Baraily fire, April 2026 Baraily, Sohagpur
The fire started on 4 April 2026 in Baraily, India, and satellites saw it burning for 9 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 9,469 hectares from heat detections, spread across 2 municipalities.
It is the 29th largest in Madhya Pradesh since 2016 (of 60 with a page). Number 17 in India in 2026, of 58.
The power measured by the satellite is low (27.0 MW in the strongest hotspot), more typical of grass or stubble burning, or a slow surface fire, than of a large crown fire.
Compare with…
- Burnt area
- 9,469ha
- GWIS perimeter (Copernicus)
- Duration
- 9days
- 4 Apr 2026 – 12 Apr 2026
- Municipalities hit
- 2
- subdistricts
- Started on
- 4 Apr
- 2026
- Heat detections
- 292
- in a single hotspot: 27 MW
- Danger at start
- 32
- High · FWI index
- Average daily power
- 273MW
- 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 one day without rain (1 mm or more) when it started. Rain came after the fire: 1.3 mm on 20 Apr.
This area had burned before
82% of the perimeter overlaps earlier fires recorded since 2016: 2,263 ha in 2016, 1,275 ha in 2017, 1,777 ha in 2018, 2,563 ha in 2019, 4,314 ha in 2020, 4,302 ha in 2021, 5,024 ha in 2022, 2,592 ha in 2023, 1,225 ha in 2024, 1,812 ha in 2025. Part of it burned more than once, so the yearly figures add up to more than the 7,757 ha that had burned before.
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
-
Baraily where it started9,505 ha reached on 4 Apr17 %
-
5 ha reached on 6 Apr0.0 %
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 2025Inside the perimeter there were about 41 hectares of built-up land and about 10,000 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) |
|---|---|---|---|---|---|
| 4 Apr | 34.7 °C | 33 % | 32 km/h | 0.5 mm | High 32 |
| 5 Apr | 34.4 °C | 24 % | 32 km/h | 0.0 mm | Very high 39 |
| 6 Apr | 35.9 °C | 23 % | 18 km/h | 0.0 mm | High 33 |
| 7 Apr | 34.9 °C | 26 % | 35 km/h | 0.0 mm | Very high 42 |
| 8 Apr | 32.9 °C | 38 % | 43 km/h | 1.3 mm | High 26 |
| 9 Apr | 33.9 °C | 30 % | 27 km/h | 0.0 mm | High 30 |
| 10 Apr | 35.2 °C | 22 % | 27 km/h | 0.0 mm | Very high 38 |
| 11 Apr | 37.2 °C | 18 % | 20 km/h | 0.0 mm | Very high 40 |
| 12 Apr | 39.3 °C | 21 % | 28 km/h | 0.0 mm | Very high 44 |
| 13 Apr after | 38.5 °C | 20 % | 28 km/h | 0.0 mm | Very high 43 |
| 14 Apr after | 40.5 °C | 18 % | 20 km/h | 0.0 mm | Very high 42 |
| 15 Apr after | 39.9 °C | 18 % | 33 km/h | 0.0 mm | Very high 50 |
| 16 Apr after | 40.5 °C | 20 % | 18 km/h | 0.0 mm | Very high 41 |
| 17 Apr after | 41.3 °C | 21 % | 24 km/h | 0.0 mm | Very high 44 |
| 18 Apr after | 40.4 °C | 22 % | 22 km/h | 0.0 mm | Very high 46 |
| 19 Apr after | 41.8 °C | 19 % | 21 km/h | 0.0 mm | Very high 46 |
| 20 Apr after | 39.6 °C | 21 % | 37 km/h | 1.3 mm | Very high 47 |
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.
The smoke
CAMS · CopernicusOn 7 April 2026 the air beside the fire reached 42 µg/m³ of PM2.5. That day averaged 32: 2.2 times the WHO daily guideline (15).
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 · 292Every 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 Baraily fire last?
- According to the heat detections seen by satellite inside the perimeter, it burned from 4 April 2026 to 12 April 2026 (9 days). The perimeter dates it from 4 April 2026 to 9 April 2026.
- How much area did it burn?
- The perimeter GWIS (Copernicus) rebuilt from heat detections is 9,469 hectares (94.7 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Baraily (9,505 ha, 17 %); Sohagpur (5 ha, 0.0 %).
- What was the weather like?
- During the fire the temperature reached 39.3 °C, humidity dropped to 18 % and gusts hit 43 km/h. The fire danger index (FWI) reached 44, class Very high.
- 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
History of this page · 1 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
- Last day with fire: 9 April 2026 → 12 April 2026.
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 adjusted with the VIIRS detections inside the perimeter, which said 4 April 2026 to 9 April 2026. 292 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.
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.