Skip to content
worldfires
ET · Ethiopia · →

Kafta Humera fire, 22 October 2025 Kafta Humera

Out · last detection 31 Oct 2025, 11:24 UTC

The fire started on 22 October 2025 in Kafta Humera, Ethiopia, and satellites saw it burning for 10 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 2,823 hectares from heat detections, spread across a single municipality.

It is the 8th largest in Tigray since 2016 (of 21 with a page). Number 63 in Ethiopia in 2025, of 127.

Compare with…
Burnt area
2,823ha
GWIS perimeter (Copernicus)
Duration
10days
22 Oct 2025 – 31 Oct 2025
Municipalities hit
1
districts
Started on
22 Oct
2025
Heat detections
73
in a single hotspot: 95 MW
Danger at start
26
High · FWI index
Average daily power
91MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 22 Oct31 Oct
31 Oct 2025

How it evolved, day by day

22 Oct 2025 · 43 MW · 6 23 Oct 2025 · 120 MW · 5 24 Oct 2025 · 11 MW · 4 25 Oct 2025 · 131 MW · 11 26 Oct 2025 · 49 MW · 9 27 Oct 2025 · 50 MW · 9 28 Oct 2025 · 37 MW · 3 29 Oct 2025 · 372 MW · 8 31 Oct 2025 · 8 MW · 2
22 Oct 24 Oct 26 Oct 28 Oct 29 Oct 31 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

38°high
31km/h · peak gust
13%lowest humidity

It had gone 25 days without rain (1 mm or more) when it started.

This area had burned before

13% of the perimeter overlaps earlier fires recorded since 2016: 351 ha in 2020, 302 ha in 2021. Part of it burned more than once, so the yearly figures add up to more than the 376 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 1.8% of the area of London (28 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. Kafta Humera where it started
    2,844 ha reached on 17 Oct
    0.5 %

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)
22 Oct 33.2 °C 28 % 24 km/h 0.0 mm High 26
23 Oct 35.4 °C 21 % 20 km/h 0.0 mm High 29
24 Oct 34.8 °C 21 % 24 km/h 0.0 mm High 31
25 Oct 36.4 °C 13 % 22 km/h 0.0 mm High 36
26 Oct 35.6 °C 16 % 31 km/h 0.0 mm Very high 42
27 Oct 35.4 °C 18 % 21 km/h 0.0 mm High 38
28 Oct 34.8 °C 22 % 22 km/h 0.0 mm High 37
29 Oct 37.6 °C 18 % 22 km/h 0.0 mm High 38
30 Oct 36.9 °C 19 % 20 km/h 0.0 mm High 36
31 Oct 33.9 °C 24 % 25 km/h 0.0 mm High 36
1 Nov after 35.8 °C 20 % 19 km/h 0.0 mm High 35
2 Nov after 36.6 °C 15 % 24 km/h 0.0 mm Very high 39
3 Nov after 35.0 °C 21 % 22 km/h 0.0 mm Very high 38
4 Nov after 35.6 °C 17 % 22 km/h 0.0 mm Very high 39
5 Nov after 35.7 °C 14 % 24 km/h 0.0 mm Very high 40
6 Nov after 37.1 °C 13 % 28 km/h 0.0 mm Very high 43
7 Nov after 36.0 °C 13 % 30 km/h 0.0 mm Very high 45
8 Nov after 35.8 °C 13 % 30 km/h 0.0 mm Very high 45
9 Nov after 35.7 °C 14 % 26 km/h 0.0 mm Very high 43
10 Nov after 36.3 °C 12 % 26 km/h 0.0 mm Very high 46

Before and after, from space

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

Before · 15 Oct 2025
After · 7 Nov 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 27 October 2025 the air beside the fire reached 34 µg/m³ of PM2.5. That day averaged 25: 1.6 times the WHO daily guideline (15).

PM2.5 peak34 µg/m³
Days over the guideline8 days
PM1045 µg/m³
Optical depth0.53
202122232425262728293031123
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 · 73Every 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 Ethiopia ›

Frequently asked questions

How long did the Kafta Humera fire last?
GWIS (Copernicus) dates it between 22 October 2025 and 31 October 2025: 10 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 2,823 hectares (28.2 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Kafta Humera (2,844 ha, 0.5 %).
What was the weather like?
During the fire the temperature reached 37.6 °C, humidity dropped to 13 % and gusts hit 31 km/h. The fire danger index (FWI) reached 42, class Very high.
Where does this data come from?
From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Ethiopia (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.

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 from the perimeter: the VIIRS detections inside it did not change them. 73 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 ADM3 (Open Data Commons Open Database License 1.0). 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.