Silvanópolis fire, September 2025 Silvanópolis, Monte do Carmo
The fire started on 30 September 2025 in Silvanópolis, Brazil, and satellites saw it burning for 8 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 14,412 hectares from heat detections, spread across 2 municipalities.
It is the 114th largest in Tocantins since 2016 (of 1242 with a page). Number 68 in Brazil in 2025, of 714.
- Burnt area
- 14,412ha
- GWIS perimeter (Copernicus)
- Duration
- 8days
- 30 Sept 2025 – 7 Oct 2025
- Municipalities hit
- 2
- municipalities
- Started on
- 30 Sept
- 2025
- Heat detections
- 465
- in a single hotspot: 136 MW
- Danger at start
- 46
- Very high · FWI index
- Energy released
- 2.9GW
- 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 6 days without rain (1 mm or more) when it started. Rain came after the fire: 1.9 mm on 9 Oct.
This area had burned before
72% of the perimeter overlaps earlier fires recorded since 2016: 2,275 ha in 2016, 102 ha in 2017, 5,115 ha in 2018, 6,299 ha in 2019, 3,803 ha in 2020, 7,784 ha in 2022. Part of it burned more than once, so the yearly figures add up to more than the 10,322 ha that had burned before.
- 7,784 ha Silvanópolis fire, August 2022 9,930 ha in total; the hectares shown are those it shares with this fire
- 3,980 ha Silvanópolis fire, August 2019 4,682 ha in total; the hectares shown are those it shares with this fire
- 3,803 ha Silvanópolis fire, September 2020 6,574 ha in total; the hectares shown are those it shares with this fire
- 3,653 ha Silvanópolis fire, August 2018 5,007 ha in total; the hectares shown are those it shares with this fire
- 102 ha Silvanópolis fire, September 2017 3,197 ha in total; the hectares shown are those it shares with this fire
- 85 ha Monte do Carmo fire, September 2016 7,739 ha in total; the hectares shown are those it shares with this fire
- 11 ha Monte do Carmo fire, August 2019 13,188 ha in total; the hectares shown are those it shares with this fire
What happened to each town
-
Silvanópolis where it started10,983 ha reached on 30 Sept8.7 %
-
Monte do Carmo 5,694 inhabitants3,522 ha reached on 2 Oct1.0 %
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) |
|---|---|---|---|---|---|
| 30 Sept | 38.1 °C | 18 % | 39 km/h | 0.0 mm | Very high 46 |
| 1 Oct | 38.0 °C | 17 % | 41 km/h | 0.0 mm | Very high 47 |
| 2 Oct | 38.5 °C | 14 % | 36 km/h | 0.0 mm | Very high 48 |
| 3 Oct | 37.8 °C | 17 % | 47 km/h | 0.0 mm | Extreme 54 |
| 4 Oct | 37.2 °C | 19 % | 49 km/h | 0.0 mm | Extreme 58 |
| 5 Oct | 37.4 °C | 18 % | 50 km/h | 0.0 mm | Extreme 58 |
| 6 Oct | 37.9 °C | 23 % | 44 km/h | 0.0 mm | Extreme 51 |
| 7 Oct | 38.7 °C | 21 % | 39 km/h | 0.0 mm | Very high 48 |
| 8 Oct after | 37.5 °C | 26 % | 39 km/h | 0.0 mm | Very high 44 |
| 9 Oct after | 32.8 °C | 37 % | 31 km/h | 1.9 mm | Moderate 20 |
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 October 2025 the air beside the fire reached 85 µg/m³ of PM2.5. That day averaged 44: 2.9 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 · 465Every 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 Silvanópolis fire last?
- GWIS (Copernicus) dates it between 30 September 2025 and 7 October 2025: 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 14,412 hectares (144.1 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Silvanópolis (10,983 ha, 8.7 %); Monte do Carmo (3,522 ha, 1.0 %).
- What was the weather like?
- During the fire the temperature reached 38.7 °C, humidity dropped to 14 % and gusts hit 50 km/h. The fire danger index (FWI) reached 58, class Extreme.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Brazil (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: 193
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 ADM2 (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.