How long did the Sheopur fire last?

GWIS (Copernicus) dates it between 8 November 2025 and 2 December 2025: 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 96,493 hectares (964.9 km²). It is an estimate: official national figures may differ.

Which municipalities burned?

The fire entered 6 municipalities: Sheopur (54,843 ha, 57 %); Badoda (38,166 ha, 64 %); Karahal (3,000 ha, 1.3 %); Pipalda (481 ha, 0.5 %); Khandar (404 ha, 0.4 %); Mangrol (3 ha, 0.0 %).

What was the weather like?

During the fire the temperature reached 30.7 °C, humidity dropped to 22 % and gusts hit 24 km/h. The fire danger index (FWI) reached 16, class Moderate.

Where does this data come from?

From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of India (geoBoundaries). It is not an official report.

IN · India · 2025-11-08 → 2025-12-02

Sheopur fire, November 2025 Sheopur, Badoda, Karahal

Out · last detection 2 Dec 2025, 08:05 UTC

The fire started on 8 November 2025 in Sheopur, India, and satellites saw it burning for 25 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 96,493 hectares from heat detections, spread across 6 municipalities.

It is the largest fire in Madhya Pradesh since 2016 (of 60 with a page). The largest in India in 2025, of 30.

Compare with…

Suggestions: Badoda · 2024 Sheopur · 2024

Burnt area: 96,493ha; GWIS perimeter (Copernicus)
Duration: 25days; 8 Nov 2025 – 2 Dec 2025
Municipalities hit: 6; subdistricts
Started on: 8 Nov; 2025
Heat detections: 2,473; in a single hotspot: 57 MW
Danger at start: 8; Low · FWI index
Average daily power: 655MW; detected power per day, on average

HOTSPOTS BY DAY 8 Nov2 Dec

Play back 2 Dec 2025

How it evolved, day by day

8 Nov 13 Nov 16 Nov 17 Nov 21 Nov 25 Nov 29 Nov

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

The weather it burned in

31°high

24km/h · peak gust

22%lowest humidity

It had gone 2 days without rain (1 mm or more) when it started.

This area had burned before

83% of the perimeter overlaps earlier fires recorded since 2016: 18,534 ha in 2016, 28,398 ha in 2017, 5,869 ha in 2018, 40,421 ha in 2019, 50,677 ha in 2020, 35,063 ha in 2021, 51,878 ha in 2022, 46,414 ha in 2023, 67,316 ha in 2024. Part of it burned more than once, so the yearly figures add up to more than the 80,252 ha that had burned before.

How big is it?

It burned the equivalent of 61% of the area of London (965 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

Sheopur where it started

54,843 ha

57 %
Badoda

38,166 ha

64 %
Karahal

3,000 ha

1.3 %
Pipalda

481 ha

0.5 %
Khandar

404 ha

0.4 %
Mangrol

3 ha

0.0 %

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 2025

Built-up area632 ha

Residents≈ 199,000

Inside the perimeter there were about 632 hectares of built-up land and about 199,000 residents (GHSL 2025, 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. The GHSL 2025 epoch is a projection made from 2020 and earlier data.

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)
3 Nov	30.6 °C	27 %	17 km/h	0.0 mm	Low 8
4 Nov	28.2 °C	54 %	22 km/h	0.7 mm	Very low 4
5 Nov	30.7 °C	22 %	24 km/h	0.0 mm	Low 10
6 Nov	28.1 °C	23 %	22 km/h	0.0 mm	Low 11
7 Nov	26.7 °C	27 %	17 km/h	0.0 mm	Low 10
8 Nov	26.8 °C	23 %	18 km/h	0.0 mm	Moderate 12
9 Nov	27.1 °C	29 %	18 km/h	0.0 mm	Moderate 12
10 Nov	27.4 °C	27 %	18 km/h	0.0 mm	Moderate 14
11 Nov	27.3 °C	28 %	19 km/h	0.0 mm	Moderate 13
12 Nov	27.3 °C	26 %	16 km/h	0.0 mm	Moderate 14
13 Nov	27.2 °C	29 %	18 km/h	0.0 mm	Moderate 14
14 Nov	26.7 °C	23 %	14 km/h	0.0 mm	Moderate 14
15 Nov	26.0 °C	27 %	15 km/h	0.0 mm	Moderate 14
16 Nov	26.0 °C	30 %	23 km/h	0.0 mm	Moderate 16
17 Nov	25.5 °C	30 %	17 km/h	0.0 mm	Moderate 15
18 Nov	24.8 °C	34 %	18 km/h	0.0 mm	Moderate 14
19 Nov	25.3 °C	39 %	16 km/h	0.0 mm	Moderate 13
20 Nov	25.1 °C	45 %	13 km/h	0.0 mm	Moderate 11
21 Nov	25.5 °C	48 %	12 km/h	0.0 mm	Low 10
22 Nov	26.0 °C	42 %	14 km/h	0.0 mm	Moderate 12
23 Nov	26.2 °C	37 %	15 km/h	0.0 mm	Moderate 13
24 Nov	25.9 °C	36 %	20 km/h	0.0 mm	Moderate 15
25 Nov	25.2 °C	37 %	20 km/h	0.0 mm	Moderate 14
26 Nov	25.5 °C	37 %	23 km/h	0.0 mm	Moderate 16
27 Nov	26.3 °C	45 %	20 km/h	0.0 mm	Moderate 15
28 Nov	25.0 °C	43 %	22 km/h	0.0 mm	Moderate 15
29 Nov	25.5 °C	43 %	19 km/h	0.0 mm	Moderate 14
30 Nov	25.4 °C	47 %	13 km/h	0.0 mm	Moderate 13
1 Dec	25.5 °C	51 %	16 km/h	0.0 mm	Moderate 13
2 Dec	25.6 °C	46 %	17 km/h	0.0 mm	Moderate 13
3 Dec after	25.4 °C	40 %	21 km/h	0.0 mm	Moderate 15
4 Dec after	23.7 °C	35 %	18 km/h	0.0 mm	Moderate 14
5 Dec after	23.0 °C	38 %	16 km/h	0.0 mm	Moderate 14
6 Dec after	22.7 °C	40 %	16 km/h	0.0 mm	Moderate 14
7 Dec after	24.4 °C	40 %	15 km/h	0.0 mm	Moderate 14
8 Dec after	24.6 °C	46 %	14 km/h	0.0 mm	Moderate 14
9 Dec after	24.9 °C	41 %	14 km/h	0.0 mm	Moderate 14
10 Dec after	24.4 °C	43 %	15 km/h	0.0 mm	Moderate 15
11 Dec after	24.3 °C	45 %	18 km/h	0.0 mm	Moderate 15
12 Dec after	24.4 °C	48 %	17 km/h	0.0 mm	Moderate 15
13 Dec after	23.9 °C	51 %	14 km/h	0.0 mm	Moderate 13
14 Dec after	23.7 °C	48 %	13 km/h	0.0 mm	Moderate 14
15 Dec after	23.1 °C	52 %	16 km/h	0.0 mm	Moderate 13
16 Dec after	23.0 °C	55 %	16 km/h	0.0 mm	Moderate 12
17 Dec after	23.8 °C	51 %	16 km/h	0.0 mm	Moderate 12

Before and after, from space

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

↔

Before · 1 Nov 2025

After · 9 Dec 2025

Before After

If the day is cloudy, change the date: each satellite passes once a day. In false colour the burnt ground looks brown or red.

The smoke

CAMS · Copernicus

On 21 November 2025 the air beside the fire reached 139 µg/m³ of PM2.5. That day averaged 109: 7.3 times the WHO daily guideline (15).

PM2.5 peak139 µg/m³

Days over the guideline30 days

PM10146 µg/m³

Optical depth1.18

WHO 15

678910111213141516171819202122232425262728293012345

Good Fair Moderate Poor Very poor Extremely poor

Particles from the Copernicus CAMS model at the centre of the perimeter; these are not measurements in each town. The pale bar is the worst hour, the solid one the daily average.

Open-Meteo.com (CC BY 4.0) · Copernicus Atmosphere Monitoring Service (CAMS)

Detections table · 2,473Every 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 time	Satellite	FRP (MW)	Lat	Lon

Other fires nearby

All fires in India ›

Frequently asked questions

How long did the Sheopur fire last?: GWIS (Copernicus) dates it between 8 November 2025 and 2 December 2025: 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 96,493 hectares (964.9 km²). It is an estimate: official national figures may differ.
Which municipalities burned?: The fire entered 6 municipalities: Sheopur (54,843 ha, 57 %); Badoda (38,166 ha, 64 %); Karahal (3,000 ha, 1.3 %); Pipalda (481 ha, 0.5 %); Khandar (404 ha, 0.4 %); Mangrol (3 ha, 0.0 %).
What was the weather like?: During the fire the temperature reached 30.7 °C, humidity dropped to 22 % and gusts hit 24 km/h. The fire danger index (FWI) reached 16, class Moderate.
Where does this data come from?: From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of India (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: 112 · Emergency number and official warnings ›

Satellite cross-check

NASA FIRMS ↗
GWIS · Copernicus ↗

History of this page Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.

No changes since 24 October 2026.

RSS Changes to this page

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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What really happened?

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We will only use your email to reply about this report. Privacy. This is not an emergency service: if there is a fire now, call 112.

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. 2,473 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 2025, 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 ADM3 (Open Data Commons Open Database License 1.0). 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.

Where it burned