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Kaya fire, October 2018 Fouli, Kaya

Out · last detection 7 Nov 2018, 00:26 UTC

The fire started on 14 October 2018 in Kaya, Chad, and satellites saw it burning for 24 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 23,249 hectares from heat detections, spread across 2 municipalities.

It is the 3th largest in Lac since 2016 (of 44 with a page). The largest in Chad in 2018, of 78.

Burnt area
23,249ha
GWIS perimeter (Copernicus)
Duration
24days
14 Oct 2018 – 6 Nov 2018
Municipalities hit
2
departments
Started on
14 Oct
2018
Heat detections
1,001
in a single hotspot: 162 MW
Danger at start
57
Extreme · FWI index
Energy released
14.8GW
sum of detected power

Where it burned

7 Nov 2018
HOTSPOTS BY DAY 14 Oct6 Nov

How it evolved, day by day

1415161718192021222324252627282930311234567

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

The weather it burned in

42°high
54km/h · peak gust
4%lowest humidity

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

This area had burned before

82% of the perimeter overlaps earlier fires recorded since 2016: 17,001 ha in 2016, 11,822 ha in 2017. Part of it burned more than once, so the yearly figures add up to more than the 19,017 ha that had burned before.

What happened to each town

  1. 14,765 ha reached on 9 Oct
    1.9 %
  2. Kaya where it started
    8,604 ha reached on 8 Oct
    2.2 %

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 Oct 40.1 °C 15 % 38 km/h 0.0 mm Extreme 57
15 Oct 39.2 °C 19 % 36 km/h 0.0 mm Extreme 56
16 Oct 41.6 °C 11 % 44 km/h 0.0 mm Very extreme 71
17 Oct 41.1 °C 8 % 41 km/h 0.0 mm Extreme 67
18 Oct 40.3 °C 5 % 42 km/h 0.0 mm Very extreme 73
19 Oct 40.2 °C 4 % 43 km/h 0.0 mm Very extreme 78
20 Oct 39.9 °C 6 % 38 km/h 0.0 mm Extreme 70
21 Oct 41.1 °C 6 % 34 km/h 0.0 mm Extreme 67
22 Oct 41.4 °C 4 % 36 km/h 0.0 mm Extreme 68
23 Oct 41.3 °C 4 % 42 km/h 0.0 mm Very extreme 80
24 Oct 41.2 °C 7 % 27 km/h 0.0 mm Extreme 69
25 Oct 38.8 °C 28 % 36 km/h 0.0 mm Extreme 52
26 Oct 39.6 °C 24 % 34 km/h 1.6 mm Very high 39
27 Oct 38.9 °C 16 % 25 km/h 0.0 mm Very high 48
28 Oct 41.2 °C 17 % 40 km/h 0.0 mm Extreme 64
29 Oct 38.9 °C 10 % 38 km/h 0.0 mm Extreme 64
30 Oct 39.1 °C 7 % 54 km/h 0.0 mm Very extreme 88
31 Oct 38.2 °C 4 % 48 km/h 0.0 mm Very extreme 84
1 Nov 39.6 °C 5 % 40 km/h 0.0 mm Very extreme 74
2 Nov 39.7 °C 6 % 36 km/h 0.0 mm Extreme 70
3 Nov 39.0 °C 10 % 36 km/h 0.0 mm Very extreme 71
4 Nov 39.8 °C 10 % 37 km/h 0.0 mm Very extreme 71
5 Nov 38.5 °C 10 % 32 km/h 0.0 mm Extreme 67
6 Nov 39.4 °C 8 % 38 km/h 0.0 mm Very extreme 75
7 Nov after 38.4 °C 9 % 37 km/h 0.0 mm Very extreme 73
8 Nov after 37.4 °C 9 % 44 km/h 0.0 mm Very extreme 82
9 Nov after 36.8 °C 8 % 50 km/h 0.0 mm Very extreme 89
10 Nov after 37.3 °C 8 % 36 km/h 0.0 mm Extreme 69
11 Nov after 37.9 °C 6 % 38 km/h 0.0 mm Very extreme 72
12 Nov after 37.0 °C 8 % 40 km/h 0.0 mm Very extreme 76
13 Nov after 36.5 °C 9 % 40 km/h 0.0 mm Very extreme 75
14 Nov after 35.5 °C 11 % 44 km/h 0.0 mm Very extreme 77
15 Nov after 35.5 °C 12 % 40 km/h 0.0 mm Very extreme 70
16 Nov after 35.2 °C 17 % 42 km/h 0.0 mm Extreme 68

Before and after, from space

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

Before · 7 Oct 2018
After · 13 Nov 2018

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 · 1,001Every 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 Chad ›

Frequently asked questions

How long did the Kaya fire last?
GWIS (Copernicus) dates it between 14 October 2018 and 6 November 2018: 24 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 23,249 hectares (232.5 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Fouli (14,765 ha, 1.9 %); Kaya (8,604 ha, 2.2 %).
What was the weather like?
During the fire the temperature reached 41.6 °C, humidity dropped to 4 % and gusts hit 54 km/h. The fire danger index (FWI) reached 88, class Very extreme.
Where does this data come from?
From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Chad (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.