Panyikang fire, 25 November 2019 Panyikang, Malakal
The fire started on 25 November 2019 in Panyikang, South Sudan, and satellites saw it burning for 15 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 12,767 hectares from heat detections, spread across 2 municipalities.
It is the 55th largest in Upper Nile since 2016 (of 284 with a page). Number 35 in South Sudan in 2019, of 150.
- Burnt area
- 12,767ha
- GWIS perimeter (Copernicus)
- Duration
- 15days
- 25 Nov 2019 – 9 Dec 2019
- Municipalities hit
- 2
- counties
- Started on
- 25 Nov
- 2019
- Heat detections
- 434
- in a single hotspot: 205 MW
- Danger at start
- 22
- High · FWI index
- Energy released
- 6.6GW
- 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 15 days without rain (1 mm or more) when it started.
This area had burned before
78% of the perimeter overlaps earlier fires recorded since 2016: 5,146 ha in 2016, 7,186 ha in 2017, 1,193 ha in 2018. Part of it burned more than once, so the yearly figures add up to more than the 9,924 ha that had burned before.
What happened to each town
-
Panyikang where it started12,774 ha reached on 25 Nov2.5 %
-
82 ha reached on 8 Dec0.1 %
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) |
|---|---|---|---|---|---|
| 25 Nov | 33.6 °C | 33 % | 17 km/h | 0.0 mm | High 22 |
| 26 Nov | 34.0 °C | 35 % | 23 km/h | 0.0 mm | High 22 |
| 27 Nov | 34.6 °C | 32 % | 24 km/h | 0.0 mm | High 22 |
| 28 Nov | 36.4 °C | 18 % | 31 km/h | 0.0 mm | High 31 |
| 29 Nov | 35.8 °C | 21 % | 37 km/h | 0.0 mm | High 35 |
| 30 Nov | 35.0 °C | 21 % | 35 km/h | 0.0 mm | High 35 |
| 1 Dec | 35.1 °C | 18 % | 34 km/h | 0.0 mm | High 34 |
| 2 Dec | 34.7 °C | 21 % | 30 km/h | 0.0 mm | High 34 |
| 3 Dec | 35.6 °C | 19 % | 31 km/h | 0.0 mm | High 34 |
| 4 Dec | 35.3 °C | 19 % | 35 km/h | 0.0 mm | High 37 |
| 5 Dec | 34.8 °C | 20 % | 35 km/h | 0.0 mm | High 38 |
| 6 Dec | 35.4 °C | 21 % | 37 km/h | 0.0 mm | Very high 40 |
| 7 Dec | 35.3 °C | 24 % | 38 km/h | 0.0 mm | Very high 40 |
| 8 Dec | 35.5 °C | 24 % | 43 km/h | 0.0 mm | Very high 44 |
| 9 Dec | 34.5 °C | 21 % | 41 km/h | 0.0 mm | Very high 43 |
| 10 Dec after | 34.7 °C | 20 % | 34 km/h | 0.0 mm | Very high 40 |
| 11 Dec after | 34.9 °C | 22 % | 23 km/h | 0.0 mm | High 33 |
| 12 Dec after | 35.5 °C | 20 % | 23 km/h | 0.0 mm | High 34 |
| 13 Dec after | 35.3 °C | 20 % | 26 km/h | 0.0 mm | High 36 |
| 14 Dec after | 35.3 °C | 17 % | 31 km/h | 0.0 mm | Very high 40 |
| 15 Dec after | 35.2 °C | 21 % | 29 km/h | 0.0 mm | Very high 39 |
| 16 Dec after | 34.5 °C | 16 % | 37 km/h | 0.0 mm | Very high 46 |
| 17 Dec after | 33.7 °C | 15 % | 40 km/h | 0.0 mm | Very high 48 |
| 18 Dec after | 34.2 °C | 23 % | 41 km/h | 0.0 mm | Very high 47 |
| 19 Dec after | 34.9 °C | 19 % | 39 km/h | 0.0 mm | Very high 46 |
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 · 434Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 16,784 haPanyikang10 December 2017 · 15 days · 10 km away
- 31,574 haPanyikang27 November 2019 · 15 days · 17 km away
- 43,133 haPanyikang8 December 2025 · 24 days · 22 km away
- 36,698 haFashoda17 November 2021 · 11 days · 24 km away
- 22,311 haMalakalNovember 2019 · 18 days · 32 km away
- 17,223 haCanal/Pigi9 December 2016 · 9 days · 33 km away
Frequently asked questions
- How long did the Panyikang fire last?
- GWIS (Copernicus) dates it between 25 November 2019 and 9 December 2019: 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 12,767 hectares (127.7 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Panyikang (12,774 ha, 2.5 %); Malakal (82 ha, 0.1 %).
- What was the weather like?
- During the fire the temperature reached 36.4 °C, humidity dropped to 18 % and gusts hit 43 km/h. The fire danger index (FWI) reached 44, class Very high.
- 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.