Skip to content
worldfires
SD · Sudan · →

Tawila fire, October 2025 Tawila, Al Fasher, Dar As Salam

Out · last detection 24 Oct 2025, 11:55 UTC

The fire started on 16 October 2025 in Tawila, Sudan, and satellites saw it burning for 9 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 9,276 hectares from heat detections, spread across 3 municipalities.

It is the 6th largest in North Darfur since 2016 (of 140 with a page). Number 29 in Sudan in 2025, of 390.

Compare with…
Burnt area
9,276ha
GWIS perimeter (Copernicus)
Duration
9days
16 Oct 2025 – 24 Oct 2025
Municipalities hit
3
localities
Started on
16 Oct
2025
Heat detections
169
in a single hotspot: 41 MW
Danger at start
46
Very high · FWI index
Average daily power
266MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 16 Oct24 Oct
24 Oct 2025

How it evolved, day by day

16 Oct 2025 · 88 MW · 16 19 Oct 2025 · 34 MW · 8 20 Oct 2025 · 186 MW · 15 21 Oct 2025 · 46 MW · 18 22 Oct 2025 · 1,171 MW · 82 23 Oct 2025 · 323 MW · 27 24 Oct 2025 · 11 MW · 3
16 Oct 19 Oct 20 Oct 21 Oct 22 Oct 23 Oct 24 Oct

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
38km/h · peak gust
9%lowest humidity

It had gone 21 days without rain (1 mm or more) when it started.

This area had burned before

14% of the perimeter overlaps earlier fires recorded since 2016: 936 ha in 2023, 348 ha in 2024.

How big is it?

10 km
It burned the equivalent of 5.9% of the area of London (93 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. Tawila where it started
    4,869 ha reached on 16 Oct
    1.4 %
  2. 4,271 ha reached on 19 Oct
    0.5 %
  3. 192 ha reached on 22 Oct
    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 2025
Built-up area5.6 ha
Residents≈ 900

Inside the perimeter there were about 5.6 hectares of built-up land and about 900 residents (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)
16 Oct 34.8 °C 14 % 24 km/h 0.0 mm Very high 46
17 Oct 35.7 °C 13 % 30 km/h 0.0 mm Extreme 52
18 Oct 36.7 °C 12 % 29 km/h 0.0 mm Very high 49
19 Oct 36.1 °C 11 % 37 km/h 0.0 mm Extreme 55
20 Oct 35.4 °C 9 % 38 km/h 0.0 mm Extreme 55
21 Oct 35.1 °C 10 % 30 km/h 0.0 mm Extreme 51
22 Oct 34.4 °C 9 % 25 km/h 0.0 mm Very high 47
23 Oct 35.1 °C 12 % 28 km/h 0.0 mm Very high 48
24 Oct 34.9 °C 17 % 28 km/h 0.0 mm Very high 48
25 Oct after 31.1 °C 22 % 17 km/h 0.0 mm Very high 40
26 Oct after 35.6 °C 13 % 33 km/h 0.0 mm Very high 50
27 Oct after 34.3 °C 11 % 30 km/h 0.0 mm Very high 49
28 Oct after 34.5 °C 11 % 26 km/h 0.0 mm Very high 46
29 Oct after 34.7 °C 11 % 27 km/h 0.0 mm Very high 48
30 Oct after 34.3 °C 12 % 30 km/h 0.0 mm Extreme 51
31 Oct after 33.9 °C 11 % 30 km/h 0.0 mm Extreme 52
1 Nov after 33.8 °C 12 % 28 km/h 0.0 mm Very high 50
2 Nov after 34.3 °C 13 % 20 km/h 0.0 mm Very high 47
3 Nov after 35.0 °C 13 % 24 km/h 0.0 mm Very high 49

Before and after, from space

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

Before · 9 Oct 2025
After · 31 Oct 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 24 October 2025 the air beside the fire reached 36 µg/m³ of PM2.5. That day averaged 29: 1.9 times the WHO daily guideline (15).

PM2.5 peak36 µg/m³
Days over the guideline11 days
PM10124 µg/m³
Optical depth0.57
1718192021222324252627
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 · 169Every 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 Sudan ›

Frequently asked questions

How long did the Tawila fire last?
According to the heat detections seen by satellite inside the perimeter, it burned from 16 October 2025 to 24 October 2025 (9 days). The perimeter dates it from 19 October 2025 to 24 October 2025.
How much area did it burn?
The perimeter GWIS (Copernicus) rebuilt from heat detections is 9,276 hectares (92.8 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 3 municipalities: Tawila (4,869 ha, 1.4 %); Al Fasher (4,271 ha, 0.5 %); Dar As Salam (192 ha, 0.1 %).
What was the weather like?
During the fire the temperature reached 36.7 °C, humidity dropped to 9 % and gusts hit 38 km/h. The fire danger index (FWI) reached 55, class Extreme.
Where does this data come from?
From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of 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: 19 October 2025 → 16 October 2025.

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.

Report an error
What do you think is wrong?

We will only use your email to reply about this report. Privacy.

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 19 October 2025 to 24 October 2025. 169 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.