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Pibor fire, 7 January 2026 Pibor, Kapoeta North, Lafon

Out · last detection 15 Jan 2026, 23:36 UTC

The fire started on 7 January 2026 in Pibor, South Sudan, and satellites saw it burning for 9 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 25,546 hectares from heat detections, spread across 3 municipalities.

It is the 19th largest in Jonglei since 2016 (of 427 with a page). Number 11 in South Sudan in 2026, of 182.

Burnt area
25,546ha
GWIS perimeter (Copernicus)
Duration
9days
7 Jan 2026 – 15 Jan 2026
Municipalities hit
3
counties
Started on
7 Jan
2026
Heat detections
626
in a single hotspot: 266 MW
Danger at start
58
Extreme · FWI index
Energy released
11.0GW
sum of detected power

Where it burned

15 Jan 2026
HOTSPOTS BY DAY 7 Jan15 Jan

How it evolved, day by day

789101112131415

Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.

The weather it burned in

38°high
47km/h · peak gust
19%lowest humidity

It had gone 24 days without rain (1 mm or more) when it started.

This area had burned before

75% of the perimeter overlaps earlier fires recorded since 2016: 6,052 ha in 2016, 92 ha in 2017, 6,330 ha in 2018, 8,703 ha in 2021, 5,645 ha in 2022, 1,525 ha in 2023, 8,775 ha in 2024, 851 ha in 2025. Part of it burned more than once, so the yearly figures add up to more than the 19,180 ha that had burned before.

What happened to each town

  1. Pibor where it started
    21,680 ha reached on 7 Jan
    0.6 %
  2. 2,944 ha reached on 7 Jan
    0.5 %
  3. 1,070 ha reached on 7 Jan
    0.1 %

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)
7 Jan 37.8 °C 19 % 47 km/h 0.0 mm Extreme 58
8 Jan 36.7 °C 21 % 26 km/h 0.0 mm Very high 43
9 Jan 36.9 °C 20 % 36 km/h 0.0 mm Very high 49
10 Jan 36.6 °C 19 % 44 km/h 0.0 mm Extreme 58
11 Jan 36.9 °C 25 % 40 km/h 0.0 mm Extreme 51
12 Jan 36.6 °C 24 % 22 km/h 0.0 mm Very high 40
13 Jan 38.1 °C 20 % 43 km/h 0.0 mm Extreme 54
14 Jan 36.8 °C 20 % 41 km/h 0.0 mm Extreme 52
15 Jan 36.6 °C 22 % 30 km/h 0.0 mm Very high 46
16 Jan after 34.9 °C 23 % 33 km/h 0.0 mm Very high 46
17 Jan after 36.6 °C 19 % 26 km/h 0.0 mm Very high 42
18 Jan after 36.8 °C 23 % 19 km/h 0.0 mm Very high 42
19 Jan after 36.7 °C 24 % 27 km/h 0.0 mm Very high 44
20 Jan after 38.4 °C 25 % 36 km/h 0.0 mm Very high 49
21 Jan after 38.7 °C 22 % 52 km/h 0.0 mm Extreme 63
22 Jan after 39.1 °C 17 % 63 km/h 0.0 mm Very extreme 73
23 Jan after 39.1 °C 17 % 58 km/h 0.0 mm Extreme 69
24 Jan after 39.7 °C 18 % 54 km/h 0.0 mm Extreme 66
25 Jan after 39.7 °C 20 % 43 km/h 0.0 mm Extreme 58

Before and after, from space

Drag the line to compare the same ground before the fire and after it.

Before · 31 Dec 2025
After · 22 Jan 2026

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 · Copernicus

On 12 January 2026 the air beside the fire reached 97 µg/m³ of PM2.5. That day averaged 35: 2.3 times the WHO daily guideline (15).

PM2.5 peak97 µg/m³
Days over the guideline8 days
PM10102 µg/m³
Optical depth0.72
56789101112131415161718
Good Fair Moderate Poor Very poor Extremely poor

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 · 626Every satellite heat detection, one by one, with time, satellite, power and coordinates.
⬇ Download CSV Times in UTC. Each detection is a 375 m pixel: a large fire yields hundreds per pass.
Date and timeSatelliteFRP (MW)LatLon

Other fires nearby

All fires in South Sudan ›

Frequently asked questions

How long did the Pibor fire last?
GWIS (Copernicus) dates it between 7 January 2026 and 15 January 2026: 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 25,546 hectares (255.5 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 3 municipalities: Pibor (21,680 ha, 0.6 %); Kapoeta North (2,944 ha, 0.5 %); Lafon (1,070 ha, 0.1 %).
What was the weather like?
During the fire the temperature reached 38.1 °C, humidity dropped to 19 % and gusts hit 47 km/h. The fire danger index (FWI) reached 58, 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.

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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.