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Bambasi fire, January 2016 Bambasi, Assosa

Out · last detection 23 Jan 2016, 22:34 UTC

The fire started on 9 January 2016 in Bambasi, Ethiopia, and satellites saw it burning for 14 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 15,723 hectares from heat detections, spread across 2 municipalities.

It is the 13th largest in Beneshangul Gumu since 2016 (of 699 with a page). Number 10 in Ethiopia in 2016, of 309.

Compare with…
Burnt area
15,723ha
GWIS perimeter (Copernicus)
Duration
14days
9 Jan 2016 – 22 Jan 2016
Municipalities hit
2
districts
Started on
9 Jan
2016
Heat detections
509
in a single hotspot: 409 MW
Danger at start
25
High · FWI index
Average daily power
627MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 9 Jan22 Jan
23 Jan 2016

How it evolved, day by day

9 Jan 2016 · 38 MW · 10 10 Jan 2016 · 265 MW · 25 11 Jan 2016 · 612 MW · 39 12 Jan 2016 · 1,174 MW · 49 13 Jan 2016 · 241 MW · 7 14 Jan 2016 · 102 MW · 11 15 Jan 2016 · 49 MW · 3 17 Jan 2016 · 590 MW · 20 18 Jan 2016 · 2,090 MW · 62 19 Jan 2016 · 2,030 MW · 100 20 Jan 2016 · 794 MW · 73 21 Jan 2016 · 444 MW · 43 22 Jan 2016 · 13 MW · 1 23 Jan 2016 · 333 MW · 25
9 Jan 11 Jan 13 Jan 15 Jan 18 Jan 20 Jan 22 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

31°high
41km/h · peak gust
18%lowest humidity

It had gone 32 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 9.9% of the area of London (157 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. Bambasi where it started
    14,002 ha reached on 5 Jan
    10 %
  2. 1,816 ha reached on 9 Jan
    0.6 %

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 area0.93 ha
Residents≈ 350

Inside the perimeter there were about 0.93 hectares of built-up land and about 350 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)
5 Jan 30.4 °C 27 % 25 km/h 0.0 mm High 25
6 Jan 27.8 °C 30 % 30 km/h 0.0 mm High 25
7 Jan 30.2 °C 25 % 34 km/h 0.0 mm High 27
8 Jan 30.9 °C 22 % 28 km/h 0.0 mm High 27
9 Jan 30.5 °C 22 % 32 km/h 0.0 mm High 28
10 Jan 29.9 °C 18 % 32 km/h 0.0 mm High 30
11 Jan 30.4 °C 22 % 35 km/h 0.0 mm High 32
12 Jan 30.4 °C 25 % 30 km/h 0.0 mm High 30
13 Jan 29.2 °C 22 % 28 km/h 0.0 mm High 30
14 Jan 29.7 °C 23 % 26 km/h 0.0 mm High 31
15 Jan 28.1 °C 26 % 30 km/h 0.0 mm High 29
16 Jan 28.2 °C 29 % 30 km/h 0.0 mm High 28
17 Jan 30.3 °C 23 % 31 km/h 0.0 mm High 29
18 Jan 28.7 °C 20 % 31 km/h 0.0 mm High 31
19 Jan 29.1 °C 19 % 33 km/h 0.0 mm High 32
20 Jan 29.9 °C 18 % 30 km/h 0.0 mm High 32
21 Jan 30.2 °C 21 % 30 km/h 0.0 mm High 33
22 Jan 30.0 °C 26 % 37 km/h 0.0 mm High 34
23 Jan after 30.4 °C 23 % 31 km/h 0.0 mm High 33
24 Jan after 29.1 °C 25 % 32 km/h 0.0 mm High 34
25 Jan after 29.9 °C 23 % 36 km/h 0.0 mm High 37
26 Jan after 29.5 °C 27 % 36 km/h 0.0 mm High 36
27 Jan after 28.4 °C 25 % 41 km/h 0.0 mm Very high 39
28 Jan after 27.6 °C 23 % 38 km/h 0.0 mm High 37
29 Jan after 27.1 °C 22 % 35 km/h 0.0 mm High 36
30 Jan after 29.6 °C 20 % 34 km/h 0.0 mm High 36
31 Jan after 28.8 °C 22 % 30 km/h 0.0 mm High 35
1 Feb after 30.4 °C 19 % 30 km/h 0.0 mm High 34
2 Feb after 29.6 °C 20 % 32 km/h 0.0 mm High 36
3 Feb after 30.8 °C 22 % 32 km/h 0.0 mm High 36
4 Feb after 30.9 °C 22 % 30 km/h 0.0 mm High 36
5 Feb after 30.4 °C 21 % 29 km/h 0.0 mm High 35
6 Feb after 30.8 °C 19 % 32 km/h 0.0 mm High 38
7 Feb after 30.4 °C 20 % 34 km/h 0.0 mm Very high 39
8 Feb after 30.8 °C 22 % 40 km/h 0.0 mm Very high 42

Before and after, from space

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

Before · 2 Jan 2016
After · 29 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 · 509Every 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 Bambasi fire last?
GWIS (Copernicus) dates it between 9 January 2016 and 22 January 2016: 14 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 15,723 hectares (157.2 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Bambasi (14,002 ha, 10 %); Assosa (1,816 ha, 0.6 %).
What was the weather like?
During the fire the temperature reached 30.9 °C, humidity dropped to 18 % and gusts hit 41 km/h. The fire danger index (FWI) reached 39, 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.

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How we know this
  • Perimeter: GWIS (Copernicus), rebuilt from heat detections rather than mapped on imagery; 2 polygons grouped in this page.
  • Dates from the perimeter: the VIIRS detections inside it did not change them. 509 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 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.