Nanpara fire, April 2019 India
The fire started on 21 April 2019 in Nanpara, India, and satellites saw it burning for 12 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 21,844 hectares from heat detections, spread across a single municipality.
It is the 2th largest in Uttar Pradesh since 2016 (of 30 with a page). Number 2 in India in 2019, of 28.
The power measured by the satellite is low (10.3 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
- 21,844ha
- GWIS perimeter (Copernicus)
- Duration
- 12days
- 21 Apr 2019 – 2 May 2019
- Municipalities hit
- 0
- subdistricts
- Started on
- 21 Apr
- 2019
- Heat detections
- 187
- in a single hotspot: 10 MW
- Danger at start
- 30
- High · FWI index
- Energy released
- 534MW
- sum of detected power
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: 1.8 mm on 16 May.
This area had burned before
82% of the perimeter overlaps earlier fires recorded since 2016: 15,303 ha in 2016, 10,034 ha in 2017, 3,612 ha in 2018. Part of it burned more than once, so the yearly figures add up to more than the 17,964 ha that had burned before.
- 8,356 ha Mihinpurwa Motipur fire, April 2016 17,983 ha in total; the hectares shown are those it shares with this fire
- 4,349 ha Mihinpurwa Motipur fire, April 2017 5,555 ha in total; the hectares shown are those it shares with this fire
- 4,263 ha Mihinpurwa Motipur fire, April 2016 6,231 ha in total; the hectares shown are those it shares with this fire
- 466 ha Kohalpur fire, April 2016 6,431 ha in total; the hectares shown are those it shares with this fire
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) |
|---|---|---|---|---|---|
| 19 Apr | 31.6 °C | 20 % | 31 km/h | 0.0 mm | High 30 |
| 20 Apr | 32.6 °C | 23 % | 27 km/h | 0.0 mm | High 29 |
| 21 Apr | 33.2 °C | 27 % | 28 km/h | 0.0 mm | High 28 |
| 22 Apr | 33.5 °C | 27 % | 27 km/h | 0.0 mm | High 33 |
| 23 Apr | 32.7 °C | 34 % | 32 km/h | 0.0 mm | High 32 |
| 24 Apr | 33.6 °C | 36 % | 24 km/h | 0.0 mm | High 29 |
| 25 Apr | 35.7 °C | 31 % | 42 km/h | 0.0 mm | High 35 |
| 26 Apr | 36.6 °C | 22 % | 43 km/h | 0.0 mm | Very high 42 |
| 27 Apr | 36.9 °C | 20 % | 35 km/h | 0.0 mm | Very high 42 |
| 28 Apr | 36.7 °C | 18 % | 37 km/h | 0.0 mm | Very high 45 |
| 29 Apr | 36.4 °C | 21 % | 32 km/h | 0.0 mm | Very high 42 |
| 30 Apr | 37.1 °C | 22 % | 34 km/h | 0.0 mm | Very high 42 |
| 1 May | 37.6 °C | 23 % | 32 km/h | 0.0 mm | Very high 41 |
| 2 May | 37.1 °C | 19 % | 34 km/h | 0.0 mm | Very high 42 |
| 3 May after | 32.2 °C | 28 % | 42 km/h | 0.2 mm | Very high 42 |
| 4 May after | 33.2 °C | 30 % | 41 km/h | 0.0 mm | Very high 41 |
| 5 May after | 35.2 °C | 15 % | 41 km/h | 0.0 mm | Very high 50 |
| 6 May after | 36.3 °C | 15 % | 52 km/h | 0.0 mm | Extreme 58 |
| 7 May after | 37.0 °C | 14 % | 54 km/h | 0.0 mm | Extreme 61 |
| 8 May after | 37.5 °C | 15 % | 52 km/h | 0.0 mm | Extreme 61 |
| 9 May after | 37.2 °C | 15 % | 49 km/h | 0.0 mm | Extreme 60 |
| 10 May after | 36.4 °C | 24 % | 36 km/h | 0.0 mm | Very high 49 |
| 11 May after | 37.0 °C | 21 % | 32 km/h | 0.0 mm | Very high 45 |
| 12 May after | 35.4 °C | 22 % | 32 km/h | 0.0 mm | Very high 46 |
| 13 May after | 35.6 °C | 24 % | 31 km/h | 0.0 mm | Very high 45 |
| 14 May after | 32.8 °C | 32 % | 33 km/h | 0.8 mm | High 31 |
| 15 May after | 33.9 °C | 31 % | 39 km/h | 0.0 mm | High 37 |
| 16 May after | 34.8 °C | 29 % | 35 km/h | 1.8 mm | High 28 |
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 · 187Every 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 Nanpara fire last?
- GWIS (Copernicus) dates it between 21 April 2019 and 2 May 2019: 12 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 21,844 hectares (218.4 km²). It is an estimate: official national figures may differ.
- What was the weather like?
- During the fire the temperature reached 37.6 °C, humidity dropped to 14 % and gusts hit 54 km/h. The fire danger index (FWI) reached 61, class Extreme.
- 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
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
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.