Lupososhi fire, 2 September 2022 Lupososhi
The fire started on 2 September 2022 in Lupososhi, Zambia, and satellites saw it burning for 13 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 13,759 hectares from heat detections, spread across a single municipality.
It is the 54th largest in Northern since 2016 (of 628 with a page). Number 19 in Zambia in 2022, of 235.
Compare with…
- Burnt area
- 13,759ha
- GWIS perimeter (Copernicus)
- Duration
- 13days
- 2 Sept 2022 – 14 Sept 2022
- Municipalities hit
- 1
- districts
- Started on
- 2 Sept
- 2022
- Heat detections
- 428
- in a single hotspot: 126 MW
- Danger at start
- 33
- High · FWI index
- Average daily power
- 359MW
- 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
89% of the perimeter overlaps earlier fires recorded since 2016: 6,022 ha in 2016, 4,429 ha in 2017, 1,711 ha in 2018, 4,579 ha in 2019, 5,738 ha in 2020, 4,119 ha in 2021. Part of it burned more than once, so the yearly figures add up to more than the 12,245 ha that had burned before.
- 1,736 ha Lupososhi fire, September 2016 4,376 ha in total; the hectares shown are those it shares with this fire
- 1,522 ha Mansa fire, August 2020 280,384 ha in total; the hectares shown are those it shares with this fire
- 247 ha Lupososhi fire, August 2020 4,432 ha in total; the hectares shown are those it shares with this fire
- 81 ha Mansa fire, August 2021 259,734 ha in total; the hectares shown are those it shares with this fire
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
-
Lupososhi where it started13,849 ha reached on 31 Aug3.3 %
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 2020Inside the perimeter there were about 20 hectares of built-up land and about 2,700 residents (GHSL 2020, 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) |
|---|---|---|---|---|---|
| 2 Sept | 26.3 °C | 33 % | 39 km/h | 0.0 mm | High 33 |
| 3 Sept | 28.0 °C | 31 % | 31 km/h | 0.0 mm | High 30 |
| 4 Sept | 30.0 °C | 25 % | 27 km/h | 0.0 mm | High 33 |
| 5 Sept | 30.6 °C | 23 % | 29 km/h | 0.0 mm | High 36 |
| 6 Sept | 30.8 °C | 17 % | 35 km/h | 0.0 mm | Very high 41 |
| 7 Sept | 28.2 °C | 25 % | 42 km/h | 0.0 mm | Very high 45 |
| 8 Sept | 27.0 °C | 26 % | 44 km/h | 0.0 mm | Very high 44 |
| 9 Sept | 27.6 °C | 30 % | 40 km/h | 0.0 mm | Very high 40 |
| 10 Sept | 28.9 °C | 25 % | 36 km/h | 0.0 mm | High 38 |
| 11 Sept | 29.6 °C | 28 % | 35 km/h | 0.0 mm | High 37 |
| 12 Sept | 30.8 °C | 31 % | 27 km/h | 0.0 mm | High 36 |
| 13 Sept | 29.8 °C | 26 % | 44 km/h | 0.0 mm | Very high 42 |
| 14 Sept | 28.1 °C | 30 % | 52 km/h | 0.0 mm | Very high 46 |
| 15 Sept after | 28.7 °C | 28 % | 41 km/h | 0.0 mm | Very high 41 |
| 16 Sept after | 29.5 °C | 28 % | 43 km/h | 0.0 mm | Very high 42 |
| 17 Sept after | 30.1 °C | 27 % | 34 km/h | 0.0 mm | High 38 |
| 18 Sept after | 31.2 °C | 26 % | 36 km/h | 0.0 mm | Very high 38 |
| 19 Sept after | 31.6 °C | 27 % | 24 km/h | 0.0 mm | High 34 |
| 20 Sept after | 33.5 °C | 20 % | 34 km/h | 0.0 mm | Very high 41 |
| 21 Sept after | 32.9 °C | 21 % | 34 km/h | 0.0 mm | Very high 43 |
| 22 Sept after | 31.5 °C | 22 % | 34 km/h | 0.0 mm | Very high 43 |
| 23 Sept after | 31.4 °C | 22 % | 35 km/h | 0.0 mm | Very high 44 |
| 24 Sept after | 31.0 °C | 15 % | 41 km/h | 0.0 mm | Very high 47 |
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 · 428Every 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 Lupososhi fire last?
- GWIS (Copernicus) dates it between 2 September 2022 and 14 September 2022: 13 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 13,759 hectares (137.6 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire only entered Lupososhi (13,849 ha, 3.3 %).
- What was the weather like?
- During the fire the temperature reached 30.8 °C, humidity dropped to 17 % and gusts hit 52 km/h. The fire danger index (FWI) reached 46, class Very high.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Zambia (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. 428 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 2020, 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 4.0 (CC BY 4.0)). 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.