Sidoktaya fire, 24 March 2017 Kanpetlet, Sidoktaya, Saw
The fire started on 24 March 2017 in Sidoktaya, Myanmar, and satellites saw it burning for 22 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 16,167 hectares from heat detections, spread across 3 municipalities.
It is the 7th largest in Magway since 2016 (of 190 with a page). The largest in Myanmar in 2017, of 145.
Compare with…
- Burnt area
- 16,167ha
- GWIS perimeter (Copernicus)
- Duration
- 22days
- 24 Mar 2017 – 14 Apr 2017
- Municipalities hit
- 3
- municipalities
- Started on
- 24 Mar
- 2017
- Heat detections
- 729
- in a single hotspot: 95 MW
- Danger at start
- 26
- High · FWI index
- Average daily power
- 257MW
- 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 3 days without rain (1 mm or more) when it started. Rain came after the fire: 23.1 mm on 16 Apr.
This area had burned before
57% of the perimeter overlaps earlier fires recorded since 2016: 9,699 ha in 2016.
- 4,357 ha Kanpetlet fire, April 2016 7,201 ha in total; the hectares shown are those it shares with this fire
- 2,306 ha Sidoktaya fire, March 2016 2,754 ha in total; the hectares shown are those it shares with this fire
- 339 ha Sidoktaya fire, March 2016 3,245 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
-
7,622 ha reached on 25 Mar3.0 %
-
Sidoktaya where it started5,589 ha reached on 24 Mar2.0 %
-
3,042 ha reached on 24 Mar1.7 %
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 2015Inside the perimeter there were about 0.72 hectares of built-up land and about 550 residents (GHSL 2015, 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) |
|---|---|---|---|---|---|
| 24 Mar | 35.0 °C | 25 % | 37 km/h | 0.0 mm | High 26 |
| 25 Mar | 35.9 °C | 26 % | 40 km/h | 0.0 mm | High 25 |
| 26 Mar | 34.0 °C | 33 % | 27 km/h | 0.0 mm | High 25 |
| 27 Mar | 35.7 °C | 25 % | 45 km/h | 0.0 mm | High 30 |
| 28 Mar | 34.5 °C | 29 % | 46 km/h | 0.0 mm | High 30 |
| 29 Mar | 33.4 °C | 31 % | 55 km/h | 0.0 mm | High 33 |
| 30 Mar | 32.2 °C | 44 % | 64 km/h | 0.0 mm | High 28 |
| 31 Mar | 35.8 °C | 28 % | 38 km/h | 0.0 mm | High 26 |
| 1 Apr | 33.9 °C | 37 % | 41 km/h | 0.0 mm | High 27 |
| 2 Apr | 33.6 °C | 36 % | 55 km/h | 0.0 mm | High 31 |
| 3 Apr | 30.2 °C | 48 % | 62 km/h | 3.5 mm | Low 7 |
| 4 Apr | 31.1 °C | 34 % | 48 km/h | 0.6 mm | Moderate 17 |
| 5 Apr | 33.6 °C | 30 % | 47 km/h | 0.0 mm | High 25 |
| 6 Apr | 36.5 °C | 28 % | 33 km/h | 0.0 mm | High 24 |
| 7 Apr | 37.0 °C | 32 % | 38 km/h | 0.0 mm | High 27 |
| 8 Apr | 38.3 °C | 30 % | 29 km/h | 0.0 mm | High 27 |
| 9 Apr | 37.7 °C | 28 % | 38 km/h | 0.0 mm | High 29 |
| 10 Apr | 38.7 °C | 22 % | 38 km/h | 0.0 mm | High 33 |
| 11 Apr | 35.7 °C | 24 % | 34 km/h | 0.0 mm | High 33 |
| 12 Apr | 37.1 °C | 28 % | 34 km/h | 0.0 mm | High 33 |
| 13 Apr | 36.3 °C | 27 % | 41 km/h | 0.0 mm | High 36 |
| 14 Apr | 32.5 °C | 36 % | 39 km/h | 0.0 mm | High 30 |
| 15 Apr after | 32.6 °C | 35 % | 33 km/h | 0.6 mm | High 25 |
| 16 Apr after | 23.7 °C | 81 % | 37 km/h | 23.1 mm | Very low 0 |
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 · 729Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 24,764 haKanpetlet20 March 2020 · 30 days · 7 km away
- 17,092 haSaw21 February 2021 · 32 days · 9 km away
- 19,378 haKanpetletFebruary 2021 · 38 days · 15 km away
- 29,536 haSidoktaya9 March 2019 · 45 days · 16 km away
- 19,991 haKanpetlet7 March 2025 · 30 days · 17 km away
- 54,708 haSidoktayaMarch 2023 · 37 days · 25 km away
Frequently asked questions
- How long did the Sidoktaya fire last?
- According to the heat detections seen by satellite inside the perimeter, it burned from 24 March 2017 to 14 April 2017 (22 days). The perimeter dates it from 27 March 2017 to 14 April 2017.
- How much area did it burn?
- The perimeter GWIS (Copernicus) rebuilt from heat detections is 16,167 hectares (161.7 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 3 municipalities: Kanpetlet (7,622 ha, 3.0 %); Sidoktaya (5,589 ha, 2.0 %); Saw (3,042 ha, 1.7 %).
- What was the weather like?
- During the fire the temperature reached 38.7 °C, humidity dropped to 22 % and gusts hit 64 km/h. The fire danger index (FWI) reached 36, class 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 · 1 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
- Start date: 27 March 2017 → 24 March 2017.
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; 3 polygons grouped in this page.
- Dates adjusted with the VIIRS detections inside the perimeter, which said 27 March 2017 to 14 April 2017. 729 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 2015, 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.