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Maridi fire, 14 December 2025 Maridi, Wulu, Mvolo

Out · last detection 22 Dec 2025, 11:48 UTC

The fire started on 14 December 2025 in Maridi, South Sudan, and satellites saw it burning for 9 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 18,914 hectares from heat detections, spread across 3 municipalities.

It is the 59th largest in Western Equatoria since 2016 (of 361 with a page). Number 50 in South Sudan in 2025, of 292.

Compare with…
Burnt area
18,914ha
GWIS perimeter (Copernicus)
Duration
9days
14 Dec 2025 – 22 Dec 2025
Municipalities hit
3
counties
Started on
14 Dec
2025
Heat detections
363
in a single hotspot: 132 MW
Danger at start
34
High · FWI index
Average daily power
381MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 14 Dec22 Dec
22 Dec 2025

How it evolved, day by day

14 Dec 2025 · 32 MW · 1 15 Dec 2025 · 88 MW · 5 16 Dec 2025 · 274 MW · 33 17 Dec 2025 · 228 MW · 29 18 Dec 2025 · 1,654 MW · 103 19 Dec 2025 · 756 MW · 75 20 Dec 2025 · 152 MW · 28 21 Dec 2025 · 209 MW · 17 22 Dec 2025 · 38 MW · 6
14 Dec 16 Dec 18 Dec 20 Dec 22 Dec

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

The weather it burned in

34°high
35km/h · peak gust
19%lowest humidity

It had gone 37 days without rain (1 mm or more) when it started.

This area had burned before

91% of the perimeter overlaps earlier fires recorded since 2016: 6,971 ha in 2016, 3,828 ha in 2017, 304 ha in 2018, 469 ha in 2019, 16,615 ha in 2020, 2,516 ha in 2021, 5,407 ha in 2022, 6,313 ha in 2024. Part of it burned more than once, so the yearly figures add up to more than the 17,126 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 12% of the area of London (189 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. Maridi where it started
    13,533 ha reached on 8 Dec
    1.8 %
  2. 3,786 ha reached on 17 Dec
    0.3 %
  3. 1,727 ha reached on 9 Dec
    0.3 %

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)
14 Dec 33.8 °C 26 % 35 km/h 0.0 mm High 34
15 Dec 31.3 °C 30 % 35 km/h 0.5 mm High 33
16 Dec 32.0 °C 20 % 32 km/h 0.0 mm High 35
17 Dec 33.5 °C 20 % 24 km/h 0.0 mm High 34
18 Dec 32.5 °C 19 % 34 km/h 0.0 mm High 36
19 Dec 32.4 °C 20 % 34 km/h 0.1 mm High 36
20 Dec 33.5 °C 22 % 27 km/h 0.0 mm High 33
21 Dec 34.0 °C 24 % 32 km/h 0.0 mm High 36
22 Dec 33.1 °C 28 % 26 km/h 0.1 mm High 33
23 Dec after 34.5 °C 32 % 34 km/h 0.0 mm High 34
24 Dec after 34.9 °C 25 % 30 km/h 0.0 mm High 34
25 Dec after 34.1 °C 25 % 23 km/h 0.0 mm High 32
26 Dec after 34.9 °C 23 % 26 km/h 0.0 mm High 35
27 Dec after 35.2 °C 26 % 26 km/h 0.0 mm High 34
28 Dec after 33.3 °C 20 % 28 km/h 0.0 mm High 36
29 Dec after 32.7 °C 26 % 27 km/h 0.0 mm High 35
30 Dec after 33.0 °C 18 % 23 km/h 0.0 mm High 36
31 Dec after 32.6 °C 16 % 27 km/h 0.0 mm Very high 39
1 Jan after 35.2 °C 18 % 26 km/h 0.0 mm Very high 38

Before and after, from space

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

Before · 7 Dec 2025
After · 29 Dec 2025

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 22 December 2025 the air beside the fire reached 106 µg/m³ of PM2.5. That day averaged 61: 4.1 times the WHO daily guideline (15).

PM2.5 peak106 µg/m³
Days over the guideline14 days
PM10109 µg/m³
Optical depth0.76
1213141516171819202122232425
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 · 363Every 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 Maridi fire last?
GWIS (Copernicus) dates it between 14 December 2025 and 22 December 2025: 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 18,914 hectares (189.1 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 3 municipalities: Maridi (13,533 ha, 1.8 %); Wulu (3,786 ha, 0.3 %); Mvolo (1,727 ha, 0.3 %).
What was the weather like?
During the fire the temperature reached 34.0 °C, humidity dropped to 19 % and gusts hit 35 km/h. The fire danger index (FWI) reached 36, class 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 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. 363 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.