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Nieni fire, 2 February 2016 Nieni, Neya

Out · last detection 25 Feb 2016, 14:43 UTC

The fire started on 2 February 2016 in Nieni, Sierra Leone, and satellites saw it burning for 24 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 4,518 hectares from heat detections, spread across 2 municipalities.

It is the 37th largest in Northern since 2016 (of 1112 with a page). Number 6 in Sierra Leone in 2016, of 208.

The power measured by the satellite is low (12.5 MW in the strongest hotspot), more typical of grass or stubble burning, or a slow surface fire, than of a large crown fire.

Burnt area
4,518ha
GWIS perimeter (Copernicus)
Duration
24days
2 Feb 2016 – 25 Feb 2016
Municipalities hit
2
chiefdoms
Started on
2 Feb
2016
Heat detections
252
in a single hotspot: 12 MW
Danger at start
42
Very high · FWI index
Energy released
686MW
sum of detected power

Where it burned

25 Feb 2016
HOTSPOTS BY DAY 2 Feb25 Feb

How it evolved, day by day

23456789101112131415161718192122232425

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
44km/h · peak gust
9%lowest humidity

It had gone 26 days without rain (1 mm or more) when it started.

This area had burned before

No earlier perimeters overlap this fire since 2016, when the satellite record begins.

What happened to each town

  1. Nieni where it started
    3,736 ha reached on 29 Jan
    1.6 %
  2. 812 ha reached on 29 Jan
    0.6 %

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)
2 Feb 31.5 °C 15 % 39 km/h 0.0 mm Very high 42
3 Feb 32.6 °C 15 % 34 km/h 0.0 mm Very high 39
4 Feb 33.3 °C 16 % 20 km/h 0.0 mm High 34
5 Feb 34.2 °C 13 % 30 km/h 0.0 mm High 37
6 Feb 35.0 °C 14 % 22 km/h 0.0 mm High 38
7 Feb 35.5 °C 14 % 39 km/h 0.0 mm Very high 43
8 Feb 34.2 °C 12 % 35 km/h 0.0 mm Very high 43
9 Feb 33.6 °C 13 % 32 km/h 0.0 mm Very high 41
10 Feb 34.0 °C 12 % 30 km/h 0.0 mm Very high 41
11 Feb 34.4 °C 12 % 23 km/h 0.0 mm Very high 39
12 Feb 34.4 °C 9 % 27 km/h 0.0 mm Very high 43
13 Feb 35.0 °C 11 % 22 km/h 0.0 mm Very high 43
14 Feb 33.2 °C 20 % 19 km/h 0.0 mm Very high 39
15 Feb 34.0 °C 19 % 19 km/h 0.0 mm Very high 41
16 Feb 34.2 °C 22 % 21 km/h 0.0 mm Very high 39
17 Feb 35.0 °C 15 % 29 km/h 0.0 mm Very high 40
18 Feb 34.3 °C 16 % 20 km/h 0.0 mm High 38
19 Feb 33.5 °C 25 % 27 km/h 0.0 mm Very high 41
20 Feb 34.4 °C 15 % 31 km/h 0.0 mm Very high 44
21 Feb 36.7 °C 10 % 44 km/h 0.0 mm Extreme 55
22 Feb 34.5 °C 15 % 30 km/h 0.0 mm Very high 47
23 Feb 34.3 °C 23 % 24 km/h 0.0 mm Very high 42
24 Feb 35.0 °C 25 % 26 km/h 0.0 mm Very high 41
25 Feb 35.4 °C 23 % 24 km/h 0.0 mm Very high 41
26 Feb after 35.4 °C 20 % 26 km/h 0.0 mm Very high 40
27 Feb after 35.8 °C 18 % 33 km/h 0.0 mm Very high 44
28 Feb after 35.1 °C 19 % 32 km/h 0.0 mm Very high 43
29 Feb after 35.9 °C 21 % 24 km/h 0.0 mm Very high 41
1 Mar after 37.1 °C 22 % 23 km/h 0.0 mm Very high 41
2 Mar after 37.7 °C 23 % 28 km/h 0.0 mm Very high 41
3 Mar after 36.9 °C 16 % 32 km/h 0.0 mm Very high 44
4 Mar after 36.4 °C 17 % 30 km/h 0.0 mm Very high 46
5 Mar after 36.9 °C 17 % 30 km/h 0.0 mm Very high 45
6 Mar after 37.4 °C 15 % 21 km/h 0.0 mm Very high 43

Before and after, from space

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

Before · 26 Jan 2016
After · 3 Mar 2016

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 · 252Every 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 Sierra Leone ›

Frequently asked questions

How long did the Nieni fire last?
GWIS (Copernicus) dates it between 2 February 2016 and 25 February 2016: 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 4,518 hectares (45.2 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Nieni (3,736 ha, 1.6 %); Neya (812 ha, 0.6 %).
What was the weather like?
During the fire the temperature reached 36.7 °C, humidity dropped to 9 % and gusts hit 44 km/h. The fire danger index (FWI) reached 55, class Extreme.
Where does this data come from?
From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Sierra Leone (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 ADM3 (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.