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Pibor fire, 13 January 2019 Pibor

Out · last detection 15 Jan 2019, 22:34 UTC

The fire started on 13 January 2019 in Pibor, South Sudan, and satellites saw it burning for 3 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 6,977 hectares from heat detections, spread across a single municipality.

It is the 235th largest in Jonglei since 2016 (of 427 with a page). Number 95 in South Sudan in 2019, of 150.

Compare with…
Burnt area
6,977ha
GWIS perimeter (Copernicus)
Duration
3days
13 Jan 2019 – 15 Jan 2019
Municipalities hit
1
counties
Started on
13 Jan
2019
Heat detections
234
in a single hotspot: 252 MW
Danger at start
64
Extreme · FWI index
Average daily power
1.8GW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 13 Jan15 Jan
15 Jan 2019

How it evolved, day by day

13 Jan 2019 · 1,400 MW · 92 14 Jan 2019 · 3,775 MW · 129 15 Jan 2019 · 97 MW · 13
13 Jan 14 Jan 15 Jan

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

The weather it burned in

40°high
52km/h · peak gust
16%lowest humidity

It had gone 56 days without rain (1 mm or more) when it started.

This area had burned before

34% of the perimeter overlaps earlier fires recorded since 2016: 604 ha in 2016, 1,970 ha in 2018. Part of it burned more than once, so the yearly figures add up to more than the 2,387 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 4.4% of the area of London (70 km² against 1,583 km²).

London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).

This compares size, not location: both shapes are at the same scale, north up, centred on each other.

What happened to each town

  1. Pibor where it started
    7,020 ha reached on 13 Jan
    0.2 %

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.

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)
13 Jan 38.9 °C 16 % 52 km/h 0.0 mm Extreme 64
14 Jan 39.2 °C 16 % 48 km/h 0.0 mm Extreme 62
15 Jan 39.7 °C 16 % 25 km/h 0.0 mm Very high 45
16 Jan after 38.7 °C 14 % 30 km/h 0.0 mm Very high 47
17 Jan after 39.3 °C 18 % 28 km/h 0.0 mm Very high 49
18 Jan after 38.9 °C 17 % 28 km/h 0.0 mm Extreme 50
19 Jan after 38.8 °C 18 % 32 km/h 0.0 mm Extreme 51
20 Jan after 39.1 °C 15 % 28 km/h 0.0 mm Very high 47
21 Jan after 38.7 °C 17 % 27 km/h 0.0 mm Very high 49
22 Jan after 39.8 °C 15 % 32 km/h 0.0 mm Extreme 51
23 Jan after 38.9 °C 17 % 30 km/h 0.0 mm Very high 49
24 Jan after 38.8 °C 18 % 43 km/h 0.0 mm Extreme 60
25 Jan after 39.5 °C 19 % 47 km/h 0.0 mm Extreme 64

Before and after, from space

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

Before · 6 Jan 2019
After · 22 Jan 2019

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 · 234Every 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 13 January 2019 and 15 January 2019: 3 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 6,977 hectares (69.8 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Pibor (7,020 ha, 0.2 %).
What was the weather like?
During the fire the temperature reached 39.7 °C, humidity dropped to 16 % and gusts hit 52 km/h. The fire danger index (FWI) reached 64, 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

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.

RSS Changes to this page

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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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. 234 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.

How we build fire pages: methodology ›

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.