Kiniéba fire, 9 November 2017 Kiniéba, Dianké Makan
The fire started on 9 November 2017 in Kiniéba, Senegal, and satellites saw it burning for 5 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 2,556 hectares from heat detections, spread across 2 municipalities.
It is the 158th largest in Tambacounda since 2016 (of 291 with a page). Number 40 in Senegal in 2017, of 75.
Compare with…
- Burnt area
- 2,556ha
- GWIS perimeter (Copernicus)
- Duration
- 5days
- 9 Nov 2017 – 13 Nov 2017
- Municipalities hit
- 2
- districts
- Started on
- 9 Nov
- 2017
- Heat detections
- 78
- in a single hotspot: 100 MW
- Danger at start
- 32
- High · FWI index
- Average daily power
- 243MW
- 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 28 days without rain (1 mm or more) when it started.
This area had burned before
14% of the perimeter overlaps earlier fires recorded since 2016: 348 ha in 2016.
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
-
Kiniéba where it started2,021 ha reached on 2 Nov0.6 %
-
548 ha reached on 3 Nov0.2 %
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) |
|---|---|---|---|---|---|
| 9 Nov | 38.3 °C | 27 % | 28 km/h | 0.0 mm | High 32 |
| 10 Nov | 37.5 °C | 31 % | 35 km/h | 0.0 mm | High 36 |
| 11 Nov | 38.8 °C | 24 % | 28 km/h | 0.0 mm | High 33 |
| 12 Nov | 37.8 °C | 12 % | 38 km/h | 0.0 mm | Very high 49 |
| 13 Nov | 35.6 °C | 16 % | 30 km/h | 0.0 mm | Very high 44 |
| 14 Nov after | 36.0 °C | 17 % | 25 km/h | 0.0 mm | Very high 42 |
| 15 Nov after | 35.9 °C | 19 % | 22 km/h | 0.0 mm | Very high 40 |
| 16 Nov after | 36.9 °C | 18 % | 22 km/h | 0.0 mm | Very high 41 |
| 17 Nov after | 34.8 °C | 18 % | 20 km/h | 0.0 mm | Very high 40 |
| 18 Nov after | 35.5 °C | 18 % | 18 km/h | 0.0 mm | Very high 41 |
| 19 Nov after | 35.8 °C | 20 % | 20 km/h | 0.0 mm | Very high 40 |
| 20 Nov after | 37.2 °C | 18 % | 16 km/h | 0.0 mm | Very high 41 |
| 21 Nov after | 36.3 °C | 20 % | 24 km/h | 0.0 mm | Very high 41 |
| 22 Nov after | 38.2 °C | 21 % | 19 km/h | 0.0 mm | Very high 40 |
| 23 Nov after | 37.7 °C | 27 % | 24 km/h | 0.0 mm | High 37 |
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 · 78Every 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 Kiniéba fire last?
- GWIS (Copernicus) dates it between 9 November 2017 and 13 November 2017: 5 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 2,556 hectares (25.6 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Kiniéba (2,021 ha, 0.6 %); Dianké Makan (548 ha, 0.2 %).
- What was the weather like?
- During the fire the temperature reached 38.8 °C, humidity dropped to 12 % and gusts hit 38 km/h. The fire danger index (FWI) reached 49, class Very high.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Senegal (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.
Emergency number: 18
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.
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. 78 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.
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 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.