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TD · Chad · –

Monts de Lam fire, 29 December 2016 Monts de Lam

Out · last detection 10 Jan 2017, 00:15 UTC

The fire started on 29 December 2016 in Monts de Lam, Chad, and satellites saw it burning for 13 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 2,830 hectares from heat detections, spread across a single municipality.

It is the 19th largest in Logone Oriental since 2016 (of 40 with a page). Number 100 in Chad in 2016, of 220.

The power measured by the satellite is low (27.3 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
2,830ha
GWIS perimeter (Copernicus)
Duration
13days
29 Dec 2016 – 10 Jan 2017
Municipalities hit
1
departments
Started on
29 Dec
2016
Heat detections
82
in a single hotspot: 27 MW
Danger at start
40
Very high · FWI index
Average daily power
38MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 29 Dec10 Jan
10 Jan 2017

How it evolved, day by day

29 Dec 2016 · 4 MW · 2 30 Dec 2016 · 110 MW · 10 31 Dec 2016 · 53 MW · 19 1 Jan 2017 · 9 MW · 2 2 Jan 2017 · 131 MW · 21 3 Jan 2017 · 37 MW · 14 6 Jan 2017 · 10 MW · 2 7 Jan 2017 · 10 MW · 3 9 Jan 2017 · 13 MW · 7 10 Jan 2017 · 2 MW · 2
29 Dec 31 Dec 2 Jan 6 Jan 9 Jan

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

The weather it burned in

34°high
30km/h · peak gust
17%lowest humidity

It had gone 59 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.

How big is it?

10 km
It burned the equivalent of 1.8% of the area of London (28 km² against 1,583 km²).

London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).

This compares size, not location: both shapes are at the same scale, north up, centred on each other.

What happened to each town

  1. Monts de Lam where it started
    2,850 ha reached on 29 Dec
    0.3 %

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 2015
Built-up area0.98 ha
Residents≈ 300

Inside the perimeter there were about 0.98 hectares of built-up land and about 300 residents (GHSL 2015, 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)
29 Dec 31.5 °C 21 % 24 km/h 0.0 mm Very high 40
30 Dec 32.7 °C 19 % 24 km/h 0.0 mm Very high 41
31 Dec 31.5 °C 21 % 23 km/h 0.0 mm Very high 43
1 Jan 31.0 °C 22 % 28 km/h 0.0 mm Very high 42
2 Jan 32.2 °C 23 % 27 km/h 0.0 mm Very high 41
3 Jan 32.1 °C 23 % 28 km/h 0.0 mm Very high 41
4 Jan 32.5 °C 20 % 27 km/h 0.0 mm Very high 41
5 Jan 33.3 °C 17 % 24 km/h 0.0 mm Very high 43
6 Jan 33.9 °C 17 % 30 km/h 0.0 mm Very high 43
7 Jan 33.4 °C 19 % 25 km/h 0.0 mm Very high 43
8 Jan 32.5 °C 19 % 27 km/h 0.0 mm Very high 45
9 Jan 31.2 °C 17 % 28 km/h 0.0 mm Very high 46
10 Jan 30.6 °C 18 % 28 km/h 0.0 mm Very high 43
11 Jan after 32.9 °C 18 % 19 km/h 0.0 mm Very high 42
12 Jan after 34.5 °C 16 % 30 km/h 0.0 mm Very high 45
13 Jan after 35.0 °C 16 % 31 km/h 0.0 mm Very high 46
14 Jan after 32.0 °C 19 % 33 km/h 0.0 mm Very high 47
15 Jan after 33.0 °C 14 % 25 km/h 0.0 mm Very high 45
16 Jan after 34.2 °C 14 % 29 km/h 0.0 mm Very high 45
17 Jan after 35.2 °C 15 % 28 km/h 0.0 mm Very high 46
18 Jan after 35.4 °C 18 % 28 km/h 0.0 mm Very high 45
19 Jan after 36.6 °C 16 % 27 km/h 0.0 mm Very high 45
20 Jan after 35.1 °C 21 % 26 km/h 0.0 mm Very high 46

Its twins: fires that started in the same weather

It started with an FWI of 40.3, a minimum humidity of 21% and 59 days without rain. Fires in the area that started in weather like this since 2016: 31.

FWI at the start 40.3
Minimum humidity 21 %
Days without rain 59
this fire chosen twins rest of the area
Almost identicalSimilar

Outlines of the closest twins

Kouh Ouest fire, January 2021
2,717 ha 17 days FWI 42.7 Min. humidity 21 % 73 km away, in 2021

First rain (1 mm or more) after it ended: none in the following ten days.

What happened to them

7 days
median duration
1,934 ha
median area
100 %
went past 1,000 ha
—
rain at the end (median; 0 of 31 had it)

It burned an area similar to its twins (2,830 ha against a median of 1,934 ha) and lasted 13 days, against 7 days.

In none of them did 1 mm fall in the ten days after the end: they all went out without rain.

This is a bank of analogues: it shows what usually happens, not what will happen. With fewer than 15 twins we give no figures. How we calculate it

How it ended

—first rain
—no rain in ten days
30km/h · max. gust

It was considered over on 10 Jan, and not even 1 mm fell in the following ten days: it went out without rain. None of its 31 twins had rain when they ended.

Weather on this page: Open-Meteo.com (CC BY 4.0) · Copernicus Climate Change Service (ERA5)

How a twin is chosen

  • Same area: fires that have already ended, less than 250 km from this one, since 2016.
  • Same start: we compare the FWI on the first day, the minimum humidity that day and the run of days without rain before it. The slider sets how much they may differ.
  • Only pages with final weather data (ERA5 reanalysis) calculated in the same way as this fire’s; agricultural and grass burns and pages with data under review are left out.
  • Fires burning at the same time as this one (a week before or after) are left out: they share the same spell of weather and do not count as a precedent.
  • They are sorted by similarity, and the outlines of the first five are drawn.

How we calculate it

Before and after, from space

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

Before · 22 Dec 2016
After · 17 Jan 2017

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 · 82Every 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 Monts de Lam fire last?
According to the heat detections seen by satellite inside the perimeter, it burned from 29 December 2016 to 10 January 2017 (13 days). The perimeter dates it from 30 December 2016 to 3 January 2017.
How much area did it burn?
The perimeter GWIS (Copernicus) rebuilt from heat detections is 2,830 hectares (28.3 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Monts de Lam (2,850 ha, 0.3 %).
What was the weather like?
During the fire the temperature reached 33.9 °C, humidity dropped to 17 % and gusts hit 30 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 Chad (geoBoundaries). It is not an official report.
How did the fires that started in similar weather in this area end?
Fires less than 250 km away that started since 2016 with a similar FWI, humidity and dry spell: 31. Their median duration was 7 days and their median area 1,934 ha; 100 % went past 1,000 ha. In none of them did 1 mm fall in the ten days after the end: they all went out without rain.

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 · 2 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
  1. Last day with fire: 3 January 2017 → 10 January 2017.
  2. Start date: 30 December 2016 → 29 December 2016.

RSS Changes to this page With cross-checks and a citable version

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
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How we know this
  • Perimeter: GWIS (Copernicus), rebuilt from heat detections rather than mapped on imagery.
  • Dates adjusted with the VIIRS detections inside the perimeter, which said 30 December 2016 to 3 January 2017. 82 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 2015, 100 m cells), summed inside the perimeter: an estimate of what was there, not a damage count.

How we build fire pages: methodology

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.