus Atmosphere Monitoring Service (CAMS)
Detections table · 197Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 36,698 haFashoda17 November 2021 · 11 days · 20 km away
- 22,311 haMalakalNovember 2019 · 18 days · 29 km away
- 26,225 haGhadeer19 December 2025 · 22 days · 31 km away
- 31,574 haPanyikang27 November 2019 · 15 days · 34 km away
- 19,743 haGhadeer8 December 2025 · 17 days · 36 km away
- 43,133 haPanyikang8 December 2025 · 24 days · 37 km away
Frequently asked questions
- How long did the Malakal fire last?
- GWIS (Copernicus) dates it between 12 December 2025 and 23 December 2025: 12 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 8,619 hectares (86.2 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 3 municipalities: Fashoda (3,810 ha, 1.0 %); Malakal (3,188 ha, 4.2 %); Panyikang (1,678 ha, 0.3 %).
- What was the weather like?
- During the fire the temperature reached 34.6 °C, humidity dropped to 14 % and gusts hit 43 km/h. The fire danger index (FWI) reached 53, class Extreme.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of South Sudan (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
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.