Obulavaripalle fire, March 2016 T Sundupalle, Pullampeta, Obulavaripalle
The fire started on 23 March 2016 in Obulavaripalle, India, and satellites saw it burning for 8 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 6,611 hectares from heat detections, spread across 3 municipalities.
It is the 18th largest in Andhra Pradesh since 2016 (of 30 with a page). Number 29 in India in 2016, of 47.
- Burnt area
- 6,611ha
- GWIS perimeter (Copernicus)
- Duration
- 8days
- 23 Mar 2016 – 30 Mar 2016
- Municipalities hit
- 3
- subdistricts
- Started on
- 23 Mar
- 2016
- Heat detections
- 186
- in a single hotspot: 31 MW
- Danger at start
- 32
- High · FWI index
- Energy released
- 1.0GW
- 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 3 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.
What happened to each town
-
3,664 ha reached on 23 Mar7.2 %
-
1,819 ha reached on 24 Mar4.5 %
-
Obulavaripalle where it started1,166 ha reached on 19 Mar2.5 %
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) |
|---|---|---|---|---|---|
| 19 Mar | 36.3 °C | 27 % | 25 km/h | 0.0 mm | High 32 |
| 20 Mar | 36.9 °C | 26 % | 24 km/h | 0.0 mm | High 36 |
| 21 Mar | 38.2 °C | 26 % | 31 km/h | 0.0 mm | Very high 38 |
| 22 Mar | 37.6 °C | 27 % | 32 km/h | 0.0 mm | High 38 |
| 23 Mar | 36.7 °C | 29 % | 30 km/h | 0.0 mm | Very high 39 |
| 24 Mar | 35.3 °C | 30 % | 34 km/h | 0.0 mm | Very high 39 |
| 25 Mar | 35.4 °C | 26 % | 31 km/h | 0.0 mm | High 38 |
| 26 Mar | 35.1 °C | 27 % | 31 km/h | 0.0 mm | Very high 38 |
| 27 Mar | 35.1 °C | 23 % | 32 km/h | 0.0 mm | Very high 40 |
| 28 Mar | 33.9 °C | 32 % | 31 km/h | 0.0 mm | High 37 |
| 29 Mar | 35.3 °C | 30 % | 29 km/h | 0.0 mm | High 37 |
| 30 Mar | 35.5 °C | 29 % | 30 km/h | 0.0 mm | High 37 |
| 31 Mar after | 35.4 °C | 30 % | 32 km/h | 0.0 mm | High 37 |
| 1 Apr after | 35.3 °C | 31 % | 29 km/h | 0.0 mm | High 38 |
| 2 Apr after | 36.2 °C | 29 % | 28 km/h | 0.0 mm | High 37 |
| 3 Apr after | 36.5 °C | 30 % | 30 km/h | 0.0 mm | High 38 |
| 4 Apr after | 37.1 °C | 24 % | 28 km/h | 0.0 mm | Very high 39 |
| 5 Apr after | 36.5 °C | 24 % | 27 km/h | 0.0 mm | Very high 40 |
| 6 Apr after | 36.1 °C | 29 % | 27 km/h | 0.0 mm | Very high 42 |
| 7 Apr after | 36.9 °C | 28 % | 37 km/h | 0.0 mm | Very high 43 |
| 8 Apr after | 36.2 °C | 33 % | 33 km/h | 0.0 mm | Very high 40 |
| 9 Apr after | 36.1 °C | 33 % | 31 km/h | 0.0 mm | Very high 40 |
| 10 Apr after | 36.0 °C | 29 % | 27 km/h | 0.0 mm | Very high 40 |
| 11 Apr after | 37.4 °C | 25 % | 31 km/h | 0.0 mm | Very high 40 |
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 · 186Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 6,245 haT SundupalleMarch 2023 · 6 days · 1 km away
- 23,484 haT SundupalleApril 2026 · 11 days · 3 km away
- 20,243 haObulavaripalleMarch 2021 · 20 days · 3 km away
- 10,735 haObulavaripalleMarch 2019 · 5 days · 17 km away
- 6,910 haKodurMarch 2022 · 7 days · 19 km away
- 7,324 haKodurApril 2017 · 8 days · 27 km away
Frequently asked questions
- How long did the Obulavaripalle fire last?
- GWIS (Copernicus) dates it between 23 March 2016 and 30 March 2016: 8 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 6,611 hectares (66.1 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 3 municipalities: T Sundupalle (3,664 ha, 7.2 %); Pullampeta (1,819 ha, 4.5 %); Obulavaripalle (1,166 ha, 2.5 %).
- What was the weather like?
- During the fire the temperature reached 38.2 °C, humidity dropped to 23 % and gusts hit 34 km/h. The fire danger index (FWI) reached 40, 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
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.