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Wulu fire, 6 January 2016 Wulu, Tonj South

Out · last detection 20 Jan 2016, 10:55 UTC

The fire started on 6 January 2016 in Wulu, South Sudan, and satellites saw it burning for 15 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 12,028 hectares from heat detections, spread across 2 municipalities.

It is the 29th largest in Lakes since 2016 (of 158 with a page). Number 58 in South Sudan in 2016, of 244.

Compare with…
Burnt area
12,028ha
GWIS perimeter (Copernicus)
Duration
15days
6 Jan 2016 – 20 Jan 2016
Municipalities hit
2
counties
Started on
6 Jan
2016
Heat detections
328
in a single hotspot: 200 MW
Danger at start
46
Very high · FWI index
Average daily power
136MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 6 Jan20 Jan
20 Jan 2016

How it evolved, day by day

6 Jan 2016 · 16 MW · 3 7 Jan 2016 · 687 MW · 44 8 Jan 2016 · 673 MW · 116 9 Jan 2016 · 126 MW · 24 10 Jan 2016 · 59 MW · 14 11 Jan 2016 · 62 MW · 22 12 Jan 2016 · 43 MW · 8 13 Jan 2016 · 74 MW · 15 14 Jan 2016 · 86 MW · 25 15 Jan 2016 · 24 MW · 13 16 Jan 2016 · 68 MW · 9 17 Jan 2016 · 46 MW · 7 18 Jan 2016 · 54 MW · 11 19 Jan 2016 · 17 MW · 5 20 Jan 2016 · 12 MW · 2
6 Jan 7 Jan 9 Jan 12 Jan 15 Jan 18 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

38°high
43km/h · peak gust
11%lowest humidity

It had gone 35 days without rain (1 mm or more) when it started.

This area had burned before

No earlier perimeters overlap this fire since 2016, when the satellite record begins.

How big is it?

10 km
It burned the equivalent of 7.6% of the area of London (120 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. Wulu where it started
    11,338 ha reached on 2 Jan
    1.0 %
  2. 770 ha reached on 10 Jan
    0.1 %

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 2015
Built-up area< 0.1 ha
Residents≈ 100

Inside the perimeter there were about 0.01 hectares of built-up land and about 100 residents (GHSL 2015, 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.

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)
6 Jan 35.7 °C 15 % 43 km/h 0.0 mm Very high 46
7 Jan 37.3 °C 16 % 30 km/h 0.0 mm Very high 41
8 Jan 38.3 °C 14 % 35 km/h 0.0 mm Very high 44
9 Jan 37.3 °C 14 % 35 km/h 0.0 mm Very high 46
10 Jan 37.3 °C 11 % 35 km/h 0.0 mm Very high 47
11 Jan 37.4 °C 11 % 30 km/h 0.0 mm Very high 45
12 Jan 37.3 °C 11 % 27 km/h 0.0 mm Very high 44
13 Jan 36.8 °C 14 % 28 km/h 0.0 mm Very high 46
14 Jan 36.5 °C 14 % 33 km/h 0.0 mm Very high 48
15 Jan 36.3 °C 16 % 35 km/h 0.0 mm Very high 49
16 Jan 37.2 °C 19 % 36 km/h 0.0 mm Very high 48
17 Jan 37.9 °C 15 % 31 km/h 0.0 mm Very high 46
18 Jan 37.8 °C 14 % 20 km/h 0.0 mm Very high 44
19 Jan 37.3 °C 12 % 36 km/h 0.0 mm Very high 49
20 Jan 36.3 °C 11 % 35 km/h 0.0 mm Extreme 51
21 Jan after 36.7 °C 9 % 29 km/h 0.0 mm Very high 49
22 Jan after 37.6 °C 8 % 32 km/h 0.0 mm Extreme 51
23 Jan after 38.3 °C 11 % 29 km/h 0.0 mm Extreme 51
24 Jan after 37.5 °C 11 % 27 km/h 0.0 mm Extreme 51
25 Jan after 34.3 °C 10 % 37 km/h 0.0 mm Extreme 57
26 Jan after 33.8 °C 10 % 39 km/h 0.0 mm Extreme 58
27 Jan after 31.7 °C 10 % 40 km/h 0.0 mm Extreme 59
28 Jan after 32.4 °C 9 % 37 km/h 0.0 mm Extreme 57
29 Jan after 31.6 °C 10 % 37 km/h 0.0 mm Extreme 57
30 Jan after 32.9 °C 11 % 36 km/h 0.0 mm Extreme 55

Before and after, from space

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

Before · 30 Dec 2015
After · 27 Jan 2016

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 · 328Every 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 Wulu fire last?
GWIS (Copernicus) dates it between 6 January 2016 and 20 January 2016: 15 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 12,028 hectares (120.3 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Wulu (11,338 ha, 1.0 %); Tonj South (770 ha, 0.1 %).
What was the weather like?
During the fire the temperature reached 38.3 °C, humidity dropped to 11 % and gusts hit 43 km/h. The fire danger index (FWI) reached 51, 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. 328 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 2015, 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.