Tha Pla fire, January 2022 ท่าปลา · Nam Pat, Tha Pla
The fire started on 28 January 2022 in Tha Pla, Thailand, and satellites saw it burning for 5 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 1,085 hectares from heat detections, spread across 2 municipalities.
It is the 95th largest in Uttaradit Province since 2016 (of 104 with a page). Number 13 in Thailand in 2022, of 18.
The power measured by the satellite is low (20.5 MW in the strongest hotspot), more typical of grass or stubble burning, or a slow surface fire, than of a large crown fire.
Compare with…
- Burnt area
- 1,085ha
- GWIS perimeter (Copernicus)
- Duration
- 5days
- 28 Jan 2022 – 1 Feb 2022
- Municipalities hit
- 2
- districts
- Started on
- 28 Jan
- 2022
- Heat detections
- 30
- in a single hotspot: 21 MW
- Danger at start
- 21
- Moderate · FWI index
- Average daily power
- 25MW
- 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 5 days without rain (1 mm or more) when it started. Rain came after the fire: 2.2 mm on 5 Feb.
This area had burned before
81% of the perimeter overlaps earlier fires recorded since 2016: 17 ha in 2016, 149 ha in 2017, 536 ha in 2019, 128 ha in 2020, 629 ha in 2021. Part of it burned more than once, so the yearly figures add up to more than the 884 ha that had burned before.
- 629 ha Nam Pat fire, February 2021 2,011 ha in total; the hectares shown are those it shares with this fire
- 211 ha Tha Pla fire, February 2019 2,163 ha in total; the hectares shown are those it shares with this fire
- 3 ha Nam Pat fire, March 2017 2,253 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).
Bangkok boundary: geoBoundaries · OpenStreetMap, Wambacher · © OpenStreetMap contributors (ODbL 1.0).
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).
This compares size, not location: both shapes are at the same scale, north up, centred on each other.
What happened to each town
-
Nam Pat น้ำปาด914 ha0.6 %
-
178 ha0.1 %
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 was no noticeable built-up land and almost nobody lived there (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) |
|---|---|---|---|---|---|
| 28 Jan | 32.3 °C | 31 % | 31 km/h | 0.0 mm | Moderate 21 |
| 29 Jan | 31.4 °C | 32 % | 39 km/h | 0.0 mm | High 24 |
| 30 Jan | 31.1 °C | 31 % | 38 km/h | 0.0 mm | High 24 |
| 31 Jan | 31.8 °C | 22 % | 36 km/h | 0.0 mm | High 27 |
| 1 Feb | 31.3 °C | 39 % | 38 km/h | 0.0 mm | High 25 |
| 2 Feb after | 31.2 °C | 42 % | 36 km/h | 0.8 mm | Moderate 18 |
| 3 Feb after | 30.9 °C | 46 % | 23 km/h | 0.5 mm | Moderate 15 |
| 4 Feb after | 30.0 °C | 49 % | 26 km/h | 0.5 mm | Moderate 16 |
| 5 Feb after | 25.5 °C | 53 % | 25 km/h | 2.2 mm | Very low 4 |
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 · 30Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 13,700 haTha Pla ท่าปลา17 March 2026 · 36 days · 16 km away
- 13,219 haNam Pat น้ำปาด4 April 2026 · 19 days · 19 km away
- 13,146 haNam Pat น้ำปาด18 March 2026 · 37 days · 21 km away
- 17,257 haTha Pla ท่าปลา18 March 2026 · 34 days · 29 km away
- 16,993 haNam Pat น้ำปาด27 March 2026 · 25 days · 35 km away
- 22,704 haFak Tha ฟากท่าMarch 2026 · 30 days · 36 km away
Frequently asked questions
- How long did the Tha Pla fire last?
- GWIS (Copernicus) dates it between 28 January 2022 and 1 February 2022: 5 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 1,085 hectares (10.8 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Nam Pat (914 ha, 0.6 %); Tha Pla (178 ha, 0.1 %).
- What was the weather like?
- During the fire the temperature reached 32.3 °C, humidity dropped to 22 % and gusts hit 39 km/h. The fire danger index (FWI) reached 27, class High.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Thailand (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: 199 · 191 · Emergency number and official warnings ›
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.
- Dates from the perimeter: the VIIRS detections inside it did not change them. 30 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 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.