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Nzara fire, 6 January 2025 Nzara, Yambio

Out · last detection 15 Jan 2025, 11:38 UTC

The fire started on 6 January 2025 in Nzara, South Sudan, and satellites saw it burning for 9 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 7,716 hectares from heat detections, spread across 2 municipalities.

It is the 175th largest in Western Equatoria since 2016 (of 361 with a page). Number 161 in South Sudan in 2025, of 292.

Burnt area
7,716ha
GWIS perimeter (Copernicus)
Duration
9days
6 Jan 2025 – 14 Jan 2025
Municipalities hit
2
counties
Started on
6 Jan
2025
Heat detections
303
in a single hotspot: 289 MW
Danger at start
46
Very high · FWI index
Energy released
3.0GW
sum of detected power

Where it burned

15 Jan 2025
HOTSPOTS BY DAY 6 Jan14 Jan

How it evolved, day by day

6789101112131415

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
37km/h · peak gust
12%lowest humidity

It had gone 39 days without rain (1 mm or more) when it started.

This area had burned before

100% of the perimeter overlaps earlier fires recorded since 2016: 7,302 ha in 2016, 2,703 ha in 2017, 2,134 ha in 2019, 4,763 ha in 2020, 1,937 ha in 2021, 4,298 ha in 2022, 2,438 ha in 2023, 3,068 ha in 2024. Part of it burned more than once, so the yearly figures add up to more than the 7,767 ha that had burned before.

What happened to each town

  1. Nzara where it started
    7,047 ha reached on 6 Jan
    1.1 %
  2. 727 ha reached on 6 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)
6 Jan 37.3 °C 15 % 37 km/h 0.0 mm Very high 46
7 Jan 35.8 °C 12 % 34 km/h 0.0 mm Very high 47
8 Jan 36.0 °C 12 % 28 km/h 0.0 mm Very high 42
9 Jan 36.9 °C 12 % 30 km/h 0.0 mm Very high 44
10 Jan 37.4 °C 12 % 35 km/h 0.0 mm Very high 48
11 Jan 35.5 °C 13 % 36 km/h 0.0 mm Very high 49
12 Jan 34.8 °C 15 % 37 km/h 0.0 mm Very high 50
13 Jan 34.5 °C 12 % 32 km/h 0.0 mm Very high 48
14 Jan 36.3 °C 12 % 35 km/h 0.0 mm Very high 49
15 Jan after 37.3 °C 13 % 32 km/h 0.0 mm Extreme 51
16 Jan after 37.4 °C 15 % 37 km/h 0.0 mm Extreme 52
17 Jan after 37.7 °C 18 % 34 km/h 0.0 mm Extreme 50
18 Jan after 38.2 °C 16 % 25 km/h 0.0 mm Very high 46
19 Jan after 37.6 °C 16 % 26 km/h 0.0 mm Very high 47
20 Jan after 36.4 °C 20 % 36 km/h 0.0 mm Very high 49
21 Jan after 35.5 °C 22 % 30 km/h 0.0 mm Very high 46
22 Jan after 36.8 °C 19 % 34 km/h 0.0 mm Very high 46
23 Jan after 36.2 °C 17 % 28 km/h 0.0 mm Very high 43
24 Jan after 36.6 °C 13 % 31 km/h 0.0 mm Very high 48

Before and after, from space

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

Before · 30 Dec 2024
After · 21 Jan 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 9 January 2025 the air beside the fire reached 145 µg/m³ of PM2.5. That day averaged 95: 6.3 times the WHO daily guideline (15).

PM2.5 peak145 µg/m³
Days over the guideline14 days
PM10150 µg/m³
Optical depth1.49
4567891011121314151617
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 · 303Every 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 Nzara fire last?
GWIS (Copernicus) dates it between 6 January 2025 and 14 January 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 7,716 hectares (77.2 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Nzara (7,047 ha, 1.1 %); Yambio (727 ha, 0.1 %).
What was the weather like?
During the fire the temperature reached 37.4 °C, humidity dropped to 12 % and gusts hit 37 km/h. The fire danger index (FWI) reached 50, 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.

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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.