Yaso fire, 5 January 2016 Yaso, Gida Ayana, Ibantu
The fire started on 5 January 2016 in Yaso, Ethiopia, and satellites saw it burning for 16 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 8,828 hectares from heat detections, spread across 3 municipalities.
It is the 7th largest in Oromia since 2016 (of 264 with a page). Number 26 in Ethiopia in 2016, of 309.
Compare with…
Suggestions: Yaso · 2017Yaso · 2026Yaso · 2021Wemberma · 2016
- Burnt area
- 8,828ha
- GWIS perimeter (Copernicus)
- Duration
- 16days
- 5 Jan 2016 – 20 Jan 2016
- Municipalities hit
- 3
- districts
- Started on
- 5 Jan
- 2016
- Heat detections
- 264
- in a single hotspot: 32 MW
- Danger at start
- 35
- High · FWI index
- Average daily power
- 72MW
- detected power per day, on average
Where it burned
How it evolved, day by day
Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.
The weather it burned in
It had gone more than two months 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?
London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).
Paris boundary: geoBoundaries · Institut national de l'information géographique et forestière (IGN-F) (Etalab Open License 2.0).
Madrid boundary: geoBoundaries · Open Data ESRI, IGN Central Registry of Cartography Area (CC BY 4.0).
Berlin boundary: geoBoundaries · Federal Agency for Cartography and Geodesy (dl-de/by-2-0).
This compares size, not location: both shapes are at the same scale, north up, centred on each other.
What happened to each town
-
Yaso where it started5,580 ha reached on 5 Jan2.1 %
-
2,547 ha reached on 5 Jan1.4 %
-
765 ha reached on 9 Jan0.9 %
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 2015Inside the perimeter there was no noticeable built-up land and almost nobody lived there (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 | 33.3 °C | 26 % | 23 km/h | 0.0 mm | High 35 |
| 6 Jan | 31.8 °C | 26 % | 27 km/h | 0.0 mm | High 34 |
| 7 Jan | 33.9 °C | 18 % | 30 km/h | 0.0 mm | High 36 |
| 8 Jan | 33.3 °C | 17 % | 22 km/h | 0.0 mm | High 33 |
| 9 Jan | 34.5 °C | 15 % | 34 km/h | 0.0 mm | Very high 41 |
| 10 Jan | 33.0 °C | 13 % | 30 km/h | 0.0 mm | Very high 40 |
| 11 Jan | 33.6 °C | 15 % | 30 km/h | 0.0 mm | Very high 40 |
| 12 Jan | 33.2 °C | 22 % | 32 km/h | 0.0 mm | Very high 38 |
| 13 Jan | 31.0 °C | 19 % | 26 km/h | 0.0 mm | Very high 39 |
| 14 Jan | 33.4 °C | 19 % | 26 km/h | 0.0 mm | Very high 40 |
| 15 Jan | 32.2 °C | 19 % | 30 km/h | 0.0 mm | Very high 39 |
| 16 Jan | 32.0 °C | 19 % | 31 km/h | 0.0 mm | Very high 40 |
| 17 Jan | 33.4 °C | 18 % | 31 km/h | 0.0 mm | Very high 42 |
| 18 Jan | 32.1 °C | 17 % | 34 km/h | 0.0 mm | Very high 44 |
| 19 Jan | 33.1 °C | 15 % | 34 km/h | 0.0 mm | Very high 45 |
| 20 Jan | 33.7 °C | 15 % | 29 km/h | 0.0 mm | Very high 41 |
| 21 Jan after | 34.5 °C | 17 % | 30 km/h | 0.0 mm | Very high 41 |
| 22 Jan after | 33.3 °C | 21 % | 37 km/h | 0.0 mm | Very high 44 |
| 23 Jan after | 34.0 °C | 19 % | 28 km/h | 0.0 mm | Very high 44 |
| 24 Jan after | 33.1 °C | 20 % | 32 km/h | 0.0 mm | Very high 44 |
| 25 Jan after | 34.7 °C | 15 % | 32 km/h | 0.0 mm | Very high 45 |
| 26 Jan after | 33.9 °C | 22 % | 34 km/h | 0.0 mm | Very high 42 |
| 27 Jan after | 33.5 °C | 21 % | 43 km/h | 0.0 mm | Very high 46 |
| 28 Jan after | 32.8 °C | 19 % | 39 km/h | 0.0 mm | Very high 46 |
| 29 Jan after | 31.9 °C | 18 % | 38 km/h | 0.0 mm | Very high 46 |
| 30 Jan after | 32.9 °C | 18 % | 26 km/h | 0.0 mm | Very high 41 |
Before and after, from space
Drag the line to compare the same ground before the fire and after it.
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 · 264Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 11,905 haYaso7 January 2017 · 8 days · 3 km away
- 7,432 haYaso20 February 2026 · 14 days · 5 km away
- 8,938 haYaso27 January 2021 · 8 days · 10 km away
- 13,228 haWembermaJanuary 2016 · 10 days · 20 km away
- 7,791 haDibat23 January 2020 · 15 days · 22 km away
- 8,143 haDibat29 February 2016 · 8 days · 29 km away
Frequently asked questions
- How long did the Yaso fire last?
- GWIS (Copernicus) dates it between 5 January 2016 and 20 January 2016: 16 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 8,828 hectares (88.3 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 3 municipalities: Yaso (5,580 ha, 2.1 %); Gida Ayana (2,547 ha, 1.4 %); Ibantu (765 ha, 0.9 %).
- What was the weather like?
- During the fire the temperature reached 34.5 °C, humidity dropped to 13 % and gusts hit 34 km/h. The fire danger index (FWI) reached 45, 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.
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
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. 264 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.
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.