Marromeu fire, 30 September 2016 Marromeu
The fire started on 30 September 2016 in Marromeu, Mozambique, and satellites saw it burning for 31 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 14,186 hectares from heat detections, spread across a single municipality.
It is the 15th largest in Sofala since 2016 (of 214 with a page). Number 13 in Mozambique in 2016, of 194.
Compare with…
- Burnt area
- 14,186ha
- GWIS perimeter (Copernicus)
- Duration
- 31days
- 30 Sept 2016 – 30 Oct 2016
- Municipalities hit
- 1
- districts
- Started on
- 30 Sept
- 2016
- Heat detections
- 694
- in a single hotspot: 53 MW
- Danger at start
- 39
- Very high · FWI index
- Average daily power
- 222MW
- 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 31 days without rain (1 mm or more) when it started. Rain came after the fire: 1.9 mm on 8 Nov.
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
-
Marromeu where it started14,282 ha reached on 24 Sept2.5 %
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 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) |
|---|---|---|---|---|---|
| 24 Sept | 34.2 °C | 33 % | 42 km/h | 0.0 mm | Very high 39 |
| 25 Sept | 33.9 °C | 34 % | 43 km/h | 0.0 mm | Very high 40 |
| 26 Sept | 30.1 °C | 46 % | 37 km/h | 0.0 mm | High 31 |
| 27 Sept | 31.6 °C | 43 % | 36 km/h | 0.0 mm | High 30 |
| 28 Sept | 36.7 °C | 28 % | 39 km/h | 0.0 mm | Very high 40 |
| 29 Sept | 34.4 °C | 36 % | 39 km/h | 0.0 mm | Very high 39 |
| 30 Sept | 33.3 °C | 35 % | 40 km/h | 0.0 mm | Very high 39 |
| 1 Oct | 33.4 °C | 35 % | 37 km/h | 0.0 mm | Very high 38 |
| 2 Oct | 35.8 °C | 32 % | 35 km/h | 0.1 mm | Very high 40 |
| 3 Oct | 24.5 °C | 68 % | 55 km/h | 9.2 mm | Very low 4 |
| 4 Oct | 26.2 °C | 46 % | 41 km/h | 0.5 mm | Low 10 |
| 5 Oct | 27.0 °C | 41 % | 31 km/h | 0.1 mm | Moderate 18 |
| 6 Oct | 32.0 °C | 28 % | 26 km/h | 0.0 mm | High 28 |
| 7 Oct | 34.6 °C | 28 % | 39 km/h | 0.0 mm | High 34 |
| 8 Oct | 31.3 °C | 38 % | 40 km/h | 0.0 mm | High 32 |
| 9 Oct | 33.8 °C | 43 % | 41 km/h | 0.0 mm | High 32 |
| 10 Oct | 33.0 °C | 45 % | 45 km/h | 0.3 mm | High 32 |
| 11 Oct | 33.0 °C | 48 % | 39 km/h | 0.2 mm | High 28 |
| 12 Oct | 35.4 °C | 36 % | 44 km/h | 0.0 mm | High 33 |
| 13 Oct | 30.2 °C | 54 % | 44 km/h | 0.6 mm | High 26 |
| 14 Oct | 27.7 °C | 62 % | 40 km/h | 2.7 mm | Low 7 |
| 15 Oct | 30.5 °C | 44 % | 36 km/h | 0.0 mm | Moderate 18 |
| 16 Oct | 33.7 °C | 41 % | 32 km/h | 0.0 mm | High 24 |
| 17 Oct | 36.5 °C | 32 % | 37 km/h | 0.0 mm | High 32 |
| 18 Oct | 30.3 °C | 65 % | 51 km/h | 1.2 mm | Moderate 15 |
| 19 Oct | 29.4 °C | 62 % | 45 km/h | 1.0 mm | Moderate 14 |
| 20 Oct | 31.5 °C | 47 % | 41 km/h | 0.0 mm | High 22 |
| 21 Oct | 32.1 °C | 46 % | 37 km/h | 0.0 mm | High 24 |
| 22 Oct | 33.6 °C | 46 % | 37 km/h | 0.0 mm | High 24 |
| 23 Oct | 35.7 °C | 37 % | 34 km/h | 0.1 mm | High 28 |
| 24 Oct | 37.5 °C | 28 % | 40 km/h | 0.0 mm | Very high 39 |
| 25 Oct | 35.5 °C | 32 % | 38 km/h | 0.0 mm | Very high 39 |
| 26 Oct | 34.8 °C | 38 % | 37 km/h | 0.3 mm | High 36 |
| 27 Oct | 33.9 °C | 44 % | 42 km/h | 0.0 mm | High 31 |
| 28 Oct | 35.1 °C | 40 % | 35 km/h | 0.0 mm | High 32 |
| 29 Oct | 34.4 °C | 41 % | 35 km/h | 0.0 mm | High 33 |
| 30 Oct | 35.6 °C | 35 % | 40 km/h | 0.0 mm | High 34 |
| 31 Oct after | 35.9 °C | 40 % | 42 km/h | 0.0 mm | High 35 |
| 1 Nov after | 34.6 °C | 48 % | 45 km/h | 0.2 mm | High 34 |
| 2 Nov after | 32.1 °C | 48 % | 41 km/h | 0.0 mm | High 31 |
| 3 Nov after | 31.4 °C | 53 % | 39 km/h | 0.7 mm | High 22 |
| 4 Nov after | 33.0 °C | 46 % | 41 km/h | 0.0 mm | High 27 |
| 5 Nov after | 34.3 °C | 40 % | 41 km/h | 0.0 mm | High 31 |
| 6 Nov after | 37.1 °C | 32 % | 46 km/h | 0.0 mm | Very high 38 |
| 7 Nov after | 36.8 °C | 32 % | 44 km/h | 0.0 mm | Very high 38 |
| 8 Nov after | 34.7 °C | 47 % | 42 km/h | 1.9 mm | Moderate 18 |
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 · 694Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
Frequently asked questions
- How long did the Marromeu fire last?
- GWIS (Copernicus) dates it between 30 September 2016 and 30 October 2016: 31 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 14,186 hectares (141.9 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire only entered Marromeu (14,282 ha, 2.5 %).
- What was the weather like?
- During the fire the temperature reached 37.5 °C, humidity dropped to 28 % and gusts hit 55 km/h. The fire danger index (FWI) reached 40, class Very high.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Mozambique (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.
- Dates from the perimeter: the VIIRS detections inside it did not change them. 694 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 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.