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Pochalla fire, 13 January 2026 Pochalla

Out · last detection 19 Jan 2026, 11:24 UTC

The fire started on 13 January 2026 in Pochalla, South Sudan, and satellites saw it burning for 7 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 7,370 hectares from heat detections, spread across a single municipality.

It is the 210th largest in Jonglei since 2016 (of 428 with a page). Number 88 in South Sudan in 2026, of 191.

Compare with…
Burnt area
7,370ha
GWIS perimeter (Copernicus)
Duration
7days
13 Jan 2026 – 19 Jan 2026
Municipalities hit
1
counties
Started on
13 Jan
2026
Heat detections
332
in a single hotspot: 99 MW
Danger at start
44
Very high · FWI index
Average daily power
559MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 13 Jan19 Jan
19 Jan 2026

How it evolved, day by day

13 Jan 2026 · 1,536 MW · 115 14 Jan 2026 · 298 MW · 44 15 Jan 2026 · 427 MW · 54 16 Jan 2026 · 489 MW · 39 17 Jan 2026 · 535 MW · 28 18 Jan 2026 · 579 MW · 47 19 Jan 2026 · 48 MW · 5
13 Jan 14 Jan 15 Jan 16 Jan 17 Jan 18 Jan 19 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

37°high
31km/h · peak gust
20%lowest humidity

It had gone more than two months without rain (1 mm or more) when it started.

This area had burned before

96% of the perimeter overlaps earlier fires recorded since 2016: 4,727 ha in 2016, 2,980 ha in 2017, 16 ha in 2019, 979 ha in 2021, 1,243 ha in 2022, 729 ha in 2023, 2,223 ha in 2024, 1,362 ha in 2025. Part of it burned more than once, so the yearly figures add up to more than the 7,056 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 4.7% of the area of London (74 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. Pochalla where it started
    7,413 ha reached on 13 Jan
    0.9 %

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 2025
Built-up area< 0.1 ha
Residents< 20

Inside the perimeter there was no noticeable built-up land and almost nobody lived there (GHSL 2025, 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. The GHSL 2025 epoch is a projection made from 2020 and earlier data.

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)
13 Jan 37.1 °C 21 % 31 km/h 0.0 mm Very high 44
14 Jan 35.4 °C 24 % 26 km/h 0.0 mm Very high 41
15 Jan 35.9 °C 22 % 26 km/h 0.0 mm Very high 42
16 Jan 34.7 °C 23 % 21 km/h 0.0 mm Very high 44
17 Jan 36.4 °C 20 % 24 km/h 0.0 mm Very high 44
18 Jan 37.2 °C 27 % 27 km/h 0.0 mm Very high 42
19 Jan 36.5 °C 24 % 29 km/h 0.0 mm Very high 42
20 Jan after 37.6 °C 29 % 26 km/h 0.2 mm Very high 40
21 Jan after 38.7 °C 24 % 36 km/h 0.0 mm Very high 47
22 Jan after 38.6 °C 19 % 35 km/h 0.0 mm Very high 49
23 Jan after 37.9 °C 20 % 27 km/h 0.0 mm Very high 44
24 Jan after 39.3 °C 18 % 39 km/h 0.0 mm Extreme 52
25 Jan after 39.7 °C 18 % 30 km/h 0.0 mm Very high 46
26 Jan after 39.4 °C 17 % 27 km/h 0.0 mm Very high 44
27 Jan after 37.9 °C 24 % 34 km/h 0.1 mm Very high 50
28 Jan after 38.0 °C 26 % 30 km/h 0.0 mm Very high 44
29 Jan after 37.5 °C 23 % 28 km/h 0.0 mm Very high 43

Before and after, from space

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

Before · 6 Jan 2026
After · 26 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 16 January 2026 the air beside the fire reached 112 µg/m³ of PM2.5. That day averaged 78: 5.2 times the WHO daily guideline (15).

PM2.5 peak112 µg/m³
Days over the guideline10 days
PM10116 µg/m³
Optical depth1.95
1213141516171819202122
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 · 332Every 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 Pochalla fire last?
According to the heat detections seen by satellite inside the perimeter, it burned from 13 January 2026 to 19 January 2026 (7 days). The perimeter dates it from 14 January 2026 to 19 January 2026.
How much area did it burn?
The perimeter GWIS (Copernicus) rebuilt from heat detections is 7,370 hectares (73.7 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Pochalla (7,413 ha, 0.9 %).
What was the weather like?
During the fire the temperature reached 37.2 °C, humidity dropped to 20 % and gusts hit 31 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

History of this page · 1 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
  1. Start date: 14 January 2026 → 13 January 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 adjusted with the VIIRS detections inside the perimeter, which said 14 January 2026 to 19 January 2026. 332 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 2025, 100 m cells), summed inside the perimeter: an estimate of what was there, not a damage count.

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.