Sidoktaya fire, 14 March 2019 Kanpetlet, Sidoktaya, Saw
The fire started on 14 March 2019 in Sidoktaya, Myanmar, and satellites saw it burning for 33 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 29,536 hectares from heat detections, spread across 3 municipalities.
It is the 3th largest in Magway since 2016 (of 190 with a page). The largest in Myanmar in 2019, of 177.
Compare with…
- Burnt area
- 29,536ha
- GWIS perimeter (Copernicus)
- Duration
- 33days
- 14 Mar 2019 – 15 Apr 2019
- Municipalities hit
- 3
- municipalities
- Started on
- 14 Mar
- 2019
- Heat detections
- 1,682
- in a single hotspot: 182 MW
- Danger at start
- 13
- Moderate · FWI index
- Average daily power
- 299MW
- 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.
This area had burned before
77% of the perimeter overlaps earlier fires recorded since 2016: 14,764 ha in 2016, 14,788 ha in 2017, 7,482 ha in 2018. Part of it burned more than once, so the yearly figures add up to more than the 22,823 ha that had burned before.
- 11,952 ha Sidoktaya fire, March 2017 16,167 ha in total; the hectares shown are those it shares with this fire
- 5,403 ha Kanpetlet fire, April 2016 7,201 ha in total; the hectares shown are those it shares with this fire
- 2,231 ha Kanpetlet fire, March 2018 2,258 ha in total; the hectares shown are those it shares with this fire
- 1,533 ha Sidoktaya fire, March 2016 2,754 ha in total; the hectares shown are those it shares with this fire
- 597 ha Kanpetlet fire, March 2017 3,535 ha in total; the hectares shown are those it shares with this fire
- 227 ha Kanpetlet fire, March 2018 2,138 ha in total; the hectares shown are those it shares with this fire
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
-
21,974 ha8.8 %
-
Sidoktaya where it started4,691 ha1.7 %
-
3,014 ha1.7 %
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 2020Inside the perimeter there were about 0.46 hectares of built-up land and about 600 residents (GHSL 2020, 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.
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) |
|---|---|---|---|---|---|
| 9 Mar | 32.0 °C | 27 % | 40 km/h | 1.1 mm | Moderate 13 |
| 10 Mar | 33.7 °C | 29 % | 29 km/h | 0.0 mm | Moderate 20 |
| 11 Mar | 34.9 °C | 33 % | 35 km/h | 0.0 mm | Moderate 19 |
| 12 Mar | 36.9 °C | 25 % | 28 km/h | 0.0 mm | High 23 |
| 13 Mar | 36.9 °C | 29 % | 30 km/h | 0.0 mm | High 23 |
| 14 Mar | 37.4 °C | 32 % | 28 km/h | 0.0 mm | High 24 |
| 15 Mar | 37.8 °C | 31 % | 30 km/h | 0.0 mm | High 25 |
| 16 Mar | 37.6 °C | 32 % | 29 km/h | 0.0 mm | High 26 |
| 17 Mar | 36.1 °C | 20 % | 24 km/h | 0.0 mm | High 29 |
| 18 Mar | 37.8 °C | 25 % | 44 km/h | 0.0 mm | High 32 |
| 19 Mar | 35.6 °C | 30 % | 50 km/h | 0.0 mm | High 34 |
| 20 Mar | 35.7 °C | 33 % | 48 km/h | 0.0 mm | High 32 |
| 21 Mar | 36.7 °C | 24 % | 39 km/h | 0.0 mm | High 29 |
| 22 Mar | 38.5 °C | 22 % | 41 km/h | 0.0 mm | High 31 |
| 23 Mar | 38.6 °C | 27 % | 44 km/h | 0.0 mm | High 33 |
| 24 Mar | 37.9 °C | 26 % | 31 km/h | 0.0 mm | High 33 |
| 25 Mar | 38.6 °C | 27 % | 38 km/h | 0.0 mm | High 34 |
| 26 Mar | 38.8 °C | 28 % | 41 km/h | 0.0 mm | High 35 |
| 27 Mar | 37.6 °C | 27 % | 48 km/h | 0.0 mm | Very high 38 |
| 28 Mar | 37.1 °C | 24 % | 27 km/h | 0.0 mm | High 34 |
| 29 Mar | 37.7 °C | 32 % | 42 km/h | 0.0 mm | High 35 |
| 30 Mar | 38.3 °C | 21 % | 44 km/h | 0.0 mm | Very high 39 |
| 31 Mar | 37.6 °C | 28 % | 48 km/h | 0.0 mm | Very high 42 |
| 1 Apr | 36.4 °C | 29 % | 38 km/h | 0.2 mm | High 35 |
| 2 Apr | 37.9 °C | 29 % | 48 km/h | 0.9 mm | High 32 |
| 3 Apr | 38.0 °C | 21 % | 51 km/h | 0.0 mm | Very high 40 |
| 4 Apr | 38.4 °C | 25 % | 52 km/h | 0.0 mm | Very high 40 |
| 5 Apr | 38.2 °C | 27 % | 48 km/h | 0.0 mm | Very high 41 |
| 6 Apr | 35.6 °C | 35 % | 45 km/h | 1.9 mm | Moderate 18 |
| 7 Apr | 38.5 °C | 24 % | 55 km/h | 0.1 mm | Very high 40 |
| 8 Apr | 37.4 °C | 27 % | 54 km/h | 0.2 mm | Very high 40 |
| 9 Apr | 35.8 °C | 30 % | 51 km/h | 0.2 mm | Very high 40 |
| 10 Apr | 37.7 °C | 22 % | 49 km/h | 0.9 mm | Very high 38 |
| 11 Apr | 39.0 °C | 25 % | 41 km/h | 0.0 mm | High 34 |
| 12 Apr | 40.2 °C | 26 % | 43 km/h | 0.1 mm | High 38 |
| 13 Apr | 40.4 °C | 30 % | 39 km/h | 0.0 mm | Very high 39 |
| 14 Apr | 40.6 °C | 28 % | 46 km/h | 0.0 mm | High 38 |
| 15 Apr | 40.3 °C | 26 % | 45 km/h | 0.0 mm | Very high 38 |
| 16 Apr after | 40.6 °C | 26 % | 38 km/h | 0.3 mm | High 37 |
| 17 Apr after | 40.9 °C | 30 % | 32 km/h | 0.8 mm | High 32 |
| 18 Apr after | 41.3 °C | 25 % | 46 km/h | 0.0 mm | Very high 39 |
| 19 Apr after | 40.5 °C | 23 % | 43 km/h | 0.0 mm | Very high 40 |
| 20 Apr after | 40.6 °C | 24 % | 45 km/h | 0.4 mm | Very high 42 |
| 21 Apr after | 40.1 °C | 21 % | 43 km/h | 0.0 mm | Very high 40 |
| 22 Apr after | 40.0 °C | 29 % | 39 km/h | 1.3 mm | High 32 |
| 23 Apr after | 39.3 °C | 25 % | 42 km/h | 0.0 mm | High 37 |
| 24 Apr after | 40.6 °C | 26 % | 46 km/h | 0.0 mm | Very high 39 |
| 25 Apr after | 41.3 °C | 24 % | 46 km/h | 0.0 mm | Very high 41 |
| 26 Apr after | 40.3 °C | 28 % | 43 km/h | 0.0 mm | Very high 43 |
| 27 Apr after | 40.1 °C | 30 % | 48 km/h | 0.0 mm | Very high 45 |
| 28 Apr after | 39.9 °C | 27 % | 48 km/h | 0.6 mm | Very high 40 |
| 29 Apr after | 41.5 °C | 25 % | 49 km/h | 0.0 mm | Very high 44 |
| 30 Apr after | 40.9 °C | 28 % | 48 km/h | 0.4 mm | Very high 45 |
| 1 May after | 38.4 °C | 36 % | 52 km/h | 0.6 mm | High 35 |
| 2 May after | 37.0 °C | 41 % | 41 km/h | 0.6 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 · 1,682Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 19,378 haKanpetlet4 March 2021 · 24 days · 6 km away
- 19,991 haKanpetletMarch 2025 · 16 days · 8 km away
- 24,764 haKanpetlet27 March 2020 · 23 days · 10 km away
- 17,031 haKanpetletMarch 2024 · 16 days · 11 km away
- 18,538 haKanpetlet14 March 2020 · 28 days · 16 km away
- 99,370 haSaw24 February 2026 · 51 days · 25 km away
Frequently asked questions
- How long did the Sidoktaya fire last?
- GWIS (Copernicus) dates it between 14 March 2019 and 15 April 2019: 33 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 29,536 hectares (295.4 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 3 municipalities: Kanpetlet (21,974 ha, 8.8 %); Sidoktaya (4,691 ha, 1.7 %); Saw (3,014 ha, 1.7 %).
- What was the weather like?
- During the fire the temperature reached 41.3 °C, humidity dropped to 20 % and gusts hit 55 km/h. The fire danger index (FWI) reached 42, class Very high.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Myanmar (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.
Satellite cross-check
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.
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; 5 polygons grouped in this page.
- Dates from the perimeter: the VIIRS detections inside it did not change them. 1,682 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 2020, 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 (Creative Commons Attribution 4.0 (CC BY 4.0)). 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.