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Ibba fire, 14 December 2018 Ibba, Maridi

Out · last detection 8 Jan 2019, 23:06 UTC

The fire started on 14 December 2018 in Ibba, South Sudan, and satellites saw it burning for 25 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 57,809 hectares from heat detections, spread across 2 municipalities.

It is the 22th largest in Western Equatoria since 2016 (of 361 with a page). Number 5 in South Sudan in 2018, of 120.

Burnt area
57,809ha
GWIS perimeter (Copernicus)
Duration
25days
14 Dec 2018 – 7 Jan 2019
Municipalities hit
2
counties
Started on
14 Dec
2018
Heat detections
2,228
in a single hotspot: 220 MW
Danger at start
29
High · FWI index
Energy released
18.7GW
sum of detected power

Where it burned

8 Jan 2019
HOTSPOTS BY DAY 14 Dec7 Jan

How it evolved, day by day

141517181920212223242526272829303112345678

Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.

The weather it burned in

37°high
41km/h · peak gust
15%lowest humidity

It had gone 8 days without rain (1 mm or more) when it started.

This area had burned before

76% of the perimeter overlaps earlier fires recorded since 2016: 34,367 ha in 2016, 25,482 ha in 2017. Part of it burned more than once, so the yearly figures add up to more than the 44,120 ha that had burned before.

What happened to each town

  1. Ibba where it started
    46,443 ha reached on 7 Dec
    4.8 %
  2. 11,784 ha reached on 13 Dec
    1.5 %

Burnt area inside each municipality, from crossing the GWIS perimeter with administrative boundaries. The distance is from the town centre to the nearest fire: staying a kilometre away does not mean it reached the houses.

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)
14 Dec 33.8 °C 30 % 31 km/h 0.0 mm High 29
15 Dec 34.7 °C 31 % 28 km/h 0.0 mm High 28
16 Dec 34.1 °C 33 % 27 km/h 0.1 mm High 30
17 Dec 35.7 °C 25 % 34 km/h 0.0 mm High 31
18 Dec 34.9 °C 18 % 24 km/h 0.0 mm High 31
19 Dec 34.9 °C 18 % 28 km/h 0.0 mm High 32
20 Dec 34.7 °C 20 % 37 km/h 0.0 mm High 38
21 Dec 34.4 °C 21 % 33 km/h 0.0 mm Very high 39
22 Dec 34.7 °C 21 % 37 km/h 0.0 mm Very high 39
23 Dec 34.9 °C 19 % 36 km/h 0.0 mm Very high 39
24 Dec 34.5 °C 19 % 34 km/h 0.0 mm Very high 38
25 Dec 35.6 °C 21 % 31 km/h 0.0 mm High 37
26 Dec 36.1 °C 20 % 32 km/h 0.0 mm High 38
27 Dec 36.9 °C 18 % 37 km/h 0.0 mm Very high 41
28 Dec 35.5 °C 22 % 35 km/h 0.0 mm Very high 40
29 Dec 35.7 °C 22 % 31 km/h 0.0 mm Very high 38
30 Dec 33.8 °C 25 % 39 km/h 0.0 mm Very high 41
31 Dec 33.7 °C 28 % 37 km/h 0.0 mm Very high 39
1 Jan 33.9 °C 29 % 40 km/h 0.0 mm Very high 38
2 Jan 34.8 °C 27 % 29 km/h 0.0 mm High 35
3 Jan 36.8 °C 18 % 41 km/h 0.0 mm Very high 44
4 Jan 36.2 °C 15 % 38 km/h 0.0 mm Very high 45
5 Jan 35.5 °C 28 % 34 km/h 0.2 mm Very high 39
6 Jan 35.7 °C 27 % 31 km/h 0.2 mm Very high 40
7 Jan 36.0 °C 19 % 28 km/h 0.0 mm High 38
8 Jan after 35.4 °C 15 % 27 km/h 0.0 mm Very high 41
9 Jan after 35.8 °C 18 % 31 km/h 0.0 mm Very high 43
10 Jan after 36.4 °C 17 % 32 km/h 0.0 mm Very high 42
11 Jan after 37.3 °C 18 % 33 km/h 0.0 mm Very high 43
12 Jan after 37.3 °C 17 % 27 km/h 0.0 mm Very high 43
13 Jan after 37.8 °C 15 % 22 km/h 0.0 mm Very high 44
14 Jan after 36.3 °C 20 % 34 km/h 0.0 mm Very high 46
15 Jan after 35.5 °C 30 % 37 km/h 0.0 mm Very high 43
16 Jan after 35.7 °C 24 % 36 km/h 0.0 mm Very high 40
17 Jan after 35.8 °C 23 % 25 km/h 0.0 mm Very high 40

Before and after, from space

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

Before · 7 Dec 2018
After · 14 Jan 2019

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 · 2,228Every 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 South Sudan ›

Frequently asked questions

How long did the Ibba fire last?
GWIS (Copernicus) dates it between 14 December 2018 and 7 January 2019: 25 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 57,809 hectares (578.1 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Ibba (46,443 ha, 4.8 %); Maridi (11,784 ha, 1.5 %).
What was the weather like?
During the fire the temperature reached 36.9 °C, humidity dropped to 15 % and gusts hit 41 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 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

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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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.