Pochalla fire, January 2023 Pochalla
The fire started on 23 January 2023 in Pochalla, South Sudan, and satellites saw it burning for 10 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 8,081 hectares from heat detections, spread across a single municipality.
It is the 180th largest in Jonglei since 2016 (of 427 with a page). Number 51 in South Sudan in 2023, of 106.
Compare with…
- Burnt area
- 8,081ha
- GWIS perimeter (Copernicus)
- Duration
- 10days
- 23 Jan 2023 – 1 Feb 2023
- Municipalities hit
- 1
- counties
- Started on
- 23 Jan
- 2023
- Heat detections
- 507
- in a single hotspot: 143 MW
- Danger at start
- 40
- Very high · FWI index
- Average daily power
- 410MW
- 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 49 days without rain (1 mm or more) when it started.
This area had burned before
99% of the perimeter overlaps earlier fires recorded since 2016: 4,795 ha in 2016, 2,762 ha in 2017, 4,010 ha in 2018, 157 ha in 2019, 2,562 ha in 2020, 5,283 ha in 2021, 6,298 ha in 2022. Part of it burned more than once, so the yearly figures add up to more than the 8,033 ha that had burned before.
- 3,230 ha Pochalla fire, February 2021 8,168 ha in total; the hectares shown are those it shares with this fire
- 3,171 ha Pochalla fire, December 2018 12,063 ha in total; the hectares shown are those it shares with this fire
- 1,943 ha Pochalla fire, December 2016 5,699 ha in total; the hectares shown are those it shares with this fire
- 1,139 ha Pochalla fire, February 2021 5,757 ha in total; the hectares shown are those it shares with this fire
- 101 ha Pochalla fire, January 2018 5,285 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
-
Pochalla where it started8,132 ha reached on 22 Jan1.0 %
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 2025Inside 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) |
|---|---|---|---|---|---|
| 23 Jan | 38.1 °C | 18 % | 18 km/h | 0.0 mm | Very high 40 |
| 24 Jan | 37.8 °C | 17 % | 34 km/h | 0.0 mm | Very high 46 |
| 25 Jan | 37.2 °C | 20 % | 25 km/h | 0.0 mm | Very high 40 |
| 26 Jan | 38.8 °C | 17 % | 18 km/h | 0.0 mm | Very high 40 |
| 27 Jan | 38.4 °C | 17 % | 45 km/h | 0.0 mm | Extreme 54 |
| 28 Jan | 38.9 °C | 17 % | 42 km/h | 0.0 mm | Extreme 53 |
| 29 Jan | 39.0 °C | 15 % | 38 km/h | 0.0 mm | Extreme 53 |
| 30 Jan | 38.5 °C | 18 % | 48 km/h | 0.0 mm | Extreme 61 |
| 31 Jan | 38.1 °C | 18 % | 29 km/h | 0.0 mm | Very high 45 |
| 1 Feb | 37.3 °C | 24 % | 30 km/h | 0.5 mm | Very high 44 |
| 2 Feb after | 38.2 °C | 16 % | 29 km/h | 0.0 mm | Very high 43 |
| 3 Feb after | 37.8 °C | 16 % | 28 km/h | 0.0 mm | Very high 46 |
| 4 Feb after | 38.9 °C | 14 % | 24 km/h | 0.0 mm | Very high 47 |
| 5 Feb after | 37.7 °C | 15 % | 36 km/h | 0.0 mm | Extreme 52 |
| 6 Feb after | 38.8 °C | 13 % | 19 km/h | 0.0 mm | Very high 45 |
| 7 Feb after | 39.2 °C | 13 % | 31 km/h | 0.0 mm | Very high 49 |
| 8 Feb after | 37.8 °C | 12 % | 34 km/h | 0.0 mm | Extreme 52 |
| 9 Feb after | 38.8 °C | 19 % | 35 km/h | 0.0 mm | Extreme 55 |
| 10 Feb after | 39.8 °C | 20 % | 23 km/h | 0.0 mm | Very high 45 |
| 11 Feb after | 39.3 °C | 21 % | 34 km/h | 0.0 mm | Extreme 52 |
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 · 507Every 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 Pochalla fire last?
- GWIS (Copernicus) dates it between 23 January 2023 and 1 February 2023: 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 8,081 hectares (80.8 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire only entered Pochalla (8,132 ha, 1.0 %).
- What was the weather like?
- During the fire the temperature reached 39.0 °C, humidity dropped to 15 % and gusts hit 48 km/h. The fire danger index (FWI) reached 61, class Extreme.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of South Sudan (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. 507 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.
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.